diff --git a/analyses/pluginATLAS/ATLAS_2011_S9002537.yoda b/analyses/pluginATLAS/ATLAS_2011_S9002537.yoda
--- a/analyses/pluginATLAS/ATLAS_2011_S9002537.yoda
+++ b/analyses/pluginATLAS/ATLAS_2011_S9002537.yoda
@@ -1,37 +1,19 @@
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2011_S9002537/d01-x01-y01
IsRef: 1
Path: /REF/ATLAS_2011_S9002537/d01-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.85594.v1/t1
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.050000e-01 1.050000e-01 1.050000e-01 1.470000e-01 2.024000e-02 2.024000e-02
-3.150000e-01 1.050000e-01 1.050000e-01 1.500000e-01 1.562000e-02 1.562000e-02
-5.250000e-01 1.050000e-01 1.050000e-01 1.580000e-01 1.562000e-02 1.562000e-02
-7.350000e-01 1.050000e-01 1.050000e-01 1.840000e-01 1.802000e-02 1.802000e-02
-9.450000e-01 1.050000e-01 1.050000e-01 1.860000e-01 2.024000e-02 2.024000e-02
-1.210000e+00 1.600000e-01 1.600000e-01 2.400000e-01 1.360000e-02 1.360000e-02
-1.445000e+00 7.500000e-02 7.500000e-02 2.500000e-01 1.486000e-02 1.486000e-02
-1.630000e+00 1.100000e-01 1.100000e-01 2.690000e-01 1.345000e-02 1.345000e-02
-1.845000e+00 1.050000e-01 1.050000e-01 2.730000e-01 1.345000e-02 1.345000e-02
-2.065000e+00 1.150000e-01 1.150000e-01 2.760000e-01 1.499000e-02 1.499000e-02
-2.290000e+00 1.100000e-01 1.100000e-01 2.730000e-01 1.562000e-02 1.562000e-02
+1.050000e-01 1.050000e-01 1.050000e-01 1.470000e-01 2.024846e-02 2.024846e-02
+3.150000e-01 1.050000e-01 1.050000e-01 1.490000e-01 1.562050e-02 1.562050e-02
+5.250000e-01 1.050000e-01 1.050000e-01 1.570000e-01 1.562050e-02 1.562050e-02
+7.350000e-01 1.050000e-01 1.050000e-01 1.840000e-01 1.802776e-02 1.802776e-02
+9.450000e-01 1.050000e-01 1.050000e-01 1.860000e-01 2.024846e-02 2.024846e-02
+1.210000e+00 1.600000e-01 1.600000e-01 2.390000e-01 1.360147e-02 1.360147e-02
+1.445000e+00 7.500000e-02 7.500000e-02 2.490000e-01 1.486607e-02 1.486607e-02
+1.630000e+00 1.100000e-01 1.100000e-01 2.690000e-01 1.345362e-02 1.345362e-02
+1.845000e+00 1.050000e-01 1.050000e-01 2.720000e-01 1.345362e-02 1.345362e-02
+2.065000e+00 1.150000e-01 1.150000e-01 2.770000e-01 1.500000e-02 1.500000e-02
+2.290000e+00 1.100000e-01 1.100000e-01 2.730000e-01 1.562050e-02 1.562050e-02
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2011_S9002537/d02-x01-y01
-IsRef: 1
-Path: /REF/ATLAS_2011_S9002537/d02-x01-y01
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2011_S9002537/d02-x02-y01
-IsRef: 1
-Path: /REF/ATLAS_2011_S9002537/d02-x02-y01
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-END YODA_SCATTER2D_V2
diff --git a/analyses/pluginATLAS/ATLAS_2012_I1199269.yoda b/analyses/pluginATLAS/ATLAS_2012_I1199269.yoda
--- a/analyses/pluginATLAS/ATLAS_2012_I1199269.yoda
+++ b/analyses/pluginATLAS/ATLAS_2012_I1199269.yoda
@@ -1,140 +1,137 @@
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2012_I1199269/d01-x01-y01
IsRef: 1
Path: /REF/ATLAS_2012_I1199269/d01-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.62320.v1/t1
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.000000e+01 1.000000e+01 1.000000e+01 2.470000e-02 7.700000e-03 3.600000e-03
-2.500000e+01 5.000000e+00 5.000000e+00 7.040000e-02 1.440000e-02 9.300000e-03
-3.500000e+01 5.000000e+00 5.000000e+00 9.100000e-02 1.500000e-02 1.200000e-02
-4.500000e+01 5.000000e+00 5.000000e+00 2.520000e-01 3.700000e-02 2.600000e-02
-5.500000e+01 5.000000e+00 5.000000e+00 8.800000e-01 1.200000e-01 7.400000e-02
-6.500000e+01 5.000000e+00 5.000000e+00 8.570000e-01 6.800000e-02 7.100000e-02
-7.500000e+01 5.000000e+00 5.000000e+00 6.260000e-01 5.300000e-02 5.100000e-02
-8.500000e+01 5.000000e+00 5.000000e+00 3.840000e-01 4.900000e-02 5.000000e-02
-9.500000e+01 5.000000e+00 5.000000e+00 3.050000e-01 3.500000e-02 3.200000e-02
-1.050000e+02 5.000000e+00 5.000000e+00 2.120000e-01 2.100000e-02 2.100000e-02
-1.150000e+02 5.000000e+00 5.000000e+00 1.480000e-01 1.500000e-02 1.500000e-02
-1.250000e+02 5.000000e+00 5.000000e+00 1.220000e-01 1.100000e-02 1.500000e-02
-1.350000e+02 5.000000e+00 5.000000e+00 8.290000e-02 7.700000e-03 1.150000e-02
-1.450000e+02 5.000000e+00 5.000000e+00 6.560000e-02 6.100000e-03 9.100000e-03
-1.550000e+02 5.000000e+00 5.000000e+00 5.350000e-02 5.400000e-03 7.500000e-03
-1.650000e+02 5.000000e+00 5.000000e+00 4.510000e-02 4.200000e-03 6.500000e-03
-1.750000e+02 5.000000e+00 5.000000e+00 3.430000e-02 3.500000e-03 5.200000e-03
-1.850000e+02 5.000000e+00 5.000000e+00 2.620000e-02 2.700000e-03 3.500000e-03
-1.950000e+02 5.000000e+00 5.000000e+00 2.090000e-02 2.200000e-03 2.800000e-03
-2.125000e+02 1.250000e+01 1.250000e+01 1.490000e-02 1.500000e-03 2.400000e-03
-2.375000e+02 1.250000e+01 1.250000e+01 9.700000e-03 9.900000e-04 1.580000e-03
-2.625000e+02 1.250000e+01 1.250000e+01 6.160000e-03 7.500000e-04 1.110000e-03
-2.875000e+02 1.250000e+01 1.250000e+01 4.640000e-03 6.900000e-04 8.700000e-04
-3.250000e+02 2.500000e+01 2.500000e+01 2.350000e-03 3.100000e-04 5.100000e-04
-3.750000e+02 2.500000e+01 2.500000e+01 1.160000e-03 1.700000e-04 2.600000e-04
-4.500000e+02 5.000000e+01 5.000000e+01 4.690000e-04 6.900000e-05 9.300000e-05
-6.500000e+02 1.500000e+02 1.500000e+02 8.600000e-05 1.600000e-05 1.900000e-05
+1.000000e+01 1.000000e+01 1.000000e+01 2.470000e-02 7.746612e-03 3.534119e-03
+2.500000e+01 5.000000e+00 5.000000e+00 7.040000e-02 1.436106e-02 9.269844e-03
+3.500000e+01 5.000000e+00 5.000000e+00 9.100000e-02 1.552417e-02 1.170470e-02
+4.500000e+01 5.000000e+00 5.000000e+00 2.520000e-01 3.748333e-02 2.570992e-02
+5.500000e+01 5.000000e+00 5.000000e+00 8.800000e-01 1.205985e-01 7.397973e-02
+6.500000e+01 5.000000e+00 5.000000e+00 8.570000e-01 6.873136e-02 7.170077e-02
+7.500000e+01 5.000000e+00 5.000000e+00 6.260000e-01 5.261179e-02 5.162364e-02
+8.500000e+01 5.000000e+00 5.000000e+00 3.840000e-01 4.866210e-02 4.964877e-02
+9.500000e+01 5.000000e+00 5.000000e+00 3.050000e-01 3.452535e-02 3.157531e-02
+1.050000e+02 5.000000e+00 5.000000e+00 2.120000e-01 2.137756e-02 2.137756e-02
+1.150000e+02 5.000000e+00 5.000000e+00 1.480000e-01 1.456022e-02 1.552417e-02
+1.250000e+02 5.000000e+00 5.000000e+00 1.220000e-01 1.044031e-02 1.529706e-02
+1.350000e+02 5.000000e+00 5.000000e+00 8.290000e-02 7.716217e-03 1.147563e-02
+1.450000e+02 5.000000e+00 5.000000e+00 6.560000e-02 6.109828e-03 9.070832e-03
+1.550000e+02 5.000000e+00 5.000000e+00 5.350000e-02 5.442426e-03 7.446476e-03
+1.650000e+02 5.000000e+00 5.000000e+00 4.510000e-02 4.162932e-03 6.525335e-03
+1.750000e+02 5.000000e+00 5.000000e+00 3.430000e-02 3.443835e-03 5.220153e-03
+1.850000e+02 5.000000e+00 5.000000e+00 2.620000e-02 2.729469e-03 3.453983e-03
+1.950000e+02 5.000000e+00 5.000000e+00 2.090000e-02 2.195450e-03 2.731300e-03
+2.125000e+02 1.250000e+01 1.250000e+01 1.490000e-02 1.523155e-03 2.376973e-03
+2.375000e+02 1.250000e+01 1.250000e+01 9.700000e-03 9.897980e-04 1.578005e-03
+2.625000e+02 1.250000e+01 1.250000e+01 6.160000e-03 7.494665e-04 1.110720e-03
+2.875000e+02 1.250000e+01 1.250000e+01 4.640000e-03 6.911584e-04 8.772685e-04
+3.250000e+02 2.500000e+01 2.500000e+01 2.350000e-03 3.106445e-04 5.092151e-04
+3.750000e+02 2.500000e+01 2.500000e+01 1.160000e-03 1.702939e-04 2.640076e-04
+4.500000e+02 5.000000e+01 5.000000e+01 4.690000e-04 6.862215e-05 9.349332e-05
+6.500000e+02 1.500000e+02 1.500000e+02 9.000000e-05 1.640122e-05 1.984943e-05
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2012_I1199269/d02-x01-y01
IsRef: 1
Path: /REF/ATLAS_2012_I1199269/d02-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.62320.v1/t2
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.000000e+00 1.000000e+00 1.000000e+00 7.270000e-01 9.400000e-02 6.100000e-02
-3.000000e+00 1.000000e+00 1.000000e+00 1.750000e+00 2.300000e-01 1.300000e-01
-5.000000e+00 1.000000e+00 1.000000e+00 2.030000e+00 2.300000e-01 1.500000e-01
-7.000000e+00 1.000000e+00 1.000000e+00 1.880000e+00 2.100000e-01 1.600000e-01
-9.000000e+00 1.000000e+00 1.000000e+00 1.720000e+00 1.900000e-01 1.400000e-01
-1.100000e+01 1.000000e+00 1.000000e+00 1.400000e+00 1.600000e-01 1.200000e-01
-1.300000e+01 1.000000e+00 1.000000e+00 1.280000e+00 1.300000e-01 1.100000e-01
-1.500000e+01 1.000000e+00 1.000000e+00 1.122000e+00 1.170000e-01 9.700000e-02
-1.700000e+01 1.000000e+00 1.000000e+00 9.990000e-01 9.300000e-02 9.000000e-02
-1.900000e+01 1.000000e+00 1.000000e+00 8.100000e-01 7.900000e-02 7.500000e-02
-2.250000e+01 2.500000e+00 2.500000e+00 6.740000e-01 7.500000e-02 5.800000e-02
-2.750000e+01 2.500000e+00 2.500000e+00 4.920000e-01 4.700000e-02 4.300000e-02
-3.250000e+01 2.500000e+00 2.500000e+00 4.050000e-01 4.400000e-02 3.500000e-02
-3.750000e+01 2.500000e+00 2.500000e+00 3.250000e-01 3.500000e-02 3.000000e-02
-4.250000e+01 2.500000e+00 2.500000e+00 2.720000e-01 2.800000e-02 2.600000e-02
-4.750000e+01 2.500000e+00 2.500000e+00 2.820000e-01 2.800000e-02 2.400000e-02
-5.250000e+01 2.500000e+00 2.500000e+00 2.350000e-01 2.600000e-02 2.500000e-02
-5.750000e+01 2.500000e+00 2.500000e+00 1.940000e-01 2.400000e-02 2.100000e-02
-6.250000e+01 2.500000e+00 2.500000e+00 1.500000e-01 1.700000e-02 1.600000e-02
-6.750000e+01 2.500000e+00 2.500000e+00 1.020000e-01 1.300000e-02 1.400000e-02
-7.250000e+01 2.500000e+00 2.500000e+00 8.360000e-02 9.600000e-03 1.110000e-02
-7.750000e+01 2.500000e+00 2.500000e+00 7.480000e-02 9.300000e-03 9.400000e-03
-8.500000e+01 5.000000e+00 5.000000e+00 5.210000e-02 5.900000e-03 6.300000e-03
-9.500000e+01 5.000000e+00 5.000000e+00 3.810000e-02 4.000000e-03 4.700000e-03
-1.050000e+02 5.000000e+00 5.000000e+00 2.390000e-02 2.600000e-03 3.100000e-03
-1.150000e+02 5.000000e+00 5.000000e+00 1.750000e-02 1.900000e-03 2.700000e-03
-1.250000e+02 5.000000e+00 5.000000e+00 1.060000e-02 1.400000e-03 1.700000e-03
-1.350000e+02 5.000000e+00 5.000000e+00 9.000000e-03 1.200000e-03 1.500000e-03
-1.450000e+02 5.000000e+00 5.000000e+00 6.460000e-03 9.000000e-04 1.100000e-03
-1.625000e+02 1.250000e+01 1.250000e+01 3.330000e-03 4.900000e-04 5.600000e-04
-1.875000e+02 1.250000e+01 1.250000e+01 1.950000e-03 2.800000e-04 3.400000e-04
-2.250000e+02 2.500000e+01 2.500000e+01 7.700000e-04 1.300000e-04 1.600000e-04
-3.750000e+02 1.250000e+02 1.250000e+02 1.180000e-04 2.100000e-05 2.500000e-05
+1.000000e+00 1.000000e+00 1.000000e+00 7.270000e-01 9.459387e-02 6.109828e-02
+3.000000e+00 1.000000e+00 1.000000e+00 1.750000e+00 2.334524e-01 1.360147e-01
+5.000000e+00 1.000000e+00 1.000000e+00 2.030000e+00 2.334524e-01 1.552417e-01
+7.000000e+00 1.000000e+00 1.000000e+00 1.880000e+00 2.137756e-01 1.552417e-01
+9.000000e+00 1.000000e+00 1.000000e+00 1.720000e+00 1.923538e-01 1.334166e-01
+1.100000e+01 1.000000e+00 1.000000e+00 1.400000e+00 1.627882e-01 1.236932e-01
+1.300000e+01 1.000000e+00 1.000000e+00 1.280000e+00 1.334166e-01 1.044031e-01
+1.500000e+01 1.000000e+00 1.000000e+00 1.122000e+00 1.169273e-01 9.656604e-02
+1.700000e+01 1.000000e+00 1.000000e+00 9.990000e-01 9.314505e-02 8.928606e-02
+1.900000e+01 1.000000e+00 1.000000e+00 8.100000e-01 7.884795e-02 7.500000e-02
+2.250000e+01 2.500000e+00 2.500000e+00 6.740000e-01 7.496666e-02 5.727128e-02
+2.750000e+01 2.500000e+00 2.500000e+00 4.920000e-01 4.632494e-02 4.244997e-02
+3.250000e+01 2.500000e+00 2.500000e+00 4.050000e-01 4.393177e-02 3.517101e-02
+3.750000e+01 2.500000e+00 2.500000e+00 3.250000e-01 3.517101e-02 2.941088e-02
+4.250000e+01 2.500000e+00 2.500000e+00 2.720000e-01 2.816026e-02 2.529822e-02
+4.750000e+01 2.500000e+00 2.500000e+00 2.820000e-01 2.816026e-02 2.435159e-02
+5.250000e+01 2.500000e+00 2.500000e+00 2.350000e-01 2.596151e-02 2.404163e-02
+5.750000e+01 2.500000e+00 2.500000e+00 1.940000e-01 2.473863e-02 1.992486e-02
+6.250000e+01 2.500000e+00 2.500000e+00 1.500000e-01 1.708801e-02 1.615549e-02
+6.750000e+01 2.500000e+00 2.500000e+00 1.020000e-01 1.300000e-02 1.392839e-02
+7.250000e+01 2.500000e+00 2.500000e+00 8.360000e-02 9.617692e-03 1.108603e-02
+7.750000e+01 2.500000e+00 2.500000e+00 7.480000e-02 9.323090e-03 9.415413e-03
+8.500000e+01 5.000000e+00 5.000000e+00 5.210000e-02 5.980803e-03 6.262587e-03
+9.500000e+01 5.000000e+00 5.000000e+00 3.810000e-02 3.981206e-03 4.623851e-03
+1.050000e+02 5.000000e+00 5.000000e+00 2.390000e-02 2.641969e-03 3.087070e-03
+1.150000e+02 5.000000e+00 5.000000e+00 1.750000e-02 1.941649e-03 2.640076e-03
+1.250000e+02 5.000000e+00 5.000000e+00 1.060000e-02 1.421267e-03 1.749286e-03
+1.350000e+02 5.000000e+00 5.000000e+00 9.000000e-03 1.131371e-03 1.442221e-03
+1.450000e+02 5.000000e+00 5.000000e+00 6.460000e-03 8.980535e-04 1.096221e-03
+1.625000e+02 1.250000e+01 1.250000e+01 3.330000e-03 4.981967e-04 5.630275e-04
+1.875000e+02 1.250000e+01 1.250000e+01 1.950000e-03 2.860070e-04 3.397058e-04
+2.250000e+02 2.500000e+01 2.500000e+01 7.700000e-04 1.280625e-04 1.562050e-04
+3.750000e+02 1.250000e+02 1.250000e+02 1.180000e-04 2.080865e-05 2.475884e-05
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2012_I1199269/d03-x01-y01
IsRef: 1
Path: /REF/ATLAS_2012_I1199269/d03-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.62320.v1/t3
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-2.500000e-01 2.500000e-01 2.500000e-01 2.680000e+00 5.200000e-01 2.400000e-01
-7.500000e-01 2.500000e-01 2.500000e-01 3.100000e+00 3.700000e-01 2.600000e-01
-1.250000e+00 2.500000e-01 2.500000e-01 3.460000e+00 3.700000e-01 3.100000e-01
-1.625000e+00 1.250000e-01 1.250000e-01 4.510000e+00 4.400000e-01 3.900000e-01
-1.875000e+00 1.250000e-01 1.250000e-01 6.260000e+00 6.100000e-01 5.500000e-01
-2.125000e+00 1.250000e-01 1.250000e-01 8.930000e+00 1.040000e+00 7.600000e-01
-2.300000e+00 5.000000e-02 5.000000e-02 1.160000e+01 1.200000e+00 1.000000e+00
-2.400000e+00 5.000000e-02 5.000000e-02 1.390000e+01 1.400000e+00 1.100000e+00
-2.500000e+00 5.000000e-02 5.000000e-02 1.740000e+01 1.700000e+00 1.400000e+00
-2.600000e+00 5.000000e-02 5.000000e-02 2.180000e+01 2.300000e+00 2.000000e+00
-2.675000e+00 2.500000e-02 2.500000e-02 2.670000e+01 2.500000e+00 2.300000e+00
-2.725000e+00 2.500000e-02 2.500000e-02 2.960000e+01 3.500000e+00 3.300000e+00
-2.775000e+00 2.500000e-02 2.500000e-02 3.580000e+01 3.300000e+00 3.000000e+00
-2.825000e+00 2.500000e-02 2.500000e-02 4.290000e+01 3.900000e+00 3.400000e+00
-2.875000e+00 2.500000e-02 2.500000e-02 4.840000e+01 4.600000e+00 3.900000e+00
-2.925000e+00 2.500000e-02 2.500000e-02 5.740000e+01 4.700000e+00 4.400000e+00
-2.975000e+00 2.500000e-02 2.500000e-02 7.170000e+01 6.100000e+00 5.600000e+00
-3.025000e+00 2.500000e-02 2.500000e-02 8.080000e+01 7.600000e+00 6.300000e+00
-3.075000e+00 2.500000e-02 2.500000e-02 1.005000e+02 8.600000e+00 7.400000e+00
-3.120000e+00 2.000000e-02 2.000000e-02 1.076000e+02 9.800000e+00 8.100000e+00
+2.500000e-01 2.500000e-01 2.500000e-01 2.680000e+00 5.261179e-01 2.340940e-01
+7.500000e-01 2.500000e-01 2.500000e-01 3.100000e+00 3.710795e-01 2.657066e-01
+1.250000e+00 2.500000e-01 2.500000e-01 3.460000e+00 3.710795e-01 3.036445e-01
+1.625000e+00 1.250000e-01 1.250000e-01 4.510000e+00 4.459821e-01 3.900000e-01
+1.875000e+00 1.250000e-01 1.250000e-01 6.260000e+00 6.140033e-01 5.565968e-01
+2.125000e+00 1.250000e-01 1.250000e-01 8.930000e+00 1.039423e+00 7.569016e-01
+2.300000e+00 5.000000e-02 5.000000e-02 1.160000e+01 1.170470e+00 9.848858e-01
+2.400000e+00 5.000000e-02 5.000000e-02 1.390000e+01 1.360147e+00 1.170470e+00
+2.500000e+00 5.000000e-02 5.000000e-02 1.740000e+01 1.649242e+00 1.360147e+00
+2.600000e+00 5.000000e-02 5.000000e-02 2.180000e+01 2.256103e+00 2.061553e+00
+2.675000e+00 2.500000e-02 2.500000e-02 2.670000e+01 2.529822e+00 2.247221e+00
+2.725000e+00 2.500000e-02 2.500000e-02 2.960000e+01 3.492850e+00 3.298485e+00
+2.775000e+00 2.500000e-02 2.500000e-02 3.580000e+01 3.228002e+00 2.941088e+00
+2.825000e+00 2.500000e-02 2.500000e-02 4.290000e+01 3.929377e+00 3.448188e+00
+2.875000e+00 2.500000e-02 2.500000e-02 4.840000e+01 4.535416e+00 3.956008e+00
+2.925000e+00 2.500000e-02 2.500000e-02 5.740000e+01 4.753946e+00 4.464303e+00
+2.975000e+00 2.500000e-02 2.500000e-02 7.170000e+01 6.041523e+00 5.554278e+00
+3.025000e+00 2.500000e-02 2.500000e-02 8.080000e+01 7.531268e+00 6.258594e+00
+3.075000e+00 2.500000e-02 2.500000e-02 1.005000e+02 8.649277e+00 7.473286e+00
+3.120000e+00 2.000000e-02 2.000000e-02 1.076000e+02 9.767292e+00 8.102469e+00
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2012_I1199269/d04-x01-y01
IsRef: 1
Path: /REF/ATLAS_2012_I1199269/d04-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.62320.v1/t4
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
--9.600000e-01 4.000000e-02 4.000000e-02 1.100000e+01 1.700000e+00 1.300000e+00
--8.800000e-01 4.000000e-02 4.000000e-02 1.450000e+01 1.600000e+00 1.200000e+00
--8.000000e-01 4.000000e-02 4.000000e-02 1.650000e+01 1.600000e+00 1.400000e+00
--7.200000e-01 4.000000e-02 4.000000e-02 1.880000e+01 1.700000e+00 1.500000e+00
--6.400000e-01 4.000000e-02 4.000000e-02 2.180000e+01 1.900000e+00 1.600000e+00
--5.600000e-01 4.000000e-02 4.000000e-02 2.270000e+01 2.100000e+00 1.900000e+00
--4.800000e-01 4.000000e-02 4.000000e-02 2.390000e+01 2.100000e+00 1.900000e+00
--4.000000e-01 4.000000e-02 4.000000e-02 2.460000e+01 2.100000e+00 1.900000e+00
--3.200000e-01 4.000000e-02 4.000000e-02 2.520000e+01 2.300000e+00 1.900000e+00
--2.400000e-01 4.000000e-02 4.000000e-02 2.830000e+01 2.700000e+00 2.200000e+00
--1.600000e-01 4.000000e-02 4.000000e-02 2.810000e+01 2.600000e+00 2.100000e+00
--8.000000e-02 4.000000e-02 4.000000e-02 2.960000e+01 2.800000e+00 2.400000e+00
-0.000000e+00 4.000000e-02 4.000000e-02 3.140000e+01 3.000000e+00 2.600000e+00
-8.000000e-02 4.000000e-02 4.000000e-02 2.900000e+01 2.600000e+00 2.500000e+00
-1.600000e-01 4.000000e-02 4.000000e-02 2.780000e+01 3.100000e+00 2.200000e+00
-2.400000e-01 4.000000e-02 4.000000e-02 2.620000e+01 2.300000e+00 2.000000e+00
-3.200000e-01 4.000000e-02 4.000000e-02 2.570000e+01 2.200000e+00 2.100000e+00
-4.000000e-01 4.000000e-02 4.000000e-02 2.500000e+01 2.000000e+00 2.000000e+00
-4.800000e-01 4.000000e-02 4.000000e-02 2.490000e+01 2.100000e+00 1.800000e+00
-5.600000e-01 4.000000e-02 4.000000e-02 2.270000e+01 2.200000e+00 2.000000e+00
-6.400000e-01 4.000000e-02 4.000000e-02 2.130000e+01 1.900000e+00 1.700000e+00
-7.200000e-01 4.000000e-02 4.000000e-02 1.950000e+01 1.900000e+00 1.500000e+00
-8.000000e-01 4.000000e-02 4.000000e-02 1.690000e+01 1.700000e+00 1.500000e+00
-8.800000e-01 4.000000e-02 4.000000e-02 1.390000e+01 1.800000e+00 1.200000e+00
-9.600000e-01 4.000000e-02 4.000000e-02 1.170000e+01 1.400000e+00 1.100000e+00
+-9.600000e-01 4.000000e-02 4.000000e-02 1.100000e+01 1.649242e+00 1.264911e+00
+-8.800000e-01 4.000000e-02 4.000000e-02 1.450000e+01 1.649242e+00 1.170470e+00
+-8.000000e-01 4.000000e-02 4.000000e-02 1.650000e+01 1.676305e+00 1.392839e+00
+-7.200000e-01 4.000000e-02 4.000000e-02 1.880000e+01 1.676305e+00 1.486607e+00
+-6.400000e-01 4.000000e-02 4.000000e-02 2.180000e+01 1.992486e+00 1.615549e+00
+-5.600000e-01 4.000000e-02 4.000000e-02 2.270000e+01 2.088061e+00 1.897367e+00
+-4.800000e-01 4.000000e-02 4.000000e-02 2.390000e+01 2.184033e+00 1.897367e+00
+-4.000000e-01 4.000000e-02 4.000000e-02 2.460000e+01 2.088061e+00 1.897367e+00
+-3.200000e-01 4.000000e-02 4.000000e-02 2.520000e+01 2.280351e+00 1.897367e+00
+-2.400000e-01 4.000000e-02 4.000000e-02 2.830000e+01 2.668333e+00 2.184033e+00
+-1.600000e-01 4.000000e-02 4.000000e-02 2.810000e+01 2.692582e+00 2.118962e+00
+-8.000000e-02 4.000000e-02 4.000000e-02 2.960000e+01 2.789265e+00 2.404163e+00
+0.000000e+00 4.000000e-02 4.000000e-02 3.140000e+01 2.983287e+00 2.596151e+00
+8.000000e-02 4.000000e-02 4.000000e-02 2.900000e+01 2.596151e+00 2.500000e+00
+1.600000e-01 4.000000e-02 4.000000e-02 2.780000e+01 3.080584e+00 2.213594e+00
+2.400000e-01 4.000000e-02 4.000000e-02 2.620000e+01 2.376973e+00 1.897367e+00
+3.200000e-01 4.000000e-02 4.000000e-02 2.570000e+01 2.184033e+00 2.088061e+00
+4.000000e-01 4.000000e-02 4.000000e-02 2.500000e+01 1.992486e+00 1.992486e+00
+4.800000e-01 4.000000e-02 4.000000e-02 2.490000e+01 2.088061e+00 1.802776e+00
+5.600000e-01 4.000000e-02 4.000000e-02 2.270000e+01 2.280351e+00 1.992486e+00
+6.400000e-01 4.000000e-02 4.000000e-02 2.130000e+01 1.897367e+00 1.708801e+00
+7.200000e-01 4.000000e-02 4.000000e-02 1.950000e+01 1.868154e+00 1.486607e+00
+8.000000e-01 4.000000e-02 4.000000e-02 1.690000e+01 1.676305e+00 1.486607e+00
+8.800000e-01 4.000000e-02 4.000000e-02 1.390000e+01 1.746425e+00 1.170470e+00
+9.600000e-01 4.000000e-02 4.000000e-02 1.170000e+01 1.456022e+00 1.077033e+00
END YODA_SCATTER2D_V2
diff --git a/analyses/pluginATLAS/ATLAS_2013_I1217867.yoda b/analyses/pluginATLAS/ATLAS_2013_I1217867.yoda
--- a/analyses/pluginATLAS/ATLAS_2013_I1217867.yoda
+++ b/analyses/pluginATLAS/ATLAS_2013_I1217867.yoda
@@ -1,389 +1,376 @@
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d01-x01-y01
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d01-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t1
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.062500e+00 6.250000e-02 6.250000e-02 1.245240e-02 8.502279e-03 7.534729e-03
-1.207500e+00 8.250000e-02 8.250000e-02 1.829030e-02 9.114659e-03 7.600499e-03
-1.420000e+00 1.300000e-01 1.300000e-01 2.366540e-02 1.037010e-02 6.880469e-03
-1.725000e+00 1.750000e-01 1.750000e-01 2.686640e-02 1.089360e-02 6.320089e-03
-2.175000e+00 2.750000e-01 2.750000e-01 2.657420e-02 9.055819e-03 5.089429e-03
-2.775000e+00 3.250000e-01 3.250000e-01 2.934420e-02 9.073849e-03 5.271819e-03
-3.550000e+00 4.500000e-01 4.500000e-01 3.657330e-02 1.015590e-02 7.108549e-03
-4.500000e+00 5.000000e-01 5.000000e-01 4.812879e-02 1.115800e-02 9.670149e-03
-5.650000e+00 6.500000e-01 6.500000e-01 5.636059e-02 1.012280e-02 9.610959e-03
-7.150000e+00 8.500000e-01 8.500000e-01 6.105149e-02 7.085779e-03 7.251639e-03
-9.000000e+00 1.000000e+00 1.000000e+00 5.780939e-02 2.095130e-03 2.610120e-03
-1.125000e+01 1.250000e+00 1.250000e+00 4.771519e-02 2.226900e-03 3.004770e-03
-1.425000e+01 1.750000e+00 1.750000e+00 3.379770e-02 4.065539e-03 4.620269e-03
-1.800000e+01 2.000000e+00 2.000000e+00 2.177190e-02 3.354500e-03 3.449320e-03
-2.250000e+01 2.500000e+00 2.500000e+00 1.409200e-02 2.266280e-03 2.264990e-03
-2.825000e+01 3.250000e+00 3.250000e+00 8.942029e-03 8.828809e-04 1.017260e-03
-3.575000e+01 4.250000e+00 4.250000e+00 5.351159e-03 3.252110e-04 5.101039e-04
-4.500000e+01 5.000000e+00 5.000000e+00 2.776920e-03 2.579820e-04 3.029420e-04
-5.650000e+01 6.500000e+00 6.500000e+00 1.448290e-03 1.471350e-04 1.731590e-04
-7.150000e+01 8.500000e+00 8.500000e+00 6.920449e-04 9.315159e-05 1.040230e-04
-9.000000e+01 1.000000e+01 1.000000e+01 3.566340e-04 4.265289e-05 5.420499e-05
-1.125000e+02 1.250000e+01 1.250000e+01 1.682450e-04 1.785110e-05 1.785110e-05
-1.425000e+02 1.750000e+01 1.750000e+01 6.064919e-05 7.449719e-06 7.449719e-06
-1.850000e+02 2.500000e+01 2.500000e+01 2.845440e-05 4.874079e-06 4.874079e-06
-2.475000e+02 3.750000e+01 3.750000e+01 5.050229e-06 1.206510e-06 1.206510e-06
-3.675000e+02 8.250000e+01 8.250000e+01 6.039099e-07 3.665330e-07 3.665330e-07
+1.062500e+00 6.250000e-02 6.250000e-02 1.245000e-02 8.500000e-03 7.530000e-03
+1.207500e+00 8.250000e-02 8.250000e-02 1.829000e-02 9.110000e-03 7.600000e-03
+1.420000e+00 1.300000e-01 1.300000e-01 2.367000e-02 1.037000e-02 6.880000e-03
+1.725000e+00 1.750000e-01 1.750000e-01 2.687000e-02 1.089000e-02 6.320000e-03
+2.175000e+00 2.750000e-01 2.750000e-01 2.657000e-02 9.060000e-03 5.090000e-03
+2.775000e+00 3.250000e-01 3.250000e-01 2.934000e-02 9.070000e-03 5.270000e-03
+3.550000e+00 4.500000e-01 4.500000e-01 3.657000e-02 1.016000e-02 7.110000e-03
+4.500000e+00 5.000000e-01 5.000000e-01 4.813000e-02 1.116000e-02 9.670000e-03
+5.650000e+00 6.500000e-01 6.500000e-01 5.636000e-02 1.012000e-02 9.610000e-03
+7.150000e+00 8.500000e-01 8.500000e-01 6.105000e-02 7.090000e-03 7.250000e-03
+9.000000e+00 1.000000e+00 1.000000e+00 5.781000e-02 2.100000e-03 2.610000e-03
+1.125000e+01 1.250000e+00 1.250000e+00 4.772000e-02 2.230000e-03 3.000000e-03
+1.425000e+01 1.750000e+00 1.750000e+00 3.380000e-02 4.070000e-03 4.620000e-03
+1.800000e+01 2.000000e+00 2.000000e+00 2.177000e-02 3.350000e-03 3.450000e-03
+2.250000e+01 2.500000e+00 2.500000e+00 1.409000e-02 2.270000e-03 2.260000e-03
+2.825000e+01 3.250000e+00 3.250000e+00 8.942000e-03 8.830000e-04 1.017000e-03
+3.575000e+01 4.250000e+00 4.250000e+00 5.351000e-03 3.250000e-04 5.100000e-04
+4.500000e+01 5.000000e+00 5.000000e+00 2.777000e-03 2.580000e-04 3.030000e-04
+5.650000e+01 6.500000e+00 6.500000e+00 1.448000e-03 1.470000e-04 1.730000e-04
+7.150000e+01 8.500000e+00 8.500000e+00 6.920000e-04 9.320000e-05 1.040000e-04
+9.000000e+01 1.000000e+01 1.000000e+01 3.566000e-04 4.270000e-05 5.420000e-05
+1.125000e+02 1.250000e+01 1.250000e+01 1.682000e-04 1.790000e-05 1.790000e-05
+1.425000e+02 1.750000e+01 1.750000e+01 6.065000e-05 7.450000e-06 7.450000e-06
+1.850000e+02 2.500000e+01 2.500000e+01 2.845000e-05 4.870000e-06 4.870000e-06
+2.475000e+02 3.750000e+01 3.750000e+01 5.050000e-06 1.207000e-06 1.207000e-06
+3.675000e+02 8.250000e+01 8.250000e+01 6.039000e-07 3.665000e-07 3.665000e-07
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d01-x01-y02
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d01-x01-y02
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t1
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.062500e+00 6.250000e-02 6.250000e-02 1.304210e-02 6.443192e-03 5.656761e-03
-1.207500e+00 8.250000e-02 8.250000e-02 1.921676e-02 9.462968e-03 7.227965e-03
-1.420000e+00 1.300000e-01 1.300000e-01 2.510602e-02 9.681302e-03 8.876008e-03
-1.725000e+00 1.750000e-01 1.750000e-01 2.947071e-02 1.135575e-02 9.517356e-03
-2.175000e+00 2.750000e-01 2.750000e-01 2.965971e-02 1.058323e-02 8.661807e-03
-2.775000e+00 3.250000e-01 3.250000e-01 3.069448e-02 8.825043e-03 6.930989e-03
-3.550000e+00 4.500000e-01 4.500000e-01 3.682154e-02 8.923422e-03 7.831658e-03
-4.500000e+00 5.000000e-01 5.000000e-01 4.534626e-02 9.782740e-03 8.889318e-03
-5.650000e+00 6.500000e-01 6.500000e-01 5.665392e-02 1.030930e-02 9.799947e-03
-7.150000e+00 8.500000e-01 8.500000e-01 6.183488e-02 7.185941e-03 7.632697e-03
-9.000000e+00 1.000000e+00 1.000000e+00 5.960474e-02 2.029741e-03 2.975858e-03
-1.125000e+01 1.250000e+00 1.250000e+00 4.864249e-02 2.140994e-03 3.122143e-03
-1.425000e+01 1.750000e+00 1.750000e+00 3.385524e-02 4.535026e-03 4.726595e-03
-1.800000e+01 2.000000e+00 2.000000e+00 2.133692e-02 3.950488e-03 3.798414e-03
-2.250000e+01 2.500000e+00 2.500000e+00 1.318838e-02 2.314154e-03 2.189446e-03
-2.825000e+01 3.250000e+00 3.250000e+00 8.164468e-03 1.054865e-03 1.086108e-03
-3.575000e+01 4.250000e+00 4.250000e+00 5.122969e-03 4.389834e-04 4.788102e-04
-4.500000e+01 5.000000e+00 5.000000e+00 2.753354e-03 3.569336e-04 3.369446e-04
-5.650000e+01 6.500000e+00 6.500000e+00 1.464318e-03 1.742037e-04 1.692034e-04
-7.150000e+01 8.500000e+00 8.500000e+00 8.050648e-04 8.750426e-05 9.560618e-05
