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example_v1p0p3.cc
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// Nsubjettiness Package
// Questions/Comments? jthaler@jthaler.net
//
// Copyright (c) 2011-13
// Jesse Thaler, Ken Van Tilburg, and Christopher K. Vermilion
//
// Run this example with:
// ./example_v1p0p3 < ../data/single-event.dat
//
// $Id: example_v1p0p3.cc 800 2015-05-22 17:58:19Z jthaler $
//----------------------------------------------------------------------
// This file is part of FastJet contrib.
//
// It is free software; you can redistribute it and/or modify it under
// the terms of the GNU General Public License as published by the
// Free Software Foundation; either version 2 of the License, or (at
// your option) any later version.
//
// It is distributed in the hope that it will be useful, but WITHOUT
// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
// License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this code. If not, see <http://www.gnu.org/licenses/>.
//----------------------------------------------------------------------
#include
<iomanip>
#include
<stdlib.h>
#include
<stdio.h>
#include
<time.h>
#include
<iostream>
#include
<istream>
#include
<fstream>
#include
<sstream>
#include
<string>
#include
"fastjet/PseudoJet.hh"
#include
"fastjet/ClusterSequenceArea.hh"
#include
<sstream>
#include
"Nsubjettiness.hh" // In external code, this should be fastjet/contrib/Nsubjettiness.hh
#include
"Njettiness.hh"
#include
"NjettinessPlugin.hh"
using
namespace
std
;
using
namespace
fastjet
;
using
namespace
fastjet
::
contrib
;
// forward declaration to make things clearer
void
read_event
(
vector
<
PseudoJet
>
&
event
);
void
PrintJets
(
const
vector
<
PseudoJet
>&
jets
);
void
analyze
(
const
vector
<
PseudoJet
>
&
input_particles
);
//----------------------------------------------------------------------
//
// Note: This example file is here to test the previous v1.0.3 interface
// to make sure it is backwards compatable. Please do not use this old
// interface unless you know what you are doing.
//
//----------------------------------------------------------------------
int
main
(){
//----------------------------------------------------------
// read in input particles
vector
<
PseudoJet
>
event
;
read_event
(
event
);
cout
<<
"# read an event with "
<<
event
.
size
()
<<
" particles"
<<
endl
;
//----------------------------------------------------------
// illustrate how Nsubjettiness contrib works
analyze
(
event
);
return
0
;
}
// read in input particles
void
read_event
(
vector
<
PseudoJet
>
&
event
){
string
line
;
while
(
getline
(
cin
,
line
))
{
istringstream
linestream
(
line
);
// take substrings to avoid problems when there are extra "pollution"
// characters (e.g. line-feed).
if
(
line
.
substr
(
0
,
4
)
==
"#END"
)
{
return
;}
if
(
line
.
substr
(
0
,
1
)
==
"#"
)
{
continue
;}
double
px
,
py
,
pz
,
E
;
linestream
>>
px
>>
py
>>
pz
>>
E
;
PseudoJet
particle
(
px
,
py
,
pz
,
E
);
// push event onto back of full_event vector
event
.
push_back
(
particle
);
}
}
/// Helper function for output
void
PrintJets
(
const
vector
<
PseudoJet
>&
jets
)
{
if
(
jets
.
size
()
==
0
)
return
;
const
NjettinessExtras
*
extras
=
njettiness_extras
(
jets
[
0
]);
if
(
jets
[
0
].
has_area
())
{
if
(
extras
==
NULL
)
{
printf
(
"%5s %10s %10s %10s %10s %10s %10s
\n
"
,
"jet #"
,
"rapidity"
,
"phi"
,
"pt"
,
"m"
,
"e"
,
"area"
);
// label the columns
for
(
unsigned
int
i
=
0
;
i
<
jets
.
size
();
i
++
)
{
printf
(
"%5u %10.3f %10.3f %10.3f %10.3f %10.3f %10.3f
\n
"
,
i
,
jets
[
i
].
rap
(),
jets
[
i
].
phi
(),
jets
[
i
].
perp
(),
jets
[
i
].
m
(),
jets
[
i
].
e
(),(
jets
[
i
].
has_area
()
?
jets
[
i
].
