Rivet analyses
title: CMS_2011_I916908
Traditional leading jet UE measurement at $\sqrt{s} = 0.9$ and 7 TeV
Experiment: CMS (LHC)
Inspire ID: 916908
Status: VALIDATED
Authors: - Mohammed Zakaria
References: - J. High Energy Phys 09 (2011) 109
Beams: p+ p+
Beam energies: (450.0, 450.0); (3500.0, 3500.0)GeV
Run details: - Requires inclusive inelastic events (non-diffractive and inelastic diffractive). The profile plots require large statistics.
A measurement of the underlying activity in scattering processes with a hard scale in the several-GeV region is performed in proton-proton collisions at Energies of 0.9 and 7~TeV, using data collected by the CMS experiment at the LHC. The production of charged particles with pseudorapidity $|\eta| < 2$ and transverse momentum $p_\text{T} > 0.5$~GeV/$c$ is studied in the azimuthal region transverse to that of the leading set of charged particles forming a track-jet. Various comparisons are made between the two different energies and also beteen two sets of cuts on $p_\text{T}$ for leading track jet $p_\text{T}$-leading $> 3$~GeV and $p_\text{T}$-leading $> 20$~GeV. The activity is studied using 5 types of plots. Two profile plots for the multiplicity of charged particles and the scalar sum of $p_\text{T}$, and three distributions for the two previous quantities as well as $p_\text{T}$ for all the particles in the transverse region.
Source code:CMS_2011_I916908.cc
```c++ // -- C++ --
include "Rivet/Analysis.hh"
include "Rivet/Projections/ChargedFinalState.hh"
include "Rivet/Projections/FastJets.hh"
include "Rivet/Projections/FinalState.hh"
namespace Rivet {
/// UE charged particles vs. leading jet class CMS_2011_I916908 : public Analysis { public:
RIVET_DEFAULT_ANALYSIS_CTOR(CMS_2011_I916908);
void init() {
const ChargedFinalState cfs(Cuts::abseta < 2.0 && Cuts::pT >= 500 * MeV);
declare(cfs, "CFS");
const ChargedFinalState cfsforjet(Cuts::abseta < 2.5 && Cuts::pT >= 500 * MeV);
const FastJets jetpro(cfsforjet, JetAlg::SISCONE, 0.5);
declare(jetpro, "Jets");
for (double eVal : allowedEnergies()) {
const string en = toString(round(eVal));
if (isCompatibleWithSqrtS(eVal)) _sqs = en;
if (en == "7000"s) {
book(_p[en + "Nch_vs_pT"], 1, 1, 1); // Nch vs. pT_max
book(_p[en + "Sum_vs_pT"], 2, 1, 1); // sum(pT) vs. pT_max
book(_h[en + "pT3_Nch"], 5, 1, 1); // transverse Nch, pT_max > 3GeV
book(_h[en + "pT3_Sum"], 6, 1, 1); // transverse sum(pT), pT_max > 3GeV
book(_h[en + "pT3_pT"], 7, 1, 1); // transverse pT, pT_max > 3GeV
book(_h[en + "pT20_Nch"], 8, 1, 1); // transverse Nch, pT_max > 20GeV
book(_h[en + "pT20_Sum"], 9, 1, 1); // transverse sum(pT), pT_max > 20GeV
book(_h[en + "pT20_pT"], 10, 1, 1); // transverse pT, pT_max > 20GeV
}
else if (en == "900"s) {
book(_p[en + "Nch_vs_pT"], 3, 1, 1); // Nch vs. pT_max
book(_p[en + "Sum_vs_pT"], 4, 1, 1); // sum(pT) vs. pT_max
book(_h[en + "pT3_Nch"], 11, 1, 1); // transverse Nch, pT_max > 3GeV
book(_h[en + "pT3_Sum"], 12, 1, 1); // transverse sum(pT), pT_max > 3GeV
book(_h[en + "pT3_pT"], 13, 1, 1); // transverse pT, pT_max > 3GeV
}
book(_c[en + "pT3"], "TMP/nch_tot_pT3" + en);
book(_c[en + "pT20"], "TMP/nch_tot_pT20" + en);
}
raiseBeamErrorIf(_sqs.empty());
}
/// Perform the per-event analysis
void analyze(const Event& event) {
// Find the lead jet, applying a restriction that the jets must be within |eta| < 2.
FourMomentum p_lead;
for (const Jet& j :
apply<FastJets>(event, "Jets").jetsByPt(Cuts::pT > 1.0 * GeV && Cuts::abseta < 2.0)) {
p_lead = j.momentum();
break;
}
if (p_lead.isZero()) vetoEvent;
const double philead = p_lead.phi();
const double pTlead = p_lead.pT();
Particles particles = apply<ChargedFinalState>(event, "CFS").particlesByPt();
int nTransverse = 0;
double ptSumTransverse = 0.;
for (const Particle& p : particles) {
double dphi = deltaPhi(philead, p.phi());
if (dphi > PI / 3. && dphi < PI * 2. / 3.) { // Transverse region
++nTransverse;
const double pT = p.pT() / GeV;
ptSumTransverse += pT;
if (pTlead > 3 * GeV) _h[_sqs + "pT3_pT"]->fill(pT / GeV);
if (_sqs == "7000"s && pTlead > 20 * GeV) _h[_sqs + "pT20_pT"]->fill(pT / GeV);
}
}
const double area = 8. / 3. * PI;
_p[_sqs + "Nch_vs_pT"]->fill(pTlead / GeV, 1. / area * nTransverse);
_p[_sqs + "Sum_vs_pT"]->fill(pTlead / GeV, 1. / area * ptSumTransverse);
if (pTlead > 3.0 * GeV) {
_h[_sqs + "pT3_Nch"]->fill(nTransverse);
_h[_sqs + "pT3_Sum"]->fill(ptSumTransverse / GeV);
_c[_sqs + "pT3"]->fill(nTransverse);
}
if (_sqs == "7000"s && pTlead > 20 * GeV) {
_h[_sqs + "pT20_Nch"]->fill(nTransverse);
_h[_sqs + "pT20_Sum"]->fill(ptSumTransverse / GeV);
_c[_sqs + "pT20"]->fill(nTransverse);
}
}
/// Normalise histograms etc., after the run
void finalize() {
for (double eVal : allowedEnergies()) {
const string en = toString(round(eVal));
if (_h[en + "pT3_pT"]->sumW()) {
normalize(_h[en + "pT3_pT"], dbl(*_c[en + "pT3"]) / _h[en + "pT3_Nch"]->sumW());
}
if (en == "7000"s && _h[en + "pT20_pT"]->sumW()) {
normalize(_h[en + "pT20_pT"], dbl(*_c[en + "pT20"]) / _h[en + "pT20_Nch"]->sumW());
}
}
for (auto& item : _h) {
if (item.first.find("_pT") != string::npos) continue;
normalize(item.second);
}
}
private:
/// @{
map<string, CounterPtr> _c;
map<string, Profile1DPtr> _p;
map<string, Histo1DPtr> _h;
string _sqs = "";
/// @}
};
RIVET_DECLARE_ALIASED_PLUGIN(CMS_2011_I916908, CMS_2011_S9120041);
} ```
Aliases: - CMS_2011_S9120041