-9.000000e+01 1.000000e+01 1.000000e+01 4.002018e-04 5.603830e-05 5.206381e-05
-1.125000e+02 1.250000e+01 1.250000e+01 1.696280e-04 1.186594e-05 1.282100e-05
-1.425000e+02 1.750000e+01 1.750000e+01 7.144572e-05 6.010838e-06 6.349256e-06
-1.850000e+02 2.500000e+01 2.500000e+01 3.193009e-05 4.218877e-06 4.316765e-06
-2.475000e+02 3.750000e+01 3.750000e+01 8.382875e-06 1.522769e-06 1.541559e-06
-3.675000e+02 8.250000e+01 8.250000e+01 2.412733e-06 8.475573e-07 8.503668e-07
+1.062500e+00 6.250000e-02 6.250000e-02 1.304000e-02 6.440000e-03 5.660000e-03
+1.207500e+00 8.250000e-02 8.250000e-02 1.922000e-02 9.460000e-03 7.230000e-03
+1.420000e+00 1.300000e-01 1.300000e-01 2.511000e-02 9.680000e-03 8.880000e-03
+1.725000e+00 1.750000e-01 1.750000e-01 2.947000e-02 1.136000e-02 9.520000e-03
+2.175000e+00 2.750000e-01 2.750000e-01 2.966000e-02 1.058000e-02 8.660000e-03
+2.775000e+00 3.250000e-01 3.250000e-01 3.069000e-02 8.830000e-03 6.930000e-03
+3.550000e+00 4.500000e-01 4.500000e-01 3.682000e-02 8.920000e-03 7.830000e-03
+4.500000e+00 5.000000e-01 5.000000e-01 4.535000e-02 9.780000e-03 8.890000e-03
+5.650000e+00 6.500000e-01 6.500000e-01 5.665000e-02 1.031000e-02 9.800000e-03
+7.150000e+00 8.500000e-01 8.500000e-01 6.183000e-02 7.190000e-03 7.630000e-03
+9.000000e+00 1.000000e+00 1.000000e+00 5.960000e-02 2.030000e-03 2.980000e-03
+1.125000e+01 1.250000e+00 1.250000e+00 4.864000e-02 2.140000e-03 3.120000e-03
+1.425000e+01 1.750000e+00 1.750000e+00 3.386000e-02 4.540000e-03 4.730000e-03
+1.800000e+01 2.000000e+00 2.000000e+00 2.134000e-02 3.950000e-03 3.800000e-03
+2.250000e+01 2.500000e+00 2.500000e+00 1.319000e-02 2.310000e-03 2.190000e-03
+2.825000e+01 3.250000e+00 3.250000e+00 8.164000e-03 1.055000e-03 1.086000e-03
+3.575000e+01 4.250000e+00 4.250000e+00 5.123000e-03 4.390000e-04 4.790000e-04
+4.500000e+01 5.000000e+00 5.000000e+00 2.753000e-03 3.570000e-04 3.370000e-04
+5.650000e+01 6.500000e+00 6.500000e+00 1.464000e-03 1.740000e-04 1.690000e-04
+7.150000e+01 8.500000e+00 8.500000e+00 8.051000e-04 8.750000e-05 9.560000e-05
+9.000000e+01 1.000000e+01 1.000000e+01 4.002000e-04 5.600000e-05 5.210000e-05
+1.125000e+02 1.250000e+01 1.250000e+01 1.696000e-04 1.190000e-05 1.280000e-05
+1.425000e+02 1.750000e+01 1.750000e+01 7.145000e-05 6.010000e-06 6.350000e-06
+1.850000e+02 2.500000e+01 2.500000e+01 3.193000e-05 4.220000e-06 4.320000e-06
+2.475000e+02 3.750000e+01 3.750000e+01 8.383000e-06 1.523000e-06 1.542000e-06
+3.675000e+02 8.250000e+01 8.250000e+01 2.413000e-06 8.480000e-07 8.500000e-07
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d02-x01-y01
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d02-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t2
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.062500e+00 6.250000e-02 6.250000e-02 3.215839e-02 1.801950e-02 1.083770e-02
-1.207500e+00 8.250000e-02 8.250000e-02 4.159439e-02 1.950000e-02 1.120020e-02
-1.420000e+00 1.300000e-01 1.300000e-01 4.905109e-02 1.938500e-02 1.275210e-02
-1.725000e+00 1.750000e-01 1.750000e-01 5.200919e-02 1.760520e-02 1.158500e-02
-2.175000e+00 2.750000e-01 2.750000e-01 5.454169e-02 1.527170e-02 8.724719e-03
-2.775000e+00 3.250000e-01 3.250000e-01 6.406019e-02 1.657920e-02 9.974798e-03
-3.550000e+00 4.500000e-01 4.500000e-01 7.811479e-02 1.667720e-02 1.309870e-02
-4.500000e+00 5.000000e-01 5.000000e-01 8.965498e-02 1.468240e-02 1.423520e-02
-5.650000e+00 6.500000e-01 6.500000e-01 9.262598e-02 9.533238e-03 1.044640e-02
-7.150000e+00 8.500000e-01 8.500000e-01 8.712149e-02 3.997279e-03 3.997159e-03
-9.000000e+00 1.000000e+00 1.000000e+00 6.859629e-02 3.939599e-03 6.493479e-03
-1.125000e+01 1.250000e+00 1.250000e+00 4.467879e-02 6.626929e-03 8.061869e-03
-1.425000e+01 1.750000e+00 1.750000e+00 2.403910e-02 4.991399e-03 5.711339e-03
-1.800000e+01 2.000000e+00 2.000000e+00 1.194310e-02 2.975529e-03 2.972899e-03
-2.250000e+01 2.500000e+00 2.500000e+00 6.201639e-03 1.514700e-03 1.595280e-03
-2.825000e+01 3.250000e+00 3.250000e+00 3.107449e-03 4.938859e-04 7.560649e-04
-3.575000e+01 4.250000e+00 4.250000e+00 1.292120e-03 2.621300e-04 2.594780e-04
-4.500000e+01 5.000000e+00 5.000000e+00 6.672749e-04 8.277219e-05 9.277018e-05
-5.650000e+01 6.500000e+00 6.500000e+00 3.039599e-04 4.604729e-05 4.650189e-05
-7.150000e+01 8.500000e+00 8.500000e+00 1.301700e-04 2.856140e-05 3.281489e-05
-9.000000e+01 1.000000e+01 1.000000e+01 5.626289e-05 9.856978e-06 9.856978e-06
-1.125000e+02 1.250000e+01 1.250000e+01 2.774080e-05 7.260239e-06 7.260239e-06
-1.425000e+02 1.750000e+01 1.750000e+01 3.077779e-06 2.710700e-06 2.710700e-06
-1.925000e+02 3.250000e+01 3.250000e+01 2.699160e-06 1.100730e-06 1.100730e-06
-2.875000e+02 6.250000e+01 6.250000e+01 9.399338e-07 3.978989e-07 3.978989e-07
+1.062500e+00 6.250000e-02 6.250000e-02 3.216000e-02 1.802000e-02 1.084000e-02
+1.207500e+00 8.250000e-02 8.250000e-02 4.159000e-02 1.950000e-02 1.120000e-02
+1.420000e+00 1.300000e-01 1.300000e-01 4.905000e-02 1.938000e-02 1.275000e-02
+1.725000e+00 1.750000e-01 1.750000e-01 5.201000e-02 1.761000e-02 1.158000e-02
+2.175000e+00 2.750000e-01 2.750000e-01 5.454000e-02 1.527000e-02 8.720000e-03
+2.775000e+00 3.250000e-01 3.250000e-01 6.406000e-02 1.658000e-02 9.970000e-03
+3.550000e+00 4.500000e-01 4.500000e-01 7.811000e-02 1.668000e-02 1.310000e-02
+4.500000e+00 5.000000e-01 5.000000e-01 8.965000e-02 1.468000e-02 1.424000e-02
+5.650000e+00 6.500000e-01 6.500000e-01 9.263000e-02 9.530000e-03 1.045000e-02
+7.150000e+00 8.500000e-01 8.500000e-01 8.712000e-02 4.000000e-03 4.000000e-03
+9.000000e+00 1.000000e+00 1.000000e+00 6.860000e-02 3.940000e-03 6.490000e-03
+1.125000e+01 1.250000e+00 1.250000e+00 4.468000e-02 6.630000e-03 8.060000e-03
+1.425000e+01 1.750000e+00 1.750000e+00 2.404000e-02 4.990000e-03 5.710000e-03
+1.800000e+01 2.000000e+00 2.000000e+00 1.194000e-02 2.980000e-03 2.970000e-03
+2.250000e+01 2.500000e+00 2.500000e+00 6.202000e-03 1.515000e-03 1.595000e-03
+2.825000e+01 3.250000e+00 3.250000e+00 3.107000e-03 4.940000e-04 7.560000e-04
+3.575000e+01 4.250000e+00 4.250000e+00 1.292000e-03 2.620000e-04 2.590000e-04
+4.500000e+01 5.000000e+00 5.000000e+00 6.673000e-04 8.280000e-05 9.280000e-05
+5.650000e+01 6.500000e+00 6.500000e+00 3.040000e-04 4.600000e-05 4.650000e-05
+7.150000e+01 8.500000e+00 8.500000e+00 1.302000e-04 2.860000e-05 3.280000e-05
+9.000000e+01 1.000000e+01 1.000000e+01 5.626000e-05 9.860000e-06 9.860000e-06
+1.125000e+02 1.250000e+01 1.250000e+01 2.774000e-05 7.260000e-06 7.260000e-06
+1.425000e+02 1.750000e+01 1.750000e+01 3.078000e-06 2.711000e-06 2.711000e-06
+1.925000e+02 3.250000e+01 3.250000e+01 2.699000e-06 1.101000e-06 1.101000e-06
+2.875000e+02 6.250000e+01 6.250000e+01 9.399000e-07 3.979000e-07 3.979000e-07
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d02-x01-y02
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d02-x01-y02
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t2
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.062500e+00 6.250000e-02 6.250000e-02 3.319444e-02 2.055072e-02 1.256865e-02
-1.207500e+00 8.250000e-02 8.250000e-02 4.202901e-02 2.023696e-02 1.457031e-02
-1.420000e+00 1.300000e-01 1.300000e-01 4.821145e-02 2.030630e-02 1.628639e-02
-1.725000e+00 1.750000e-01 1.750000e-01 5.179563e-02 2.148091e-02 1.647919e-02
-2.175000e+00 2.750000e-01 2.750000e-01 5.599187e-02 1.797304e-02 1.511827e-02
-2.775000e+00 3.250000e-01 3.250000e-01 6.314702e-02 1.644988e-02 1.393468e-02
-3.550000e+00 4.500000e-01 4.500000e-01 7.669611e-02 1.650313e-02 1.478243e-02
-4.500000e+00 5.000000e-01 5.000000e-01 9.093470e-02 1.496001e-02 1.458403e-02
-5.650000e+00 6.500000e-01 6.500000e-01 9.393625e-02 9.870577e-03 1.107412e-02
-7.150000e+00 8.500000e-01 8.500000e-01 8.875708e-02 4.785803e-03 4.785853e-03
-9.000000e+00 1.000000e+00 1.000000e+00 6.996758e-02 5.023643e-03 7.500671e-03
-1.125000e+01 1.250000e+00 1.250000e+00 4.300359e-02 7.761731e-03 8.435095e-03
-1.425000e+01 1.750000e+00 1.750000e+00 2.271986e-02 5.717459e-03 5.489895e-03
-1.800000e+01 2.000000e+00 2.000000e+00 1.104953e-02 2.900730e-03 2.710828e-03
-2.250000e+01 2.500000e+00 2.500000e+00 6.177014e-03 1.292693e-03 1.289538e-03
-2.825000e+01 3.250000e+00 3.250000e+00 3.219904e-03 5.848176e-04 5.771357e-04
-3.575000e+01 4.250000e+00 4.250000e+00 1.472582e-03 2.714357e-04 2.721029e-04
-4.500000e+01 5.000000e+00 5.000000e+00 7.374818e-04 1.237954e-04 1.214361e-04
-5.650000e+01 6.500000e+00 6.500000e+00 3.300152e-04 6.229802e-05 5.531721e-05
-7.150000e+01 8.500000e+00 8.500000e+00 1.594968e-04 2.980268e-05 2.704405e-05
-9.000000e+01 1.000000e+01 1.000000e+01 8.096368e-05 1.314429e-05 1.761626e-05
-1.125000e+02 1.250000e+01 1.250000e+01 3.851117e-05 1.002999e-05 1.147712e-05
-1.425000e+02 1.750000e+01 1.750000e+01 1.696629e-05 4.039187e-06 4.728189e-06
-1.925000e+02 3.250000e+01 3.250000e+01 5.233461e-06 1.622267e-06 1.790670e-06
-2.875000e+02 6.250000e+01 6.250000e+01 4.828103e-07 3.229095e-07 3.303981e-07
+1.062500e+00 6.250000e-02 6.250000e-02 3.319000e-02 2.055000e-02 1.257000e-02
+1.207500e+00 8.250000e-02 8.250000e-02 4.203000e-02 2.024000e-02 1.457000e-02
+1.420000e+00 1.300000e-01 1.300000e-01 4.821000e-02 2.031000e-02 1.629000e-02
+1.725000e+00 1.750000e-01 1.750000e-01 5.180000e-02 2.148000e-02 1.648000e-02
+2.175000e+00 2.750000e-01 2.750000e-01 5.599000e-02 1.797000e-02 1.512000e-02
+2.775000e+00 3.250000e-01 3.250000e-01 6.315000e-02 1.645000e-02 1.393000e-02
+3.550000e+00 4.500000e-01 4.500000e-01 7.670000e-02 1.650000e-02 1.478000e-02
+4.500000e+00 5.000000e-01 5.000000e-01 9.093000e-02 1.496000e-02 1.458000e-02
+5.650000e+00 6.500000e-01 6.500000e-01 9.394000e-02 9.870000e-03 1.107000e-02
+7.150000e+00 8.500000e-01 8.500000e-01 8.876000e-02 4.790000e-03 4.790000e-03
+9.000000e+00 1.000000e+00 1.000000e+00 6.997000e-02 5.020000e-03 7.500000e-03
+1.125000e+01 1.250000e+00 1.250000e+00 4.300000e-02 7.760000e-03 8.440000e-03
+1.425000e+01 1.750000e+00 1.750000e+00 2.272000e-02 5.720000e-03 5.490000e-03
+1.800000e+01 2.000000e+00 2.000000e+00 1.105000e-02 2.900000e-03 2.710000e-03
+2.250000e+01 2.500000e+00 2.500000e+00 6.177000e-03 1.293000e-03 1.290000e-03
+2.825000e+01 3.250000e+00 3.250000e+00 3.220000e-03 5.850000e-04 5.770000e-04
+3.575000e+01 4.250000e+00 4.250000e+00 1.473000e-03 2.710000e-04 2.720000e-04
+4.500000e+01 5.000000e+00 5.000000e+00 7.375000e-04 1.238000e-04 1.214000e-04
+5.650000e+01 6.500000e+00 6.500000e+00 3.300000e-04 6.230000e-05 5.530000e-05
+7.150000e+01 8.500000e+00 8.500000e+00 1.595000e-04 2.980000e-05 2.700000e-05
+9.000000e+01 1.000000e+01 1.000000e+01 8.096000e-05 1.314000e-05 1.762000e-05
+1.125000e+02 1.250000e+01 1.250000e+01 3.851000e-05 1.003000e-05 1.148000e-05
+1.425000e+02 1.750000e+01 1.750000e+01 1.697000e-05 4.040000e-06 4.730000e-06
+1.925000e+02 3.250000e+01 3.250000e+01 5.233000e-06 1.622000e-06 1.791000e-06
+2.875000e+02 6.250000e+01 6.250000e+01 4.828000e-07 3.229000e-07 3.304000e-07
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d03-x01-y01
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d03-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t3
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.062500e+00 6.250000e-02 6.250000e-02 5.924431e-02 2.576250e-02 1.555340e-02
-1.207500e+00 8.250000e-02 8.250000e-02 6.926121e-02 2.757760e-02 1.796170e-02
-1.420000e+00 1.300000e-01 1.300000e-01 7.356941e-02 2.730340e-02 1.782530e-02
-1.725000e+00 1.750000e-01 1.750000e-01 7.559581e-02 2.230940e-02 1.461360e-02
-2.175000e+00 2.750000e-01 2.750000e-01 8.181781e-02 2.151360e-02 1.274580e-02
-2.775000e+00 3.250000e-01 3.250000e-01 9.684552e-02 2.351450e-02 1.641660e-02
-3.550000e+00 4.500000e-01 4.500000e-01 1.144470e-01 2.151300e-02 2.068120e-02
-4.500000e+00 5.000000e-01 5.000000e-01 1.175770e-01 1.524840e-02 1.646650e-02
-5.650000e+00 6.500000e-01 6.500000e-01 1.137450e-01 7.284911e-03 8.448731e-03
-7.150000e+00 8.500000e-01 8.500000e-01 9.241872e-02 5.188411e-03 8.389241e-03
-9.000000e+00 1.000000e+00 1.000000e+00 6.164351e-02 9.480322e-03 1.206800e-02
-1.125000e+01 1.250000e+00 1.250000e+00 3.273761e-02 8.691531e-03 9.855312e-03
-1.425000e+01 1.750000e+00 1.750000e+00 1.413150e-02 4.993361e-03 5.285201e-03
-1.800000e+01 2.000000e+00 2.000000e+00 5.620791e-03 2.195060e-03 2.219690e-03
-2.250000e+01 2.500000e+00 2.500000e+00 2.514020e-03 8.042461e-04 8.191071e-04
-2.825000e+01 3.250000e+00 3.250000e+00 1.111410e-03 2.679110e-04 2.851700e-04
-3.575000e+01 4.250000e+00 4.250000e+00 3.531051e-04 5.229821e-05 5.229821e-05
-4.500000e+01 5.000000e+00 5.000000e+00 1.141740e-04 2.660340e-05 2.660340e-05
-5.750000e+01 7.500000e+00 7.500000e+00 4.920761e-05 1.322360e-05 1.322360e-05
-8.250000e+01 1.750000e+01 1.750000e+01 6.069921e-06 4.976781e-06 4.976781e-06
-1.500000e+02 5.000000e+01 5.000000e+01 1.082950e-06 6.367441e-07 6.367441e-07
+1.062500e+00 6.250000e-02 6.250000e-02 5.924000e-02 2.576000e-02 1.555000e-02
+1.207500e+00 8.250000e-02 8.250000e-02 6.926000e-02 2.758000e-02 1.796000e-02
+1.420000e+00 1.300000e-01 1.300000e-01 7.357000e-02 2.730000e-02 1.783000e-02
+1.725000e+00 1.750000e-01 1.750000e-01 7.560000e-02 2.231000e-02 1.461000e-02
+2.175000e+00 2.750000e-01 2.750000e-01 8.182000e-02 2.151000e-02 1.275000e-02
+2.775000e+00 3.250000e-01 3.250000e-01 9.685000e-02 2.351000e-02 1.642000e-02
+3.550000e+00 4.500000e-01 4.500000e-01 1.144000e-01 2.150000e-02 2.070000e-02
+4.500000e+00 5.000000e-01 5.000000e-01 1.176000e-01 1.520000e-02 1.650000e-02
+5.650000e+00 6.500000e-01 6.500000e-01 1.137000e-01 7.300000e-03 8.400000e-03
+7.150000e+00 8.500000e-01 8.500000e-01 9.242000e-02 5.190000e-03 8.390000e-03
+9.000000e+00 1.000000e+00 1.000000e+00 6.164000e-02 9.480000e-03 1.207000e-02
+1.125000e+01 1.250000e+00 1.250000e+00 3.274000e-02 8.690000e-03 9.860000e-03
+1.425000e+01 1.750000e+00 1.750000e+00 1.413000e-02 4.990000e-03 5.290000e-03
+1.800000e+01 2.000000e+00 2.000000e+00 5.621000e-03 2.195000e-03 2.220000e-03
+2.250000e+01 2.500000e+00 2.500000e+00 2.514000e-03 8.040000e-04 8.190000e-04
+2.825000e+01 3.250000e+00 3.250000e+00 1.111000e-03 2.680000e-04 2.850000e-04
+3.575000e+01 4.250000e+00 4.250000e+00 3.531000e-04 5.230000e-05 5.230000e-05
+4.500000e+01 5.000000e+00 5.000000e+00 1.142000e-04 2.660000e-05 2.660000e-05
+5.750000e+01 7.500000e+00 7.500000e+00 4.921000e-05 1.322000e-05 1.322000e-05
+8.250000e+01 1.750000e+01 1.750000e+01 6.070000e-06 4.977000e-06 4.977000e-06
+1.500000e+02 5.000000e+01 5.000000e+01 1.083000e-06 6.370000e-07 6.370000e-07
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d03-x01-y02
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d03-x01-y02
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t3
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.062500e+00 6.250000e-02 6.250000e-02 5.807970e-02 2.902309e-02 1.962154e-02
-1.207500e+00 8.250000e-02 8.250000e-02 6.690673e-02 3.088127e-02 2.143614e-02
-1.420000e+00 1.300000e-01 1.300000e-01 7.240704e-02 2.749866e-02 2.067747e-02
-1.725000e+00 1.750000e-01 1.750000e-01 7.461466e-02 2.423500e-02 1.928327e-02
-2.175000e+00 2.750000e-01 2.750000e-01 8.107144e-02 2.185081e-02 1.740561e-02
-2.775000e+00 3.250000e-01 3.250000e-01 9.465220e-02 2.213914e-02 1.757059e-02
-3.550000e+00 4.500000e-01 4.500000e-01 1.139446e-01 2.170582e-02 1.936304e-02
-4.500000e+00 5.000000e-01 5.000000e-01 1.212227e-01 1.469196e-02 1.656224e-02
-5.650000e+00 6.500000e-01 6.500000e-01 1.167459e-01 1.026850e-02 1.153668e-02
-7.150000e+00 8.500000e-01 8.500000e-01 9.553115e-02 6.884653e-03 1.022694e-02
-9.000000e+00 1.000000e+00 1.000000e+00 6.213669e-02 1.038313e-02 1.222727e-02
-1.125000e+01 1.250000e+00 1.250000e+00 3.036048e-02 9.646639e-03 9.913718e-03
-1.425000e+01 1.750000e+00 1.750000e+00 1.245777e-02 4.915393e-03 4.462260e-03
-1.800000e+01 2.000000e+00 2.000000e+00 5.576728e-03 1.828404e-03 1.647723e-03
-2.250000e+01 2.500000e+00 2.500000e+00 2.565094e-03 7.688320e-04 6.897778e-04
-2.825000e+01 3.250000e+00 3.250000e+00 1.067034e-03 3.004907e-04 2.669651e-04
-3.575000e+01 4.250000e+00 4.250000e+00 4.174304e-04 3.017273e-05 3.167849e-05
-4.500000e+01 5.000000e+00 5.000000e+00 1.153288e-04 2.230833e-05 2.246705e-05
-5.750000e+01 7.500000e+00 7.500000e+00 7.183508e-05 1.291375e-05 1.302019e-05
-8.250000e+01 1.750000e+01 1.750000e+01 2.207710e-05 3.480270e-06 3.517502e-06
-1.500000e+02 5.000000e+01 5.000000e+01 3.042149e-06 9.413285e-07 9.439524e-07
+1.062500e+00 6.250000e-02 6.250000e-02 5.808000e-02 2.902000e-02 1.962000e-02
+1.207500e+00 8.250000e-02 8.250000e-02 6.691000e-02 3.088000e-02 2.144000e-02
+1.420000e+00 1.300000e-01 1.300000e-01 7.241000e-02 2.750000e-02 2.068000e-02
+1.725000e+00 1.750000e-01 1.750000e-01 7.461000e-02 2.423000e-02 1.928000e-02
+2.175000e+00 2.750000e-01 2.750000e-01 8.107000e-02 2.185000e-02 1.741000e-02
+2.775000e+00 3.250000e-01 3.250000e-01 9.465000e-02 2.214000e-02 1.757000e-02
+3.550000e+00 4.500000e-01 4.500000e-01 1.139000e-01 2.170000e-02 1.940000e-02
+4.500000e+00 5.000000e-01 5.000000e-01 1.212000e-01 1.470000e-02 1.660000e-02
+5.650000e+00 6.500000e-01 6.500000e-01 1.167000e-01 1.030000e-02 1.150000e-02
+7.150000e+00 8.500000e-01 8.500000e-01 9.553000e-02 6.880000e-03 1.023000e-02
+9.000000e+00 1.000000e+00 1.000000e+00 6.214000e-02 1.038000e-02 1.223000e-02
+1.125000e+01 1.250000e+00 1.250000e+00 3.036000e-02 9.650000e-03 9.910000e-03
+1.425000e+01 1.750000e+00 1.750000e+00 1.246000e-02 4.920000e-03 4.460000e-03
+1.800000e+01 2.000000e+00 2.000000e+00 5.577000e-03 1.828000e-03 1.648000e-03
+2.250000e+01 2.500000e+00 2.500000e+00 2.565000e-03 7.690000e-04 6.900000e-04
+2.825000e+01 3.250000e+00 3.250000e+00 1.067000e-03 3.000000e-04 2.670000e-04
+3.575000e+01 4.250000e+00 4.250000e+00 4.174000e-04 3.020000e-05 3.170000e-05
+4.500000e+01 5.000000e+00 5.000000e+00 1.153000e-04 2.230000e-05 2.250000e-05
+5.750000e+01 7.500000e+00 7.500000e+00 7.184000e-05 1.291000e-05 1.302000e-05
+8.250000e+01 1.750000e+01 1.750000e+01 2.208000e-05 3.480000e-06 3.520000e-06
+1.500000e+02 5.000000e+01 5.000000e+01 3.042000e-06 9.410000e-07 9.440000e-07
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d04-x01-y01
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d04-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t4
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.062500e+00 6.250000e-02 6.250000e-02 8.514195e-02 2.922012e-02 2.398731e-02
-1.207500e+00 8.250000e-02 8.250000e-02 9.071726e-02 3.060672e-02 2.466882e-02
-1.420000e+00 1.300000e-01 1.300000e-01 9.192046e-02 2.752092e-02 2.207951e-02
-1.725000e+00 1.750000e-01 1.750000e-01 9.420106e-02 2.338441e-02 1.840671e-02
-2.175000e+00 2.750000e-01 2.750000e-01 1.079751e-01 2.396571e-02 1.973121e-02
-2.775000e+00 3.250000e-01 3.250000e-01 1.305941e-01 2.592202e-02 2.299401e-02
-3.550000e+00 4.500000e-01 4.500000e-01 1.387011e-01 2.083161e-02 2.035531e-02
-4.500000e+00 5.000000e-01 5.000000e-01 1.383311e-01 1.393181e-02 1.543211e-02
-5.650000e+00 6.500000e-01 6.500000e-01 1.266231e-01 5.499783e-03 5.500443e-03
-7.150000e+00 8.500000e-01 8.500000e-01 8.783395e-02 8.390855e-03 1.229841e-02
-9.000000e+00 1.000000e+00 1.000000e+00 4.958693e-02 1.180461e-02 1.309001e-02
-1.125000e+01 1.250000e+00 1.250000e+00 2.200081e-02 9.170496e-03 8.638315e-03
-1.425000e+01 1.750000e+00 1.750000e+00 7.772325e-03 4.882853e-03 3.958642e-03
-1.800000e+01 2.000000e+00 2.000000e+00 2.185901e-03 1.857141e-03 1.343851e-03
-2.250000e+01 2.500000e+00 2.500000e+00 6.871294e-04 5.829324e-04 4.171993e-04
-2.825000e+01 3.250000e+00 3.250000e+00 2.362831e-04 1.191671e-04 1.003291e-04
-3.575000e+01 4.250000e+00 4.250000e+00 9.059186e-05 2.573532e-05 2.573532e-05
-4.500000e+01 5.000000e+00 5.000000e+00 1.817011e-05 1.309201e-05 1.309201e-05
-6.000000e+01 1.000000e+01 1.000000e+01 4.009792e-06 4.763063e-06 4.763063e-06
-8.500000e+01 1.500000e+01 1.500000e+01 8.491595e-08 6.701654e-07 6.701654e-07
-1.500000e+02 5.000000e+01 5.000000e+01 2.838822e-07 4.937573e-07 4.937573e-07
+1.062500e+00 6.250000e-02 6.250000e-02 8.514000e-02 2.922000e-02 2.399000e-02
+1.207500e+00 8.250000e-02 8.250000e-02 9.072000e-02 3.061000e-02 2.467000e-02
+1.420000e+00 1.300000e-01 1.300000e-01 9.192000e-02 2.752000e-02 2.208000e-02
+1.725000e+00 1.750000e-01 1.750000e-01 9.420000e-02 2.338000e-02 1.841000e-02
+2.175000e+00 2.750000e-01 2.750000e-01 1.080000e-01 2.400000e-02 1.970000e-02
+2.775000e+00 3.250000e-01 3.250000e-01 1.306000e-01 2.590000e-02 2.300000e-02
+3.550000e+00 4.500000e-01 4.500000e-01 1.387000e-01 2.080000e-02 2.040000e-02
+4.500000e+00 5.000000e-01 5.000000e-01 1.383000e-01 1.390000e-02 1.540000e-02
+5.650000e+00 6.500000e-01 6.500000e-01 1.266000e-01 5.500000e-03 5.500000e-03
+7.150000e+00 8.500000e-01 8.500000e-01 8.783000e-02 8.390000e-03 1.230000e-02
+9.000000e+00 1.000000e+00 1.000000e+00 4.959000e-02 1.180000e-02 1.309000e-02
+1.125000e+01 1.250000e+00 1.250000e+00 2.200000e-02 9.170000e-03 8.640000e-03
+1.425000e+01 1.750000e+00 1.750000e+00 7.772000e-03 4.883000e-03 3.959000e-03
+1.800000e+01 2.000000e+00 2.000000e+00 2.186000e-03 1.857000e-03 1.344000e-03
+2.250000e+01 2.500000e+00 2.500000e+00 6.871000e-04 5.829000e-04 4.172000e-04
+2.825000e+01 3.250000e+00 3.250000e+00 2.363000e-04 1.192000e-04 1.003000e-04
+3.575000e+01 4.250000e+00 4.250000e+00 9.059000e-05 2.574000e-05 2.574000e-05
+4.500000e+01 5.000000e+00 5.000000e+00 1.817000e-05 1.309000e-05 1.309000e-05
+6.000000e+01 1.000000e+01 1.000000e+01 4.010000e-06 4.763000e-06 4.763000e-06
+8.500000e+01 1.500000e+01 1.500000e+01 8.492000e-08 6.701700e-07 6.701700e-07
+1.500000e+02 5.000000e+01 5.000000e+01 2.839000e-07 4.938000e-07 4.938000e-07
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d04-x01-y02
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d04-x01-y02
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t4
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.062500e+00 6.250000e-02 6.250000e-02 8.047647e-02 3.501480e-02 2.067441e-02
-1.207500e+00 8.250000e-02 8.250000e-02 8.758388e-02 3.430463e-02 1.933337e-02
-1.420000e+00 1.300000e-01 1.300000e-01 9.160216e-02 3.064086e-02 1.808371e-02
-1.725000e+00 1.750000e-01 1.750000e-01 9.516227e-02 2.810879e-02 1.932489e-02
-2.175000e+00 2.750000e-01 2.750000e-01 1.069154e-01 2.732207e-02 2.147049e-02
-2.775000e+00 3.250000e-01 3.250000e-01 1.281595e-01 2.762828e-02 2.473499e-02
-3.550000e+00 4.500000e-01 4.500000e-01 1.414852e-01 2.126203e-02 2.227275e-02
-4.500000e+00 5.000000e-01 5.000000e-01 1.410702e-01 1.626277e-02 1.834772e-02
-5.650000e+00 6.500000e-01 6.500000e-01 1.264492e-01 7.993080e-03 1.050197e-02
-7.150000e+00 8.500000e-01 8.500000e-01 9.016823e-02 9.867735e-03 1.425068e-02
-9.000000e+00 1.000000e+00 1.000000e+00 4.754070e-02 1.369158e-02 1.491025e-02
-1.125000e+01 1.250000e+00 1.250000e+00 1.980028e-02 8.747740e-03 7.969443e-03
-1.425000e+01 1.750000e+00 1.750000e+00 7.545400e-03 3.122000e-03 2.812442e-03
-1.800000e+01 2.000000e+00 2.000000e+00 2.666311e-03 1.059768e-03 9.430933e-04
-2.250000e+01 2.500000e+00 2.500000e+00 9.261757e-04 3.566157e-04 3.413510e-04
-2.825000e+01 3.250000e+00 3.250000e+00 3.094504e-04 1.460731e-04 1.199347e-04
-3.575000e+01 4.250000e+00 4.250000e+00 9.426077e-05 1.804177e-05 1.841606e-05
-4.500000e+01 5.000000e+00 5.000000e+00 6.797035e-05 1.506274e-05 1.529637e-05
-6.000000e+01 1.000000e+01 1.000000e+01 1.544700e-05 5.097896e-06 5.133709e-06
-8.500000e+01 1.500000e+01 1.500000e+01 1.099069e-06 9.743679e-07 9.753215e-07
-1.500000e+02 5.000000e+01 5.000000e+01 6.041377e-07 2.850524e-07 2.860343e-07
+1.062500e+00 6.250000e-02 6.250000e-02 8.048000e-02 3.501000e-02 2.067000e-02
+1.207500e+00 8.250000e-02 8.250000e-02 8.758000e-02 3.430000e-02 1.933000e-02
+1.420000e+00 1.300000e-01 1.300000e-01 9.160000e-02 3.064000e-02 1.808000e-02
+1.725000e+00 1.750000e-01 1.750000e-01 9.516000e-02 2.811000e-02 1.932000e-02
+2.175000e+00 2.750000e-01 2.750000e-01 1.069000e-01 2.730000e-02 2.150000e-02
+2.775000e+00 3.250000e-01 3.250000e-01 1.282000e-01 2.760000e-02 2.470000e-02
+3.550000e+00 4.500000e-01 4.500000e-01 1.415000e-01 2.130000e-02 2.230000e-02
+4.500000e+00 5.000000e-01 5.000000e-01 1.411000e-01 1.630000e-02 1.830000e-02
+5.650000e+00 6.500000e-01 6.500000e-01 1.264000e-01 8.000000e-03 1.050000e-02
+7.150000e+00 8.500000e-01 8.500000e-01 9.017000e-02 9.870000e-03 1.425000e-02
+9.000000e+00 1.000000e+00 1.000000e+00 4.754000e-02 1.369000e-02 1.491000e-02
+1.125000e+01 1.250000e+00 1.250000e+00 1.980000e-02 8.750000e-03 7.970000e-03
+1.425000e+01 1.750000e+00 1.750000e+00 7.545000e-03 3.122000e-03 2.812000e-03
+1.800000e+01 2.000000e+00 2.000000e+00 2.666000e-03 1.060000e-03 9.430000e-04
+2.250000e+01 2.500000e+00 2.500000e+00 9.262000e-04 3.566000e-04 3.414000e-04
+2.825000e+01 3.250000e+00 3.250000e+00 3.095000e-04 1.461000e-04 1.199000e-04
+3.575000e+01 4.250000e+00 4.250000e+00 9.426000e-05 1.804000e-05 1.842000e-05
+4.500000e+01 5.000000e+00 5.000000e+00 6.797000e-05 1.506000e-05 1.530000e-05
+6.000000e+01 1.000000e+01 1.000000e+01 1.545000e-05 5.100000e-06 5.130000e-06
+8.500000e+01 1.500000e+01 1.500000e+01 1.099000e-06 9.740000e-07 9.750000e-07
+1.500000e+02 5.000000e+01 5.000000e+01 6.041000e-07 2.851000e-07 2.860000e-07
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d05-x01-y01
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d05-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t5
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.075000e-01 7.500000e-03 7.500000e-03 6.419317e-01 1.699762e-01 1.416112e-01
-1.250000e-01 1.000000e-02 1.000000e-02 7.576218e-01 1.808762e-01 1.470202e-01
-1.475000e-01 1.250000e-02 1.250000e-02 9.371840e-01 2.128522e-01 1.649022e-01
-1.725000e-01 1.250000e-02 1.250000e-02 1.052341e+00 2.003292e-01 1.440082e-01
-2.000000e-01 1.500000e-02 1.500000e-02 1.175161e+00 1.841022e-01 1.305071e-01
-2.325000e-01 1.750000e-02 1.750000e-02 1.327041e+00 1.597392e-01 1.360321e-01
-2.700000e-01 2.000000e-02 2.000000e-02 1.432522e+00 1.460592e-01 1.431542e-01
-3.150000e-01 2.500000e-02 2.500000e-02 1.515442e+00 1.334131e-01 1.391711e-01
-3.700000e-01 3.000000e-02 3.000000e-02 1.489772e+00 1.094691e-01 1.137081e-01
-4.325000e-01 3.250000e-02 3.250000e-02 1.474172e+00 7.553138e-02 7.083158e-02
-5.025000e-01 3.750000e-02 3.750000e-02 1.328171e+00 5.951626e-02 6.355077e-02
-5.850000e-01 4.500000e-02 4.500000e-02 1.174261e+00 8.995900e-02 9.111900e-02
-6.825000e-01 5.250000e-02 5.250000e-02 1.064971e+00 9.645190e-02 9.989991e-02
-7.975000e-01 6.250000e-02 6.250000e-02 8.881970e-01 1.029921e-01 1.125571e-01
-9.300000e-01 7.000000e-02 7.000000e-02 6.953987e-01 1.203571e-01 1.289611e-01
+1.075000e-01 7.500000e-03 7.500000e-03 6.419000e-01 1.700000e-01 1.416000e-01
+1.250000e-01 1.000000e-02 1.000000e-02 7.576000e-01 1.809000e-01 1.470000e-01
+1.475000e-01 1.250000e-02 1.250000e-02 9.372000e-01 2.129000e-01 1.649000e-01