area
()
:
0.0
));
}
}
else
{
fastjet
::
PseudoJet
total
(
0
,
0
,
0
,
0
);
printf
(
"%5s %10s %10s %10s %10s %10s %10s %10s
\n
"
,
"jet #"
,
"rapidity"
,
"phi"
,
"pt"
,
"m"
,
"e"
,
"subTau"
,
"area"
);
// label the columns
for
(
unsigned
int
i
=
0
;
i
<
jets
.
size
();
i
++
)
{
printf
(
"%5u %10.3f %10.3f %10.3f %10.3f %10.3f %10.6f %10.3f
\n
"
,
i
,
jets
[
i
].
rap
(),
jets
[
i
].
phi
(),
jets
[
i
].
perp
(),
jets
[
i
].
m
(),
jets
[
i
].
e
(),
extras
->
subTau
(
jets
[
i
]),(
jets
[
i
].
has_area
()
?
jets
[
i
].
area
()
:
0.0
));
total
+=
jets
[
i
];
}
printf
(
"%5s %10.3f %10.3f %10.3f %10.3f %10.3f %10.6f %10.3f
\n
"
,
"total"
,
total
.
rap
(),
total
.
phi
(),
total
.
perp
(),
total
.
m
(),
total
.
e
(),
extras
->
totalTau
(),(
total
.
has_area
()
?
total
.
area
()
:
0.0
));
}
}
else
{
if
(
extras
==
NULL
)
{
printf
(
"%5s %10s %10s %10s %10s %10s
\n
"
,
"jet #"
,
"rapidity"
,
"phi"
,
"pt"
,
"m"
,
"e"
);
// label the columns
for
(
unsigned
int
i
=
0
;
i
<
jets
.
size
();
i
++
)
{
printf
(
"%5u %10.3f %10.3f %10.3f %10.3f %10.3f
\n
"
,
i
,
jets
[
i
].
rap
(),
jets
[
i
].
phi
(),
jets
[
i
].
perp
(),
jets
[
i
].
m
(),
jets
[
i
].
e
());
}
}
else
{
fastjet
::
PseudoJet
total
(
0
,
0
,
0
,
0
);
printf
(
"%5s %10s %10s %10s %10s %10s %10s
\n
"
,
"jet #"
,
"rapidity"
,
"phi"
,
"pt"
,
"m"
,
"e"
,
"subTau"
);
// label the columns
for
(
unsigned
int
i
=
0
;
i
<
jets
.
size
();
i
++
)
{
printf
(
"%5u %10.3f %10.3f %10.3f %10.3f %10.3f %10.6f
\n
"
,
i
,
jets
[
i
].
rap
(),
jets
[
i
].
phi
(),
jets
[
i
].
perp
(),
jets
[
i
].
m
(),
jets
[
i
].
e
(),
extras
->
subTau
(
jets
[
i
]));
total
+=
jets
[
i
];
}
printf
(
"%5s %10.3f %10.3f %10.3f %10.3f %10.3f %10.6f
\n
"
,
"total"
,
total
.
rap
(),
total
.
phi
(),
total
.
perp
(),
total
.
m
(),
total
.
e
(),
extras
->
totalTau
());
}
}
}
////////
//
// Main Routine for Analysis
//
///////
void
analyze
(
const
vector
<
PseudoJet
>
&
input_particles
)
{
/////// N-subjettiness /////////////////////////////
// Initial clustering with anti-kt algorithm
JetAlgorithm
algorithm
=
antikt_algorithm
;
double
jet_rad
=
1.00
;
// jet radius for anti-kt algorithm
JetDefinition
jetDef
=
JetDefinition
(
algorithm
,
jet_rad
,
E_scheme
,
Best
);
ClusterSequence
clust_seq
(
input_particles
,
jetDef
);
vector
<
PseudoJet
>
antikt_jets
=
sorted_by_pt
(
clust_seq
.
inclusive_jets
());
// Defining Nsubjettiness parameters
double
beta
=
1.0
;
// power for angular dependence, e.g. beta = 1 --> linear k-means, beta = 2 --> quadratic/classic k-means
double
R0
=
1.0
;
// Characteristic jet radius for normalization
double
Rcut
=
1.0
;
// maximum R particles can be from axis to be included in jet
for
(
int
j
=
0
;
j
<
2
;
j
++
)
{
// Two hardest jets per event
if
(
antikt_jets
[
j
].
perp
()
>
200
)
{
vector
<
PseudoJet
>
jet_constituents
=
clust_seq
.
constituents
(
antikt_jets
[
j
]);
//
// If you don't want subjets, you can use the simple functor Nsubjettiness:
// Recommended usage is Njettiness::onepass_kt_axes mode.
