2 #include "Rivet/Analysis.hh"
3 #include "Rivet/RivetAIDA.hh"
4 #include "Rivet/Tools/Logging.hh"
5 #include "Rivet/Projections/FinalState.hh"
6 #include "Rivet/Projections/FastJets.hh"
7 #include "Rivet/Projections/WFinder.hh"
8 #include "Rivet/Projections/ZFinder.hh"
9 #include "Rivet/Particle.hh"
10 #include "Rivet/Tools/ParticleIdUtils.hh"
11 #include "fastjet/tools/Filter.hh"
12 #include "fastjet/tools/Pruner.hh"
25 : Analysis(
"CMS_TEST_ANALYSIS"),
26 _filter(fastjet::
Filter(fastjet::JetDefinition(fastjet::cambridge_algorithm, 0.3), fastjet::SelectorNHardest(3))),
27 _trimmer(fastjet::
Filter(fastjet::JetDefinition(fastjet::kt_algorithm, 0.2), fastjet::SelectorPtFractionMin(0.03))),
28 _pruner(fastjet::Pruner(fastjet::cambridge_algorithm, 0.1, 0.5))
41 FinalState fs(-2.4, 2.4, 0*GeV);
42 addProjection(fs,
"FS");
45 addProjection(FastJets(fs, FastJets::ANTIKT, 0.7),
"JetsAK7");
46 addProjection(FastJets(fs, FastJets::CAM, 0.8),
"JetsCA8");
47 addProjection(FastJets(fs, FastJets::CAM, 1.2),
"JetsCA12");
62 const double ptBins_dj[
N_PT_BINS_dj+1] = { 220.0, 300.0, 450.0, 500.0, 600.0, 800.0, 1000.0, 1500.0};
64 if (inRange(ptJ, ptBins_dj[ibin], ptBins_dj[ibin+1]))
return ibin;
72 const double weight =
event.weight();
75 const PseudoJets& psjetsAK7 = applyProjection<FastJets>(
event,
"JetsAK7").pseudoJetsByPt( 50.0*GeV );
76 if (psjetsAK7.size() < 2) vetoEvent;
79 const fastjet::PseudoJet& j0 = psjetsAK7[0];
80 const fastjet::PseudoJet& j1 = psjetsAK7[1];
81 double ptAvg = 0.5 * (j0.pt() + j1.pt());
84 const size_t njetBin =
findPtBin(ptAvg/GeV);
88 fastjet::PseudoJet filtered0 =
_filter(j0);
89 fastjet::PseudoJet filtered1 =
_filter(j1);
90 fastjet::PseudoJet trimmed0 =
_trimmer(j0);
91 fastjet::PseudoJet trimmed1 =
_trimmer(j1);
92 fastjet::PseudoJet pruned0 =
_pruner(j0);
93 fastjet::PseudoJet pruned1 =
_pruner(j1);
105 const double normalizationVal = 1000;
AIDA::IHistogram1D * _h_prunedAvgJetMass_dj[N_PT_BINS_dj]
AIDA::IHistogram1D * _h_ungroomedJet1pt
DECLARE_RIVET_PLUGIN(CMS_TEST_ANALYSIS)
AIDA::IHistogram1D * _h_trimmedAvgJetMass_dj[N_PT_BINS_dj]
size_t findPtBin(double ptJ)
void analyze(const Event &event)
Perform the per-event analysis.
AIDA::IHistogram1D * _h_filteredAvgJetMass_dj[N_PT_BINS_dj]
enum Rivet::CMS_TEST_ANALYSIS::@337 BINS_dj
AIDA::IHistogram1D * _h_ungroomedAvgJetMass_dj[N_PT_BINS_dj]
How EventSelector::AcceptEvent() decides whether to accept an event for output otherwise it is excluding the probing of A single or multiple positive and the trigger will pass if any such matching triggers are PASS or EXCEPTION[A criterion thatmatches no triggers at all is detected and causes a throw.] A single negative with an expectation of appropriate bit checking in the decision and the trigger will pass if any such matching triggers are FAIL or EXCEPTION A wildcarded negative criterion that matches more than one trigger in the trigger but the state exists so we define the behavior If all triggers are the negative crieriion will lead to accepting the event(this again matches the behavior of"!*"before the partial wildcard feature was incorporated).The per-event"cost"of each negative criterion with multiple relevant triggers is about the same as!*was in the past
void finalize()
Normalise histograms etc., after the run.
const fastjet::Filter _filter
void init()
Book histograms and initialise projections before the run.
CMS_TEST_ANALYSIS()
Constructor.
AIDA::IHistogram1D * _h_ungroomedJet0pt
const fastjet::Filter _trimmer
const fastjet::Pruner _pruner