+1.725000e-01 1.250000e-02 1.250000e-02 1.052000e+00 2.000000e-01 1.440000e-01
+2.000000e-01 1.500000e-02 1.500000e-02 1.175000e+00 1.840000e-01 1.310000e-01
+2.325000e-01 1.750000e-02 1.750000e-02 1.327000e+00 1.600000e-01 1.360000e-01
+2.700000e-01 2.000000e-02 2.000000e-02 1.433000e+00 1.460000e-01 1.430000e-01
+3.150000e-01 2.500000e-02 2.500000e-02 1.515000e+00 1.330000e-01 1.390000e-01
+3.700000e-01 3.000000e-02 3.000000e-02 1.490000e+00 1.090000e-01 1.140000e-01
+4.325000e-01 3.250000e-02 3.250000e-02 1.474000e+00 7.600000e-02 7.100000e-02
+5.025000e-01 3.750000e-02 3.750000e-02 1.328000e+00 6.000000e-02 6.400000e-02
+5.850000e-01 4.500000e-02 4.500000e-02 1.174000e+00 9.000000e-02 9.100000e-02
+6.825000e-01 5.250000e-02 5.250000e-02 1.065000e+00 9.600000e-02 1.000000e-01
+7.975000e-01 6.250000e-02 6.250000e-02 8.882000e-01 1.030000e-01 1.126000e-01
+9.300000e-01 7.000000e-02 7.000000e-02 6.954000e-01 1.204000e-01 1.290000e-01
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d05-x01-y02
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d05-x01-y02
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t5
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.075000e-01 7.500000e-03 7.500000e-03 6.369924e-01 1.820264e-01 1.872447e-01
-1.250000e-01 1.000000e-02 1.000000e-02 8.253815e-01 2.016577e-01 1.693018e-01
-1.475000e-01 1.250000e-02 1.250000e-02 1.009220e+00 2.135466e-01 2.001087e-01
-1.725000e-01 1.250000e-02 1.250000e-02 1.097368e+00 1.981333e-01 1.641387e-01
-2.000000e-01 1.500000e-02 1.500000e-02 1.233779e+00 1.858438e-01 1.588911e-01
-2.325000e-01 1.750000e-02 1.750000e-02 1.357711e+00 1.777587e-01 1.616115e-01
-2.700000e-01 2.000000e-02 2.000000e-02 1.416575e+00 1.665059e-01 1.566961e-01
-3.150000e-01 2.500000e-02 2.500000e-02 1.467440e+00 1.442901e-01 1.324211e-01
-3.700000e-01 3.000000e-02 3.000000e-02 1.437038e+00 1.015282e-01 9.485456e-02
-4.325000e-01 3.250000e-02 3.250000e-02 1.425507e+00 5.085169e-02 4.300889e-02
-5.025000e-01 3.750000e-02 3.750000e-02 1.271707e+00 3.516592e-02 4.473284e-02
-5.850000e-01 4.500000e-02 4.500000e-02 1.198446e+00 8.309452e-02 9.771141e-02
-6.825000e-01 5.250000e-02 5.250000e-02 1.067839e+00 8.476190e-02 1.085830e-01
-7.975000e-01 6.250000e-02 6.250000e-02 8.906766e-01 8.993912e-02 1.027487e-01
-9.300000e-01 7.000000e-02 7.000000e-02 7.223464e-01 8.485560e-02 8.983781e-02
+1.075000e-01 7.500000e-03 7.500000e-03 6.370000e-01 1.820000e-01 1.872000e-01
+1.250000e-01 1.000000e-02 1.000000e-02 8.254000e-01 2.017000e-01 1.693000e-01
+1.475000e-01 1.250000e-02 1.250000e-02 1.009000e+00 2.140000e-01 2.000000e-01
+1.725000e-01 1.250000e-02 1.250000e-02 1.097000e+00 1.980000e-01 1.640000e-01
+2.000000e-01 1.500000e-02 1.500000e-02 1.234000e+00 1.860000e-01 1.590000e-01
+2.325000e-01 1.750000e-02 1.750000e-02 1.358000e+00 1.780000e-01 1.620000e-01
+2.700000e-01 2.000000e-02 2.000000e-02 1.417000e+00 1.670000e-01 1.570000e-01
+3.150000e-01 2.500000e-02 2.500000e-02 1.467000e+00 1.440000e-01 1.320000e-01
+3.700000e-01 3.000000e-02 3.000000e-02 1.437000e+00 1.020000e-01 9.500000e-02
+4.325000e-01 3.250000e-02 3.250000e-02 1.426000e+00 5.100000e-02 4.300000e-02
+5.025000e-01 3.750000e-02 3.750000e-02 1.272000e+00 3.500000e-02 4.500000e-02
+5.850000e-01 4.500000e-02 4.500000e-02 1.198000e+00 8.300000e-02 9.800000e-02
+6.825000e-01 5.250000e-02 5.250000e-02 1.068000e+00 8.500000e-02 1.090000e-01
+7.975000e-01 6.250000e-02 6.250000e-02 8.907000e-01 8.990000e-02 1.027000e-01
+9.300000e-01 7.000000e-02 7.000000e-02 7.223000e-01 8.490000e-02 8.980000e-02
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d06-x01-y01
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d06-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t6
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.075000e-01 7.500000e-03 7.500000e-03 2.007079e-01 1.166890e-01 7.329887e-02
-1.250000e-01 1.000000e-02 1.000000e-02 2.609129e-01 9.638867e-02 6.827438e-02
-1.475000e-01 1.250000e-02 1.250000e-02 4.315048e-01 1.694029e-01 1.117330e-01
-1.725000e-01 1.250000e-02 1.250000e-02 6.133568e-01 1.763259e-01 1.333610e-01
-2.000000e-01 1.500000e-02 1.500000e-02 8.345347e-01 1.855779e-01 1.936539e-01
-2.325000e-01 1.750000e-02 1.750000e-02 9.396637e-01 2.126749e-01 1.723719e-01
-2.700000e-01 2.000000e-02 2.000000e-02 1.080210e+00 1.791619e-01 1.346010e-01
-3.150000e-01 2.500000e-02 2.500000e-02 1.223410e+00 1.475869e-01 1.345220e-01
-3.700000e-01 3.000000e-02 3.000000e-02 1.350220e+00 1.395180e-01 1.365140e-01
-4.325000e-01 3.250000e-02 3.250000e-02 1.459389e+00 1.089050e-01 1.139410e-01
-5.025000e-01 3.750000e-02 3.750000e-02 1.424830e+00 7.001278e-02 7.023828e-02
-5.850000e-01 4.500000e-02 4.500000e-02 1.302510e+00 1.019650e-01 1.086300e-01
-6.825000e-01 5.250000e-02 5.250000e-02 1.227070e+00 1.060100e-01 1.225640e-01
-7.975000e-01 6.250000e-02 6.250000e-02 1.133980e+00 1.298350e-01 1.541929e-01
-9.300000e-01 7.000000e-02 7.000000e-02 9.485367e-01 1.831999e-01 1.970369e-01
+1.075000e-01 7.500000e-03 7.500000e-03 2.007000e-01 1.167000e-01 7.330000e-02
+1.250000e-01 1.000000e-02 1.000000e-02 2.609000e-01 9.640000e-02 6.830000e-02
+1.475000e-01 1.250000e-02 1.250000e-02 4.315000e-01 1.694000e-01 1.117000e-01
+1.725000e-01 1.250000e-02 1.250000e-02 6.134000e-01 1.763000e-01 1.334000e-01
+2.000000e-01 1.500000e-02 1.500000e-02 8.345000e-01 1.856000e-01 1.937000e-01
+2.325000e-01 1.750000e-02 1.750000e-02 9.397000e-01 2.127000e-01 1.724000e-01
+2.700000e-01 2.000000e-02 2.000000e-02 1.080000e+00 1.790000e-01 1.350000e-01
+3.150000e-01 2.500000e-02 2.500000e-02 1.223000e+00 1.480000e-01 1.350000e-01
+3.700000e-01 3.000000e-02 3.000000e-02 1.350000e+00 1.400000e-01 1.370000e-01
+4.325000e-01 3.250000e-02 3.250000e-02 1.459000e+00 1.090000e-01 1.140000e-01
+5.025000e-01 3.750000e-02 3.750000e-02 1.425000e+00 7.000000e-02 7.000000e-02
+5.850000e-01 4.500000e-02 4.500000e-02 1.303000e+00 1.020000e-01 1.090000e-01
+6.825000e-01 5.250000e-02 5.250000e-02 1.227000e+00 1.060000e-01 1.230000e-01
+7.975000e-01 6.250000e-02 6.250000e-02 1.134000e+00 1.300000e-01 1.540000e-01
+9.300000e-01 7.000000e-02 7.000000e-02 9.485000e-01 1.832000e-01 1.970000e-01
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d06-x01-y02
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d06-x01-y02
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t6
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.075000e-01 7.500000e-03 7.500000e-03 1.676652e-01 6.101312e-02 5.131754e-02
-1.250000e-01 1.000000e-02 1.000000e-02 2.330886e-01 8.862115e-02 6.516809e-02
-1.475000e-01 1.250000e-02 1.250000e-02 3.729342e-01 1.164853e-01 1.025585e-01
-1.725000e-01 1.250000e-02 1.250000e-02 5.573719e-01 2.029208e-01 1.275742e-01
-2.000000e-01 1.500000e-02 1.500000e-02 8.018047e-01 2.315064e-01 1.624371e-01
-2.325000e-01 1.750000e-02 1.750000e-02 1.042900e+00 2.311303e-01 2.073354e-01
-2.700000e-01 2.000000e-02 2.000000e-02 1.237819e+00 2.421355e-01 2.283063e-01
-3.150000e-01 2.500000e-02 2.500000e-02 1.291823e+00 1.863122e-01 1.838440e-01
-3.700000e-01 3.000000e-02 3.000000e-02 1.393266e+00 1.255044e-01 1.674308e-01
-4.325000e-01 3.250000e-02 3.250000e-02 1.432068e+00 1.278331e-01 1.485437e-01
-5.025000e-01 3.750000e-02 3.750000e-02 1.441493e+00 9.849058e-02 1.013334e-01
-5.850000e-01 4.500000e-02 4.500000e-02 1.253174e+00 1.011095e-01 1.133739e-01
-6.825000e-01 5.250000e-02 5.250000e-02 1.245040e+00 1.364767e-01 1.246867e-01
-7.975000e-01 6.250000e-02 6.250000e-02 1.063271e+00 1.557468e-01 1.460546e-01
-9.300000e-01 7.000000e-02 7.000000e-02 9.549284e-01 1.681654e-01 1.646919e-01
+1.075000e-01 7.500000e-03 7.500000e-03 1.677000e-01 6.100000e-02 5.130000e-02
+1.250000e-01 1.000000e-02 1.000000e-02 2.331000e-01 8.860000e-02 6.520000e-02
+1.475000e-01 1.250000e-02 1.250000e-02 3.729000e-01 1.165000e-01 1.026000e-01
+1.725000e-01 1.250000e-02 1.250000e-02 5.574000e-01 2.029000e-01 1.276000e-01
+2.000000e-01 1.500000e-02 1.500000e-02 8.018000e-01 2.315000e-01 1.624000e-01
+2.325000e-01 1.750000e-02 1.750000e-02 1.043000e+00 2.310000e-01 2.070000e-01
+2.700000e-01 2.000000e-02 2.000000e-02 1.238000e+00 2.420000e-01 2.280000e-01
+3.150000e-01 2.500000e-02 2.500000e-02 1.292000e+00 1.860000e-01 1.840000e-01
+3.700000e-01 3.000000e-02 3.000000e-02 1.393000e+00 1.260000e-01 1.670000e-01
+4.325000e-01 3.250000e-02 3.250000e-02 1.432000e+00 1.280000e-01 1.490000e-01
+5.025000e-01 3.750000e-02 3.750000e-02 1.441000e+00 9.800000e-02 1.010000e-01
+5.850000e-01 4.500000e-02 4.500000e-02 1.253000e+00 1.010000e-01 1.130000e-01
+6.825000e-01 5.250000e-02 5.250000e-02 1.245000e+00 1.360000e-01 1.250000e-01
+7.975000e-01 6.250000e-02 6.250000e-02 1.063000e+00 1.560000e-01 1.460000e-01
+9.300000e-01 7.000000e-02 7.000000e-02 9.549000e-01 1.682000e-01 1.647000e-01
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d07-x01-y01
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d07-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t7
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.300000e-01 3.000000e-02 3.000000e-02 2.754507e-02 2.951687e-02 1.817478e-02
-1.800000e-01 2.000000e-02 2.000000e-02 2.614887e-01 1.570958e-01 8.893721e-02
-2.250000e-01 2.500000e-02 2.500000e-02 5.617875e-01 2.324818e-01 2.014568e-01
-2.825000e-01 3.250000e-02 3.250000e-02 8.265362e-01 2.675007e-01 2.223938e-01
-3.575000e-01 4.250000e-02 4.250000e-02 1.056039e+00 2.677177e-01 1.934078e-01
-4.500000e-01 5.000000e-02 5.000000e-02 1.347719e+00 2.181378e-01 1.854278e-01
-5.650000e-01 6.500000e-02 6.500000e-02 1.592688e+00 1.465589e-01 1.465559e-01
-7.150000e-01 8.500000e-02 8.500000e-02 1.456089e+00 1.947068e-01 2.056028e-01
-9.000000e-01 1.000000e-01 1.000000e-01 1.134769e+00 2.623377e-01 2.809777e-01
+1.300000e-01 3.000000e-02 3.000000e-02 2.755000e-02 2.952000e-02 1.817000e-02
+1.800000e-01 2.000000e-02 2.000000e-02 2.615000e-01 1.571000e-01 8.890000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 5.618000e-01 2.325000e-01 2.015000e-01
+2.825000e-01 3.250000e-02 3.250000e-02 8.265000e-01 2.675000e-01 2.224000e-01
+3.575000e-01 4.250000e-02 4.250000e-02 1.056000e+00 2.680000e-01 1.930000e-01
+4.500000e-01 5.000000e-02 5.000000e-02 1.348000e+00 2.180000e-01 1.850000e-01
+5.650000e-01 6.500000e-02 6.500000e-02 1.593000e+00 1.470000e-01 1.470000e-01
+7.150000e-01 8.500000e-02 8.500000e-02 1.456000e+00 1.950000e-01 2.060000e-01
+9.000000e-01 1.000000e-01 1.000000e-01 1.135000e+00 2.620000e-01 2.810000e-01
END YODA_SCATTER2D_V2
-
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1217867/d07-x01-y02
IsRef: 1
Path: /REF/ATLAS_2013_I1217867/d07-x01-y02
-Title: ~
+Title: doi:10.17182/hepdata.60309.v1/t7
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.300000e-01 3.000000e-02 3.000000e-02 1.255371e-01 8.455765e-02 7.963443e-02
-1.800000e-01 2.000000e-02 2.000000e-02 3.753712e-01 2.042865e-01 1.783289e-01
-2.250000e-01 2.500000e-02 2.500000e-02 5.900131e-01 2.774600e-01 2.240464e-01
-2.825000e-01 3.250000e-02 3.250000e-02 8.486630e-01 2.561510e-01 1.972960e-01
-3.575000e-01 4.250000e-02 4.250000e-02 1.094824e+00 2.453012e-01 2.160105e-01
-4.500000e-01 5.000000e-02 5.000000e-02 1.349463e+00 2.516145e-01 2.147812e-01
-5.650000e-01 6.500000e-02 6.500000e-02 1.475304e+00 1.278649e-01 1.278649e-01
-7.150000e-01 8.500000e-02 8.500000e-02 1.342537e+00 1.392515e-01 1.880024e-01
-9.000000e-01 1.000000e-01 1.000000e-01 1.223810e+00 1.785165e-01 2.292412e-01
+1.300000e-01 3.000000e-02 3.000000e-02 1.255000e-01 8.460000e-02 7.960000e-02
+1.800000e-01 2.000000e-02 2.000000e-02 3.754000e-01 2.043000e-01 1.783000e-01
+2.250000e-01 2.500000e-02 2.500000e-02 5.900000e-01 2.775000e-01 2.240000e-01
+2.825000e-01 3.250000e-02 3.250000e-02 8.487000e-01 2.562000e-01 1.973000e-01
+3.575000e-01 4.250000e-02 4.250000e-02 1.095000e+00 2.450000e-01 2.160000e-01
+4.500000e-01 5.000000e-02 5.000000e-02 1.349000e+00 2.520000e-01 2.150000e-01
+5.650000e-01 6.500000e-02 6.500000e-02 1.475000e+00 1.280000e-01 1.280000e-01
+7.150000e-01 8.500000e-02 8.500000e-02 1.343000e+00 1.390000e-01 1.880000e-01
+9.000000e-01 1.000000e-01 1.000000e-01 1.224000e+00 1.790000e-01 2.290000e-01
END YODA_SCATTER2D_V2
diff --git a/analyses/pluginATLAS/ATLAS_2013_I1234228.yoda b/analyses/pluginATLAS/ATLAS_2013_I1234228.yoda
--- a/analyses/pluginATLAS/ATLAS_2013_I1234228.yoda
+++ b/analyses/pluginATLAS/ATLAS_2013_I1234228.yoda
@@ -1,21 +1,42 @@
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1234228/d01-x01-y01
+IsRef: 1
+Path: /REF/ATLAS_2013_I1234228/d01-x01-y01
+Title: doi:10.17182/hepdata.61422.v1/t1
+Type: Scatter2D
+---
+# xval xerr- xerr+ yval yerr- yerr+
+1.230000e+02 7.000000e+00 7.000000e+00 2.240000e-01 9.725315e-03 9.725315e-03
+1.400000e+02 1.000000e+01 1.000000e+01 1.020000e-01 4.612611e-03 4.612611e-03
+1.600000e+02 1.000000e+01 1.000000e+01 5.120000e-02 2.568179e-03 2.568179e-03
+1.800000e+02 1.000000e+01 1.000000e+01 2.840000e-02 1.539374e-03 1.539374e-03
+2.000000e+02 1.000000e+01 1.000000e+01 1.870000e-02 1.138859e-03 1.138859e-03
+2.200000e+02 1.000000e+01 1.000000e+01 1.070000e-02 8.047794e-04 8.047794e-04
+2.400000e+02 1.000000e+01 1.000000e+01 8.230000e-03 6.472465e-04 6.472465e-04
+2.750000e+02 2.500000e+01 2.500000e+01 4.660000e-03 3.364572e-04 3.364572e-04
+3.500000e+02 5.000000e+01 5.000000e+01 1.700000e-03 1.325782e-04 1.325782e-04
+4.500000e+02 5.000000e+01 5.000000e+01 4.740000e-04 5.363745e-05 5.363745e-05
+6.000000e+02 1.000000e+02 1.000000e+02 1.460000e-04 1.808810e-05 1.808810e-05
+8.500000e+02 1.500000e+02 1.500000e+02 2.210000e-05 5.556953e-06 5.556953e-06
+1.250000e+03 2.500000e+02 2.500000e+02 2.880000e-06 1.467399e-06 1.467399e-06
+END YODA_SCATTER2D_V2
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1234228/d01-x01-y02
IsRef: 1
Path: /REF/ATLAS_2013_I1234228/d01-x01-y02
-Title: ~
+Title: doi:10.17182/hepdata.61422.v1/t1
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
1.230000e+02 7.000000e+00 7.000000e+00 2.150000e-01 9.334566e-03 9.334566e-03
1.400000e+02 1.000000e+01 1.000000e+01 9.840000e-02 4.449813e-03 4.449813e-03
1.600000e+02 1.000000e+01 1.000000e+01 4.930000e-02 2.472875e-03 2.472875e-03
1.800000e+02 1.000000e+01 1.000000e+01 2.760000e-02 1.496012e-03 1.496012e-03
2.000000e+02 1.000000e+01 1.000000e+01 1.820000e-02 1.108408e-03 1.108408e-03
2.200000e+02 1.000000e+01 1.000000e+01 1.040000e-02 7.822155e-04 7.822155e-04
2.400000e+02 1.000000e+01 1.000000e+01 7.980000e-03 6.275853e-04 6.275853e-04
2.750000e+02 2.500000e+01 2.500000e+01 4.520000e-03 3.263490e-04 3.263490e-04
3.500000e+02 5.000000e+01 5.000000e+01 1.650000e-03 1.286788e-04 1.286788e-04
4.500000e+02 5.000000e+01 5.000000e+01 4.580000e-04 5.182690e-05 5.182690e-05
6.000000e+02 1.000000e+02 1.000000e+02 1.410000e-04 1.746864e-05 1.746864e-05
8.500000e+02 1.500000e+02 1.500000e+02 2.130000e-05 5.355796e-06 5.355796e-06
1.250000e+03 2.500000e+02 2.500000e+02 2.760000e-06 1.406257e-06 1.406257e-06
END YODA_SCATTER2D_V2
diff --git a/analyses/pluginATLAS/ATLAS_2013_I1263495.cc b/analyses/pluginATLAS/ATLAS_2013_I1263495.cc
--- a/analyses/pluginATLAS/ATLAS_2013_I1263495.cc
+++ b/analyses/pluginATLAS/ATLAS_2013_I1263495.cc
@@ -1,133 +1,131 @@
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/LeadingParticlesFinalState.hh"
#include "Rivet/Projections/FastJets.hh"
namespace Rivet {
/// Inclusive isolated prompt photon analysis with 2011 LHC data
class ATLAS_2013_I1263495 : public Analysis {
public:
/// Constructor
ATLAS_2013_I1263495()
: Analysis("ATLAS_2013_I1263495"),
_eta_bins{0.00, 1.37, 1.52, 2.37},
_eta_bins_areaoffset{0.0, 1.5, 3.0}
{ }
/// Book histograms and initialise projections before the run
void init() {
FinalState fs;
declare(fs, "FS");
// Consider the final state jets for the energy density calculation
FastJets fj(fs, FastJets::KT, 0.5);
fj.useJetArea(new fastjet::AreaDefinition(fastjet::VoronoiAreaSpec()));
declare(fj, "KtJetsD05");
// Consider the leading pt photon with |eta| < 2.37 and pT > 100 GeV
LeadingParticlesFinalState photonfs(FinalState(Cuts::abseta < 2.37 && Cuts::pT > 100*GeV));
photonfs.addParticleId(PID::PHOTON);
declare(photonfs, "LeadingPhoton");
// Book the dsigma/dEt (in eta bins) histograms
- for (size_t i = 0; i < _eta_bins.size() - 1; i++) {
- if (fuzzyEquals(_eta_bins[i], 1.37)) continue; // skip this bin
- _h_Et_photon[i] = bookHisto1D(1, 1, i+1);
- }
+ _h_Et_photon[0] = bookHisto1D(1, 1, 1);
+ _h_Et_photon[2] = bookHisto1D(2, 1, 1);
// Book the dsigma/d|eta| histogram
- _h_eta_photon = bookHisto1D(1,2,1);
+ _h_eta_photon = bookHisto1D(3,1,1);
}
/// Return eta bin for either dsigma/dET histogram (area_eta=false) or energy density correction (area_eta=true)
size_t _getEtaBin(double eta_w, bool area_eta) const {
const double eta = fabs(eta_w);
if (!area_eta) {
return binIndex(eta, _eta_bins);
} else {
return binIndex(eta, _eta_bins_areaoffset);
}
}
/// Perform the per-event analysis
void analyze(const Event& event) {
// Retrieve leading photon
Particles photons = apply<LeadingParticlesFinalState>(event, "LeadingPhoton").particles();
if (photons.size() != 1) vetoEvent;
const Particle& leadingPhoton = photons[0];
// Veto events with photon in ECAL crack
if (inRange(leadingPhoton.abseta(), 1.37, 1.52)) vetoEvent;
// Compute isolation energy in cone of radius .4 around photon (all particles)
FourMomentum mom_in_EtCone;
Particles fs = apply<FinalState>(event, "FS").particles();
for (const Particle& p : fs) {
// Check if it's outside the cone of 0.4
if (deltaR(leadingPhoton, p) >= 0.4) continue;
// Don't count particles in the 5x7 central core
if (deltaEta(leadingPhoton, p) < .025*5.0*0.5 &&
deltaPhi(leadingPhoton, p) < (PI/128.)*7.0*0.5) continue;
// Increment isolation energy
mom_in_EtCone += p.momentum();
}
// Get the area-filtered jet inputs for computing median energy density, etc.
vector<double> ptDensity;
vector< vector<double> > ptDensities(_eta_bins_areaoffset.size()-1);
FastJets fast_jets =apply<FastJets>(event, "KtJetsD05");
const shared_ptr<fastjet::ClusterSequenceArea> clust_seq_area = fast_jets.clusterSeqArea();
foreach (const Jet& jet, fast_jets.jets()) {
const double area = clust_seq_area->area(jet);
if (area > 1e-4 && jet.abseta() < _eta_bins_areaoffset.back())
ptDensities.at( _getEtaBin(jet.abseta(), true) ).push_back(jet.pT()/area);
}
// Compute the median energy density, etc.
for (size_t b = 0; b < _eta_bins_areaoffset.size()-1; b++) {
ptDensity += ptDensities[b].empty() ? 0 : median(ptDensities[b]);
}
// Compute the isolation energy correction (cone area*energy density)
const double etCone_area = PI*sqr(0.4) - (7.0*.025)*(5.0*PI/128.);
const double correction = ptDensity[_getEtaBin(leadingPhoton.abseta(), true)]*etCone_area;
// Apply isolation cut on area-corrected value
if (mom_in_EtCone.Et() - correction > 7*GeV) vetoEvent;
// Fill histograms
const size_t eta_bin = _getEtaBin(leadingPhoton.abseta(), false);
_h_Et_photon[eta_bin]->fill(leadingPhoton.Et(), event.weight());
_h_eta_photon->fill(leadingPhoton.abseta(), event.weight());
}
/// Normalise histograms etc., after the run
void finalize() {
for (size_t i = 0; i < _eta_bins.size()-1; i++) {
if (fuzzyEquals(_eta_bins[i], 1.37)) continue;
scale(_h_Et_photon[i], crossSection()/picobarn/sumOfWeights());
}
scale(_h_eta_photon, crossSection()/picobarn/sumOfWeights());
}
private:
Histo1DPtr _h_Et_photon[3];
Histo1DPtr _h_eta_photon;
vector<double> _eta_bins, _eta_bins_areaoffset;
};
DECLARE_RIVET_PLUGIN(ATLAS_2013_I1263495);
}
diff --git a/analyses/pluginATLAS/ATLAS_2013_I1263495.plot b/analyses/pluginATLAS/ATLAS_2013_I1263495.plot
--- a/analyses/pluginATLAS/ATLAS_2013_I1263495.plot
+++ b/analyses/pluginATLAS/ATLAS_2013_I1263495.plot
@@ -1,18 +1,18 @@
# BEGIN PLOT /ATLAS_2013_I1263495/d01-x01-y01
Title=Transverse energy of isolated prompt photon, $|\eta^\gamma| < 1.37$
XLabel=$E_\perp^\gamma$ [GeV]
YLabel=$\mathrm{d}\sigma/\mathrm{d}E_\perp^\gamma$ [pb/GeV]
# END PLOT
-# BEGIN PLOT /ATLAS_2013_I1263495/d01-x01-y03
+# BEGIN PLOT /ATLAS_2013_I1263495/d02-x01-y01
Title=Transverse energy of isolated prompt photon, $1.52 \leq |\eta^\gamma| < 2.37$
XLabel=$E_\perp^\gamma$ [GeV]
YLabel=$\mathrm{d}\sigma/\mathrm{d}E_\perp^\gamma$ [pb/GeV]
# END PLOT
-# BEGIN PLOT /ATLAS_2013_I1263495/d01-x02-y01
+# BEGIN PLOT /ATLAS_2013_I1263495/d03-x01-y01
Title=Pseudorapidity of isolated prompt photon, $100 < E_\perp^\gamma < 1000$ GeV
XLabel=$|\eta^\gamma|$
YLabel=$\mathrm{d}\sigma/\mathrm{d}\eta^\gamma$ [pb]
LogY=0
# END PLOT
diff --git a/analyses/pluginATLAS/ATLAS_2013_I1263495.yoda b/analyses/pluginATLAS/ATLAS_2013_I1263495.yoda
--- a/analyses/pluginATLAS/ATLAS_2013_I1263495.yoda
+++ b/analyses/pluginATLAS/ATLAS_2013_I1263495.yoda
@@ -1,60 +1,58 @@
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1263495/d01-x01-y01
IsRef: 1
Path: /REF/ATLAS_2013_I1263495/d01-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.66783.v1/t1
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
1.125000e+02 1.250000e+01 1.250000e+01 5.550000e+00 2.109502e-01 3.006659e-01
1.375000e+02 1.250000e+01 1.250000e+01 2.060000e+00 8.062258e-02 1.204159e-01
1.625000e+02 1.250000e+01 1.250000e+01 8.820000e-01 3.275668e-02 4.554119e-02
1.875000e+02 1.250000e+01 1.250000e+01 4.280000e-01 1.581139e-02 2.745906e-02
2.250000e+02 2.500000e+01 2.500000e+01 1.710000e-01 6.082763e-03 1.104536e-02
2.750000e+02 2.500000e+01 2.500000e+01 5.650000e-02 2.500000e-03 3.373426e-03
3.250000e+02 2.500000e+01 2.500000e+01 2.250000e-02 9.848858e-04 1.456022e-03
3.750000e+02 2.500000e+01 2.500000e+01 9.430000e-03 4.517743e-04 7.021396e-04
4.500000e+02 5.000000e+01 5.000000e+01 3.120000e-03 1.612452e-04 2.720294e-04
5.500000e+02 5.000000e+01 5.000000e+01 8.440000e-04 7.280110e-05 9.305912e-05
6.500000e+02 5.000000e+01 5.000000e+01 2.500000e-04 3.538361e-05 4.000000e-05
7.500000e+02 5.000000e+01 5.000000e+01 7.770000e-05 1.881382e-05 1.977397e-05
9.000000e+02 1.000000e+02 1.000000e+02 2.110000e-05 6.859300e-06 7.150524e-06
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1263495/d01-x01-y03
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1263495/d02-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2013_I1263495/d01-x01-y03
-Title: ~
+Path: /REF/ATLAS_2013_I1263495/d02-x01-y01
+Title: doi:10.17182/hepdata.66783.v1/t2
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
1.125000e+02 1.250000e+01 1.250000e+01 3.030000e+00 1.902630e-01 1.902630e-01
1.375000e+02 1.250000e+01 1.250000e+01 1.060000e+00 6.082763e-02 9.055385e-02
1.625000e+02 1.250000e+01 1.250000e+01 4.340000e-01 2.451530e-02 2.745906e-02
1.875000e+02 1.250000e+01 1.250000e+01 1.900000e-01 1.044031e-02 1.627882e-02
2.250000e+02 2.500000e+01 2.500000e+01 6.840000e-02 3.785499e-03 5.755867e-03
2.750000e+02 2.500000e+01 2.500000e+01 1.890000e-02 1.264911e-03 1.649242e-03
3.250000e+02 2.500000e+01 2.500000e+01 5.520000e-03 4.219005e-04 6.390618e-04
3.750000e+02 2.500000e+01 2.500000e+01 1.760000e-03 1.886796e-04 2.147091e-04
4.500000e+02 5.000000e+01 5.000000e+01 3.930000e-04 5.603570e-05 6.624198e-05
5.500000e+02 5.000000e+01 5.000000e+01 6.830000e-05 2.202294e-05 2.040441e-05
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1263495/d01-x02-y01
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2013_I1263495/d03-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2013_I1263495/d01-x02-y01
-Title: ~
+Path: /REF/ATLAS_2013_I1263495/d03-x01-y01
+Title: doi:10.17182/hepdata.66783.v1/t3
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
1.000000e-01 1.000000e-01 1.000000e-01 1.720000e+02 9.055385e+00 8.062258e+00
3.000000e-01 1.000000e-01 1.000000e-01 1.710000e+02 8.062258e+00 8.062258e+00
5.000000e-01 1.000000e-01 1.000000e-01 1.750000e+02 7.071068e+00 9.055385e+00
7.000000e-01 1.000000e-01 1.000000e-01 1.770000e+02 6.082763e+00 1.004988e+01
9.000000e-01 1.000000e-01 1.000000e-01 1.730000e+02 7.071068e+00 9.055385e+00
1.100000e+00 1.000000e-01 1.000000e-01 1.750000e+02 6.082763e+00 1.104536e+01
1.285000e+00 8.500000e-02 8.500000e-02 1.760000e+02 6.082763e+00 1.303840e+01
1.660000e+00 1.400000e-01 1.400000e-01 1.680000e+02 1.104536e+01 1.204159e+01
1.900000e+00 1.000000e-01 1.000000e-01 1.460000e+02 8.062258e+00 1.004988e+01
2.100000e+00 1.000000e-01 1.000000e-01 1.410000e+02 7.071068e+00 9.055385e+00
2.285000e+00 8.500000e-02 8.500000e-02 1.170000e+02 7.071068e+00 7.071068e+00
END YODA_SCATTER2D_V2
diff --git a/analyses/pluginATLAS/ATLAS_2014_I1279489.cc b/analyses/pluginATLAS/ATLAS_2014_I1279489.cc
--- a/analyses/pluginATLAS/ATLAS_2014_I1279489.cc
+++ b/analyses/pluginATLAS/ATLAS_2014_I1279489.cc
@@ -1,396 +1,375 @@
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/IdentifiedFinalState.hh"
#include "Rivet/Projections/VetoedFinalState.hh"
#include "Rivet/Projections/FastJets.hh"
#include "Rivet/Projections/DressedLeptons.hh"
namespace Rivet {
struct Plots {
string label;
Histo1DPtr h_dy;
Histo1DPtr h_mjj;
Histo1DPtr h_njets;
Histo1DPtr h_dphijj;
Histo1DPtr h_ptbal;
Histo1DPtr h_jetveto_mjj_veto;
Histo1DPtr h_jetveto_mjj_inc;
Histo1DPtr h_jetveto_dy_veto;
Histo1DPtr h_jetveto_dy_inc;
Histo1DPtr h_ptbaleff_mjj_veto;
Histo1DPtr h_ptbaleff_mjj_inc;
Histo1DPtr h_ptbaleff_dy_veto;
Histo1DPtr h_ptbaleff_dy_inc;
Profile1DPtr p_avgnjets_dy;
Profile1DPtr p_avgnjets_mjj;
};
struct Variables {
Variables(const vector<const Jet*>& jets, const Particle* lep1, const Particle* lep2) {
FourMomentum j1 = jets.at(0)->momentum();
FourMomentum j2 = jets.at(1)->momentum();
jet1pt = j1.pT();
jet2pt = j2.pT();
assert(jet1pt > jet2pt);
zpt = (lep1->mom() + lep2->mom()).pT();
deltay = fabs(j1.rapidity() - j2.rapidity());
mjj = (j1 + j2).mass();
deltaphijj = deltaPhi(j1, j2) / PI;
FourMomentum gapjet(0., 0., 0., 0.);
ngapjets = _getNumGapJets(jets, gapjet);
double ptbal_vec = (j1 + j2 + lep1->mom() + lep2->mom()).pT();
double ptbal_sc = j1.pT() + j2.pT() + lep1->pT() + lep2->pT();
ptbalance2 = ptbal_vec / ptbal_sc;
double ptbal3_vec = (j1 + j2 + gapjet + lep1->mom() + lep2->mom()).pT();
double ptbal3_sc = j1.pT() + j2.pT() + gapjet.pT() + lep1->pT() + lep2->pT();
ptbalance3 = ptbal3_vec / ptbal3_sc;
pass_jetveto = gapjet.pT() < 25.0*GeV;
pass_ptbaleff = ptbalance2 < 0.15;
}
double jet1pt;
double jet2pt;
double zpt;
double deltay;
double mjj;
double deltaphijj;
double ptbalance2;
double ptbalance3;
int ngapjets;
double dilepton_dr;
bool pass_jetveto;
bool pass_ptbaleff;
private:
bool _isBetween(const Jet* probe, const Jet* boundary1, const Jet* boundary2) {
double y_p = probe->rapidity();
double y_b1 = boundary1->rapidity();
double y_b2 = boundary2->rapidity();
double y_min = std::min(y_b1, y_b2);
double y_max = std::max(y_b1, y_b2);
if (y_p > y_min && y_p < y_max) return true;
else return false;
}
int _getNumGapJets(const vector<const Jet*>& jets, FourMomentum& thirdJet) {
if (jets.size() < 2) return 0;
// The vector of jets is already sorted by pT. So the boundary jets will be the first two.