//
//
// Note: all instances of axes mode Njettiness::min_axes have been
// commented out. This method is not guarenteed to give a global
// minimum, only a local minimum, and different choices of the random
// number seed can give different results. For that reason,
// Njettiness::onepass_kt_axes is the recommended usage.
//
// 1-subjettiness
Nsubjettiness
nSub1KT
(
1
,
Njettiness
::
kt_axes
,
beta
,
R0
,
Rcut
);
double
tau1
=
nSub1KT
(
antikt_jets
[
j
]);
//Nsubjettiness nSub1Min(1, Njettiness::min_axes, beta, R0, Rcut);
//double tau1min = nSub1Min(antikt_jets[j]);
Nsubjettiness
nSub1OnePass
(
1
,
Njettiness
::
onepass_kt_axes
,
beta
,
R0
,
Rcut
);
double
tau1onepass
=
nSub1OnePass
(
antikt_jets
[
j
]);
// 2-subjettiness
Nsubjettiness
nSub2KT
(
2
,
Njettiness
::
kt_axes
,
beta
,
R0
,
Rcut
);
double
tau2
=
nSub2KT
(
antikt_jets
[
j
]);
//Nsubjettiness nSub2Min(2, Njettiness::min_axes, beta, R0, Rcut);
//double tau2min = nSub2Min(antikt_jets[j]);
Nsubjettiness
nSub2OnePass
(
2
,
Njettiness
::
onepass_kt_axes
,
beta
,
R0
,
Rcut
);
double
tau2onepass
=
nSub2OnePass
(
antikt_jets
[
j
]);
// 3-subjettiness
Nsubjettiness
nSub3KT
(
3
,
Njettiness
::
kt_axes
,
beta
,
R0
,
Rcut
);
double
tau3
=
nSub3KT
(
antikt_jets
[
j
]);
//Nsubjettiness nSub3Min(3, Njettiness::min_axes, beta, R0, Rcut);
//double tau3min = nSub3Min(antikt_jets[j]);
Nsubjettiness
nSub3OnePass
(
3
,
Njettiness
::
onepass_kt_axes
,
beta
,
R0
,
Rcut
);
double
tau3onepass
=
nSub3OnePass
(
antikt_jets
[
j
]);
//
// Or, if you want subjets, use the FastJet plugin on a jet's constituents
// Recommended usage is Njettiness::onepass_kt_axes mode.
//
NjettinessPlugin
nsub_plugin1
(
1
,
Njettiness
::
kt_axes
,
1.0
,
1.0
,
1.0
);
JetDefinition
nsub_jetDef1
(
&
nsub_plugin1
);
ClusterSequence
nsub_seq1
(
antikt_jets
[
j
].
constituents
(),
nsub_jetDef1
);
vector
<
PseudoJet
>
kt1jets
=
nsub_seq1
.
inclusive_jets
();
NjettinessPlugin
nsub_plugin2
(
2
,
Njettiness
::
kt_axes
,
1.0
,
1.0
,
1.0
);
JetDefinition
nsub_jetDef2
(
&
nsub_plugin2
);
ClusterSequence
nsub_seq2
(
antikt_jets
[
j
].
constituents
(),
nsub_jetDef2
);
vector
<
PseudoJet
>
kt2jets
=
nsub_seq2
.
inclusive_jets
();
NjettinessPlugin
nsub_plugin3
(
3
,
Njettiness
::
kt_axes
,
1.0
,
1.0
,
1.0
);
JetDefinition
nsub_jetDef3
(
&
nsub_plugin3
);
ClusterSequence
nsub_seq3
(
antikt_jets
[
j
].
constituents
(),
nsub_jetDef3
);
vector
<
PseudoJet
>
kt3jets
=
nsub_seq3
.