const Jet* bj1 = jets.at(0);
const Jet* bj2 = jets.at(1);
int n_between = 0;
// Start loop at the 3rd hardest pT jet
for (size_t i = 2; i < jets.size(); ++i) {
const Jet* j = jets.at(i);
// If this jet is between the boundary jets and is hard enough, increment counter
if (_isBetween(j, bj1, bj2)) {
if (n_between == 0) thirdJet = j->momentum();
++n_between;
}
}
return n_between;
}
};
class ATLAS_2014_I1279489 : public Analysis {
public:
/// Constructor
ATLAS_2014_I1279489()
: Analysis("ATLAS_2014_I1279489")
{ }
/// Book histograms and initialise projections before the run
void init() {
FinalState fs(-5.0, 5.0);
IdentifiedFinalState photon_fs(fs);
photon_fs.acceptIdPair(PID::PHOTON);
IdentifiedFinalState electron_fs(fs);
electron_fs.acceptIdPair(PID::ELECTRON);
IdentifiedFinalState muon_fs(fs);
muon_fs.acceptIdPair(PID::MUON);
DressedLeptons dressed_electrons(photon_fs, electron_fs, 0.1, Cuts::abseta < 2.47 && Cuts::pT > 25*GeV);
declare(dressed_electrons, "DressedElectrons");
DressedLeptons dressed_muons(photon_fs, muon_fs, 0.1, Cuts::abseta < 2.47 && Cuts::pT > 25*GeV);
declare(dressed_muons, "DressedMuons");
FastJets jets(fs, FastJets::ANTIKT, 0.4);
declare(jets, "Jets");
initialisePlots(baseline_plots, "baseline");
initialisePlots(highpt_plots, "highpt");
initialisePlots(search_plots, "search");
initialisePlots(control_plots, "control");
initialisePlots(highmass_plots, "highmass");
}
void initialisePlots(Plots& plots, const string& phase_space){
- /****************************************
- * Plot labeling: *
- * format = d0_-x0_-y0_ *
- * d01 = baseline fiducial region *
- * d02 = high-pt fiducial region *
- * d03 = search fiducial region *
- * d04 = control fiducial region *
- * d05 = high-mass fiducial region *
- * *
- * x01 = mjj on x-axis *
- * x02 = delta-y on x-axis *
- * x03 = njets on x-axis *
- * x04 = dphijj on x-axis *
- * x05 = ptbalance on x-axis *
- * *
- * y01 = differential cross-section *
- * y02 = jet veto efficiency *
- * y03 = ptbalance efficiency *
- * y04 = average njets *
- ****************************************/
plots.label = phase_space;
if (phase_space=="baseline") {
plots.h_mjj = bookHisto1D(1, 1, 1);
- plots.h_dy = bookHisto1D(1, 2, 1);
+ plots.h_dy = bookHisto1D(3, 1, 1);
- plots.h_jetveto_mjj_veto = bookHisto1D("jetveto_mjj_baseline_veto", refData(1,1,2));
- plots.h_jetveto_mjj_inc = bookHisto1D("jetveto_mjj_baseline_inc", refData(1,1,2));
- plots.h_jetveto_dy_veto = bookHisto1D("jetveto_dy_baseline_veto", refData(1,2,2));
- plots.h_jetveto_dy_inc = bookHisto1D("jetveto_dy_baseline_inc", refData(1,2,2));
+ plots.h_jetveto_mjj_veto = bookHisto1D("jetveto_mjj_baseline_veto", refData(8,1,1));
+ plots.h_jetveto_mjj_inc = bookHisto1D("jetveto_mjj_baseline_inc", refData(8,1,1));
+ plots.h_jetveto_dy_veto = bookHisto1D("jetveto_dy_baseline_veto", refData(9,1,1));
+ plots.h_jetveto_dy_inc = bookHisto1D("jetveto_dy_baseline_inc", refData(9,1,1));
- plots.h_ptbaleff_mjj_veto = bookHisto1D("ptbaleff_mjj_baseline_veto", refData(1,1,3));
- plots.h_ptbaleff_mjj_inc = bookHisto1D("ptbaleff_mjj_baseline_inc", refData(1,1,3));
- plots.h_ptbaleff_dy_veto = bookHisto1D("ptbaleff_dy_baseline_veto", refData(1,2,3));
- plots.h_ptbaleff_dy_inc = bookHisto1D("ptbaleff_dy_baseline_inc", refData(1,2,3));
+ plots.h_ptbaleff_mjj_veto = bookHisto1D("ptbaleff_mjj_baseline_veto", refData(12,1,1));
+ plots.h_ptbaleff_mjj_inc = bookHisto1D("ptbaleff_mjj_baseline_inc", refData(12,1,1));
+ plots.h_ptbaleff_dy_veto = bookHisto1D("ptbaleff_dy_baseline_veto", refData(13,1,1));
+ plots.h_ptbaleff_dy_inc = bookHisto1D("ptbaleff_dy_baseline_inc", refData(13,1,1));
- plots.p_avgnjets_mjj = bookProfile1D(1,1,4);
- plots.p_avgnjets_dy = bookProfile1D(1,2,4);
+ plots.p_avgnjets_mjj = bookProfile1D(10,1,1);
+ plots.p_avgnjets_dy = bookProfile1D(11,1,1);
}
if (phase_space=="highpt") {
- plots.h_mjj = bookHisto1D(2, 1, 1);
- plots.h_dy = bookHisto1D(2, 2, 1);
+ plots.h_mjj = bookHisto1D(14, 1, 1);
+ plots.h_dy = bookHisto1D(16, 1, 1);
- plots.h_jetveto_mjj_veto = bookHisto1D("jetveto_mjj_highpt_veto", refData(2,1,2));
- plots.h_jetveto_mjj_inc = bookHisto1D("jetveto_mjj_highpt_inc", refData(2,1,2));
- plots.h_jetveto_dy_veto = bookHisto1D("jetveto_dy_highpt_veto", refData(2,2,2));
- plots.h_jetveto_dy_inc = bookHisto1D("jetveto_dy_highpt_inc", refData(2,2,2));
+ plots.h_jetveto_mjj_veto = bookHisto1D("jetveto_mjj_highpt_veto", refData(18,1,1));
+ plots.h_jetveto_mjj_inc = bookHisto1D("jetveto_mjj_highpt_inc", refData(18,1,1));
+ plots.h_jetveto_dy_veto = bookHisto1D("jetveto_dy_highpt_veto", refData(19,1,1));
+ plots.h_jetveto_dy_inc = bookHisto1D("jetveto_dy_highpt_inc", refData(19,1,1));
- plots.h_ptbaleff_mjj_veto = bookHisto1D("ptbaleff_mjj_highpt_veto", refData(2,1,3));
- plots.h_ptbaleff_mjj_inc = bookHisto1D("ptbaleff_mjj_highpt_inc", refData(2,1,3));
- plots.h_ptbaleff_dy_veto = bookHisto1D("ptbaleff_dy_highpt_veto", refData(2,2,3));
- plots.h_ptbaleff_dy_inc = bookHisto1D("ptbaleff_dy_highpt_inc", refData(2,2,3));
+ plots.h_ptbaleff_mjj_veto = bookHisto1D("ptbaleff_mjj_highpt_veto", refData(22,1,1));
+ plots.h_ptbaleff_mjj_inc = bookHisto1D("ptbaleff_mjj_highpt_inc", refData(22,1,1));
+ plots.h_ptbaleff_dy_veto = bookHisto1D("ptbaleff_dy_highpt_veto", refData(23,1,1));
+ plots.h_ptbaleff_dy_inc = bookHisto1D("ptbaleff_dy_highpt_inc", refData(23,1,1));
- plots.p_avgnjets_mjj = bookProfile1D(2,1,4);
- plots.p_avgnjets_dy = bookProfile1D(2,2,4);
+ plots.p_avgnjets_mjj = bookProfile1D(20,1,1);
+ plots.p_avgnjets_dy = bookProfile1D(21,1,1);
}
if (phase_space=="search") {
- plots.h_mjj = bookHisto1D(3,1,1);
- plots.h_dy = bookHisto1D(3,2,1);
+ plots.h_mjj = bookHisto1D(2,1,1);
+ plots.h_dy = bookHisto1D(4,1,1);
}
if (phase_space=="control") {
- plots.h_mjj = bookHisto1D(4,1,1);
- plots.h_dy = bookHisto1D(4,2,1);
+ plots.h_mjj = bookHisto1D(15,1,1);
+ plots.h_dy = bookHisto1D(17,1,1);
}
if (phase_space=="highmass") {
- plots.h_njets = bookHisto1D(5, 3, 1);
- plots.h_dphijj = bookHisto1D(5, 4, 1);
- plots.h_ptbal = bookHisto1D(5, 5, 1);
+ plots.h_njets = bookHisto1D(5, 1, 1);
+ plots.h_dphijj = bookHisto1D(7, 1, 1);
+ plots.h_ptbal = bookHisto1D(6, 1, 1);
}
}
/// Perform the per-event analysis
void analyze(const Event& event) {
// Make sure that we have a Z-candidate:
const Particle *lep1 = NULL, *lep2 = NULL;
//
const vector<DressedLepton>& muons = apply<DressedLeptons>(event, "DressedMuons").dressedLeptons();
if (muons.size() == 2) {
const FourMomentum dimuon = muons[0].mom() + muons[1].mom();
if ( inRange(dimuon.mass()/GeV, 81.0, 101.0) && muons[0].threeCharge() != muons[1].threeCharge() ) {
lep1 = &muons[0];
lep2 = &muons[1];
}
}
//
const vector<DressedLepton>& electrons = apply<DressedLeptons>(event, "DressedElectrons").dressedLeptons();
if (electrons.size() == 2) {
const FourMomentum dielectron = electrons[0].mom() + electrons[1].mom();
if ( inRange(dielectron.mass()/GeV, 81.0, 101.0) && electrons[0].threeCharge() != electrons[1].threeCharge() ) {
if (lep1 && lep2) {
MSG_INFO("Found Z candidates using both electrons and muons! Continuing with the muon-channel candidate");
} else {
lep1 = &electrons[0];
lep2 = &electrons[1];
}
}
}
// If there's no Z-candidate, we won't use this event:
if (!lep1 || !lep2) vetoEvent;
// Do lepton-jet overlap removal:
vector<const Jet*> good_jets;
const Jets& jets = apply<FastJets>(event, "Jets").jetsByPt(Cuts::pT > 25*GeV && Cuts::absrap < 4.4);
foreach(const Jet& j, jets) {
bool nearby_lepton = false;
foreach (const Particle& m, muons)
if (deltaR(j, m) < 0.3) nearby_lepton = true;
foreach (const Particle& e, electrons)
if (deltaR(j, e) < 0.3) nearby_lepton = true;
if (!nearby_lepton)
good_jets.push_back(&j);
}
// If we don't have at least 2 good jets, we won't use this event.
if (good_jets.size() < 2) vetoEvent;
// Plotting, using variables and histo classes calculated by the Variables object constructor
Variables vars(good_jets, lep1, lep2);
bool pass_baseline = (vars.jet1pt > 55.0*GeV && vars.jet2pt > 45.0*GeV);
bool pass_highpt = (vars.jet1pt > 85.0*GeV && vars.jet2pt > 75.0*GeV);
bool pass_highmass = (pass_baseline && vars.mjj > 1000.0*GeV);
bool pass_search = (pass_baseline && vars.zpt > 20.0*GeV && vars.ngapjets == 0 && vars.ptbalance2 < 0.15 && vars.mjj > 250.0*GeV);
bool pass_control = (pass_baseline && vars.zpt > 20.0*GeV && vars.ngapjets > 0 && vars.ptbalance3 < 0.15 && vars.mjj > 250.0*GeV);
//
const double weight = event.weight();
if (pass_baseline) fillPlots(vars, baseline_plots, "baseline", weight);
if (pass_highpt) fillPlots(vars, highpt_plots, "highpt", weight);
if (pass_highmass) fillPlots(vars, highmass_plots, "highmass", weight);
if (pass_search) fillPlots(vars, search_plots, "search", weight);
if (pass_control) fillPlots(vars, control_plots, "control", weight);
}
void fillPlots(const Variables& vars, Plots& plots, string phase_space, double weight) {
if (phase_space == "baseline" || phase_space == "highpt" || phase_space == "search" || phase_space == "control") {
plots.h_dy->fill(vars.deltay, weight);
plots.h_mjj->fill(vars.mjj, weight);
}
if (phase_space == "baseline" || phase_space == "highpt") {
if (vars.pass_jetveto) {
plots.h_jetveto_dy_veto->fill(vars.deltay, weight);
plots.h_jetveto_mjj_veto->fill(vars.mjj, weight);
}
plots.h_jetveto_dy_inc->fill(vars.deltay, weight);
plots.h_jetveto_mjj_inc->fill(vars.mjj, weight);
if (vars.pass_ptbaleff) {
plots.h_ptbaleff_mjj_veto->fill(vars.mjj, weight);
plots.h_ptbaleff_dy_veto->fill(vars.deltay, weight);
}
plots.h_ptbaleff_mjj_inc->fill(vars.mjj, weight);
plots.h_ptbaleff_dy_inc->fill(vars.deltay, weight);
plots.p_avgnjets_dy->fill(vars.deltay, vars.ngapjets, weight);
plots.p_avgnjets_mjj->fill(vars.mjj, vars.ngapjets, weight);
}
if (phase_space == "highmass") {
plots.h_njets->fill(vars.ngapjets, weight);
plots.h_dphijj->fill(vars.deltaphijj, weight);
plots.h_ptbal->fill(vars.ptbalance2, weight);
}
}
/// Normalise histograms etc., after the run
void finalize() {
finalizePlots(baseline_plots);
finalizePlots(highpt_plots);
finalizePlots(search_plots);
finalizePlots(control_plots);
finalizePlots(highmass_plots);
finalizeEfficiencies(baseline_plots);
finalizeEfficiencies(highpt_plots);
}
void finalizePlots(Plots& plots) {
if (plots.h_dy) normalize(plots.h_dy);
if (plots.h_mjj) normalize(plots.h_mjj);
if (plots.h_dphijj) normalize(plots.h_dphijj);
if (plots.h_njets) normalize(plots.h_njets);
if (plots.h_ptbal) normalize(plots.h_ptbal);
}
void finalizeEfficiencies(Plots& plots) {
- int region_index = 0;
- if (plots.label=="baseline") region_index = 1;
- else if (plots.label=="highpt") region_index = 2;
- else return;
- if (plots.h_jetveto_mjj_veto && plots.h_jetveto_mjj_inc) divide(plots.h_jetveto_mjj_veto, plots.h_jetveto_mjj_inc, bookScatter2D(region_index, 1, 2));
- getScatter2D(region_index, 1, 2)->addAnnotation("InclusiveSumWeights", plots.h_jetveto_mjj_inc->integral());
+ if (plots.label != "baseline" && plots.label != "highpt") return;
+ size_t offset = plots.label == "baseline"? 0 : 10;
+
+ if (plots.h_jetveto_mjj_veto && plots.h_jetveto_mjj_inc) divide(plots.h_jetveto_mjj_veto, plots.h_jetveto_mjj_inc, bookScatter2D(8 + offset, 1, 2));
+ getScatter2D(8 + offset, 1, 2)->addAnnotation("InclusiveSumWeights", plots.h_jetveto_mjj_inc->integral());
removeAnalysisObject(plots.h_jetveto_mjj_veto); removeAnalysisObject(plots.h_jetveto_mjj_inc);
- if (plots.h_jetveto_dy_veto && plots.h_jetveto_dy_inc) divide(plots.h_jetveto_dy_veto, plots.h_jetveto_dy_inc, bookScatter2D(region_index, 2, 2));
- getScatter2D(region_index, 2, 2)->addAnnotation("InclusiveSumWeights", plots.h_jetveto_dy_inc->integral());
+ if (plots.h_jetveto_dy_veto && plots.h_jetveto_dy_inc) divide(plots.h_jetveto_dy_veto, plots.h_jetveto_dy_inc, bookScatter2D(9 + offset, 2, 2));
+ getScatter2D(9 + offset, 2, 2)->addAnnotation("InclusiveSumWeights", plots.h_jetveto_dy_inc->integral());
removeAnalysisObject(plots.h_jetveto_dy_veto); removeAnalysisObject(plots.h_jetveto_dy_inc);
- if (plots.h_ptbaleff_mjj_veto && plots.h_ptbaleff_mjj_inc) divide(plots.h_ptbaleff_mjj_veto, plots.h_ptbaleff_mjj_inc, bookScatter2D(region_index, 1, 3));
- getScatter2D(region_index, 1, 3)->addAnnotation("InclusiveSumWeights", plots.h_ptbaleff_mjj_inc->integral());
+ if (plots.h_ptbaleff_mjj_veto && plots.h_ptbaleff_mjj_inc) divide(plots.h_ptbaleff_mjj_veto, plots.h_ptbaleff_mjj_inc, bookScatter2D(12 + offset, 1, 3));
+ getScatter2D(12 + offset, 1, 3)->addAnnotation("InclusiveSumWeights", plots.h_ptbaleff_mjj_inc->integral());
removeAnalysisObject(plots.h_ptbaleff_mjj_veto); removeAnalysisObject(plots.h_ptbaleff_mjj_inc);
- if (plots.h_ptbaleff_dy_veto && plots.h_ptbaleff_dy_inc) divide(plots.h_ptbaleff_dy_veto, plots.h_ptbaleff_dy_inc, bookScatter2D(region_index, 2, 3));
- getScatter2D(region_index, 2, 3)->addAnnotation("InclusiveSumWeights", plots.h_ptbaleff_dy_inc->integral());
+ if (plots.h_ptbaleff_dy_veto && plots.h_ptbaleff_dy_inc) divide(plots.h_ptbaleff_dy_veto, plots.h_ptbaleff_dy_inc, bookScatter2D(13 + offset, 2, 3));
+ getScatter2D(13 + offset, 2, 3)->addAnnotation("InclusiveSumWeights", plots.h_ptbaleff_dy_inc->integral());
removeAnalysisObject(plots.h_ptbaleff_dy_veto); removeAnalysisObject(plots.h_ptbaleff_dy_inc);
}
//@}
private:
//Variables* vars;
Plots baseline_plots;
Plots highpt_plots;
Plots search_plots;
Plots control_plots;
Plots highmass_plots;
};
DECLARE_RIVET_PLUGIN(ATLAS_2014_I1279489);
}
diff --git a/analyses/pluginATLAS/ATLAS_2014_I1279489.plot b/analyses/pluginATLAS/ATLAS_2014_I1279489.plot
--- a/analyses/pluginATLAS/ATLAS_2014_I1279489.plot
+++ b/analyses/pluginATLAS/ATLAS_2014_I1279489.plot
@@ -1,166 +1,162 @@
-# # BEGIN PLOT /ATLAS_2014_I1279489/d0.*-x0.*-y0.*
-# RatioPlotMode=default
-# # END PLOT
-
## MJJ BASELINE
# BEGIN PLOT /ATLAS_2014_I1279489/d01-x01-y01
Title=m$_{\text{jj}}$ in the baseline region
XLabel=m$_{\text{jj}}$ [GeV]
YLabel=$\frac{1}{\sigma} \frac{d\sigma}{dm_{\text{jj}}}$
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d01-x01-y02
+# BEGIN PLOT /ATLAS_2014_I1279489/d08-x01-y01
Title=Jet veto efficiency vs. m$_{\text{jj}}$ in the baseline region
XLabel=m$_{\text{jj}}$ [GeV]
YLabel=Jet veto efficiency
LogY=0
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d01-x01-y03
+# BEGIN PLOT /ATLAS_2014_I1279489/d12-x01-y01
Title=$p_{\text{T}}^{\text{balance}}$ cut efficiency vs. m$_{\text{jj}}$ in the baseline region
XLabel=m$_{\text{jj}}$ [GeV]
YLabel=$p_{\text{T}}^{\text{balance}}$
LogY=0
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d01-x01-y04
+# BEGIN PLOT /ATLAS_2014_I1279489/d10-x01-y01
Title=$<N_{\text{jet}}^{\text{gap}}>$ vs. m$_{\text{jj}}$ in the baseline region
XLabel=m$_{\text{jj}}$ [GeV]
YLabel=$<N_{\text{jet}}^{\text{gap}}>$
LogY=0
# END PLOT
## DY BASELINE
-# BEGIN PLOT /ATLAS_2014_I1279489/d01-x02-y01
+# BEGIN PLOT /ATLAS_2014_I1279489/d03-x01-y01
Title=$|\Delta y|$ in the baseline region
XLabel=$|\Delta y|$
YLabel=$\frac{1}{\sigma} \frac{d\sigma}{d|\Delta y|}$
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d01-x02-y02
+# BEGIN PLOT /ATLAS_2014_I1279489/d09-x01-y01
Title=Jet veto efficiency vs. $|\Delta y|$ in the baseline region
XLabel=$|\Delta y|$
YLabel=Jet veto efficiency
LogY=0
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d01-x02-y03
+# BEGIN PLOT /ATLAS_2014_I1279489/d13-x01-y01
Title=$p_{\text{T}}^{\text{balance}}$ cut efficiency vs. $|\Delta y|$ in the baseline region
XLabel=$|\Delta y|$
YLabel=$p_{\text{T}}^{\text{balance}}$
LogY=0
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d01-x02-y04
+# BEGIN PLOT /ATLAS_2014_I1279489/d11-x01-y01
Title=$<N_{\text{jet}}^{\text{gap}}>$ vs. $|\Delta y|$ in the baseline region
XLabel=$|\Delta y|$
YLabel=$<N_{\text{jet}}^{\text{gap}}>$
LogY=0
# END PLOT
## MJJ HIGH-PT
-# BEGIN PLOT /ATLAS_2014_I1279489/d02-x01-y01
+# BEGIN PLOT /ATLAS_2014_I1279489/d14-x01-y01
Title=m$_{\text{jj}}$ in the high-$p_{\text{T}}$ region
XLabel=m$_{\text{jj}}$ [GeV]
YLabel=$\frac{1}{\sigma} \frac{d\sigma}{dm_{\text{jj}}}$
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d02-x01-y02
+# BEGIN PLOT /ATLAS_2014_I1279489/d18-x01-y01
Title=Jet veto efficiency vs. m$_{\text{jj}}$ in the high-$p_{\text{T}}$ region
XLabel=m$_{\text{jj}}$ [GeV]
YLabel=Jet veto efficiency
LogY=0
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d02-x01-y03
+# BEGIN PLOT /ATLAS_2014_I1279489/d22-x01-y01
Title=$p_{\text{T}}^{\text{balance}}$ cut efficiency vs. m$_{\text{jj}}$ in the high-$p_{\text{T}}$ region
XLabel=m$_{\text{jj}}$ [GeV]
YLabel=$p_{\text{T}}^{\text{balance}}$
LogY=0
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d02-x01-y04
+# BEGIN PLOT /ATLAS_2014_I1279489/d20-x01-y01
Title=$<N_{\text{jet}}^{\text{gap}}>$ vs. m$_{\text{jj}}$ in the high-$p_{\text{T}}$ region
XLabel=m$_{\text{jj}}$ [GeV]
YLabel=$<N_{\text{jet}}^{\text{gap}}>$
LogY=0
# END PLOT
## DY HIGH-PT
-# BEGIN PLOT /ATLAS_2014_I1279489/d02-x02-y01
+# BEGIN PLOT /ATLAS_2014_I1279489/d16-x01-y01
Title=$|\Delta y|$ in the high-$p_{\text{T}}$ region
XLabel=$|\Delta y|$
YLabel=$\frac{1}{\sigma} \frac{d\sigma}{d|\Delta y|}$
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d02-x02-y02
+# BEGIN PLOT /ATLAS_2014_I1279489/d19-x01-y01
Title=Jet veto efficiency vs. $|\Delta y|$ in the high-$p_{\text{T}}$ region
XLabel=$|\Delta y|$
YLabel=Jet veto efficiency
LogY=0
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d02-x02-y03
+# BEGIN PLOT /ATLAS_2014_I1279489/d23-x01-y01
Title=$p_{\text{T}}^{\text{balance}}$ cut efficiency vs. $|\Delta y|$ in the high-$p_{\text{T}}$ region
XLabel=$|\Delta y|$
YLabel=$p_{\text{T}}^{\text{balance}}$
LogY=0
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d02-x02-y04
+# BEGIN PLOT /ATLAS_2014_I1279489/d21-x01-y01
Title=$<N_{\text{jet}}^{\text{gap}}>$ vs. $|\Delta y|$ in the high-$p_{\text{T}}$ region
XLabel=$|\Delta y|$
YLabel=$<N_{\text{jet}}^{\text{gap}}>$
LogY=0
# END PLOT
## MJJ SEARCH
-# BEGIN PLOT /ATLAS_2014_I1279489/d03-x01-y01
+# BEGIN PLOT /ATLAS_2014_I1279489/d02-x01-y01
Title=m$_{\text{jj}}$ in the search region
XLabel=m$_{\text{jj}}$ [GeV]
YLabel=$\frac{1}{\sigma} \frac{d\sigma}{dm_{\text{jj}}}$
# END PLOT
## DY SEARCH
-# BEGIN PLOT /ATLAS_2014_I1279489/d03-x02-y01
+# BEGIN PLOT /ATLAS_2014_I1279489/d04-x01-y01
Title=$|\Delta y|$ in the search region
XLabel=$|\Delta y|$
YLabel=$\frac{1}{\sigma} \frac{d\sigma}{d|\Delta y|}$
# END PLOT
## MJJ CONTROL
-# BEGIN PLOT /ATLAS_2014_I1279489/d04-x01-y01
+# BEGIN PLOT /ATLAS_2014_I1279489/d15-x01-y01
Title=m$_{\text{jj}}$ in the control region
XLabel=m$_{\text{jj}}$ [GeV]
YLabel=$\frac{1}{\sigma} \frac{d\sigma}{dm_{\text{jj}}}$
# END PLOT
## DY CONTROL
-# BEGIN PLOT /ATLAS_2014_I1279489/d04-x02-y01
+# BEGIN PLOT /ATLAS_2014_I1279489/d17-x01-y01
Title=$|\Delta y|$ in the control region
XLabel=$|\Delta y|$
YLabel=$\frac{1}{\sigma} \frac{d\sigma}{d|\Delta y|}$
# END PLOT
## HIGH MASS PLOTS
-# BEGIN PLOT /ATLAS_2014_I1279489/d05-x03-y01
+# BEGIN PLOT /ATLAS_2014_I1279489/d05-x01-y01
Title=$N_{\text{jet}}^{\text{gap}}$ in the high-mass region
XLabel=$N_{\text{jet}}^{\text{gap}}$
YLabel=$\frac{1}{\sigma} \frac{d\sigma}{dN_{\text{jet}}^{\text{gap}}}$
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d05-x04-y01
+# BEGIN PLOT /ATLAS_2014_I1279489/d07-x01-y01
Title=$|\Delta\phi(\text{j,j})|/\pi$ in the high-mass region
XLabel=$|\Delta\phi(\text{j,j})|/\pi$
YLabel=$\frac{1}{\sigma} \frac{d\sigma}{d|\Delta\phi(\text{j,j})|}$
# END PLOT
-# BEGIN PLOT /ATLAS_2014_I1279489/d05-x05-y01
+# BEGIN PLOT /ATLAS_2014_I1279489/d06-x01-y01
Title=$p_{\text{T}}^{\text{balance}}$ in the high-mass region
XLabel=$p_{\text{T}}^{\text{balance}}$
YLabel=$\frac{1}{\sigma} \frac{d\sigma}{dp_{\text{T}}^{\text{balance}}}$
# END PLOT
diff --git a/analyses/pluginATLAS/ATLAS_2014_I1279489.yoda b/analyses/pluginATLAS/ATLAS_2014_I1279489.yoda
--- a/analyses/pluginATLAS/ATLAS_2014_I1279489.yoda
+++ b/analyses/pluginATLAS/ATLAS_2014_I1279489.yoda
@@ -1,397 +1,375 @@
BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d01-x01-y01
IsRef: 1
Path: /REF/ATLAS_2014_I1279489/d01-x01-y01
-Title: ~
+Title: doi:10.17182/hepdata.62729.v1/t1
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
1.250000e+02 1.250000e+02 1.250000e+02 2.560000e-03 2.498152e-05 2.830886e-05
3.750000e+02 1.250000e+02 1.250000e+02 1.096000e-03 1.324750e-05 1.171041e-05
6.250000e+02 1.250000e+02 1.250000e+02 2.327000e-04 9.635276e-06 7.688999e-06
8.750000e+02 1.250000e+02 1.250000e+02 6.861000e-05 4.711607e-06 4.273224e-06
1.125000e+03 1.250000e+02 1.250000e+02 2.460000e-05 2.343445e-06 2.351042e-06
1.375000e+03 1.250000e+02 1.250000e+02 9.870000e-06 1.266964e-06 1.317609e-06
1.875000e+03 3.750000e+02 3.750000e+02 2.555000e-06 4.559688e-07 4.935066e-07
2.625000e+03 3.750000e+02 3.750000e+02 2.634000e-07 1.029361e-07 8.574880e-08
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d01-x01-y02
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d02-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d01-x01-y02
-Title: ~
+Path: /REF/ATLAS_2014_I1279489/d02-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t2
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.250000e+02 1.250000e+02 1.250000e+02 8.887000e-01 8.538907e-03 8.350020e-03
-3.750000e+02 1.250000e+02 1.250000e+02 7.442000e-01 1.267124e-02 1.590813e-02
-6.250000e+02 1.250000e+02 1.250000e+02 6.187000e-01 1.852448e-02 2.516504e-02
-8.750000e+02 1.250000e+02 1.250000e+02 5.595000e-01 2.282946e-02 2.348240e-02
-1.125000e+03 1.250000e+02 1.250000e+02 5.382000e-01 2.857885e-02 2.551807e-02
-1.375000e+03 1.250000e+02 1.250000e+02 5.142000e-01 3.531618e-02 3.091876e-02
-1.875000e+03 3.750000e+02 3.750000e+02 5.815000e-01 4.919239e-02 3.713651e-02
-2.625000e+03 3.750000e+02 3.750000e+02 4.454000e-01 1.276315e-01 9.245391e-02
+3.750000e+02 1.250000e+02 1.250000e+02 3.114000e-03 2.205710e-05 2.295290e-05
+6.250000e+02 1.250000e+02 1.250000e+02 6.040000e-04 1.308926e-05 1.485253e-05
+8.750000e+02 1.250000e+02 1.250000e+02 1.721000e-04 7.265831e-06 7.062367e-06
+1.125000e+03 1.250000e+02 1.250000e+02 6.046000e-05 4.314217e-06 3.953660e-06
+1.375000e+03 1.250000e+02 1.250000e+02 2.464000e-05 2.534558e-06 2.302717e-06
+1.875000e+03 3.750000e+02 3.750000e+02 7.150000e-06 8.826894e-07 7.178346e-07
+2.625000e+03 3.750000e+02 3.750000e+02 1.072000e-06 3.347014e-07 3.014277e-07
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d01-x01-y03
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d03-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d01-x01-y03
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-1.250000e+02 1.250000e+02 1.250000e+02 6.798000e-01 5.539272e-03 4.736569e-03
-3.750000e+02 1.250000e+02 1.250000e+02 6.822000e-01 7.800988e-03 8.562113e-03
-6.250000e+02 1.250000e+02 1.250000e+02 6.789000e-01 1.172059e-02 1.565558e-02
-8.750000e+02 1.250000e+02 1.250000e+02 6.832000e-01 1.738104e-02 1.597235e-02
-1.125000e+03 1.250000e+02 1.250000e+02 6.845000e-01 2.306125e-02 2.016270e-02
-1.375000e+03 1.250000e+02 1.250000e+02 7.140000e-01 2.871221e-02 2.690575e-02
-1.875000e+03 3.750000e+02 3.750000e+02 7.108000e-01 3.092013e-02 3.680562e-02
-2.625000e+03 3.750000e+02 3.750000e+02 8.026000e-01 6.762045e-02 8.119752e-02
-END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d01-x01-y04
-IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d01-x01-y04
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-1.250000e+02 1.250000e+02 1.250000e+02 1.235000e-01 1.003666e-02 9.357801e-03
-3.750000e+02 1.250000e+02 1.250000e+02 3.112000e-01 2.367740e-02 1.878412e-02
-6.250000e+02 1.250000e+02 1.250000e+02 5.039000e-01 4.076016e-02 3.430479e-02
-8.750000e+02 1.250000e+02 1.250000e+02 6.213000e-01 4.611241e-02 4.213285e-02
-1.125000e+03 1.250000e+02 1.250000e+02 6.873000e-01 5.290827e-02 5.009652e-02
-1.375000e+03 1.250000e+02 1.250000e+02 7.328000e-01 6.472860e-02 6.279638e-02
-1.875000e+03 3.750000e+02 3.750000e+02 6.602000e-01 7.459531e-02 8.383477e-02
-2.625000e+03 3.750000e+02 3.750000e+02 8.392000e-01 2.154658e-01 2.975928e-01
-END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d01-x02-y01
-IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d01-x02-y01
-Title: ~
+Path: /REF/ATLAS_2014_I1279489/d03-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t3
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
2.500000e-01 2.500000e-01 2.500000e-01 4.214000e-01 5.947978e-03 6.075078e-03
7.500000e-01 2.500000e-01 2.500000e-01 3.984000e-01 5.890584e-03 5.833084e-03
1.250000e+00 2.500000e-01 2.500000e-01 3.404000e-01 4.695915e-03 4.740970e-03
1.750000e+00 2.500000e-01 2.500000e-01 2.769000e-01 2.648272e-03 2.793802e-03
2.250000e+00 2.500000e-01 2.500000e-01 2.112000e-01 1.852101e-03 1.840198e-03
2.750000e+00 2.500000e-01 2.500000e-01 1.467000e-01 2.909705e-03 2.950412e-03
3.500000e+00 5.000000e-01 5.000000e-01 7.513000e-02 3.433315e-03 3.579889e-03
4.500000e+00 5.000000e-01 5.000000e-01 2.194000e-02 2.090522e-03 2.246587e-03
5.500000e+00 5.000000e-01 5.000000e-01 4.854000e-03 8.011151e-04 8.946763e-04
6.500000e+00 5.000000e-01 5.000000e-01 5.647000e-04 1.800778e-04 1.898551e-04
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d01-x02-y02
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d04-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d01-x02-y02
-Title: ~
+Path: /REF/ATLAS_2014_I1279489/d04-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t4
+Type: Scatter2D
+---
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-01 2.500000e-01 2.500000e-01 1.869000e-01 7.429399e-03 5.911746e-03
+7.500000e-01 2.500000e-01 2.500000e-01 1.976000e-01 6.860293e-03 7.268746e-03
+1.250000e+00 2.500000e-01 2.500000e-01 2.243000e-01 7.814854e-03 5.668071e-03
+1.750000e+00 2.500000e-01 2.500000e-01 2.642000e-01 6.057568e-03 6.817987e-03
+2.250000e+00 2.500000e-01 2.500000e-01 3.176000e-01 5.479185e-03 6.210338e-03
+2.750000e+00 2.500000e-01 2.500000e-01 3.133000e-01 7.529901e-03 7.023590e-03
+3.500000e+00 5.000000e-01 5.000000e-01 1.849000e-01 4.803709e-03 5.801467e-03
+4.500000e+00 5.000000e-01 5.000000e-01 5.007000e-02 3.522894e-03 3.463404e-03
+5.500000e+00 5.000000e-01 5.000000e-01 1.150000e-02 1.652245e-03 1.404060e-03
+6.500000e+00 5.000000e-01 5.000000e-01 1.595000e-03 4.263185e-04 3.596836e-04
+END YODA_SCATTER2D_V2
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d05-x01-y01
+IsRef: 1
+Path: /REF/ATLAS_2014_I1279489/d05-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t5
+Type: Scatter2D
+---
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 5.000000e-01 5.000000e-01 5.380000e-01 3.598096e-02 3.342625e-02
+1.500000e+00 5.000000e-01 5.000000e-01 2.928000e-01 1.913900e-02 1.456378e-02
+2.500000e+00 5.000000e-01 5.000000e-01 1.247000e-01 1.436847e-02 1.248994e-02
+4.000000e+00 1.000000e+00 1.000000e+00 2.071000e-02 4.227172e-03 3.855113e-03
+6.500000e+00 1.500000e+00 1.500000e+00 1.017000e-03 4.656540e-04 4.557920e-04
+END YODA_SCATTER2D_V2
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d06-x01-y01
+IsRef: 1
+Path: /REF/ATLAS_2014_I1279489/d06-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t6
+Type: Scatter2D
+---
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.592000e+00 1.838269e-01 1.362589e-01
+2.000000e-01 1.000000e-01 1.000000e-01 1.626000e+00 9.802592e-02 1.416956e-01
+4.000000e-01 1.000000e-01 1.000000e-01 2.789000e-01 4.250024e-02 4.965097e-02
+7.500000e-01 2.500000e-01 2.500000e-01 2.315000e-02 1.647323e-02 1.661436e-02
+END YODA_SCATTER2D_V2
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d07-x01-y01
+IsRef: 1
+Path: /REF/ATLAS_2014_I1279489/d07-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t7
+Type: Scatter2D
+---
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.983000e-01 2.967306e-02 4.067216e-02
+3.000000e-01 1.000000e-01 1.000000e-01 2.410000e-01 2.806468e-02 3.772399e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.259000e-01 4.435377e-02 5.381814e-02
+5.500000e-01 5.000000e-02 5.000000e-02 5.121000e-01 5.735954e-02 6.896803e-02
+6.500000e-01 5.000000e-02 5.000000e-02 8.061000e-01 7.577473e-02 9.612296e-02
+7.500000e-01 5.000000e-02 5.000000e-02 1.143000e+00 8.447402e-02 1.022736e-01
+8.500000e-01 5.000000e-02 5.000000e-02 2.039000e+00 1.025232e-01 9.978726e-02
+9.500000e-01 5.000000e-02 5.000000e-02 4.295000e+00 3.582871e-01 2.131070e-01
+END YODA_SCATTER2D_V2
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d08-x01-y01
+IsRef: 1
+Path: /REF/ATLAS_2014_I1279489/d08-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t8
+Type: Scatter2D
+---
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+02 1.250000e+02 1.250000e+02 8.887000e-01 8.538907e-03 8.350020e-03
+3.750000e+02 1.250000e+02 1.250000e+02 7.442000e-01 1.267124e-02 1.590813e-02
+6.250000e+02 1.250000e+02 1.250000e+02 6.187000e-01 1.852448e-02 2.516504e-02
+8.750000e+02 1.250000e+02 1.250000e+02 5.595000e-01 2.282946e-02 2.348240e-02
+1.125000e+03 1.250000e+02 1.250000e+02 5.382000e-01 2.857885e-02 2.551807e-02
+1.375000e+03 1.250000e+02 1.250000e+02 5.142000e-01 3.531618e-02 3.091876e-02
+1.875000e+03 3.750000e+02 3.750000e+02 5.815000e-01 4.919239e-02 3.713651e-02
+2.625000e+03 3.750000e+02 3.750000e+02 4.454000e-01 1.276315e-01 9.245391e-02
+END YODA_SCATTER2D_V2
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d09-x01-y01
+IsRef: 1
+Path: /REF/ATLAS_2014_I1279489/d09-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t9
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
2.500000e-01 2.500000e-01 2.500000e-01 9.658000e-01 2.258761e-03 3.186660e-03
7.500000e-01 2.500000e-01 2.500000e-01 8.922000e-01 7.945083e-03 7.629711e-03
1.250000e+00 2.500000e-01 2.500000e-01 8.335000e-01 1.108579e-02 1.097805e-02
1.750000e+00 2.500000e-01 2.500000e-01 7.798000e-01 1.238178e-02 1.352570e-02
2.250000e+00 2.500000e-01 2.500000e-01 7.391000e-01 1.283521e-02 1.606552e-02
2.750000e+00 2.500000e-01 2.500000e-01 6.909000e-01 1.284508e-02 1.815860e-02
3.500000e+00 5.000000e-01 5.000000e-01 6.440000e-01 1.345347e-02 2.093129e-02
4.500000e+00 5.000000e-01 5.000000e-01 5.667000e-01 1.704948e-02 2.536435e-02
5.500000e+00 5.000000e-01 5.000000e-01 5.500000e-01 2.764992e-02 3.244397e-02
6.500000e+00 5.000000e-01 5.000000e-01 6.753000e-01 6.828859e-02 6.486486e-02
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d01-x02-y03
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d10-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d01-x02-y03
-Title: ~
+Path: /REF/ATLAS_2014_I1279489/d10-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t10
+Type: Scatter2D
+---
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+02 1.250000e+02 1.250000e+02 1.235000e-01 1.003666e-02 9.357801e-03
+3.750000e+02 1.250000e+02 1.250000e+02 3.112000e-01 2.367740e-02 1.878412e-02
+6.250000e+02 1.250000e+02 1.250000e+02 5.039000e-01 4.076016e-02 3.430479e-02
+8.750000e+02 1.250000e+02 1.250000e+02 6.213000e-01 4.611241e-02 4.213285e-02
+1.125000e+03 1.250000e+02 1.250000e+02 6.873000e-01 5.290827e-02 5.009652e-02
+1.375000e+03 1.250000e+02 1.250000e+02 7.328000e-01 6.472860e-02 6.279638e-02
+1.875000e+03 3.750000e+02 3.750000e+02 6.602000e-01 7.459531e-02 8.383477e-02
+2.625000e+03 3.750000e+02 3.750000e+02 8.392000e-01 2.154658e-01 2.975928e-01
+END YODA_SCATTER2D_V2
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d11-x01-y01
+IsRef: 1
+Path: /REF/ATLAS_2014_I1279489/d11-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t11
+Type: Scatter2D
+---
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-01 2.500000e-01 2.500000e-01 3.615000e-02 3.352611e-03 2.548399e-03
+7.500000e-01 2.500000e-01 2.500000e-01 1.155000e-01 8.961072e-03 9.193894e-03
+1.250000e+00 2.500000e-01 2.500000e-01 1.897000e-01 1.401437e-02 1.547991e-02
+1.750000e+00 2.500000e-01 2.500000e-01 2.608000e-01 1.877429e-02 1.896084e-02
+2.250000e+00 2.500000e-01 2.500000e-01 3.202000e-01 2.366545e-02 1.980449e-02
+2.750000e+00 2.500000e-01 2.500000e-01 3.888000e-01 2.987956e-02 2.160586e-02
+3.500000e+00 5.000000e-01 5.000000e-01 4.601000e-01 3.647780e-02 2.461920e-02
+4.500000e+00 5.000000e-01 5.000000e-01 5.933000e-01 4.852127e-02 3.886572e-02
+5.500000e+00 5.000000e-01 5.000000e-01 6.199000e-01 6.502130e-02 5.721027e-02
+6.500000e+00 5.000000e-01 5.000000e-01 5.449000e-01 1.198905e-01 1.252649e-01
+END YODA_SCATTER2D_V2
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d12-x01-y01
+IsRef: 1
+Path: /REF/ATLAS_2014_I1279489/d12-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t12
+Type: Scatter2D
+---
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+02 1.250000e+02 1.250000e+02 6.798000e-01 5.539272e-03 4.736569e-03
+3.750000e+02 1.250000e+02 1.250000e+02 6.822000e-01 7.800988e-03 8.562113e-03
+6.250000e+02 1.250000e+02 1.250000e+02 6.789000e-01 1.172059e-02 1.565558e-02
+8.750000e+02 1.250000e+02 1.250000e+02 6.832000e-01 1.738104e-02 1.597235e-02
+1.125000e+03 1.250000e+02 1.250000e+02 6.845000e-01 2.306125e-02 2.016270e-02
+1.375000e+03 1.250000e+02 1.250000e+02 7.140000e-01 2.871221e-02 2.690575e-02
+1.875000e+03 3.750000e+02 3.750000e+02 7.108000e-01 3.092013e-02 3.680562e-02
+2.625000e+03 3.750000e+02 3.750000e+02 8.026000e-01 6.762045e-02 8.119752e-02
+END YODA_SCATTER2D_V2
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d13-x01-y01
+IsRef: 1
+Path: /REF/ATLAS_2014_I1279489/d13-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t13
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
2.500000e-01 2.500000e-01 2.500000e-01 6.905000e-01 5.021447e-03 4.826039e-03
7.500000e-01 2.500000e-01 2.500000e-01 6.846000e-01 4.498744e-03 5.008048e-03
1.250000e+00 2.500000e-01 2.500000e-01 6.879000e-01 5.386589e-03 5.457864e-03
1.750000e+00 2.500000e-01 2.500000e-01 6.915000e-01 6.705394e-03 6.222773e-03
2.250000e+00 2.500000e-01 2.500000e-01 6.780000e-01 8.579212e-03 7.761404e-03
2.750000e+00 2.500000e-01 2.500000e-01 6.621000e-01 1.024243e-02 9.305551e-03
3.500000e+00 5.000000e-01 5.000000e-01 6.471000e-01 1.132520e-02 1.121392e-02
4.500000e+00 5.000000e-01 5.000000e-01 6.090000e-01 1.499571e-02 1.614052e-02
5.500000e+00 5.000000e-01 5.000000e-01 6.101000e-01 3.303124e-02 2.975323e-02
6.500000e+00 5.000000e-01 5.000000e-01 5.904000e-01 6.435959e-02 6.685285e-02
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d01-x02-y04
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d14-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d01-x02-y04
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-2.500000e-01 2.500000e-01 2.500000e-01 3.615000e-02 3.352611e-03 2.548399e-03
-7.500000e-01 2.500000e-01 2.500000e-01 1.155000e-01 8.961072e-03 9.193894e-03
-1.250000e+00 2.500000e-01 2.500000e-01 1.897000e-01 1.401437e-02 1.547991e-02
-1.750000e+00 2.500000e-01 2.500000e-01 2.608000e-01 1.877429e-02 1.896084e-02
-2.250000e+00 2.500000e-01 2.500000e-01 3.202000e-01 2.366545e-02 1.980449e-02
-2.750000e+00 2.500000e-01 2.500000e-01 3.888000e-01 2.987956e-02 2.160586e-02
-3.500000e+00 5.000000e-01 5.000000e-01 4.601000e-01 3.647780e-02 2.461920e-02
-4.500000e+00 5.000000e-01 5.000000e-01 5.933000e-01 4.852127e-02 3.886572e-02
-5.500000e+00 5.000000e-01 5.000000e-01 6.199000e-01 6.502130e-02 5.721027e-02
-6.500000e+00 5.000000e-01 5.000000e-01 5.449000e-01 1.198905e-01 1.252649e-01
-END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d02-x01-y01
-IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d02-x01-y01
-Title: ~
+Path: /REF/ATLAS_2014_I1279489/d14-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t14
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
1.250000e+02 1.250000e+02 1.250000e+02 1.391000e-03 2.314173e-05 3.022268e-05
3.750000e+02 1.250000e+02 1.250000e+02 1.883000e-03 1.470480e-05 2.035220e-05
6.250000e+02 1.250000e+02 1.250000e+02 4.780000e-04 1.281046e-05 8.740889e-06
8.750000e+02 1.250000e+02 1.250000e+02 1.505000e-04 8.069769e-06 5.420112e-06
1.125000e+03 1.250000e+02 1.250000e+02 5.499000e-05 4.824348e-06 3.389001e-06
1.375000e+03 1.250000e+02 1.250000e+02 2.296000e-05 3.344464e-06 2.178016e-06
1.875000e+03 3.750000e+02 3.750000e+02 6.147000e-06 9.180073e-07 8.797146e-07
2.625000e+03 3.750000e+02 3.750000e+02 5.663000e-07 1.656878e-07 1.665280e-07
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d02-x01-y02
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d15-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d02-x01-y02
-Title: ~
+Path: /REF/ATLAS_2014_I1279489/d15-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t15
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.250000e+02 1.250000e+02 1.250000e+02 8.888000e-01 7.370063e-03 7.690566e-03
-3.750000e+02 1.250000e+02 1.250000e+02 7.651000e-01 1.320066e-02 1.440416e-02
-6.250000e+02 1.250000e+02 1.250000e+02 6.345000e-01 1.977932e-02 1.964623e-02
-8.750000e+02 1.250000e+02 1.250000e+02 5.644000e-01 2.160711e-02 2.366118e-02
-1.125000e+03 1.250000e+02 1.250000e+02 5.361000e-01 2.988515e-02 3.037218e-02
-1.375000e+03 1.250000e+02 1.250000e+02 5.210000e-01 4.161593e-02 4.267933e-02
-1.875000e+03 3.750000e+02 3.750000e+02 5.475000e-01 5.814126e-02 4.919773e-02
-2.625000e+03 3.750000e+02 3.750000e+02 3.375000e-01 1.062449e-01 1.046698e-01
+3.750000e+02 1.250000e+02 1.250000e+02 2.628000e-03 3.743178e-05 4.702788e-05
+6.250000e+02 1.250000e+02 1.250000e+02 8.523000e-04 2.636905e-05 1.728765e-05
+8.750000e+02 1.250000e+02 1.250000e+02 3.094000e-04 1.543101e-05 1.319555e-05
+1.125000e+03 1.250000e+02 1.250000e+02 1.179000e-04 8.610318e-06 9.452623e-06
+1.375000e+03 1.250000e+02 1.250000e+02 5.413000e-05 5.623770e-06 7.405563e-06
+1.875000e+03 3.750000e+02 3.750000e+02 1.157000e-05 1.792969e-06 2.102441e-06
+2.625000e+03 3.750000e+02 3.750000e+02 1.134000e-06 4.268335e-07 4.253285e-07
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d02-x01-y03
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d16-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d02-x01-y03
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-1.250000e+02 1.250000e+02 1.250000e+02 6.781000e-01 6.084042e-03 8.112963e-03
-3.750000e+02 1.250000e+02 1.250000e+02 6.998000e-01 7.360891e-03 7.552619e-03
-6.250000e+02 1.250000e+02 1.250000e+02 7.054000e-01 8.678350e-03 9.270770e-03
-8.750000e+02 1.250000e+02 1.250000e+02 7.011000e-01 1.334144e-02 1.457368e-02
-1.125000e+03 1.250000e+02 1.250000e+02 6.997000e-01 1.883759e-02 2.065878e-02
-1.375000e+03 1.250000e+02 1.250000e+02 7.371000e-01 2.791855e-02 2.924149e-02
-1.875000e+03 3.750000e+02 3.750000e+02 7.361000e-01 4.164218e-02 3.974701e-02
-2.625000e+03 3.750000e+02 3.750000e+02 7.082000e-01 1.105269e-01 1.097044e-01
-END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d02-x01-y04
-IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d02-x01-y04
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-1.250000e+02 1.250000e+02 1.250000e+02 1.260000e-01 9.951274e-03 1.106812e-02
-3.750000e+02 1.250000e+02 1.250000e+02 2.863000e-01 2.148920e-02 2.035780e-02
-6.250000e+02 1.250000e+02 1.250000e+02 4.908000e-01 3.577600e-02 3.664099e-02
-8.750000e+02 1.250000e+02 1.250000e+02 6.247000e-01 4.442955e-02 4.377382e-02
-1.125000e+03 1.250000e+02 1.250000e+02 7.112000e-01 5.728380e-02 5.976408e-02
-1.375000e+03 1.250000e+02 1.250000e+02 7.465000e-01 7.691484e-02 8.808622e-02
-1.875000e+03 3.750000e+02 3.750000e+02 7.195000e-01 1.000438e-01 1.289894e-01
-2.625000e+03 3.750000e+02 3.750000e+02 1.047000e+00 2.738760e-01 2.584592e-01
-END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d02-x02-y01
-IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d02-x02-y01
-Title: ~
+Path: /REF/ATLAS_2014_I1279489/d16-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t16
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
2.500000e-01 2.500000e-01 2.500000e-01 4.419000e-01 5.799262e-03 5.687815e-03
7.500000e-01 2.500000e-01 2.500000e-01 4.122000e-01 5.330716e-03 6.099974e-03
1.250000e+00 2.500000e-01 2.500000e-01 3.610000e-01 4.421201e-03 5.338816e-03
1.750000e+00 2.500000e-01 2.500000e-01 2.847000e-01 3.307069e-03 3.655056e-03
2.250000e+00 2.500000e-01 2.500000e-01 2.087000e-01 3.003496e-03 3.033268e-03
2.750000e+00 2.500000e-01 2.500000e-01 1.348000e-01 3.567930e-03 3.162317e-03
3.500000e+00 5.000000e-01 5.000000e-01 6.000000e-02 3.304939e-03 2.571125e-03
4.500000e+00 5.000000e-01 5.000000e-01 1.531000e-02 1.767093e-03 1.339681e-03
5.500000e+00 5.000000e-01 5.000000e-01 3.005000e-03 6.057672e-04 4.759772e-04
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d02-x02-y02
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d17-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d02-x02-y02
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-2.500000e-01 2.500000e-01 2.500000e-01 9.526000e-01 4.581424e-03 4.564225e-03
-7.500000e-01 2.500000e-01 2.500000e-01 8.553000e-01 1.102175e-02 1.011425e-02
-1.250000e+00 2.500000e-01 2.500000e-01 7.648000e-01 1.469842e-02 1.332464e-02
-1.750000e+00 2.500000e-01 2.500000e-01 7.147000e-01 1.690683e-02 1.642657e-02
-2.250000e+00 2.500000e-01 2.500000e-01 6.587000e-01 1.751501e-02 1.869318e-02
-2.750000e+00 2.500000e-01 2.500000e-01 5.989000e-01 1.756607e-02 2.094095e-02
-3.500000e+00 5.000000e-01 5.000000e-01 5.527000e-01 1.741419e-02 2.245520e-02
-4.500000e+00 5.000000e-01 5.000000e-01 5.339000e-01 2.500345e-02 2.908750e-02
-5.500000e+00 5.000000e-01 5.000000e-01 6.093000e-01 5.422277e-02 6.282112e-02
-END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d02-x02-y03
-IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d02-x02-y03
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-2.500000e-01 2.500000e-01 2.500000e-01 7.056000e-01 9.322245e-03 1.024302e-02
-7.500000e-01 2.500000e-01 2.500000e-01 7.008000e-01 6.437850e-03 8.250223e-03
-1.250000e+00 2.500000e-01 2.500000e-01 6.966000e-01 6.124805e-03 7.325207e-03
-1.750000e+00 2.500000e-01 2.500000e-01 6.980000e-01 7.120200e-03 7.244653e-03
-2.250000e+00 2.500000e-01 2.500000e-01 6.768000e-01 8.967306e-03 8.781166e-03
-2.750000e+00 2.500000e-01 2.500000e-01 6.752000e-01 1.098731e-02 1.102155e-02
-3.500000e+00 5.000000e-01 5.000000e-01 6.685000e-01 1.219738e-02 1.196511e-02
-4.500000e+00 5.000000e-01 5.000000e-01 6.169000e-01 2.004493e-02 2.325936e-02
-5.500000e+00 5.000000e-01 5.000000e-01 6.655000e-01 4.809022e-02 6.382077e-02
-END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d02-x02-y04
-IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d02-x02-y04
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-2.500000e-01 2.500000e-01 2.500000e-01 5.090000e-02 5.605502e-03 4.780375e-03
-7.500000e-01 2.500000e-01 2.500000e-01 1.608000e-01 1.281325e-02 1.260483e-02
-1.250000e+00 2.500000e-01 2.500000e-01 2.806000e-01 1.944999e-02 2.116823e-02
-1.750000e+00 2.500000e-01 2.500000e-01 3.537000e-01 2.468384e-02 2.605113e-02
-2.250000e+00 2.500000e-01 2.500000e-01 4.437000e-01 3.157887e-02 3.125703e-02
-2.750000e+00 2.500000e-01 2.500000e-01 5.382000e-01 3.901098e-02 3.622619e-02
-3.500000e+00 5.000000e-01 5.000000e-01 6.420000e-01 4.376016e-02 4.045669e-02
-4.500000e+00 5.000000e-01 5.000000e-01 7.148000e-01 5.724313e-02 6.193961e-02
-5.500000e+00 5.000000e-01 5.000000e-01 5.932000e-01 1.107918e-01 1.154051e-01
-END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d03-x01-y01
-IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d03-x01-y01
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-3.750000e+02 1.250000e+02 1.250000e+02 3.114000e-03 2.205710e-05 2.295290e-05
-6.250000e+02 1.250000e+02 1.250000e+02 6.040000e-04 1.308926e-05 1.485253e-05
-8.750000e+02 1.250000e+02 1.250000e+02 1.721000e-04 7.265831e-06 7.062367e-06
-1.125000e+03 1.250000e+02 1.250000e+02 6.046000e-05 4.314217e-06 3.953660e-06
-1.375000e+03 1.250000e+02 1.250000e+02 2.464000e-05 2.534558e-06 2.302717e-06
-1.875000e+03 3.750000e+02 3.750000e+02 7.150000e-06 8.826894e-07 7.178346e-07
-2.625000e+03 3.750000e+02 3.750000e+02 1.072000e-06 3.347014e-07 3.014277e-07
-END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d03-x02-y01
-IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d03-x02-y01
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-2.500000e-01 2.500000e-01 2.500000e-01 1.869000e-01 7.429399e-03 5.911746e-03
-7.500000e-01 2.500000e-01 2.500000e-01 1.976000e-01 6.860293e-03 7.268746e-03
-1.250000e+00 2.500000e-01 2.500000e-01 2.243000e-01 7.814854e-03 5.668071e-03
-1.750000e+00 2.500000e-01 2.500000e-01 2.642000e-01 6.057568e-03 6.817987e-03
-2.250000e+00 2.500000e-01 2.500000e-01 3.176000e-01 5.479185e-03 6.210338e-03
-2.750000e+00 2.500000e-01 2.500000e-01 3.133000e-01 7.529901e-03 7.023590e-03
-3.500000e+00 5.000000e-01 5.000000e-01 1.849000e-01 4.803709e-03 5.801467e-03
-4.500000e+00 5.000000e-01 5.000000e-01 5.007000e-02 3.522894e-03 3.463404e-03
-5.500000e+00 5.000000e-01 5.000000e-01 1.150000e-02 1.652245e-03 1.404060e-03
-6.500000e+00 5.000000e-01 5.000000e-01 1.595000e-03 4.263185e-04 3.596836e-04
-END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d04-x01-y01
-IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d04-x01-y01
-Title: ~
-Type: Scatter2D
----
-# xval xerr- xerr+ yval yerr- yerr+
-3.750000e+02 1.250000e+02 1.250000e+02 2.628000e-03 3.743178e-05 4.702788e-05
-6.250000e+02 1.250000e+02 1.250000e+02 8.523000e-04 2.636905e-05 1.728765e-05
-8.750000e+02 1.250000e+02 1.250000e+02 3.094000e-04 1.543101e-05 1.319555e-05
-1.125000e+03 1.250000e+02 1.250000e+02 1.179000e-04 8.610318e-06 9.452623e-06
-1.375000e+03 1.250000e+02 1.250000e+02 5.413000e-05 5.623770e-06 7.405563e-06
-1.875000e+03 3.750000e+02 3.750000e+02 1.157000e-05 1.792969e-06 2.102441e-06
-2.625000e+03 3.750000e+02 3.750000e+02 1.134000e-06 4.268335e-07 4.253285e-07
-END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d04-x02-y01
-IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d04-x02-y01
-Title: ~
+Path: /REF/ATLAS_2014_I1279489/d17-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t17
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
2.500000e-01 2.500000e-01 2.500000e-01 3.155000e-02 2.684549e-03 2.536409e-03
7.500000e-01 2.500000e-01 2.500000e-01 1.025000e-01 5.521914e-03 7.202364e-03
1.250000e+00 2.500000e-01 2.500000e-01 1.909000e-01 8.214556e-03 9.813037e-03
1.750000e+00 2.500000e-01 2.500000e-01 2.780000e-01 1.110459e-02 1.249825e-02
2.250000e+00 2.500000e-01 2.500000e-01 3.266000e-01 9.325931e-03 9.145135e-03
2.750000e+00 2.500000e-01 2.500000e-01 3.626000e-01 9.949208e-03 9.253909e-03
3.500000e+00 5.000000e-01 5.000000e-01 2.437000e-01 6.859092e-03 6.218492e-03
4.500000e+00 5.000000e-01 5.000000e-01 8.786000e-02 5.955376e-03 5.470576e-03
5.500000e+00 5.000000e-01 5.000000e-01 2.097000e-02 2.792881e-03 2.640553e-03
6.500000e+00 5.000000e-01 5.000000e-01 1.349000e-03 4.625916e-04 4.383164e-04
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d05-x03-y01
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d18-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d05-x03-y01
-Title: ~
+Path: /REF/ATLAS_2014_I1279489/d18-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t18
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-5.000000e-01 5.000000e-01 5.000000e-01 5.380000e-01 3.598096e-02 3.342625e-02
-1.500000e+00 5.000000e-01 5.000000e-01 2.928000e-01 1.913900e-02 1.456378e-02
-2.500000e+00 5.000000e-01 5.000000e-01 1.247000e-01 1.436847e-02 1.248994e-02
-4.000000e+00 1.000000e+00 1.000000e+00 2.071000e-02 4.227172e-03 3.855113e-03
-6.500000e+00 1.500000e+00 1.500000e+00 1.017000e-03 4.656540e-04 4.557920e-04
+1.250000e+02 1.250000e+02 1.250000e+02 8.888000e-01 7.370063e-03 7.690566e-03
+3.750000e+02 1.250000e+02 1.250000e+02 7.651000e-01 1.320066e-02 1.440416e-02
+6.250000e+02 1.250000e+02 1.250000e+02 6.345000e-01 1.977932e-02 1.964623e-02
+8.750000e+02 1.250000e+02 1.250000e+02 5.644000e-01 2.160711e-02 2.366118e-02
+1.125000e+03 1.250000e+02 1.250000e+02 5.361000e-01 2.988515e-02 3.037218e-02
+1.375000e+03 1.250000e+02 1.250000e+02 5.210000e-01 4.161593e-02 4.267933e-02
+1.875000e+03 3.750000e+02 3.750000e+02 5.475000e-01 5.814126e-02 4.919773e-02
+2.625000e+03 3.750000e+02 3.750000e+02 3.375000e-01 1.062449e-01 1.046698e-01
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d05-x04-y01
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d19-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d05-x04-y01
-Title: ~
+Path: /REF/ATLAS_2014_I1279489/d19-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t19
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-1.000000e-01 1.000000e-01 1.000000e-01 1.983000e-01 2.967306e-02 4.067216e-02
-3.000000e-01 1.000000e-01 1.000000e-01 2.410000e-01 2.806468e-02 3.772399e-02
-4.500000e-01 5.000000e-02 5.000000e-02 3.259000e-01 4.435377e-02 5.381814e-02
-5.500000e-01 5.000000e-02 5.000000e-02 5.121000e-01 5.735954e-02 6.896803e-02
-6.500000e-01 5.000000e-02 5.000000e-02 8.061000e-01 7.577473e-02 9.612296e-02
-7.500000e-01 5.000000e-02 5.000000e-02 1.143000e+00 8.447402e-02 1.022736e-01
-8.500000e-01 5.000000e-02 5.000000e-02 2.039000e+00 1.025232e-01 9.978726e-02
-9.500000e-01 5.000000e-02 5.000000e-02 4.295000e+00 3.582871e-01 2.131070e-01
+2.500000e-01 2.500000e-01 2.500000e-01 9.526000e-01 4.581424e-03 4.564225e-03
+7.500000e-01 2.500000e-01 2.500000e-01 8.553000e-01 1.102175e-02 1.011425e-02
+1.250000e+00 2.500000e-01 2.500000e-01 7.648000e-01 1.469842e-02 1.332464e-02
+1.750000e+00 2.500000e-01 2.500000e-01 7.147000e-01 1.690683e-02 1.642657e-02
+2.250000e+00 2.500000e-01 2.500000e-01 6.587000e-01 1.751501e-02 1.869318e-02
+2.750000e+00 2.500000e-01 2.500000e-01 5.989000e-01 1.756607e-02 2.094095e-02
+3.500000e+00 5.000000e-01 5.000000e-01 5.527000e-01 1.741419e-02 2.245520e-02
+4.500000e+00 5.000000e-01 5.000000e-01 5.339000e-01 2.500345e-02 2.908750e-02
+5.500000e+00 5.000000e-01 5.000000e-01 6.093000e-01 5.422277e-02 6.282112e-02
END YODA_SCATTER2D_V2
-
-BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d05-x05-y01
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d20-x01-y01
IsRef: 1
-Path: /REF/ATLAS_2014_I1279489/d05-x05-y01
-Title: ~
+Path: /REF/ATLAS_2014_I1279489/d20-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t20
Type: Scatter2D
---
# xval xerr- xerr+ yval yerr- yerr+
-5.000000e-02 5.000000e-02 5.000000e-02 4.592000e+00 1.838269e-01 1.362589e-01
-2.000000e-01 1.000000e-01 1.000000e-01 1.626000e+00 9.802592e-02 1.416956e-01
-4.000000e-01 1.000000e-01 1.000000e-01 2.789000e-01 4.250024e-02 4.965097e-02
-7.500000e-01 2.500000e-01 2.500000e-01 2.315000e-02 1.647323e-02 1.661436e-02
+1.250000e+02 1.250000e+02 1.250000e+02 1.260000e-01 9.951274e-03 1.106812e-02
+3.750000e+02 1.250000e+02 1.250000e+02 2.863000e-01 2.148920e-02 2.035780e-02
+6.250000e+02 1.250000e+02 1.250000e+02 4.908000e-01 3.577600e-02 3.664099e-02
+8.750000e+02 1.250000e+02 1.250000e+02 6.247000e-01 4.442955e-02 4.377382e-02
+1.125000e+03 1.250000e+02 1.250000e+02 7.112000e-01 5.728380e-02 5.976408e-02
+1.375000e+03 1.250000e+02 1.250000e+02 7.465000e-01 7.691484e-02 8.808622e-02
+1.875000e+03 3.750000e+02 3.750000e+02 7.195000e-01 1.000438e-01 1.289894e-01
+2.625000e+03 3.750000e+02 3.750000e+02 1.047000e+00 2.738760e-01 2.584592e-01
END YODA_SCATTER2D_V2
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d21-x01-y01
+IsRef: 1
+Path: /REF/ATLAS_2014_I1279489/d21-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t21
+Type: Scatter2D
+---
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-01 2.500000e-01 2.500000e-01 5.090000e-02 5.605502e-03 4.780375e-03
+7.500000e-01 2.500000e-01 2.500000e-01 1.608000e-01 1.281325e-02 1.260483e-02
+1.250000e+00 2.500000e-01 2.500000e-01 2.806000e-01 1.944999e-02 2.116823e-02
+1.750000e+00 2.500000e-01 2.500000e-01 3.537000e-01 2.468384e-02 2.605113e-02
+2.250000e+00 2.500000e-01 2.500000e-01 4.437000e-01 3.157887e-02 3.125703e-02
+2.750000e+00 2.500000e-01 2.500000e-01 5.382000e-01 3.901098e-02 3.622619e-02
+3.500000e+00 5.000000e-01 5.000000e-01 6.420000e-01 4.376016e-02 4.045669e-02
+4.500000e+00 5.000000e-01 5.000000e-01 7.148000e-01 5.724313e-02 6.193961e-02
+5.500000e+00 5.000000e-01 5.000000e-01 5.932000e-01 1.107918e-01 1.154051e-01
+END YODA_SCATTER2D_V2
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d22-x01-y01
+IsRef: 1
+Path: /REF/ATLAS_2014_I1279489/d22-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t22
+Type: Scatter2D
+---
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+02 1.250000e+02 1.250000e+02 6.781000e-01 6.084042e-03 8.112963e-03
+3.750000e+02 1.250000e+02 1.250000e+02 6.998000e-01 7.360891e-03 7.552619e-03
+6.250000e+02 1.250000e+02 1.250000e+02 7.054000e-01 8.678350e-03 9.270770e-03
+8.750000e+02 1.250000e+02 1.250000e+02 7.011000e-01 1.334144e-02 1.457368e-02
+1.125000e+03 1.250000e+02 1.250000e+02 6.997000e-01 1.883759e-02 2.065878e-02
+1.375000e+03 1.250000e+02 1.250000e+02 7.371000e-01 2.791855e-02 2.924149e-02
+1.875000e+03 3.750000e+02 3.750000e+02 7.361000e-01 4.164218e-02 3.974701e-02
+2.625000e+03 3.750000e+02 3.750000e+02 7.082000e-01 1.105269e-01 1.097044e-01
+END YODA_SCATTER2D_V2
+BEGIN YODA_SCATTER2D_V2 /REF/ATLAS_2014_I1279489/d23-x01-y01
+IsRef: 1
+Path: /REF/ATLAS_2014_I1279489/d23-x01-y01
+Title: doi:10.17182/hepdata.62729.v1/t23
+Type: Scatter2D
+---
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-01 2.500000e-01 2.500000e-01 7.056000e-01 9.322245e-03 1.024302e-02
+7.500000e-01 2.500000e-01 2.500000e-01 7.008000e-01 6.437850e-03 8.250223e-03
+1.250000e+00 2.500000e-01 2.500000e-01 6.966000e-01 6.124805e-03 7.325207e-03
+1.750000e+00 2.500000e-01 2.500000e-01 6.980000e-01 7.120200e-03 7.244653e-03
+2.250000e+00 2.500000e-01 2.500000e-01 6.768000e-01 8.967306e-03 8.781166e-03
+2.750000e+00 2.500000e-01 2.500000e-01 6.752000e-01 1.098731e-02 1.102155e-02
+3.500000e+00 5.000000e-01 5.000000e-01 6.685000e-01 1.219738e-02 1.196511e-02
+4.500000e+00 5.000000e-01 5.000000e-01 6.169000e-01 2.004493e-02 2.325936e-02
+5.500000e+00 5.000000e-01 5.000000e-01 6.655000e-01 4.809022e-02 6.382077e-02
+END YODA_SCATTER2D_V2
diff --git a/bin/make-pgfplots b/bin/make-pgfplots
--- a/bin/make-pgfplots
+++ b/bin/make-pgfplots
@@ -1,2818 +1,2819 @@
#! /usr/bin/env python
"""\
Usage: %prog [options] file.dat [file2.dat ...]