inclusive_jets
();
//NjettinessPlugin nsubMin_plugin1(1, Njettiness::min_axes, 1.0, 1.0, 1.0);
//JetDefinition nsubMin_jetDef1(&nsubMin_plugin1);
//ClusterSequence nsubMin_seq1(antikt_jets[j].constituents(), nsubMin_jetDef1);
//vector<PseudoJet> min1jets = nsubMin_seq1.inclusive_jets();
//NjettinessPlugin nsubMin_plugin2(2, Njettiness::min_axes, 1.0, 1.0, 1.0);
//JetDefinition nsubMin_jetDef2(&nsubMin_plugin2);
//ClusterSequence nsubMin_seq2(antikt_jets[j].constituents(), nsubMin_jetDef2);
//vector<PseudoJet> min2jets = nsubMin_seq2.inclusive_jets();
//NjettinessPlugin nsubMin_plugin3(3, Njettiness::min_axes, 1.0, 1.0, 1.0);
//JetDefinition nsubMin_jetDef3(&nsubMin_plugin3);
//ClusterSequence nsubMin_seq3(antikt_jets[j].constituents(), nsubMin_jetDef3);
//vector<PseudoJet> min3jets = nsubMin_seq3.inclusive_jets();
NjettinessPlugin
nsubOnePass_plugin1
(
1
,
Njettiness
::
onepass_kt_axes
,
1.0
,
1.0
,
1.0
);
JetDefinition
nsubOnePass_jetDef1
(
&
nsubOnePass_plugin1
);
ClusterSequence
nsubOnePass_seq1
(
antikt_jets
[
j
].
constituents
(),
nsubOnePass_jetDef1
);
vector
<
PseudoJet
>
onepass1jets
=
nsubOnePass_seq1
.
inclusive_jets
();
NjettinessPlugin
nsubOnePass_plugin2
(
2
,
Njettiness
::
onepass_kt_axes
,
1.0
,
1.0
,
1.0
);
JetDefinition
nsubOnePass_jetDef2
(
&
nsubOnePass_plugin2
);
ClusterSequence
nsubOnePass_seq2
(
antikt_jets
[
j
].
constituents
(),
nsubOnePass_jetDef2
);
vector
<
PseudoJet
>
onepass2jets
=
nsubOnePass_seq2
.
inclusive_jets
();
NjettinessPlugin
nsubOnePass_plugin3
(
3
,
Njettiness
::
onepass_kt_axes
,
1.0
,
1.0
,
1.0
);
JetDefinition
nsubOnePass_jetDef3
(
&
nsubOnePass_plugin3
);
ClusterSequence
nsubOnePass_seq3
(
antikt_jets
[
j
].
constituents
(),
nsubOnePass_jetDef3
);
vector
<
PseudoJet
>
onepass3jets
=
nsubOnePass_seq3
.
inclusive_jets
();
printf
(
"-------------------------------------------------------------------------------------"
);
printf
(
"
\n
"
);
printf
(
"-------------------------------------------------------------------------------------"
);
printf
(
"
\n
"
);
cout
<<
"Beta = "
<<
beta
<<
endl
;
cout
<<
"kT Axes:"
<<
endl
;
PrintJets
(
kt1jets
);
PrintJets
(
kt2jets
);
PrintJets
(
kt3jets
);
//cout << "Multi-Pass Minimization Axes:" << endl;
//PrintJets(min1jets);
//PrintJets(min2jets);
//PrintJets(min3jets);
cout
<<
"One Pass Minimization Axes from kT"
<<
endl
;
PrintJets
(
onepass1jets
);
PrintJets
(
onepass2jets
);
PrintJets
(
onepass3jets
);
printf
(
"-------------------------------------------------------------------------------------"
);
printf
(
"
\n
"
);
cout
<<
"Beta = "
<<
beta
<<
setprecision
(
6
)
<<
endl
;
cout
<<
" kT: "
<<
"tau1: "
<<
tau1
<<
" tau2: "
<<
tau2
<<
" tau3: "
<<
tau3
<<
" tau2/tau1: "
<<
tau2
/
tau1
<<
" tau3/tau2: "
<<
tau3
/
tau2
<<
endl
;
//cout << " Min: " << "tau1: " << tau1min << " tau2: " << tau2min << " tau3: " << tau3min << " tau2/tau1: " << tau2min/tau1min << " tau3/tau2: " << tau3min/tau2min << endl;
cout
<<
"OnePass: "
<<
"tau1: "
<<
tau1onepass
<<
" tau2: "
<<
tau2onepass
<<
" tau3: "
<<
tau3onepass
<<
" tau2/tau1: "
<<
tau2onepass
/
tau1onepass
<<
" tau3/tau2: "
<<
tau3onepass
/
tau2onepass
<<
endl
;
cout
<<
endl
;
printf
(
"-------------------------------------------------------------------------------------"
);
printf
(
"
\n
"
);
printf
(
"-------------------------------------------------------------------------------------"
);
printf
(
"
\n
"
);
}
}
// Note: Removed all from example file since none of the NjettinessPlugin is strictly backwards compatible.