TODO
* Optimise output for e.g. lots of same-height bins in a row
* Add a RatioFullRange directive to show the full range of error bars + MC envelope in the ratio
* Tidy LaTeX-writing code -- faster to compile one doc only, then split it?
* Handle boolean values flexibly (yes, no, true, false, etc. as well as 1, 0)
"""
from __future__ import print_function
##
## This program is copyright by Christian Gutschow <chris.g@cern.ch> and
## the Rivet team https://rivet.hepforge.org. It may be used
## for scientific and private purposes. Patches are welcome, but please don't
## redistribute changed versions yourself.
##
## Check the Python version
import sys
if sys.version_info[:3] < (2,6,0):
print("make-plots requires Python version >= 2.6.0... exiting")
sys.exit(1)
## Try to rename the process on Linux
try:
import ctypes
libc = ctypes.cdll.LoadLibrary('libc.so.6')
libc.prctl(15, 'make-plots', 0, 0, 0)
except Exception as e:
pass
import os, logging, re
import tempfile
import getopt
import string
import copy
from math import *
## Regex patterns
pat_begin_block = re.compile(r'^#+\s*BEGIN ([A-Z0-9_]+) ?(\S+)?')
pat_end_block = re.compile('^#+\s*END ([A-Z0-9_]+)')
pat_comment = re.compile('^#|^\s*$')
pat_property = re.compile('^(\w+?)=(.*)$')
+pat_property_opt = re.compile('^ReplaceOption\[(\w+=\w+)\]=(.*)$')
pat_path_property = re.compile('^(\S+?)::(\w+?)=(.*)$')
pat_options = re.compile(r"((?::\w+=[^:/]+)+)")
def fuzzyeq(a, b, tolerance=1e-6):
"Fuzzy equality comparison function for floats, with given fractional tolerance"
# if type(a) is not float or type(a) is not float:
# print(a, b)
if (a == 0 and abs(b) < 1e-12) or (b == 0 and abs(a) < 1e-12):
return True
return 2.0*abs(a-b) < tolerance * abs(a+b)
def inrange(x, a, b):
return x >= a and x < b
def floatify(x):
if type(x) is str:
x = x.split()
if not hasattr(x, "__len__"):
x = [x]
x = [float(a) for a in x]
return x[0] if len(x) == 1 else x
def floatpair(x):
if type(x) is str:
x = x.split()
if hasattr(x, "__len__"):
assert len(x) == 2
return [float(a) for a in x]
return [float(x), float(x)]
def is_end_marker(line, blockname):
m = pat_end_block.match(line)
return m and m.group(1) == blockname
def is_comment(line):
return pat_comment.match(line) is not None
def checkColor(line):
if '[RGB]' in line:
# e.g. '{[RGB]{1,2,3}}'
if line[0] == '{' and line[-1] == '}': line = line[1:-1]
# i.e. '[RGB]{1,2,3}'
composition = line.split('{')[1][:-1]
# e.g. '1,2,3'
line = '{rgb,255:red,%s;green,%s;blue,%s}' % tuple(composition.split(','))
return line
class Described(object):
"Inherited functionality for objects holding a 'props' dictionary"
def __init__(self):
pass
def has_attr(self, key):
return key in self.props
def set_attr(self, key, val):
self.props[key] = val
def attr(self, key, default=None):
return self.props.get(key, default)
def attr_bool(self, key, default=None):
x = self.attr(key, default)
if str(x).lower() in ["1", "true", "yes", "on"]: return True
if str(x).lower() in ["0", "false", "no", "off"]: return False
return None
def attr_int(self, key, default=None):
x = self.attr(key, default)
try:
x = int(x)
except:
x = None
return x
def attr_float(self, key, default=None):
x = self.attr(key, default)
try:
x = float(x)
except:
x = None
return x
#def doGrid(self, pre = ''):
# grid_major = self.attr_bool(pre + 'Grid', False) or self.attr_bool(pre + 'GridMajor', False)
# grid_minor = self.attr_bool(pre + 'GridMinor', False)
# if grid_major and grid_minor: return 'both'
# elif grid_major: return 'major'
# elif grid_minor: return 'minor'
def ratio_names(self, skipFirst = False):
offset = 1 if skipFirst else 0
return [ ('RatioPlot%s' % (str(i) if i else ''), i) for i in range(skipFirst, 9) ]
def legend_names(self, skipFirst = False):
offset = 1 if skipFirst else 0
return [ ('Legend%s' % (str(i) if i else ''), i) for i in range(skipFirst, 9) ]
class InputData(Described):
def __init__(self, filename):
self.filename=filename
if not self.filename.endswith(".dat"):
self.filename += ".dat"
self.props = {}
self.histos = {}
self.ratios = {}
self.special = {}
self.functions = {}
# not sure what this is good for ... yet
self.histomangler = {}
self.normalised = False
self.props['_OptSubs'] = { }
self.props['is2dim'] = False
# analyse input dat file
f = open(self.filename)
for line in f:
m = pat_begin_block.match(line)
if m:
name, path = m.group(1,2)
if path is None and name != 'PLOT':
raise Exception('BEGIN sections need a path name.')
if name == 'PLOT':
self.read_input(f);
elif name == 'SPECIAL':
self.special[path] = Special(f)
elif name == 'HISTOGRAM' or name == 'HISTOGRAM2D':
self.histos[path] = Histogram(f, p=path)
self.props['is2dim'] = self.histos[path].is2dim
self.histos[path].zlog = self.attr_bool('LogZ')
if self.attr_bool('Is3D', 0):
self.histos[path].zlog = False
if not self.histos[path].getName() == '':
newname = self.histos[path].getName()
self.histos[newname] = copy.deepcopy(self.histos[path])
del self.histos[path]
elif name == 'HISTO1D':
self.histos[path] = Histo1D(f, p=path)
if not self.histos[path].getName() == '':
newname = self.histos[path].getName()
self.histos[newname] = copy.deepcopy(self.histos[path])
del self.histos[path]
elif name == 'HISTO2D':
self.histos[path] = Histo2D(f, p=path)
self.props['is2dim'] = True
self.histos[path].zlog = self.attr_bool('LogZ')
if self.attr_bool('Is3D', 0):
self.histos[path].zlog = False
if not self.histos[path].getName() == '':
newname = self.histos[path].getName()
self.histos[newname] = copy.deepcopy(self.histos[path])
del self.histos[path]
elif name == 'HISTOGRAMMANGLER':
self.histomangler[path] = PlotFunction(f)
elif name == 'COUNTER':
self.histos[path] = Counter(f, p=path)
elif name == 'VALUE':
self.histos[path] = Value(f, p=path)
elif name == 'FUNCTION':
self.functions[path] = Function(f)
f.close()
self.apply_config_files(opts.CONFIGFILES)
self.props.setdefault('PlotSizeX', 10.)
self.props.setdefault('PlotSizeY', 6.)
if self.props['is2dim']:
self.props['PlotSizeX'] -= 1.7
self.props['PlotSizeY'] = 10.
self.props['RatioPlot'] = '0'
if self.props.get('PlotSize', '') != '':
plotsizes = self.props['PlotSize'].split(',')
self.props['PlotSizeX'] = float(plotsizes[0])
self.props['PlotSizeY'] = float(plotsizes[1])
if len(plotsizes) == 3:
self.props['RatioPlotSizeY'] = float(plotsizes[2])
del self.props['PlotSize']
self.props['RatioPlotSizeY'] = 0. # default is no ratio
if self.attr('MainPlot') == '0':
## has RatioPlot, but no MainPlot
self.props['PlotSizeY'] = 0. # size of MainPlot
self.props['RatioPlot'] = '1' #< don't allow both to be zero!
if self.attr_bool('RatioPlot'):
if self.has_attr('RatioPlotYSize') and self.attr('RatioPlotYSize') != '':
self.props['RatioPlotSizeY'] = self.attr_float('RatioPlotYSize')
else:
self.props['RatioPlotSizeY'] = 6. if self.attr_bool('MainPlot') else 3.
if self.props['is2dim']: self.props['RatioPlotSizeY'] *= 2.
for rname, _ in self.ratio_names(True):
if self.attr_bool(rname, False):
if self.props.get(rname+'YSize') != '':
self.props[rname+'SizeY'] = self.attr_float(rname+'YSize')
else:
self.props[rname+'SizeY'] = 3. if self.attr('MainPlot') == '0' else 6.
if self.props['is2dim']: self.props[rname+'SizeY'] *= 2.
## Ensure numbers, not strings
self.props['PlotSizeX'] = float(self.props['PlotSizeX'])
self.props['PlotSizeY'] = float(self.props['PlotSizeY'])
self.props['RatioPlotSizeY'] = float(self.props['RatioPlotSizeY'])
# self.props['TopMargin'] = float(self.props['TopMargin'])
# self.props['BottomMargin'] = float(self.props['BottomMargin'])
self.props['LogX'] = self.attr_bool('LogX', 0)
self.props['LogY'] = self.attr_bool('LogY', 0)
self.props['LogZ'] = self.attr_bool('LogZ', 0)
for rname, _ in self.ratio_names(True):
self.props[rname+'LogY'] = self.attr_bool(rname+'LogY', 0)
self.props[rname+'LogZ'] = self.attr_bool(rname+'LogZ', 0)
if self.has_attr('Rebin'):
for key in self.histos:
self.histos[key].props['Rebin'] = self.props['Rebin']
if self.has_attr('ConnectBins'):
for key in self.histos:
self.histos[key].props['ConnectBins'] = self.props['ConnectBins']
self.histo_sorting('DrawOnly')
for curves, _ in self.ratio_names():
if self.has_attr(curves+'DrawOnly'):
self.histo_sorting(curves+'DrawOnly')
else:
self.props[curves+'DrawOnly'] = self.props['DrawOnly']
## Inherit various values from histograms if not explicitly set
#for k in ['LogX', 'LogY', 'LogZ',
# 'XLabel', 'YLabel', 'ZLabel',
# 'XCustomMajorTicks', 'YCustomMajorTicks', 'ZCustomMajorTicks']:
# self.inherit_from_histos(k)
@property
def is2dim(self):
return self.attr_bool("is2dim", False)
@is2dim.setter
def is2dim(self, val):
self.set_attr("is2dim", val)
@property
def drawonly(self):
x = self.attr("DrawOnly")
if type(x) is str:
self.drawonly = x #< use setter to listify
return x if x else []
@drawonly.setter
def drawonly(self, val):
if type(val) is str:
val = val.strip().split()
self.set_attr("DrawOnly", val)
@property
def stacklist(self):
x = self.attr("Stack")
if type(x) is str:
self.stacklist = x #< use setter to listify
return x if x else []
@stacklist.setter
def stacklist(self, val):
if type(val) is str:
val = val.strip().split()
self.set_attr("Stack", val)
@property
def plotorder(self):
x = self.attr("PlotOrder")
if type(x) is str:
self.plotorder = x #< use setter to listify
return x if x else []
@plotorder.setter
def plotorder(self, val):
if type(val) is str:
val = val.strip().split()
self.set_attr("PlotOrder", val)
@property
def plotsizex(self):
return self.attr_float("PlotSizeX")
@plotsizex.setter
def plotsizex(self, val):
self.set_attr("PlotSizeX", val)
@property
def plotsizey(self):
return self.attr_float("PlotSizeY")
@plotsizey.setter
def plotsizey(self, val):
self.set_attr("PlotSizeY", val)
@property
def plotsize(self):
return [self.plotsizex, self.plotsizey]
@plotsize.setter
def plotsize(self, val):
if type(val) is str:
val = [float(x) for x in val.split(",")]
assert len(val) == 2
self.plotsizex = val[0]
self.plotsizey = val[1]
@property
def ratiosizey(self):
return self.attr_float("RatioPlotSizeY")
@ratiosizey.setter
def ratiosizey(self, val):
self.set_attr("RatioPlotSizeY", val)
@property
def scale(self):
return self.attr_float("Scale")
@scale.setter
def scale(self, val):
self.set_attr("Scale", val)
@property
def xmin(self):
return self.attr_float("XMin")
@xmin.setter
def xmin(self, val):
self.set_attr("XMin", val)
@property
def xmax(self):
return self.attr_float("XMax")
@xmax.setter
def xmax(self, val):
self.set_attr("XMax", val)
@property
def xrange(self):
return [self.xmin, self.xmax]
@xrange.setter
def xrange(self, val):
if type(val) is str:
val = [float(x) for x in val.split(",")]
assert len(val) == 2
self.xmin = val[0]
self.xmax = val[1]
@property
def ymin(self):
return self.attr_float("YMin")
@ymin.setter
def ymin(self, val):
self.set_attr("YMin", val)
@property
def ymax(self):
return self.attr_float("YMax")
@ymax.setter
def ymax(self, val):
self.set_attr("YMax", val)
@property
def yrange(self):
return [self.ymin, self.ymax]
@yrange.setter
def yrange(self, val):
if type(val) is str:
val = [float(y) for y in val.split(",")]
assert len(val) == 2
self.ymin = val[0]
self.ymax = val[1]
# TODO: add more rw properties for plotsize(x,y), ratiosize(y),
# show_mainplot, show_ratioplot, show_legend, log(x,y,z), rebin,
# drawonly, legendonly, plotorder, stack,
# label(x,y,z), majorticks(x,y,z), minorticks(x,y,z),
# min(x,y,z), max(x,y,z), range(x,y,z)
def getLegendPos(self, prefix = ''):
xpos = self.attr_float(prefix+'LegendXPos', 0.95 if self.getLegendAlign() == 'right' else 0.53)
ypos = self.attr_float(prefix+'LegendYPos', 0.93)
return (xpos, ypos)
def getLegendAlign(self, prefix = ''):
la = self.attr(prefix+'LegendAlign', 'left')
if la == 'l': return 'left'
elif la == 'c': return 'center'
elif la == 'r': return 'right'
else: return la
#def inherit_from_histos(self, k):
# """Note: this will inherit the key from a random histogram:
# only use if you're sure all histograms have this key!"""
# if k not in self.props:
# h = list(self.histos.values())[0]
# if k in h.props:
# self.props[k] = h.props[k]
def read_input(self, f):
for line in f:
if is_end_marker(line, 'PLOT'):
break
elif is_comment(line):
continue
m = pat_property.match(line)
m_opt = pat_property_opt.match(line)
if m_opt:
opt_old, opt_new = m_opt.group(1,2)
self.props['_OptSubs'][opt_old.strip()] = opt_new.strip()
elif m:
prop, value = m.group(1,2)
prop = prop.strip()
value = value.strip()
if prop in self.props:
logging.debug("Overwriting property %s = %s -> %s" % (prop, self.props[prop], value))
## Use strip here to deal with DOS newlines containing \r
self.props[prop.strip()] = value.strip()
def apply_config_files(self, conffiles):
"""Use config file to overwrite cosmetic properties."""
if conffiles is not None:
for filename in conffiles:
cf = open(filename, 'r')
lines = cf.readlines()
for i in range(len(lines)):
## First evaluate PLOT sections
m = pat_begin_block.match(lines[i])
if m and m.group(1) == 'PLOT' and re.match(m.group(2),self.filename):
while i<len(lines)-1:
i = i+1
if is_end_marker(lines[i], 'PLOT'):
break
elif is_comment(lines[i]):
continue
m = pat_property.match(lines[i])
if m:
prop, value = m.group(1,2)
if prop in self.props:
logging.debug("Overwriting from conffile property %s = %s -> %s" % (prop, self.props[prop], value))
## Use strip here to deal with DOS newlines containing \r
self.props[prop.strip()] = value.strip()
elif is_comment(lines[i]):
continue
else:
## Then evaluate path-based settings, e.g. for HISTOGRAMs
m = pat_path_property.match(lines[i])
if m:
regex, prop, value = m.group(1,2,3)
for obj_dict in [self.special, self.histos, self.functions]:
for path, obj in obj_dict.items():
if re.match(regex, path):
## Use strip here to deal with DOS newlines containing \r
obj.props.update({prop.strip() : value.strip()})
cf.close()
def histo_sorting(self, curves):
"""Determine in what order to draw curves."""
histoordermap = {}
histolist = self.histos.keys()
if self.has_attr(curves):
histolist = filter(self.histos.keys().count, self.attr(curves).strip().split())
for histo in histolist:
order = 0
if self.histos[histo].has_attr('PlotOrder'):
order = int(self.histos[histo].attr['PlotOrder'])
if not order in histoordermap:
histoordermap[order] = []
histoordermap[order].append(histo)
sortedhistolist = []
for i in sorted(histoordermap.keys()):
sortedhistolist.extend(histoordermap[i])
self.props[curves] = sortedhistolist
class Plot(object):
def __init__(self): #, inputdata):
self.customCols = {}
def panel_header(self, **kwargs):
out = ''
out += ('\\begin{axis}[\n')
out += ('at={(0,%4.3fcm)},\n' % kwargs['PanelOffset'])
out += ('xmode=%s,\n' % kwargs['Xmode'])
out += ('ymode=%s,\n' % kwargs['Ymode'])
#if kwargs['Zmode']: out += ('zmode=log,\n')
out += ('scale only axis=true,\n')
out += ('scaled ticks=false,\n')
out += ('clip marker paths=true,\n')
out += ('axis on top,\n')
out += ('axis line style={line width=0.3pt},\n')
out += ('height=%scm,\n' % kwargs['PanelHeight'])
out += ('width=%scm,\n' % kwargs['PanelWidth'])
out += ('xmin=%s,\n' % kwargs['Xmin'])
out += ('xmax=%s,\n' % kwargs['Xmax'])
out += ('ymin=%s,\n' % kwargs['Ymin'])
out += ('ymax=%s,\n' % kwargs['Ymax'])
if kwargs['is2D']:
out += ('zmin=%s,\n' % kwargs['Zmin'])
out += ('zmax=%s,\n' % kwargs['Zmax'])
#out += ('legend style={\n')
#out += (' draw=none, fill=none, anchor = north west,\n')
#out += (' at={(%4.3f,%4.3f)},\n' % kwargs['LegendPos'])
#out += ('},\n')
#out += ('legend cell align=%s,\n' % kwargs['LegendAlign'])
#out += ('legend image post style={sharp plot, -},\n')
if kwargs['is2D']:
if kwargs['is3D']:
hrotate = 45 + kwargs['HRotate']
vrotate = 30 + kwargs['VRotate']
out += ('view={%i}{%s}, zticklabel pos=right,\n' % (hrotate, vrotate))
else:
out += ('view={0}{90}, colorbar,\n')
out += ('colormap/%s,\n' % kwargs['ColorMap'])
if not kwargs['is3D'] and kwargs['Zmode']:
out += ('colorbar style={yticklabel=$\\,10^{\\pgfmathprintnumber{\\tick}}$},\n')
#if kwargs['Grid']:
# out += ('grid=%s,\n' % kwargs['Grid'])
for axis, label in kwargs['Labels'].iteritems():
out += ('%s={%s},\n' % (axis.lower(), label))
if kwargs['XLabelSep'] != None:
if not kwargs['is3D']:
out += ('xlabel style={at={(1,0)},below left,yshift={-%4.3fcm}},\n' % kwargs['XLabelSep'])
out += ('xticklabel shift=%4.3fcm,\n' % kwargs['XTickShift'])
else:
out += ('xticklabels={,,},\n')
if kwargs['YLabelSep'] != None:
if not kwargs['is3D']:
out += ('ylabel style={at={(0,1)},left,yshift={%4.3fcm}},\n' % kwargs['YLabelSep'])
out += ('yticklabel shift=%4.3fcm,\n' % kwargs['YTickShift'])
out += ('major tick length={%4.3fcm},\n' % kwargs['MajorTickLength'])
out += ('minor tick length={%4.3fcm},\n' % kwargs['MinorTickLength'])
# check if 'number of minor tick divisions' is specified
for axis, nticks in kwargs['MinorTicks'].iteritems():
if nticks:
out += ('minor %s tick num=%i,\n' % (axis.lower(), nticks))
# check if actual major/minor tick divisions have been specified
out += ('max space between ticks=20,\n')
for axis, tickinfo in kwargs['CustomTicks'].iteritems():
majorlabels, majorticks, minorticks = tickinfo
if len(minorticks):
out += ('minor %stick={%s},\n' % (axis.lower(), ','.join(minorticks)))
if len(majorticks):
if float(majorticks[0]) > float(kwargs['%smin' % axis]):
majorticks = [ str(2 * float(majorticks[0]) - float(majorticks[1])) ] + majorticks
if len(majorlabels):
majorlabels = [ '.' ] + majorlabels # dummy label
if float(majorticks[-1]) < float(kwargs['%smax' % axis]):
majorticks.append(str(2 * float(majorticks[-1]) - float(majorticks[-2])))
if len(majorlabels):
majorlabels.append('.') # dummy label
out += ('%stick={%s},\n' % (axis.lower(), ','.join(majorticks)))
if kwargs['NeedsXLabels'] and len(majorlabels):
out += ('%sticklabels={{%s}},\n' % (axis.lower(), '},{'.join(majorlabels)))
out += ('every %s tick/.style={black},\n' % axis.lower())
out += (']\n')
return out
def panel_footer(self):
out = ''
out += ('\\end{axis}\n')
return out
def set_normalisation(self, inputdata):
if inputdata.normalised:
return
for method in ['NormalizeToIntegral', 'NormalizeToSum']:
if inputdata.has_attr(method):
for key in inputdata.props['DrawOnly']:
if not inputdata.histos[key].has_attr(method):
inputdata.histos[key].props[method] = inputdata.props[method]
if inputdata.has_attr('Scale'):
for key in inputdata.props['DrawOnly']:
inputdata.histos[key].props['Scale'] = inputdata.attr_float('Scale')
for key in inputdata.histos.keys():
inputdata.histos[key].mangle_input()
inputdata.normalised = True
def stack_histograms(self, inputdata):
if inputdata.has_attr('Stack'):
stackhists = [h for h in inputdata.attr('Stack').strip().split() if h in inputdata.histos]
previous = ''
for key in stackhists:
if previous != '':
inputdata.histos[key].add(inputdata.histos[previous])
previous = key
def set_histo_options(self, inputdata):
if inputdata.has_attr('ConnectGaps'):
for key in inputdata.histos.keys():
if not inputdata.histos[key].has_attr('ConnectGaps'):
inputdata.histos[i].props['ConnectGaps'] = inputdata.props['ConnectGaps']
# Counter and Value only have dummy x-axis, ticks wouldn't make sense here, so suppress them:
if 'Value object' in str(inputdata.histos) or 'Counter object' in str(inputdata.histos):
inputdata.props['XCustomMajorTicks'] = ''
inputdata.props['XCustomMinorTicks'] = ''
def set_borders(self, inputdata):
self.set_xmax(inputdata)
self.set_xmin(inputdata)
self.set_ymax(inputdata)
self.set_ymin(inputdata)
self.set_zmax(inputdata)
self.set_zmin(inputdata)
inputdata.props['Borders'] = (self.xmin, self.xmax, self.ymin, self.ymax, self.zmin, self.zmax)
def set_xmin(self, inputdata):
self.xmin = inputdata.xmin
if self.xmin is None:
xmins = [inputdata.histos[h].getXMin() for h in inputdata.props['DrawOnly']]
self.xmin = min(xmins) if xmins else 0.0
def set_xmax(self,inputdata):
self.xmax = inputdata.xmax
if self.xmax is None:
xmaxs = [inputdata.histos[h].getXMax() for h in inputdata.props['DrawOnly']]
self.xmax = min(xmaxs) if xmaxs else 1.0
def set_ymin(self,inputdata):
if inputdata.ymin is not None:
self.ymin = inputdata.ymin
else:
ymins = [inputdata.histos[i].getYMin(self.xmin, self.xmax, inputdata.props['LogY']) for i in inputdata.attr('DrawOnly')]
minymin = min(ymins) if ymins else 0.0
if inputdata.props['is2dim']:
self.ymin = minymin
else:
showzero = inputdata.attr_bool("ShowZero", True)
if showzero:
self.ymin = 0. if minymin > -1e-4 else 1.1*minymin
else:
self.ymin = 1.1*minymin if minymin < -1e-4 else 0 if minymin < 1e-4 else 0.9*minymin
if inputdata.props['LogY']:
ymins = [ymin for ymin in ymins if ymin > 0.0]
if not ymins:
if self.ymax == 0:
self.ymax = 1
ymins.append(2e-7*self.ymax)
minymin = min(ymins)
fullrange = opts.FULL_RANGE
if inputdata.has_attr('FullRange'):
fullrange = inputdata.attr_bool('FullRange')
self.ymin = minymin/1.7 if fullrange else max(minymin/1.7, 2e-7*self.ymax)
if self.ymin == self.ymax:
self.ymin -= 1
self.ymax += 1
def set_ymax(self,inputdata):
if inputdata.has_attr('YMax'):
self.ymax = inputdata.attr_float('YMax')
else:
ymaxs = [inputdata.histos[h].getYMax(self.xmin, self.xmax) for h in inputdata.attr('DrawOnly')]
self.ymax = max(ymaxs) if ymaxs else 1.0
if not inputdata.is2dim:
self.ymax *= (1.7 if inputdata.attr_bool('LogY') else 1.1)
def set_zmin(self,inputdata):
if inputdata.has_attr('ZMin'):
self.zmin = inputdata.attr_float('ZMin')
else:
zmins = [inputdata.histos[i].getZMin(self.xmin, self.xmax, self.ymin, self.ymax) for i in inputdata.attr('DrawOnly')]
minzmin = min(zmins) if zmins else 0.0
self.zmin = minzmin
if zmins:
showzero = inputdata.attr_bool('ShowZero', True)
if showzero:
self.zmin = 0 if minzmin > -1e-4 else 1.1*minzmin
else:
self.zmin = 1.1*minzmin if minzmin < -1e-4 else 0. if minzmin < 1e-4 else 0.9*minzmin
if inputdata.attr_bool('LogZ', False):
zmins = [zmin for zmin in zmins if zmin > 0]
if not zmins:
if self.zmax == 0:
self.zmax = 1
zmins.append(2e-7*self.zmax)
minzmin = min(zmins)
fullrange = inputdata.attr_bool("FullRange", opts.FULL_RANGE)
self.zmin = minzmin/1.7 if fullrange else max(minzmin/1.7, 2e-7*self.zmax)
if self.zmin == self.zmax:
self.zmin -= 1
self.zmax += 1
def set_zmax(self,inputdata):
self.zmax = inputdata.attr_float('ZMax')
if self.zmax is None:
zmaxs = [inputdata.histos[h].getZMax(self.xmin, self.xmax, self.ymin, self.ymax) for h in inputdata.attr('DrawOnly')]
self.zmax = max(zmaxs) if zmaxs else 1.0
def getTicks(self, inputdata, axis):
majorticks = []; majorlabels = []
ticktype = '%sCustomMajorTicks' % axis
if inputdata.attr(ticktype):
ticks = inputdata.attr(ticktype).strip().split()
if not len(ticks) % 2:
for i in range(0,len(ticks),2):
majorticks.append(ticks[i])
majorlabels.append(ticks[i+1])
minorticks = []
ticktype = '%sCustomMinorTicks' % axis
if inputdata.attr(ticktype):
ticks = inputdata.attr(ticktype).strip().split()
for val in ticks:
minorticks.append(val)
return (majorlabels, majorticks, minorticks)
def draw(self):
pass
def write_header(self,inputdata):
inputdata.props.setdefault('TopMargin', 0.8)
inputdata.props.setdefault('LeftMargin', 1.4)
inputdata.props.setdefault('BottomMargin', 0.75)
inputdata.props.setdefault('RightMargin', 0.35)
if inputdata.attr('is2dim'):
inputdata.props['RightMargin'] += 1.8
papersizex = inputdata.attr_float('PlotSizeX') + 0.1
papersizex += inputdata.attr_float('LeftMargin') + inputdata.attr_float('RightMargin')
papersizey = inputdata.attr_float('PlotSizeY') + 0.2
papersizey += inputdata.attr_float('TopMargin') + inputdata.attr_float('BottomMargin')
for rname, _ in inputdata.ratio_names():
if inputdata.has_attr(rname+'SizeY'):
papersizey += inputdata.attr_float(rname+'SizeY')
#
out = ""
out += '\\documentclass{article}\n'
if opts.OUTPUT_FONT == "MINION":
out += ('\\usepackage{minion}\n')
elif opts.OUTPUT_FONT == "PALATINO_OSF":
out += ('\\usepackage[osf,sc]{mathpazo}\n')
elif opts.OUTPUT_FONT == "PALATINO":
out += ('\\usepackage{mathpazo}\n')
elif opts.OUTPUT_FONT == "TIMES":
out += ('\\usepackage{mathptmx}\n')
elif opts.OUTPUT_FONT == "HELVETICA":
out += ('\\renewcommand{\\familydefault}{\\sfdefault}\n')
out += ('\\usepackage{sfmath}\n')
out += ('\\usepackage{helvet}\n')
out += ('\\usepackage[symbolgreek]{mathastext}\n')
for pkg in opts.LATEXPKGS:
out += ('\\usepackage{%s}\n' % pkg)
out += ('\\usepackage[dvipsnames]{xcolor}\n')
out += ('\\selectcolormodel{rgb}\n')
out += ('\\definecolor{red}{HTML}{EE3311}\n') # (Google uses 'DC3912')
out += ('\\definecolor{blue}{HTML}{3366FF}\n')
out += ('\\definecolor{green}{HTML}{109618}\n')
out += ('\\definecolor{orange}{HTML}{FF9900}\n')
out += ('\\definecolor{lilac}{HTML}{990099}\n')
out += ('\\usepackage{amsmath}\n')
out += ('\\usepackage{amssymb}\n')
out += ('\\usepackage{relsize}\n')
out += ('\\usepackage{graphicx}\n')
out += ('\\usepackage[dvips,\n')
out += (' left=%4.3fcm,\n' % (inputdata.attr_float('LeftMargin')-0.45))
out += (' right=0cm,\n')
out += (' top=%4.3fcm,\n' % (inputdata.attr_float('TopMargin')-0.70))
out += (' bottom=0cm,\n')
out += (' paperwidth=%scm,paperheight=%scm\n' % (papersizex, papersizey))
out += (']{geometry}\n')
if inputdata.has_attr('DefineColor'):
out += ('% user defined colours\n')
for color in inputdata.attr('DefineColor').split('\t'):
out += ('%s\n' % color)
col_count = 0
for obj in inputdata.histos:
for col in inputdata.histos[obj].customCols:
if col in self.customCols:
# already seen, look up name
inputdata.histos[obj].customCols[col] = self.customCols[col]
elif ']{' in col:
colname = 'MyColour%i' % col_count # assign custom name
inputdata.histos[obj].customCols[col] = colname
self.customCols[col] = colname
col_count += 1
# remove outer {...} if present
while col[0] == '{' and col[-1] == '}': col = col[1:-1]
model, specs = tuple(col[1:-1].split(']{'))
out += ('\\definecolor{%s}{%s}{%s}\n' % (colname, model, specs))
out += ('\\usepackage{pgfplots}\n')
out += ('\\usepgfplotslibrary{fillbetween}\n')
#out += ('\\usetikzlibrary{positioning,shapes.geometric,patterns}\n')
out += ('\\usetikzlibrary{patterns}\n')
out += ('\\pgfplotsset{ compat=1.16,\n')
out += (' title style={at={(0,1)},right,yshift={0.10cm}},\n')
out += ('}\n')
out += ('\\begin{document}\n')
out += ('\\pagestyle{empty}\n')
out += ('\\begin{tikzpicture}[\n')
out += (' inner sep=0,\n')
out += (' trim axis left = %4.3f,\n' % (inputdata.attr_float('LeftMargin') + 0.1))
out += (' trim axis right,\n')
out += (' baseline,')
out += (' hatch distance/.store in=\\hatchdistance,\n')
out += (' hatch distance=8pt,\n')
out += (' hatch thickness/.store in=\\hatchthickness,\n')
out += (' hatch thickness=1pt,\n')
out += (']\n')
out += ('\\makeatletter\n')
out += ('\\pgfdeclarepatternformonly[\hatchdistance,\hatchthickness]{diagonal hatch}\n')
out += ('{\\pgfqpoint{0pt}{0pt}}\n')
out += ('{\\pgfqpoint{\\hatchdistance}{\\hatchdistance}}\n')
out += ('{\\pgfpoint{\\hatchdistance-1pt}{\\hatchdistance-1pt}}%\n')
out += ('{\n')
out += (' \\pgfsetcolor{\\tikz@pattern@color}\n')
out += (' \\pgfsetlinewidth{\\hatchthickness}\n')
out += (' \\pgfpathmoveto{\\pgfqpoint{0pt}{0pt}}\n')
out += (' \\pgfpathlineto{\\pgfqpoint{\\hatchdistance}{\\hatchdistance}}\n')
out += (' \\pgfusepath{stroke}\n')
out += ('}\n')
out += ('\\pgfdeclarepatternformonly[\hatchdistance,\hatchthickness]{antidiagonal hatch}\n')
out += ('{\\pgfqpoint{0pt}{0pt}}\n')
out += ('{\\pgfqpoint{\\hatchdistance}{\\hatchdistance}}\n')
out += ('{\\pgfpoint{\\hatchdistance-1pt}{\\hatchdistance-1pt}}%\n')
out += ('{\n')
out += (' \\pgfsetcolor{\\tikz@pattern@color}\n')
out += (' \\pgfsetlinewidth{\\hatchthickness}\n')
out += (' \\pgfpathmoveto{\\pgfqpoint{0pt}{\\hatchdistance}}\n')
out += (' \\pgfpathlineto{\\pgfqpoint{\\hatchdistance}{0pt}}\n')
out += (' \\pgfusepath{stroke}\n')
out += ('}\n')
out += ('\\pgfdeclarepatternformonly[\hatchdistance,\hatchthickness]{cross hatch}\n')
out += ('{\\pgfqpoint{0pt}{0pt}}\n')
out += ('{\\pgfqpoint{\\hatchdistance}{\\hatchdistance}}\n')
out += ('{\\pgfpoint{\\hatchdistance-1pt}{\\hatchdistance-1pt}}%\n')
out += ('{\n')
out += (' \\pgfsetcolor{\\tikz@pattern@color}\n')
out += (' \\pgfsetlinewidth{\\hatchthickness}\n')
out += (' \\pgfpathmoveto{\\pgfqpoint{0pt}{0pt}}\n')
out += (' \\pgfpathlineto{\\pgfqpoint{\\hatchdistance}{\\hatchdistance}}\n')
out += (' \\pgfusepath{stroke}\n')
out += (' \\pgfsetcolor{\\tikz@pattern@color}\n')
out += (' \\pgfsetlinewidth{\\hatchthickness}\n')
out += (' \\pgfpathmoveto{\\pgfqpoint{0pt}{\\hatchdistance}}\n')
out += (' \\pgfpathlineto{\\pgfqpoint{\\hatchdistance}{0pt}}\n')
out += (' \\pgfusepath{stroke}\n')
out += ('}\n')
out += ('\makeatother\n')
if inputdata.attr_bool('is2dim'):
colorseries = '{hsb}{grad}[rgb]{0,0,1}{-.700,0,0}'
if inputdata.attr('ColorSeries', ''):
colorseries = inputdata.attr('ColorSeries')
out += ('\\definecolorseries{gradientcolors}%s\n' % colorseries)
out += ('\\resetcolorseries[130]{gradientcolors}\n')
return out
def write_footer(self):
out = ""
out += ('\\end{tikzpicture}\n')
out += ('\\end{document}\n')
return out
class MainPlot(Plot):
def __init__(self, inputdata):
self.name = 'MainPlot'
inputdata.props['PlotStage'] = 'MainPlot'
self.set_normalisation(inputdata)
self.stack_histograms(inputdata)
do_gof = inputdata.props.get('GofLegend', '0') == '1' or inputdata.props.get('GofFrame', '') != ''
do_taylor = inputdata.props.get('TaylorPlot', '0') == '1'
if do_gof and not do_taylor:
self.calculate_gof(inputdata)
self.set_histo_options(inputdata)
self.set_borders(inputdata)
self.yoffset = inputdata.props['PlotSizeY']
def draw(self, inputdata):
out = ""
out += ('\n%\n% MainPlot\n%\n')
offset = 0.
for rname, i in inputdata.ratio_names():
if inputdata.has_attr(rname+'SizeY'):
offset += inputdata.attr_float(rname+'SizeY')
labels = self.getLabels(inputdata)
out += self.panel_header(
PanelOffset = offset,
Xmode = 'log' if inputdata.attr_bool('LogX') else 'normal',
Ymode = 'log' if inputdata.attr_bool('LogY') else 'normal',
Zmode = inputdata.attr_bool('LogZ'),
PanelHeight = inputdata.props['PlotSizeY'],
PanelWidth = inputdata.props['PlotSizeX'],
Xmin = self.xmin, Xmax = self.xmax,
Ymin = self.ymin, Ymax = self.ymax,
Zmin = self.zmin, Zmax = self.zmax,
Labels = { l : inputdata.attr(l) for l in labels if inputdata.has_attr(l) },
XLabelSep = inputdata.attr_float('XLabelSep', 0.7) if 'XLabel' in labels else None,
YLabelSep = inputdata.attr_float('YLabelSep', 1.2) if 'YLabel' in labels else None,
XTickShift = inputdata.attr_float('XTickShift', 0.1) if 'XLabel' in labels else None,
YTickShift = inputdata.attr_float('YTickShift', 0.1) if 'YLabel' in labels else None,
MajorTickLength = inputdata.attr_float('MajorTickLength', 0.30),
MinorTickLength = inputdata.attr_float('MinorTickLength', 0.15),
MinorTicks = { axis : inputdata.attr_int('%sMinorTickMarks' % axis, 4) for axis in ['X', 'Y', 'Z'] },
CustomTicks = { axis : self.getTicks(inputdata, axis) for axis in ['X', 'Y', 'Z'] },
NeedsXLabels = self.needsXLabel(inputdata),
#Grid = inputdata.doGrid(),
is2D = inputdata.is2dim,
is3D = inputdata.attr_bool('Is3D', 0),
HRotate = inputdata.attr_int('HRotate', 0),
VRotate = inputdata.attr_int('VRotate', 0),
ColorMap = inputdata.attr('ColorMap', 'jet'),
#LegendAlign = inputdata.getLegendAlign(),
#LegendPos = inputdata.getLegendPos(),
)
out += self.plot_object(inputdata)
out += self.panel_footer()
return out
def plot_object(self, inputdata):
out = ""
if inputdata.attr_bool('DrawSpecialFirst', False):
for s in inputdata.special.values():
out += s.draw(inputdata)
if inputdata.attr_bool('DrawFunctionFirst', False):
for f in inputdata.functions.values():
out += f.draw(inputdata, self.props['Borders'][0], self.props['Borders'][1])
for key in inputdata.props['DrawOnly']:
#add_legend = inputdata.attr_bool('Legend')
out += inputdata.histos[key].draw() #add_legend)
if not inputdata.attr_bool('DrawSpecialFirst', False):
for s in inputdata.special.values():
out += s.draw(inputdata)
if not inputdata.attr_bool('DrawFunctionFirst', False):
for f in inputdata.functions.values():
out += f.draw(inputdata, self.props['Borders'][0], self.props['Borders'][1])
for lname, i in inputdata.legend_names():
if inputdata.attr_bool(lname, False):
legend = Legend(inputdata.props,inputdata.histos,inputdata.functions, lname, i)
out += legend.draw()
return out
def needsXLabel(self, inputdata):
if inputdata.attr('PlotTickLabels') == '0':
return False
# only draw the x-axis label if there are no ratio panels
drawlabels = not any([ inputdata.attr_bool(rname) for rname, _ in inputdata.ratio_names() ])
return drawlabels
def getLabels(self, inputdata):
labels = ['Title', 'YLabel']
if self.needsXLabel(inputdata):
labels.append('XLabel')
if inputdata.props['is2dim']:
labels.append('ZLabel')
return labels
def calculate_gof(self, inputdata):
refdata = inputdata.props.get('GofReference')
if refdata is None:
refdata = inputdata.props.get('RatioPlotReference')
if refdata is None:
inputdata.props['GofLegend'] = '0'
inputdata.props['GofFrame'] = ''
return
def pickcolor(gof):
color = None
colordefs = {}
for i in inputdata.props.setdefault('GofFrameColor', '0:green 3:yellow 6:red!70').strip().split():
foo = i.split(':')
if len(foo) != 2:
continue
colordefs[float(foo[0])] = foo[1]
for col in sorted(colordefs.keys()):
if gof >= col:
color=colordefs[col]
return color
inputdata.props.setdefault('GofLegend', '0')
inputdata.props.setdefault('GofFrame', '')
inputdata.props.setdefault('FrameColor', None)
for key in inputdata.props['DrawOnly']:
if key == refdata:
continue
if inputdata.props['GofLegend'] != '1' and key != inputdata.props['GofFrame']:
continue
if inputdata.props.get('GofType', 'chi2') != 'chi2':
return
gof = inputdata.histos[key].getChi2(inputdata.histos[refdata])
if key == inputdata.props['GofFrame'] and inputdata.props['FrameColor'] is None:
inputdata.props['FrameColor'] = pickcolor(gof)
if inputdata.histos[key].props.setdefault('Title', '') != '':
inputdata.histos[key].props['Title'] += ', '
inputdata.histos[key].props['Title'] += '$\\chi^2/n={}$%1.2f' %gof
class TaylorPlot(Plot):
def __init__(self, inputdata):
self.refdata = inputdata.props['TaylorPlotReference']
self.calculate_taylorcoordinates(inputdata)
def calculate_taylorcoordinates(self,inputdata):
foo = inputdata.props['DrawOnly'].pop(inputdata.props['DrawOnly'].index(self.refdata))
inputdata.props['DrawOnly'].append(foo)
for i in inputdata.props['DrawOnly']:
print(i)
print('meanbinval = ', inputdata.histos[i].getMeanBinValue())
print('sigmabinval = ', inputdata.histos[i].getSigmaBinValue())
print('chi2/nbins = ', inputdata.histos[i].getChi2(inputdata.histos[self.refdata]))
print('correlation = ', inputdata.histos[i].getCorrelation(inputdata.histos[self.refdata]))
print('distance = ', inputdata.histos[i].getRMSdistance(inputdata.histos[self.refdata]))
class RatioPlot(Plot):
def __init__(self, inputdata, i):
self.number = i
self.name='RatioPlot%s' % (str(i) if i else '')
# initialise histograms even when no main plot
self.set_normalisation(inputdata)
self.refdata = inputdata.props[self.name+'Reference']
if not inputdata.histos.has_key(self.refdata):
print('ERROR: %sReference=%s not found in:' % (self.name,self.refdata))
for i in inputdata.histos.keys():
print(' ', i)
sys.exit(1)
if not inputdata.has_attr('RatioPlotYOffset'):
inputdata.props['RatioPlotYOffset'] = inputdata.props['PlotSizeY']
if not inputdata.has_attr(self.name + 'SameStyle'):
inputdata.props[self.name+'SameStyle'] = '1'
self.yoffset = inputdata.props['RatioPlotYOffset'] + inputdata.props[self.name+'SizeY']
inputdata.props['PlotStage'] = self.name
inputdata.props['RatioPlotYOffset'] = self.yoffset
inputdata.props['PlotSizeY'] = inputdata.props[self.name+'SizeY']
inputdata.props['LogY'] = inputdata.props.get(self.name+"LogY", False)
# TODO: It'd be nice it this wasn't so MC-specific
rpmode = inputdata.props.get(self.name+'Mode', "mcdata")
if rpmode=='deviation':
inputdata.props['YLabel']='$(\\text{MC}-\\text{data})$'
inputdata.props['YMin']=-2.99
inputdata.props['YMax']=2.99
elif rpmode=='delta':
inputdata.props['YLabel']='\\delta'
inputdata.props['YMin']=-0.5
inputdata.props['YMax']=0.5
elif rpmode=='deltapercent':
inputdata.props['YLabel']='\\delta\;[\%]'
inputdata.props['YMin']=-50.
inputdata.props['YMax']=50.
elif rpmode=='deltamc':
inputdata.props['YLabel']='Data/MC'
inputdata.props['YMin']=0.5
inputdata.props['YMax']=1.5
else:
inputdata.props['YLabel'] = 'MC/Data'
inputdata.props['YMin'] = 0.5
inputdata.props['YMax'] = 1.5
if inputdata.has_attr(self.name+'YLabel'):
inputdata.props['YLabel'] = inputdata.props[self.name+'YLabel']
if inputdata.has_attr(self.name+'YMin'):
inputdata.props['YMin'] = inputdata.props[self.name+'YMin']
if inputdata.has_attr(self.name+'YMax'):
inputdata.props['YMax'] = inputdata.props[self.name+'YMax']
if inputdata.has_attr(self.name+'YLabelSep'):
inputdata.props['YLabelSep'] = inputdata.props[self.name+'YLabelSep']
if not inputdata.has_attr(self.name+'ErrorBandColor'):
inputdata.props[self.name+'ErrorBandColor'] = 'yellow'
if inputdata.props[self.name+'SameStyle']=='0':
inputdata.histos[self.refdata].props['ErrorBandColor'] = inputdata.props[self.name+'ErrorBandColor']
inputdata.histos[self.refdata].props['ErrorBandOpacity'] = inputdata.props[self.name+'ErrorBandOpacity']
inputdata.histos[self.refdata].props['ErrorBands'] = '1'
inputdata.histos[self.refdata].props['ErrorBars'] = '0'
inputdata.histos[self.refdata].props['ErrorTubes'] = '0'
inputdata.histos[self.refdata].props['LineStyle'] = 'solid'
inputdata.histos[self.refdata].props['LineColor'] = 'black'
inputdata.histos[self.refdata].props['LineWidth'] = '0.3pt'
inputdata.histos[self.refdata].props['MarkerStyle'] = ''
inputdata.histos[self.refdata].props['ConnectGaps'] = '1'
self.calculate_ratios(inputdata)
self.set_borders(inputdata)
def draw(self, inputdata):
out = ''
out += ('\n%\n% RatioPlot\n%\n')
offset = 0.
for rname, i in inputdata.ratio_names():
if i > self.number and inputdata.has_attr(rname+'SizeY'):
offset += inputdata.attr_float(rname+'SizeY')
labels = self.getLabels(inputdata)
out += self.panel_header(
PanelOffset = offset,
Xmode = 'log' if inputdata.attr_bool('LogX') else 'normal',
Ymode = 'log' if inputdata.attr_bool('LogY') else 'normal',
Zmode = inputdata.attr_bool('LogZ'),
PanelHeight = inputdata.props['PlotSizeY'],
PanelWidth = inputdata.props['PlotSizeX'],
Xmin = self.xmin, Xmax = self.xmax,
Ymin = self.ymin, Ymax = self.ymax,
Zmin = self.zmin, Zmax = self.zmax,
Labels = { l : inputdata.attr(l) for l in labels if inputdata.has_attr(l) },
XLabelSep = inputdata.attr_float('XLabelSep', 0.7) if 'XLabel' in labels else None,
YLabelSep = inputdata.attr_float('YLabelSep', 1.2) if 'YLabel' in labels else None,
XTickShift = inputdata.attr_float('XTickShift', 0.1) if 'XLabel' in labels else None,
YTickShift = inputdata.attr_float('YTickShift', 0.1) if 'YLabel' in labels else None,
MajorTickLength = inputdata.attr_float('MajorTickLength', 0.30),
MinorTickLength = inputdata.attr_float('MinorTickLength', 0.15),
MinorTicks = { axis : self.getMinorTickMarks(inputdata, axis) for axis in ['X', 'Y', 'Z'] },
CustomTicks = { axis : self.getTicks(inputdata, axis) for axis in ['X', 'Y', 'Z'] },
NeedsXLabels = self.needsXLabel(inputdata),
#Grid = inputdata.doGrid(self.name),
is2D = inputdata.is2dim,
is3D = inputdata.attr_bool('Is3D', 0),
HRotate = inputdata.attr_int('HRotate', 0),
VRotate = inputdata.attr_int('VRotate', 0),
ColorMap = inputdata.attr('ColorMap', 'jet'),
#LegendAlign = inputdata.getLegendAlign(self.name),
#LegendPos = inputdata.getLegendPos(self.name),
)
out += self.add_object(inputdata)
for lname, i in inputdata.legend_names():
if inputdata.attr_bool(self.name + lname, False):
legend = Legend(inputdata.props,inputdata.histos,inputdata.functions, self.name + lname, i)
out += legend.draw()
out += self.panel_footer()
return out
def calculate_ratios(self, inputdata):
inputdata.ratios = {}
inputdata.ratios = copy.deepcopy(inputdata.histos)
name = inputdata.attr(self.name+'DrawOnly').pop(inputdata.attr(self.name+'DrawOnly').index(self.refdata))
reffirst = inputdata.attr(self.name+'DrawReferenceFirst') != '0'
if reffirst and inputdata.histos[self.refdata].attr_bool('ErrorBands'):
inputdata.props[self.name+'DrawOnly'].insert(0, name)
else:
inputdata.props[self.name+'DrawOnly'].append(name)
rpmode = inputdata.props.get(self.name+'Mode', 'mcdata')
for i in inputdata.props[self.name+'DrawOnly']: # + [ self.refdata ]:
if i != self.refdata:
if rpmode == 'deviation':
inputdata.ratios[i].deviation(inputdata.ratios[self.refdata])
elif rpmode == 'delta':
inputdata.ratios[i].delta(inputdata.ratios[self.refdata])
elif rpmode == 'deltapercent':
inputdata.ratios[i].deltapercent(inputdata.ratios[self.refdata])
elif rpmode == 'datamc':
inputdata.ratios[i].dividereverse(inputdata.ratios[self.refdata])
inputdata.ratios[i].props['ErrorBars'] = '1'
else:
inputdata.ratios[i].divide(inputdata.ratios[self.refdata])
if rpmode == 'deviation':
inputdata.ratios[self.refdata].deviation(inputdata.ratios[self.refdata])
elif rpmode == 'delta':
inputdata.ratios[self.refdata].delta(inputdata.ratios[self.refdata])
elif rpmode == 'deltapercent':
inputdata.ratios[self.refdata].deltapercent(inputdata.ratios[self.refdata])
elif rpmode == 'datamc':
inputdata.ratios[self.refdata].dividereverse(inputdata.ratios[self.refdata])
else:
inputdata.ratios[self.refdata].divide(inputdata.ratios[self.refdata])
def add_object(self, inputdata):
out = ""
if inputdata.attr_bool('DrawSpecialFirst', False):
for s in inputdata.special.values():
out += s.draw(inputdata)
if inputdata.attr_bool('DrawFunctionFirst'):
for i in inputdata.functions.keys():
out += inputdata.functions[i].draw(inputdata, self.props['Borders'][0], self.props['Borders'][1])
for key in inputdata.props[self.name+'DrawOnly']:
if inputdata.has_attr(self.name+'Mode') and inputdata.attr(self.name+'Mode') == 'datamc':
if key == self.refdata: continue
#add_legend = inputdata.attr_bool(self.name+'Legend')
out += inputdata.ratios[key].draw() #add_legend)
if not inputdata.attr_bool('DrawFunctionFirst'):
for i in inputdata.functions.keys():
out += inputdata.functions[i].draw(inputdata, self.props['Borders'][0], self.props['Borders'][1])
if not inputdata.attr_bool('DrawSpecialFirst', False):
for s in inputdata.special.values():
out += s.draw(inputdata)
return out
def getMinorTickMarks(self, inputdata, axis):
tag = '%sMinorTickMarks' % axis
if inputdata.has_attr(self.name + tag):
return inputdata.attr_int(self.name + tag)
return inputdata.attr_int(tag, 4)
def needsXLabel(self, inputdata):
# only plot x label if it's the last ratio panel
ratios = [ i for rname, i in inputdata.ratio_names() if inputdata.attr_bool(rname, True) and inputdata.attr(rname + 'Reference', False) ]
return ratios[-1] == self.number
def getLabels(self, inputdata):
labels = ['YLabel']
drawtitle = inputdata.has_attr('MainPlot') and not inputdata.attr_bool('MainPlot')
if drawtitle and not any([inputdata.attr_bool(rname) for rname, i in inputdata.ratio_names() if i < self.number]):
labels.append('Title')
if self.needsXLabel(inputdata):
labels.append('XLabel')
return labels
class Legend(Described):
def __init__(self, props, histos, functions, name, number):
self.name = name
self.number = number
self.histos = histos
self.functions = functions
self.props = props
def draw(self):
legendordermap = {}
legendlist = self.props['DrawOnly'] + list(self.functions.keys())
if self.name + 'Only' in self.props:
legendlist = []
for legend in self.props[self.name+'Only'].strip().split():
if legend in self.histos or legend in self.functions:
legendlist.append(legend)
for legend in legendlist:
order = 0
if legend in self.histos and 'LegendOrder' in self.histos[legend].props:
order = int(self.histos[legend].props['LegendOrder'])
if legend in self.functions and 'LegendOrder' in self.functions[legend].props:
order = int(self.functions[legend].props['LegendOrder'])
if not order in legendordermap:
legendordermap[order] = []
legendordermap[order].append(legend)
orderedlegendlist=[]
for i in sorted(legendordermap.keys()):
orderedlegendlist.extend(legendordermap[i])
if self.props['is2dim']:
return self.draw_2dlegend(orderedlegendlist)
out = ""
out += '\n%\n% Legend\n%\n'
talign = 'right' if self.getLegendAlign() == 'left' else 'left'
posalign = 'left' if talign == 'right' else 'right'
legx = float(self.getLegendXPos()); legy = float(self.getLegendYPos())
ypos = legy -0.05*6/self.props['PlotSizeY']
if self.props.has_key(self.name+'Title'):
for i in self.props[self.name+'Title'].strip().split('\\\\'):
out += ('\\node[black, inner sep=0, align=%s, %s,\n' % (posalign, talign))
out += ('] at (rel axis cs: %4.3f,%4.3f) {%s};\n' % (legx, ypos, i))
ypos -= 0.075*6/self.props['PlotSizeY']
offset = self.attr_float(self.name+'EntryOffset', 0.)
separation = self.attr_float(self.name+'EntrySeparation', 0.)
hline = True; vline = True
if self.props.has_key(self.name+'HorizontalLine'):
hline = self.props[self.name+'HorizontalLine'] != '0'
if self.props.has_key(self.name+'VerticalLine'):
vline = self.props[self.name+'VerticalLine'] != '0'
rel_xpos_sign = 1.0
if self.getLegendAlign() == 'right':
rel_xpos_sign = -1.0
xwidth = self.getLegendIconWidth()
xpos1 = legx -0.02*rel_xpos_sign-0.08*xwidth*rel_xpos_sign
xpos2 = legx -0.02*rel_xpos_sign
xposc = legx -0.02*rel_xpos_sign-0.04*xwidth*rel_xpos_sign
xpostext = 0.1*rel_xpos_sign
for i in orderedlegendlist:
if self.histos.has_key(i):
drawobject=self.histos[i]
elif self.functions.has_key(i):
drawobject=self.functions[i]
else:
continue
title = drawobject.getTitle()
mopts = pat_options.search(drawobject.path)
if mopts and not self.props.get("RemoveOptions", 0):
opts = list(mopts.groups())[0].lstrip(':').split(":")
for opt in opts:
if opt in self.props['_OptSubs']:
title += ' %s' % self.props['_OptSubs'][opt]
else:
title += ' [%s]' % opt
if title == '':
continue
else:
titlelines=[]
for i in title.strip().split('\\\\'):
titlelines.append(i)
ypos -= 0.075*6/self.props['PlotSizeY']*separation
boxtop = 0.045*(6./self.props['PlotSizeY'])
boxbottom = 0.
lineheight = 0.5*(boxtop-boxbottom)
xico = xpostext + xposc
xhi = xpostext + xpos2
xlo = xpostext + xpos1
yhi = ypos + lineheight
ylo = ypos - lineheight
xleg = legx + xpostext;
# options set -> lineopts
setup = ('%s,\n' % drawobject.getLineColor())
linewidth = drawobject.getLineWidth()
try:
float(linewidth)
linewidth += 'cm'
except ValueError:
pass
setup += ('draw opacity=%s,\n' % drawobject.getLineOpacity())
if drawobject.getErrorBands():
out += ('\\fill[\n')
out += (' fill=none, fill opacity=%s,\n' % drawobject.getErrorBandOpacity())
if drawobject.getPatternFill():
out += ('fill=%s,\n' % drawobject.getErrorBandFillColor())
out += ('] (rel axis cs: %4.3f, %4.3f) rectangle (rel axis cs: %4.3f, %4.3f);\n' % (xlo,ylo,xhi,yhi))
if drawobject.getPattern() != '':
out += ('\\fill[\n')
out += ('pattern = %s,\n' % drawobject.getPattern())
if drawobject.getErroBandHatchDistance() != "":
out += ('hatch distance = %s,\n' % drawobject.getErroBandHatchDistance())
if drawobject.getPatternColor() != '':
out += ('pattern color = %s,\n' % drawobject.getPatternColor())
out += ('] (rel axis cs: %4.3f, %4.3f) rectangle (rel axis cs: %4.3f, %4.3f);\n' % (xlo,ylo,xhi,yhi))
if drawobject.getFillBorder():
out += ('\\draw[line style=solid, thin, %s] (rel axis cs: %4.3f,%4.3f)' % (setup, xlo, yhi))
out += ('-- (rel axis cs: %4.3f, %4.3f);\n' % (xhi, yhi))
out += ('\\draw[line style=solid, thin, %s] (rel axis cs: %4.3f,%4.3f)' % (setup, xlo, ylo))
out += ('-- (rel axis cs: %4.3f, %4.3f);\n' % (xhi, ylo))
setup += ('line width={%s},\n' % linewidth)
setup += ('style={%s},\n' % drawobject.getLineStyle())
if drawobject.getLineDash():
setup += ('dash pattern=%s,\n' % drawobject.getLineDash())
if drawobject.getErrorBars() and vline:
out += ('\\draw[%s] (rel axis cs: %4.3f,%4.3f)' % (setup, xico, ylo))
out += (' -- (rel axis cs: %4.3f, %4.3f);\n' % (xico, yhi))
if hline:
out += ('\\draw[%s] (rel axis cs: %4.3f,%4.3f)' % (setup, xlo, ypos))
out += ('-- (rel axis cs: %4.3f, %4.3f);\n' % (xhi, ypos))
if drawobject.getMarkerStyle() != 'none':
setup += ('mark options={\n')
setup += (' %s, fill color=%s,\n' % (drawobject.getMarkerColor(), drawobject.getMarkerColor()))
setup += (' mark size={%s}, scale=%s,\n' % (drawobject.getMarkerSize(), drawobject.getMarkerScale()))
setup += ('},\n')
out += ('\\draw[mark=*, %s] plot coordinates {\n' % setup)
out += ('(rel axis cs: %4.3f,%4.3f)};\n' % (xico, ypos))
ypos -= 0.075*6/self.props['PlotSizeY']*offset
for i in titlelines:
out += ('\\node[black, inner sep=0, align=%s, %s,\n' % (posalign, talign))
out += ('] at (rel axis cs: %4.3f,%4.3f) {%s};\n' % (xleg, ypos, i))
ypos -= 0.075*6/self.props['PlotSizeY']
if 'CustomLegend' in self.props:
for i in self.props['CustomLegend'].strip().split('\\\\'):
out += ('\\node[black, inner sep=0, align=%s, %s,\n' % (posalign, talign))
out += ('] at (rel axis cs: %4.3f, %4.3f) {%s};\n' % (xleg, ypos, i))
ypos -= 0.075*6/self.props['PlotSizeY']
return out
def draw_2dlegend(self,orderedlegendlist):
histos = ""
for i in range(0,len(orderedlegendlist)):
if self.histos.has_key(orderedlegendlist[i]):
drawobject=self.histos[orderedlegendlist[i]]
elif self.functions.has_key(orderedlegendlist[i]):
drawobject=self.functions[orderedlegendlist[i]]
else:
continue
title = drawobject.getTitle()
if title == '':
continue
else:
histos += title.strip().split('\\\\')[0]
if not i==len(orderedlegendlist)-1:
histos += ', '
#out = '\\rput(1,1){\\rput[rB](0, 1.7\\labelsep){\\normalsize '+histos+'}}\n'
out += ('\\node[black, inner sep=0, align=left]\n')
out += ('at (rel axis cs: 1,1) {\\normalsize{%s}};\n' % histos)
return out
def getLegendXPos(self):
return self.props.get(self.name+'XPos', '0.95' if self.getLegendAlign() == 'right' else '0.53')
def getLegendYPos(self):
return self.props.get(self.name+'YPos', '0.93')
def getLegendAlign(self):
la = self.props.get(self.name+'Align', 'left')
if la == 'l': return 'left'
elif la == 'c': return 'center'
elif la == 'r': return 'right'
else: return la
def getLegendIconWidth(self):
return float(self.props.get(self.name+'IconWidth', '1.0'))
class PlotFunction(object):
def __init__(self, f):
self.props = {}
self.read_input(f)
def read_input(self, f):
self.code='def histomangler(x):\n'
iscode=False
for line in f:
if is_end_marker(line, 'HISTOGRAMMANGLER'):
break
elif is_comment(line):
continue
else:
m = pat_property.match(line)
if iscode:
self.code+=' '+line
elif m:
prop, value = m.group(1,2)
if prop=='Code':
iscode=True
else:
self.props[prop] = value
if not iscode:
print('++++++++++ ERROR: No code in function')
else:
foo = compile(self.code, '<string>', 'exec')
exec(foo)
self.histomangler = histomangler
def transform(self, x):
return self.histomangler(x)
class Special(Described):
def __init__(self, f):
self.props = {}
self.data = []
self.read_input(f)
if not self.props.has_key('Location'):
self.props['Location']='MainPlot'
self.props['Location']=self.props['Location'].split('\t')
if not self.props.has_key('Coordinates'):
self.props['Coordinates'] = 'Relative'
def read_input(self, f):
for line in f:
if is_end_marker(line, 'SPECIAL'):
break
elif is_comment(line):
continue
else:
line = line.rstrip()
m = pat_property.match(line)
if m:
prop, value = m.group(1,2)
self.props[prop] = value
else:
self.data.append(line)
def draw(self, inputdata):
drawme = False
for i in self.props['Location']:
if i in inputdata.props['PlotStage']:
drawme = True
break
if not drawme:
return ""
out = ""
out += ('\n%\n% Special\n%\n')
out += ('\\pgfplotsset{\n')
out += (' after end axis/.append code={\n')
for l in self.data:
cs = 'axis cs:'
if self.props['Coordinates'].lower() == 'relative':
cs = 'rel ' + cs
atpos = l.index('at')
cspos = l[atpos:].index('(') + 1
l = l[:atpos+cspos] + cs + l[atpos+cspos:]
out += ' %s%s\n' % (l, ';' if l[-1:] != ';' else '')
out += (' }\n}\n')
return out
class DrawableObject(Described):
def __init__(self, f):
pass
def getName(self):
return self.props.get('Name', '')
def getTitle(self):
return self.props.get('Title', '')
def getLineStyle(self):
if 'LineStyle' in self.props:
## I normally like there to be "only one way to do it", but providing
## this dashdotted/dotdashed synonym just seems humane ;-)
if self.props['LineStyle'] in ('dashdotted', 'dotdashed'):
self.props['LineStyle']='dashed'
self.props['LineDash']='3pt 3pt .8pt 3pt'
return self.props['LineStyle']
else:
return 'solid'
def getLineDash(self):
pattern = self.props.get('LineDash', '')
if pattern:
# converting this into pgfplots syntax
# "3pt 3pt .8pt 3pt" becomes
# "on 3pt off 3pt on .8pt off 3pt"
for i, val in enumerate(pattern.split(' ')):
if i == 0:
pattern = 'on %s' % val
else:
pattern += ' %s %s' % ('on' if i % 2 == 0 else 'off', val)
return pattern
def getLineWidth(self):
return self.props.get("LineWidth", "0.8pt")
def getColor(self, col):
if col in self.customCols:
return self.customCols[col]
return col
def getLineColor(self):
return self.getColor(self.props.get("LineColor", "black"))
def getLineOpacity(self):
return self.props.get("LineOpacity", "1.0")
def getFillOpacity(self):
return self.props.get("FillOpacity", "1.0")
def getFillBorder(self):
return self.attr_bool("FillBorder", "1")
def getHatchColor(self):
return self.getColor(self.props.get("HatchColor", self.getErrorBandColor()))
def getMarkerStyle(self):
return self.props.get("MarkerStyle", "*" if self.getErrorBars() else "none")
def getMarkerSize(self):
return self.props.get("MarkerSize", "1.5pt")
def getMarkerScale(self):
return self.props.get("MarkerScale", "1")
def getMarkerColor(self):
return self.getColor(self.props.get("MarkerColor", "black"))
def getErrorMarkStyle(self):
return self.props.get("ErrorMarkStyle", "none")
def getErrorBars(self):
return bool(int(self.props.get("ErrorBars", "0")))
def getErrorBands(self):
return bool(int(self.props.get("ErrorBands", "0")))
def getErrorBandColor(self):
return self.getColor(self.props.get("ErrorBandColor", self.getLineColor()))
def getErrorBandStyle(self):
return self.props.get("ErrorBandStyle", "solid")
def getPattern(self):
return self.props.get("ErrorBandPattern", "")
def getPatternColor(self):
return self.getColor(self.props.get("ErrorBandPatternColor", ""))
def getPatternFill(self):
return bool(int(self.props.get("ErrorBandFill", self.getPattern() == "")))
def getErrorBandFillColor(self):
return self.getColor(self.props.get("ErrorBandFillColor", self.getErrorBandColor()))
def getErroBandHatchDistance(self):
return self.props.get("ErrorBandHatchDistance", "")
def getErrorBandOpacity(self):
return self.props.get("ErrorBandOpacity", "1.0")
def removeXerrors(self):
return bool(int(self.props.get("RemoveXerrors", "0")))
def getSmoothLine(self):
return bool(int(self.props.get("SmoothLine", "0")))
def getShader(self):
return self.props.get('Shader', 'flat')
def makecurve(self, setup, metadata, data = None): #, legendName = None):
out = ''
out += ('\\addplot%s+[\n' % ('3' if self.is2dim else ''))
out += setup
out += (']\n')
out += metadata
out += ('{\n')
if data:
out += data
out += ('};\n')
#if legendName:
# out += ('\\addlegendentry[\n')
# out += (' image style={yellow, mark=*},\n')
# out += (']{%s};\n' % legendName)
return out
def addcurve(self, points): #, legendName):
setup = '';
#setup += ('color=%s,\n' % self.getLineColor())
setup += ('%s,\n' % self.getLineColor())
linewidth = self.getLineWidth()
try:
float(linewidth)
linewidth += 'cm'
except ValueError:
pass
setup += ('line width={%s},\n' % linewidth)
setup += ('style={%s},\n' % self.getLineStyle())
setup += ('mark=%s,\n' % self.getMarkerStyle())
if self.getLineDash():
setup += ('dash pattern=%s,\n' % self.getLineDash())
if self.getSmoothLine():
setup += ('smooth,\n')
#if not legendName:
# setup += ('forget plot,\n')
if self.getMarkerStyle() != 'none':
setup += ('mark options={\n')
setup += (' %s, fill color=%s,\n' % (self.getMarkerColor(), self.getMarkerColor()))
setup += (' mark size={%s}, scale=%s,\n' % (self.getMarkerSize(), self.getMarkerScale()))
setup += ('},\n')
if self.getErrorBars():
setup += ('only marks,\n')
setup += ('error bars/.cd,\n')
setup += ('x dir=both,x explicit,\n')
setup += ('y dir=both,y explicit,\n')
setup += ('error bar style={%s, line width={%s}},\n' % (self.getLineColor(), linewidth))
setup += ('error mark=%s,\n' % self.getErrorMarkStyle())
if self.getErrorMarkStyle() != 'none':
setup += ('error mark options={line width=%s},\n' % linewidth)
metadata = 'coordinates\n'
if self.getErrorBars():
metadata = 'table [x error plus=ex+, x error minus=ex-, y error plus=ey+, y error minus=ey-]\n'
return self.makecurve(setup, metadata, points) #, legendName)
def makeband(self, points):
setup = ''
setup += ('%s,\n' % self.getErrorBandColor())
setup += ('fill opacity=%s,\n' % self.getErrorBandOpacity())
setup += ('forget plot,\n')
setup += ('solid,\n')
setup += ('draw = %s,\n' % self.getErrorBandColor())
if self.getPatternFill():
setup += ('fill=%s,\n' % self.getErrorBandFillColor())
if self.getPattern() != '':
if self.getPatternFill():
setup += ('postaction={\n')
setup += ('pattern = %s,\n' % self.getPattern())
if self.getErroBandHatchDistance() != "":
setup += ('hatch distance = %s,\n' % self.getErroBandHatchDistance())
if self.getPatternColor() != '':
setup += ('pattern color = %s,\n' % self.getPatternColor())
if self.getPatternFill():
setup += ('fill opacity=1,\n')
setup += ('},\n')
aux = 'draw=none, no markers, forget plot, name path=%s\n'
env = 'table [x=x, y=%s]\n'
out = ''
out += self.makecurve(aux % 'pluserr', env % 'y+', points)
out += self.makecurve(aux % 'minuserr', env % 'y-', points)
out += self.makecurve(setup, 'fill between [of=pluserr and minuserr]\n')
return out
def make2dee(self, points, zlog, zmin, zmax):
setup = 'mark=none, surf, shader=%s,\n' % self.getShader()
metadata = 'table [x index=0, y index=1, z index=2]\n'
setup += 'restrict z to domain=%s:%s,\n' % (log10(zmin) if zlog else zmin, log10(zmax) if zlog else zmax)
if zlog:
metadata = 'table [x index=0, y index=1, z expr=log10(\\thisrowno{2})]\n'
return self.makecurve(setup, metadata, points)
class Function(DrawableObject):
def __init__(self, f):
self.props = {}
self.read_input(f)
if not self.props.has_key('Location'):
self.props['Location']='MainPlot'
self.props['Location']=self.props['Location'].split('\t')
def read_input(self, f):
self.code='def plotfunction(x):\n'
iscode=False
for line in f:
if is_end_marker(line, 'FUNCTION'):
break
elif is_comment(line):
continue
else:
m = pat_property.match(line)
if iscode:
self.code+=' '+line
elif m:
prop, value = m.group(1,2)
if prop=='Code':
iscode=True
else:
self.props[prop] = value
if not iscode:
print('++++++++++ ERROR: No code in function')
else:
foo = compile(self.code, '<string>', 'exec')
exec(foo)
self.plotfunction = plotfunction
def draw(self, inputdata, xmin, xmax):
drawme = False
for key in self.attr('Location'):
if key in inputdata.attr('PlotStage'):
drawme = True
break
if not drawme:
return ''
if self.has_attr('XMin') and self.attr('XMin'):
xmin = self.attr_float('XMin')
if self.props.has_attr('FunctionXMin') and self.attr('FunctionXMin'):
xmin = max(xmin, self.attr_float('FunctionXMin'))
if self.has_attr('XMax') and self.attr('XMax'):
xmax = self.attr_float('XMax')
if self.has_attr('FunctionXMax') and self.attr('FunctionXMax'):
xmax = min(xmax, self.attr_float('FunctionXMax'))
xmin = min(xmin, xmax)
xmax = max(xmin, xmax)
# TODO: Space sample points logarithmically if LogX=1
points = ''
xsteps = 500.
if self.has_attr('XSteps') and self.attr('XSteps'):
xsteps = self.attr_float('XSteps')
dx = (xmax - xmin) / xsteps
x = xmin - dx
while x < (xmax+2*dx):
y = self.plotfunction(x)
points += ('(%s,%s)\n' % (x, y))
x += dx
setup = '';
setup += ('%s,\n' % self.getLineColor())
linewidth = self.getLineWidth()
try:
float(linewidth)
linewidth += 'cm'
except ValueError:
pass
setup += ('line width={%s},\n' % linewidth)
setup += ('style={%s},\n' % self.getLineStyle())
setup += ('smooth, mark=none,\n')
if self.getLineDash():
setup += ('dash pattern=%s,\n' % self.getLineDash())
metadata = 'coordinates\n'
return self.makecurve(setup, metadata, points)
class BinData(object):
"""\
Store bin edge and value+error(s) data for a 1D or 2D bin.