// ////////// N-jettiness as a jet algorithm ///////////////////////////
//
// // WARNING: This is extremely preliminary. You should not use for
// // physics studies without contacting the authors.
// // You can also find jets with Njettiness:
//
// NjettinessPlugin njet_plugin(3, Njettiness::onepass_kt_axes, 1.0, 1.0, 1.0);
// JetDefinition njet_jetDef(&njet_plugin);
// ClusterSequence njet_seq(input_particles, njet_jetDef);
// vector<PseudoJet> njet_jets = njet_seq.inclusive_jets();
//
//
// NjettinessPlugin geo_plugin(3, NsubGeometricParameters(1.0));
// JetDefinition geo_jetDef(&geo_plugin);
// ClusterSequence geo_seq(input_particles, geo_jetDef);
// vector<PseudoJet> geo_jets = geo_seq.inclusive_jets();
//
// // The axes might point in a different direction than the jets
// // Using the NjettinessExtras pointer (ClusterSequence::Extras) to access that information
// vector<PseudoJet> njet_axes;
// const NjettinessExtras * extras = njettiness_extras(njet_seq);
// if (extras != NULL) {
// njet_axes = extras->axes();
// }
//
// printf("-------------------------------------------------------------------------------------"); printf("\n");
// cout << "Event-wide Jets from One-Pass Minimization (beta = 1.0)" << endl;
// PrintJets(njet_jets);
// cout << "Event-wide Axis Location for Above Jets" << endl;
// PrintJets(njet_axes);
//
// cout << "Event-wide Jets from Geometric Measure" << endl;
// PrintJets(geo_jets);
// printf("-------------------------------------------------------------------------------------"); printf("\n");
//
// // You can also find jet areas using this method (quite slow, though)
//
// double ghost_maxrap = 5.0; // e.g. if particles go up to y=5
// AreaDefinition area_def(active_area_explicit_ghosts, GhostedAreaSpec(ghost_maxrap));
//
// ClusterSequenceArea njet_seq_area(input_particles, njet_jetDef,area_def);
// vector<PseudoJet> njet_jets_area = njet_seq_area.inclusive_jets();
//
// ClusterSequenceArea geo_seq_area(input_particles, geo_jetDef,area_def);
// vector<PseudoJet> geo_jets_area = geo_seq_area.inclusive_jets();
//
// // The axes might point in a different direction than the jets
// // Using the NjettinessExtras pointer (ClusterSequence::Extras) to access that information
// vector<PseudoJet> njet_axes_area;
// const NjettinessExtras * extras_area = njettiness_extras(njet_seq_area);
// if (extras_area != NULL) {
// njet_axes_area = extras_area->axes();
// }
//
// printf("-------------------------------------------------------------------------------------"); printf("\n");
// cout << "Event-wide Jets from One-Pass Minimization (beta = 1.0) (with area information)" << endl;
// PrintJets(njet_jets_area);
// cout << "Event-wide Axis Location for Above Jets (with area information)" << endl;
// PrintJets(njet_axes_area);
// cout << "Event-wide Jets from Geometric Measure (with area information)" << endl;
// PrintJets(geo_jets_area);
// printf("-------------------------------------------------------------------------------------"); printf("\n");
}
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