TODO: generalise/alias the attr names to avoid mention of x and y
"""
def __init__(self, low, high, val, err):
#print("@", low, high, val, err)
self.low = floatify(low)
self.high = floatify(high)
self.val = float(val)
self.err = floatpair(err)
@property
def is2D(self):
return hasattr(self.low, "__len__") and hasattr(self.high, "__len__")
@property
def isValid(self):
invalid_val = (isnan(self.val) or isnan(self.err[0]) or isnan(self.err[1]))
if invalid_val:
return False
if self.is2D:
invalid_low = any(isnan(x) for x in self.low)
invalid_high = any(isnan(x) for x in self.high)
else:
invalid_low, invalid_high = isnan(self.low), isnan(self.high)
return not (invalid_low or invalid_high)
@property
def xmin(self):
return self.low
@xmin.setter
def xmin(self,x):
self.low = x
@property
def xmax(self):
return self.high
@xmax.setter
def xmax(self,x):
self.high = x
@property
def xmid(self):
# TODO: Generalise to 2D
return 0.5 * (self.xmin + self.xmax)
@property
def xwidth(self):
# TODO: Generalise to 2D
assert self.xmin <= self.xmax
return self.xmax - self.xmin
@property
def y(self):
return self.val
@y.setter
def y(self, x):
self.val = x
@property
def ey(self):
return self.err
@ey.setter
def ey(self, x):
self.err = x
@property
def ymin(self):
return self.y - self.ey[0]
@property
def ymax(self):
return self.y + self.ey[1]
def __getitem__(self, key):
"dict-like access for backward compatibility"
if key in ("LowEdge"):
return self.xmin
elif key == ("UpEdge", "HighEdge"):
return self.xmax
elif key == "Content":
return self.y
elif key == "Errors":
return self.ey
class Histogram(DrawableObject, Described):
def __init__(self, f, p=None):
self.props = {}
self.customCols = {}
self.is2dim = False
self.zlog = False
self.data = []
self.read_input_data(f)
self.sigmabinvalue = None
self.meanbinvalue = None
self.path = p
def read_input_data(self, f):
for line in f:
if is_end_marker(line, 'HISTOGRAM'):
break
elif is_comment(line):
continue
else:
line = line.rstrip()
m = pat_property.match(line)
if m:
prop, value = m.group(1,2)
self.props[prop] = value
if 'Color' in prop and '{' in value:
self.customCols[value] = value
else:
## Detect symm errs
linearray = line.split()
if len(linearray) == 4:
self.data.append(BinData(*linearray))
## Detect asymm errs
elif len(linearray) == 5:
self.data.append(BinData(linearray[0], linearray[1], linearray[2], [linearray[3],linearray[4]]))
## Detect two-dimensionality
elif len(linearray) in [6,7]:
self.is2dim = True
# If asymm z error, use the max or average of +- error
err = float(linearray[5])
if len(linearray) == 7:
if self.props.get("ShowMaxZErr", 1):
err = max(err, float(linearray[6]))
else:
err = 0.5 * (err + float(linearray[6]))
self.data.append(BinData([linearray[0], linearray[2]], [linearray[1], linearray[3]], linearray[4], err))
## Unknown histo format
else:
raise RuntimeError("Unknown HISTOGRAM data line format with %d entries" % len(linearray))
def mangle_input(self):
norm2int = self.attr_bool("NormalizeToIntegral", False)
norm2sum = self.attr_bool("NormalizeToSum", False)
if norm2int or norm2sum:
if norm2int and norm2sum:
print("Cannot normalise to integral and to sum at the same time. Will normalise to the integral.")
foo = 0.0
for point in self.data:
if norm2int: foo += point.val*point.xwidth
else: foo += point.val
if foo != 0:
for point in self.data:
point.val /= foo
point.err[0] /= foo
point.err[1] /= foo
scale = self.attr_float('Scale', 1.0)
if scale != 1.0:
# TODO: change to "in self.data"?
for point in self.data:
point.val *= scale
point.err[0] *= scale
point.err[1] *= scale
if self.attr_float("ScaleError", 0.0):
scale = self.attr_float("ScaleError")
for point in self.data:
point.err[0] *= scale
point.err[1] *= scale
if self.attr_float('Shift', 0.0):
shift = self.attr_float("Shift")
for point in self.data:
point.val += shift
if self.has_attr('Rebin') and self.attr('Rebin') != '':
rawrebins = self.attr('Rebin').strip().split('\t')
rebins = []
maxindex = len(self.data)-1
if len(rawrebins) % 2 == 1:
rebins.append({'Start': self.data[0].xmin,
'Rebin': int(rawrebins[0])})
rawrebins.pop(0)
for i in range(0,len(rawrebins),2):
if float(rawrebins[i])<self.data[maxindex].xmin:
rebins.append({'Start': float(rawrebins[i]),
'Rebin': int(rawrebins[i+1])})
if (rebins[0]['Start'] > self.data[0].xmin):
rebins.insert(0,{'Start': self.data[0].xmin,
'Rebin': 1})
errortype = self.attr("ErrorType", "stat")
newdata = []
lower = self.getBin(rebins[0]['Start'])
for k in range(0,len(rebins),1):
rebin = rebins[k]['Rebin']
upper = maxindex
end = 1
if (k<len(rebins)-1):
upper = self.getBin(rebins[k+1]['Start'])
end = 0
for i in range(lower,(upper/rebin)*rebin+end,rebin):
foo=0.
barl=0.
baru=0.
for j in range(rebin):
if i+j>maxindex:
break
binwidth = self.data[i+j].xwidth
foo += self.data[i+j].val * binwidth
if errortype=="stat":
barl += (binwidth * self.data[i+j].err[0])**2
baru += (binwidth * self.data[i+j].err[1])**2
elif errortype == "env":
barl += self.data[i+j].ymin * binwidth
baru += self.data[i+j].ymax * binwidth
else:
logging.error("Rebinning for ErrorType not implemented.")
sys.exit(1)
upedge = min(i+rebin-1,maxindex)
newbinwidth=self.data[upedge].xmax-self.data[i].xmin
newcentral=foo/newbinwidth
if errortype=="stat":
newerror=[sqrt(barl)/newbinwidth,sqrt(baru)/newbinwidth]
elif errortype=="env":
newerror=[(foo-barl)/newbinwidth,(baru-foo)/newbinwidth]
newdata.append(BinData(self.data[i].xmin, self.data[i+rebin-1].xmax, newcentral, newerror))
lower = (upper/rebin)*rebin+(upper%rebin)
self.data=newdata
def add(self, name):
if len(self.data) != len(name.data):
print('+++ Error in Histogram.add() for %s: different numbers of bins' % self.path)
for i, b in enumerate(self.data):
if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
b.val += name.data[i].val
b.err[0] = sqrt(b.err[0]**2 + name.data[i].err[0]**2)
b.err[1] = sqrt(b.err[1]**2 + name.data[i].err[1]**2)
else:
print('+++ Error in Histogram.add() for %s: binning of histograms differs' % self.path)
def divide(self, name):
#print(name.path, self.path)
if len(self.data) != len(name.data):
print('+++ Error in Histogram.divide() for %s: different numbers of bins' % self.path)
for i,b in enumerate(self.data):
if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
try:
b.err[0] /= name.data[i].val
except ZeroDivisionError:
b.err[0] = 0.
try:
b.err[1] /= name.data[i].val
except ZeroDivisionError:
b.err[1] = 0.
try:
b.val /= name.data[i].val
except ZeroDivisionError:
b.val = 1.
# b.err[0] = sqrt(b.err[0]**2 + name.data[i].err[0]**2)
# b.err[1] = sqrt(b.err[1]**2 + name.data[i].err[1]**2)
else:
print('+++ Error in Histogram.divide() for %s: binning of histograms differs' % self.path)
def dividereverse(self, name):
if len(self.data) != len(name.data):
print('+++ Error in Histogram.dividereverse() for %s: different numbers of bins' % self.path)
for i, b in enumerate(self.data):
if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
try:
b.err[0] = name.data[i].err[0]/b.val
except ZeroDivisionError:
b.err[0] = 0.
try:
b.err[1] = name.data[i].err[1]/b.val
except ZeroDivisionError:
b.err[1] = 0.
try:
b.val = name.data[i].val/b.val
except ZeroDivisionError:
b.val = 1.
else:
print('+++ Error in Histogram.dividereverse(): binning of histograms differs')
def deviation(self, name):
if len(self.data) != len(name.data):
print('+++ Error in Histogram.deviation() for %s: different numbers of bins' % self.path)
for i, b in enumerate(self.data):
if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
b.val -= name.data[i].val
try:
b.val /= 0.5*sqrt((name.data[i].err[0] + name.data[i].err[1])**2 + (b.err[0] + b.err[1])**2)
except ZeroDivisionError:
b.val = 0.0
try:
b.err[0] /= name.data[i].err[0]
except ZeroDivisionError:
b.err[0] = 0.0
try:
b.err[1] /= name.data[i].err[1]
except ZeroDivisionError:
b.err[1] = 0.0
else:
print('+++ Error in Histogram.deviation() for %s: binning of histograms differs' % self.path)
def delta(self,name):
self.divide(name)
for point in self.data:
point.val -= 1.
def deltapercent(self,name):
self.delta(name)
for point in self.data:
point.val *= 100.
point.err[0] *= 100.
point.err[1] *= 100.
def getBin(self,x):
if x<self.data[0].xmin or x>self.data[len(self.data)-1].xmax:
print('+++ Error in Histogram.getBin(): x out of range')
return float('nan')
for i in range(1,len(self.data)-1,1):
if x<self.data[i].xmin:
return i-1
return len(self.data)-1
def getChi2(self, name):
chi2 = 0.
for i, b in enumerate(self.data):
if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
try:
denom = 0.25*(b.err[0] + b.err[1])**2 + 0.25*(name.data[i].err[0] + name.data[i].err[1])**2
chi2 += (self.data[i].val - name.data[i].val) ** 2 / denom
except ZeroDivisionError:
pass
else:
print('+++ Error in Histogram.getChi2() for %s: binning of histograms differs' % self.path)
return chi2 / len(self.data)
def getSigmaBinValue(self):
if self.sigmabinvalue is None:
self.sigmabinvalue = 0.
sumofweights = 0.
for point in self.data:
if self.is2dim:
binwidth = abs((point.xmax[0] - point.xmin[0])*(point.xmax[1] - point.xmin[1]))
else:
binwidth = abs(point.xmax - point.xmin)
self.sigmabinvalue += binwidth*(point.val - self.getMeanBinValue()) ** 2
sumofweights += binwidth
self.sigmabinvalue = sqrt(self.sigmabinvalue / sumofweights)
return self.sigmabinvalue
def getMeanBinValue(self):
if self.meanbinvalue==None:
self.meanbinvalue = 0.
sumofweights = 0.
for point in self.data:
if self.is2dim:
binwidth = abs((point.xmax[0] - point.xmin[0])*(point.xmax[1] - point.xmin[1]))
else:
binwidth = abs(point.xmax - point.xmin)
self.meanbinvalue += binwidth*point.val
sumofweights += binwidth
self.meanbinvalue /= sumofweights
return self.meanbinvalue
def getCorrelation(self, name):
correlation = 0.
sumofweights = 0.
for i, b in enumerate(self.data):
if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
if self.is2dim:
binwidth = abs( (b.xmax[0] - b.xmin[0]) * (b.xmax[1] - b.xmin[1]) )
else:
binwidth = abs(b.xmax - b.xmin)
correlation += binwidth * (b.val - self.getMeanBinValue()) * (name.data[i].val - name.getMeanBinValue())
sumofweights += binwidth
else:
print('+++ Error in Histogram.getCorrelation(): binning of histograms differs' % self.path)
correlation /= sumofweights
try:
correlation /= self.getSigmaBinValue()*name.getSigmaBinValue()
except ZeroDivisionError:
correlation = 0
return correlation
def getRMSdistance(self,name):
distance = 0.
sumofweights = 0.
for i, b in enumerate(self.data):
if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
if self.is2dim:
binwidth = abs( (b.xmax[0] - b.xmin[0]) * (b.xmax[1] - b.xmin[1]) )
else:
binwidth = abs(b.xmax - b.xmin)
distance += binwidth * ( (b.val - self.getMeanBinValue()) - (name.data[i].val - name.getMeanBinValue())) ** 2
sumofweights += binwidth
else:
print('+++ Error in Histogram.getRMSdistance() for %s: binning of histograms differs' % self.path)
distance = sqrt(distance/sumofweights)
return distance
def draw(self): #, addLegend = None):
out = ''
seen_nan = False
if any(b.isValid for b in self.data):
out += "% START DATA\n"
#legendName = self.getTitle() if addLegend else ''
if self.is2dim:
points = ''; rowlo = ''; rowhi = ''
thisx = None; thisy = None
xinit = True; yinit = None
zmin = min([ b.val for b in self.data if b.val ])
zmax = max([ b.val for b in self.data if b.val ])
for b in self.data:
if thisx == None or thisx != b.high[0]:
if thisx != None:
points += '%s\n%s\n' % (rowlo, rowhi)
rowlo = ''; rowhi = ''
thisx = b.high[0]
rowlo += ('%s %s %s\n' % (1.001 * b.low[0], 1.001 * b.low[1], b.val))
rowlo += ('%s %s %s\n' % (1.001 * b.low[0], 0.999 * b.high[1], b.val))
rowhi += ('%s %s %s\n' % (0.999 * b.high[0], 1.001 * b.low[1], b.val))
rowhi += ('%s %s %s\n' % (0.999 * b.high[0], 0.999 * b.high[1], b.val))
points += '%s\n%s\n' % (rowlo, rowhi)
points += '\n'
out += self.make2dee(points, self.zlog, zmin, zmax)
else:
if self.getErrorBands():
self.props['SmoothLine'] = 0
points = ('x y- y+\n')
for b in self.data:
if isnan(b.val) or isnan(b.err[0]) or isnan(b.err[1]):
seen_nan = True
continue
points += ('%s %s %s\n' % (b.xmin, b.val - b.err[0], b.val + b.err[1]))
points += ('%s %s %s\n' % (b.xmax, b.val - b.err[0], b.val + b.err[1]))
out += self.makeband(points)
points = ''
if self.getErrorBars():
self.props['SmoothLine'] = 0
points += ('x y ex- ex+ ey- ey+\n')
for b in self.data:
if isnan(b.val):
seen_nan = True
continue
if self.getErrorBars():
if isnan(b.err[0]) or isnan(b.err[1]):
seen_nan = True
continue
if b.val == 0. and b.err == [0.,0.]:
continue
points += ('%s %s ' % (b.xmid, b.val))
if self.removeXerrors():
points += ('0 0 ')
else:
points += ('%s %s ' % (b.xmid - b.xmin, b.xmax - b.xmid))
points += ('%s %s' % (b.err[0], b.err[1]))
elif self.getSmoothLine():
points += ('(%s,%s)' % (b.xmid, b.val))
else:
points += ('(%s,%s) (%s,%s)' % (b.xmin, b.val, b.xmax, b.val))
points += ('\n')
out += self.addcurve(points) #, legendName)
out += "% END DATA\n"
else:
print("WARNING: No valid bin value/errors/edges to plot!")
out += "% NO DATA!\n"
if seen_nan:
print ("WARNING: NaN-valued value or error bar!")
return out
#def addLegend(self):
# out = ''
# if self.getTitle():
# out += ('\\addlegendentry{%s}\n' % self.getTitle())
# return out
def getXMin(self):
if not self.data:
return 0
elif self.is2dim:
return min(b.low[0] for b in self.data)
else:
return min(b.xmin for b in self.data)
def getXMax(self):
if not self.data:
return 1
elif self.is2dim:
return max(b.high[0] for b in self.data)
else:
return max(b.xmax for b in self.data)
def getYMin(self, xmin, xmax, logy):
if not self.data:
return 0
elif self.is2dim:
return min(b.low[1] for b in self.data)
else:
yvalues = []
for b in self.data:
if (b.xmax > xmin or b.xmin >= xmin) and (b.xmin < xmax or b.xmax <= xmax):
foo = b.val
if self.getErrorBars() or self.getErrorBands():
foo -= b.err[0]
if not isnan(foo) and (not logy or foo > 0):
yvalues.append(foo)
return min(yvalues) if yvalues else self.data[0].val
def getYMax(self, xmin, xmax):
if not self.data:
return 1
elif self.is2dim:
return max(b.high[1] for b in self.data)
else:
yvalues = []
for b in self.data:
if (b.xmax > xmin or b.xmin >= xmin) and (b.xmin < xmax or b.xmax <= xmax):
foo = b.val
if self.getErrorBars() or self.getErrorBands():
foo += b.err[1]
if not isnan(foo): # and (not logy or foo > 0):
yvalues.append(foo)
return max(yvalues) if yvalues else self.data[0].val
def getZMin(self, xmin, xmax, ymin, ymax):
if not self.is2dim:
return 0
zvalues = []
for b in self.data:
if (b.xmax[0] > xmin and b.xmin[0] < xmax) and (b.xmax[1] > ymin and b.xmin[1] < ymax):
zvalues.append(b.val)
return min(zvalues)
def getZMax(self, xmin, xmax, ymin, ymax):
if not self.is2dim:
return 0
zvalues = []
for b in self.data:
if (b.xmax[0] > xmin and b.xmin[0] < xmax) and (b.xmax[1] > ymin and b.xmin[1] < ymax):
zvalues.append(b.val)
return max(zvalues)
class Value(Histogram):
def read_input_data(self, f):
for line in f:
if is_end_marker(line, 'VALUE'):
break
elif is_comment(line):
continue
else:
line = line.rstrip()
m = pat_property.match(line)
if m:
prop, value = m.group(1,2)
self.props[prop] = value
else:
linearray = line.split()
if len(linearray) == 3:
self.data.append(BinData(0.0, 1.0, linearray[0], [ linearray[1], linearray[2] ])) # dummy x-values
else:
raise Exception('Value does not have the expected number of columns. ' + line)
# TODO: specialise draw() here
class Counter(Histogram):
def read_input_data(self, f):
for line in f:
if is_end_marker(line, 'COUNTER'):
break
elif is_comment(line):
continue
else:
line = line.rstrip()
m = pat_property.match(line)
if m:
prop, value = m.group(1,2)
self.props[prop] = value
else:
linearray = line.split()
if len(linearray) == 2:
self.data.append(BinData(0.0, 1.0, linearray[0], [ linearray[1], linearray[1] ])) # dummy x-values
else:
raise Exception('Counter does not have the expected number of columns. ' + line)
# TODO: specialise draw() here
class Histo1D(Histogram):
def read_input_data(self, f):
for line in f:
if is_end_marker(line, 'HISTO1D'):
break
elif is_comment(line):
continue
else:
line = line.rstrip()
m = pat_property.match(line)
if m:
prop, value = m.group(1,2)
self.props[prop] = value
if 'Color' in prop and '{' in value:
self.customCols[value] = value
else:
linearray = line.split()
## Detect symm errs
# TODO: Not sure what the 8-param version is for... auto-compatibility with YODA format?
if len(linearray) in [4,8]:
self.data.append(BinData(linearray[0], linearray[1], linearray[2], linearray[3]))
## Detect asymm errs
elif len(linearray) == 5:
self.data.append(BinData(linearray[0], linearray[1], linearray[2], [linearray[3],linearray[4]]))
else:
raise Exception('Histo1D does not have the expected number of columns. ' + line)
# TODO: specialise draw() here
class Histo2D(Histogram):
def read_input_data(self, f):
self.is2dim = True #< Should really be done in a constructor, but this is easier for now...
for line in f:
if is_end_marker(line, 'HISTO2D'):
break
elif is_comment(line):
continue
else:
line = line.rstrip()
m = pat_property.match(line)
if m:
prop, value = m.group(1,2)
self.props[prop] = value
if 'Color' in prop and '{' in value:
self.customCols[value] = value
else:
linearray = line.split()
if len(linearray) in [6,7]:
# If asymm z error, use the max or average of +- error
err = float(linearray[5])
if len(linearray) == 7:
if self.props.get("ShowMaxZErr", 1):
err = max(err, float(linearray[6]))
else:
err = 0.5 * (err + float(linearray[6]))
self.data.append(BinData([linearray[0], linearray[2]], [linearray[1], linearray[3]], float(linearray[4]), err))
else:
raise Exception('Histo2D does not have the expected number of columns. '+line)
# TODO: specialise draw() here
####################
def try_cmd(args):
"Run the given command + args and return True/False if it succeeds or not"
import subprocess
try:
subprocess.check_output(args, stderr=subprocess.STDOUT)
return True
except:
return False
def have_cmd(cmd):
return try_cmd(["which", cmd])
import shutil, subprocess
def process_datfile(datfile):
global opts
if not os.access(datfile, os.R_OK):
raise Exception("Could not read data file '%s'" % datfile)
datpath = os.path.abspath(datfile)
datfile = os.path.basename(datpath)
datdir = os.path.dirname(datpath)
outdir = opts.OUTPUT_DIR if opts.OUTPUT_DIR else datdir
filename = datfile.replace('.dat','')
## Create a temporary directory
# cwd = os.getcwd()
tempdir = tempfile.mkdtemp('.make-plots')
tempdatpath = os.path.join(tempdir, datfile)
shutil.copy(datpath, tempdir)
if opts.NO_CLEANUP:
logging.info('Keeping temp-files in %s' % tempdir)
## Make TeX file
inputdata = InputData(datpath)
if inputdata.attr_bool('IgnorePlot', False):
return
texpath = os.path.join(tempdir, '%s.tex' % filename)
texfile = open(texpath, 'w')
p = Plot()
texfile.write(p.write_header(inputdata))
if inputdata.attr_bool("MainPlot", True):
mp = MainPlot(inputdata)
texfile.write(mp.draw(inputdata))
if not inputdata.attr_bool("is2dim", False):
for rname, i in inputdata.ratio_names():
if inputdata.attr_bool(rname, True) and inputdata.attr(rname + 'Reference', False):
rp = RatioPlot(inputdata, i)
texfile.write(rp.draw(inputdata))
#for s in inputdata.special.values():
# texfile.write(p.write_special(inputdata))
texfile.write(p.write_footer())
texfile.close()
if opts.OUTPUT_FORMAT != ["TEX"]:
## Check for the required programs
latexavailable = have_cmd("latex")
dvipsavailable = have_cmd("dvips")
convertavailable = have_cmd("convert")
ps2pnmavailable = have_cmd("ps2pnm")
pnm2pngavailable = have_cmd("pnm2png")
# TODO: It'd be nice to be able to control the size of the PNG between thumb and full-size...
# currently defaults (and is used below) to a size suitable for thumbnails
def mkpngcmd(infile, outfile, outsize=450, density=300):
if convertavailable:
pngcmd = ["convert",
"-flatten",
"-density", str(density),
infile,
"-quality", "100",
"-resize", "{size:d}x{size:d}>".format(size=outsize),
#"-sharpen", "0x1.0",
outfile]
#logging.debug(" ".join(pngcmd))
#pngproc = subprocess.Popen(pngcmd, stdout=subprocess.PIPE, cwd=tempdir)
#pngproc.wait()
return pngcmd
else:
raise Exception("Required PNG maker program (convert) not found")
# elif ps2pnmavailable and pnm2pngavailable:
# pstopnm = "pstopnm -stdout -xsize=461 -ysize=422 -xborder=0.01 -yborder=0.01 -portrait " + infile
# p1 = subprocess.Popen(pstopnm.split(), stdout=subprocess.PIPE, stderr=open("/dev/null", "w"), cwd=tempdir)
# p2 = subprocess.Popen(["pnmtopng"], stdin=p1.stdout, stdout=open("%s/%s.png" % (tempdir, outfile), "w"), stderr=open("/dev/null", "w"), cwd=tempdir)
# p2.wait()
# else:
# raise Exception("Required PNG maker programs (convert, or ps2pnm and pnm2png) not found")
## Run LaTeX (in no-stop mode)
logging.debug(os.listdir(tempdir))
texcmd = ["latex", "\scrollmode\input", texpath]
logging.debug("TeX command: " + " ".join(texcmd))
texproc = subprocess.Popen(texcmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, cwd=tempdir)
logging.debug(texproc.communicate()[0])
logging.debug(os.listdir(tempdir))
## Run dvips
dvcmd = ["dvips", filename]
if not logging.getLogger().isEnabledFor(logging.DEBUG):
dvcmd.append("-q")
## Handle Minion Font
if opts.OUTPUT_FONT == "MINION":
dvcmd.append('-Pminion')
## Choose format
# TODO: Rationalise... this is a mess! Maybe we can use tex2pix?
if "PS" in opts.OUTPUT_FORMAT:
dvcmd += ["-o", "%s.ps" % filename]
logging.debug(" ".join(dvcmd))
dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
dvproc.wait()
if "PDF" in opts.OUTPUT_FORMAT:
dvcmd.append("-f")
logging.debug(" ".join(dvcmd))
dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
cnvproc = subprocess.Popen(["ps2pdf", "-"], stdin=dvproc.stdout, stdout=subprocess.PIPE, cwd=tempdir)
f = open(os.path.join(tempdir, "%s.pdf" % filename), "wb")
f.write(cnvproc.communicate()[0])
f.close()
if "EPS" in opts.OUTPUT_FORMAT:
dvcmd.append("-f")
logging.debug(" ".join(dvcmd))
dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
cnvproc = subprocess.Popen(["ps2eps"], stdin=dvproc.stdout, stderr=subprocess.PIPE, stdout=subprocess.PIPE, cwd=tempdir)
f = open(os.path.join(tempdir, "%s.eps" % filename), "wb")
f.write(cnvproc.communicate()[0])
f.close()
if "PNG" in opts.OUTPUT_FORMAT:
dvcmd.append("-f")
logging.debug(" ".join(dvcmd))
dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
#pngcmd = ["convert", "-flatten", "-density", "110", "-", "-quality", "100", "-sharpen", "0x1.0", "%s.png" % filename]
pngcmd = mkpngcmd("-", "%s.png" % filename)
logging.debug(" ".join(pngcmd))
pngproc = subprocess.Popen(pngcmd, stdin=dvproc.stdout, stdout=subprocess.PIPE, cwd=tempdir)
pngproc.wait()
logging.debug(os.listdir(tempdir))
## Copy results back to main dir
for fmt in opts.OUTPUT_FORMAT:
outname = "%s.%s" % (filename, fmt.lower())
outpath = os.path.join(tempdir, outname)
if os.path.exists(outpath):
shutil.copy(outpath, outdir)
else:
logging.error("No output file '%s' from processing %s" % (outname, datfile))
## Clean up
if not opts.NO_CLEANUP:
shutil.rmtree(tempdir, ignore_errors=True)
####################
if __name__ == '__main__':
## Try to rename the process on Linux
try:
import ctypes
libc = ctypes.cdll.LoadLibrary('libc.so.6')
libc.prctl(15, 'make-plots', 0, 0, 0)
except Exception:
pass
## Try to use Psyco optimiser
try:
import psyco
psyco.full()
except ImportError:
pass
## Find number of (virtual) processing units
import multiprocessing
try:
numcores = multiprocessing.cpu_count()
except:
numcores = 1
## Parse command line options
from optparse import OptionParser, OptionGroup
parser = OptionParser(usage=__doc__)
parser.add_option("-j", "-n", "--num-threads", dest="NUM_THREADS", type="int",
default=numcores, help="max number of threads to be used [%s]" % numcores)
parser.add_option("-o", "--outdir", dest="OUTPUT_DIR", default=None,
help="choose the output directory (default = .dat dir)")
parser.add_option("--font", dest="OUTPUT_FONT", choices="palatino,cm,times,helvetica,minion".split(","),
default="palatino", help="choose the font to be used in the plots")
parser.add_option("-f", "--format", dest="OUTPUT_FORMAT", default="PDF",
help="choose plot format, perhaps multiple comma-separated formats e.g. 'pdf' or 'tex,pdf,png' (default = PDF).")
parser.add_option("--no-cleanup", dest="NO_CLEANUP", action="store_true", default=False,
help="keep temporary directory and print its filename.")
parser.add_option("--no-subproc", dest="NO_SUBPROC", action="store_true", default=False,
help="don't use subprocesses to render the plots in parallel -- useful for debugging.")
parser.add_option("--full-range", dest="FULL_RANGE", action="store_true", default=False,
help="plot full y range in log-y plots.")
parser.add_option("-c", "--config", dest="CONFIGFILES", action="append", default=None,
help="plot config file to be used. Overrides internal config blocks.")
verbgroup = OptionGroup(parser, "Verbosity control")
verbgroup.add_option("-v", "--verbose", action="store_const", const=logging.DEBUG, dest="LOGLEVEL",
default=logging.INFO, help="print debug (very verbose) messages")
verbgroup.add_option("-q", "--quiet", action="store_const", const=logging.WARNING, dest="LOGLEVEL",
default=logging.INFO, help="be very quiet")
parser.add_option_group(verbgroup)
opts, args = parser.parse_args()
## Tweak the opts output
logging.basicConfig(level=opts.LOGLEVEL, format="%(message)s")
opts.OUTPUT_FONT = opts.OUTPUT_FONT.upper()
opts.OUTPUT_FORMAT = opts.OUTPUT_FORMAT.upper().split(",")
if opts.NUM_THREADS == 1:
opts.NO_SUBPROC = True
## Check for no args
if len(args) == 0:
logging.error(parser.get_usage())
sys.exit(2)
## Check that the files exist
for f in args:
if not os.access(f, os.R_OK):
print("Error: cannot read from %s" % f)
sys.exit(1)
## Test for external programs (kpsewhich, latex, dvips, ps2pdf/ps2eps, and convert)
opts.LATEXPKGS = []
if opts.OUTPUT_FORMAT != ["TEX"]:
try:
## latex
if not have_cmd("latex"):
logging.error("ERROR: required program 'latex' could not be found. Exiting...")
sys.exit(1)
## dvips
if not have_cmd("dvips"):
logging.error("ERROR: required program 'dvips' could not be found. Exiting...")
sys.exit(1)
## ps2pdf / ps2eps
if "PDF" in opts.OUTPUT_FORMAT:
if not have_cmd("ps2pdf"):
logging.error("ERROR: required program 'ps2pdf' (for PDF output) could not be found. Exiting...")
sys.exit(1)
elif "EPS" in opts.OUTPUT_FORMAT:
if not have_cmd("ps2eps"):
logging.error("ERROR: required program 'ps2eps' (for EPS output) could not be found. Exiting...")
sys.exit(1)
## PNG output converter
if "PNG" in opts.OUTPUT_FORMAT:
if not have_cmd("convert"):
logging.error("ERROR: required program 'convert' (for PNG output) could not be found. Exiting...")
sys.exit(1)
## kpsewhich: required for LaTeX package testing
if not have_cmd("kpsewhich"):
logging.warning("WARNING: required program 'kpsewhich' (for LaTeX package checks) could not be found")
else:
## Check minion font
if opts.OUTPUT_FONT == "MINION":
p = subprocess.Popen(["kpsewhich", "minion.sty"], stdout=subprocess.PIPE)
p.wait()
if p.returncode != 0:
logging.warning('Warning: Using "--minion" requires minion.sty to be installed. Ignoring it.')
opts.OUTPUT_FONT = "PALATINO"
## Check for HEP LaTeX packages
# TODO: remove HEP-specifics/non-standards?
for pkg in ["hepnames", "hepunits", "underscore"]:
p = subprocess.Popen(["kpsewhich", "%s.sty" % pkg], stdout=subprocess.PIPE)
p.wait()
if p.returncode == 0:
opts.LATEXPKGS.append(pkg)
## Check for Palatino old style figures and small caps
if opts.OUTPUT_FONT == "PALATINO":
p = subprocess.Popen(["kpsewhich", "ot1pplx.fd"], stdout=subprocess.PIPE)
p.wait()
if p.returncode == 0:
opts.OUTPUT_FONT = "PALATINO_OSF"
except Exception as e:
logging.warning("Problem while testing for external packages. I'm going to try and continue without testing, but don't hold your breath...")
def init_worker():
import signal
signal.signal(signal.SIGINT, signal.SIG_IGN)
## Run rendering jobs
datfiles = args
plotword = "plots" if len(datfiles) > 1 else "plot"
logging.info("Making %d %s" % (len(datfiles), plotword))
if opts.NO_SUBPROC:
init_worker()
for i, df in enumerate(datfiles):
logging.info("Plotting %s (%d/%d remaining)" % (df, len(datfiles)-i, len(datfiles)))
process_datfile(df)
else:
pool = multiprocessing.Pool(opts.NUM_THREADS, init_worker)
try:
for i, _ in enumerate(pool.imap(process_datfile, datfiles)):
logging.info("Plotting %s (%d/%d remaining)" % (datfiles[i], len(datfiles)-i, len(datfiles)))
pool.close()
except KeyboardInterrupt:
print("Caught KeyboardInterrupt, terminating workers")
pool.terminate()
except ValueError as e:
print(e)
print("Perhaps your .dat file is corrupt?")
pool.terminate()
pool.join()