Rivet analyses
Measurement of D*± meson production in deep inelastic scattering at HERA
Experiment: H1 (HERA)
Inspire ID: 561885
Status: VALIDATED
Authors: - Madhav Chithirasreemadam - Hannes Jung
References: none listed
Beams: p+ e-, e- p+
Beam energies: (820.0, 27.5); (27.5, 820.0)GeV
Run details: none listed
The inclusive production of D*± (2010) mesons in deep-inelastic scattering is studied with the H1 detector at HERA. In the kinematic region $1 < Q^2 < 100 $ GeV2 and 0.05 < y < 0.7 in e+p cross section for inclusive D*± meson production is measured in the visible range pTD* > 1.5 GeV and $|^{D*}| < 1.5 $.
Source
code:H1_2002_I561885.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/FastJets.hh"
#include "Rivet/Projections/DISKinematics.hh"
#include "Rivet/Projections/UnstableParticles.hh"
namespace Rivet {
/// @brief Measurement of D*+- meson production in deep inelastic scattering at HERA (H1)
class H1_2002_I561885 : public Analysis {
public:
/// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(H1_2002_I561885);
/// @name Analysis methods
///@{
/// Book histograms and initialise projections before the run
void init() {
declare(DISKinematics(), "Kinematics");
declare(UnstableParticles(), "Dstars");
//Cuts::abspid == PID::DSTARPLUS
// Initialise and register projections
Histo1DPtr dummy; //Introducing
// Book histograms
book(_h["W_GeV"], 2, 1, 1);
book(_h["p_tD*"], 3, 1, 1);
book(_h["logx"], 4, 1, 1);
book(_h["etaD*"], 5, 1, 1);
book(_h_Q2 , 6, 1, 1);
book(_h["Z_D*"], 7, 1, 1);
book(_h_Q2eta, {-1.5, -0.5, 0.5, 1.5}, {"d08-x01-y01", "d08-x01-y02", "d08-x01-y03"});
book(_h_Q2pt, {1.5, 4., 10.}, {"d09-x01-y01", "d09-x01-y02"});
book(_h_eta1, {0., 0.25, 0.5, 1.}, {"d10-x01-y01", "d10-x01-y02", "d10-x01-y03"});
book(_h_eta2, {1.5, 2.5, 4., 10.}, {"d11-x01-y01", "d11-x01-y02", "d11-x01-y03"});
book(_h_zD1, {1.5, 2.5, 4., 10.}, {"d12-x01-y01", "d12-x01-y02", "d12-x01-y03"});
_axes["Q2"] = YODA::Axis<double>{1., 2.371, 4.218, 10.0, 17.78, 31.62,100.0};
_axes["Q2eta"] = YODA::Axis<double>{1.0, 9.0, 20.0,100.0};
_axes["Q2pt"] = YODA::Axis<double>{1.0, 3.0, 8.0, 20.0, 100.0};
}
/// Perform the per-event analysis
void analyze(const Event& event) {
if (_edges.empty()) {
_edges["Q2" ] = _h_Q2->xEdges();
_edges["Q2eta"] = _h_Q2eta->bins()[1]->xEdges();
_edges["Q2pt" ] = _h_Q2pt ->bins()[1]->xEdges();
}
const DISKinematics& kin = apply<DISKinematics>(event, "Kinematics");
// Q2 and inelasticity cuts
if (!inRange(kin.Q2(), 1.0*GeV2, 100*GeV2)) vetoEvent;
if (!inRange(kin.y(), 0.05, 0.7)) vetoEvent;
// D* reconstruction
// const Particles unstables = apply<ParticleFinder>(event, "Dstars").particles(Cuts::pT > 1.5*GeV && Cuts::abseta < 1.5);
const Particles unstables = apply<ParticleFinder>(event, "Dstars").particles(Cuts::pT > 1.5*GeV );
const Particles dstars = select(unstables, [](const Particle& p){ return p.abspid() == PID::DSTARPLUS; });
if (dstars.empty()) vetoEvent;
// MSG_DEBUG("#D* = " << dstars.size());
//const Particle& dstar = dstars.front();
for (const Particle& dstar : dstars){
const double zD = (dstar.E() - dstar.pz()) / (2*kin.beamLepton().E()*kin.y());
// Single-differential histograms
_h["p_tD*"]->fill(dstar.pT()/GeV);
_h["etaD*"]->fill(dstar.eta());
_h["Z_D*"]->fill(zD/GeV);
size_t idx = _axes["Q2"].index(kin.Q2()/GeV2);
string edge = "OTHER";
if(idx && idx <= _edges["Q2"].size()) edge=_edges["Q2"][idx-1];
_h_Q2->fill(edge);
_h["W_GeV"]->fill(sqrt(kin.W2())/GeV);
_h["logx"]->fill(log10(kin.x()));
// Double-differential (y,Q2) histograms
idx = _axes["Q2eta"].index(kin.Q2()/GeV2);
edge = "OTHER";
if(idx && idx <= _edges["Q2eta"].size()) edge=_edges["Q2eta"][idx-1];
_h_Q2eta->fill(dstar.eta(),edge);
idx = _axes["Q2pt"].index(kin.Q2()/GeV2);
edge = "OTHER";
if(idx && idx <= _edges["Q2pt"].size()) edge=_edges["Q2pt"][idx-1];
_h_Q2pt->fill(dstar.pT(),edge);
_h_eta1->fill(zD, dstar.eta());
_h_eta2->fill(dstar.pT(), dstar.eta());
_h_zD1->fill(dstar.pT(), zD/GeV);
}
}
/// Normalise histograms etc., after the run
void finalize() {
const double sf = crossSection()/nanobarn/sumOfWeights();
scale(_h["p_tD*"], sf);
scale(_h["etaD*"], sf);
scale(_h["Z_D*"], sf);
scale(_h_Q2 , sf);
for(auto & b : _h_Q2->bins()) {
const size_t idx=b.index();
b.scaleW(1./_axes["Q2"].width(idx));
}
scale(_h["W_GeV"], sf);
scale(_h["logx"], sf);
scale(_h_Q2eta, sf);
for(auto & histo : _h_Q2eta->bins()) {
for(auto & b : histo->bins()) {
const size_t idx=b.index();
b.scaleW(1./_axes["Q2eta"].width(idx));
}
}
scale(_h_Q2pt, sf);
for(auto & histo : _h_Q2pt->bins()) {
for(auto & b : histo->bins()) {
const size_t idx=b.index();
b.scaleW(1./_axes["Q2pt"].width(idx));
}
}
scale(_h_eta1, sf);
scale(_h_eta2, sf);
scale(_h_zD1, sf);
// distributionsa are really double differential divide by group width
_h_Q2eta->divByGroupWidth();
_h_Q2pt ->divByGroupWidth();
_h_eta1 ->divByGroupWidth();
_h_eta2 ->divByGroupWidth();
_h_zD1 ->divByGroupWidth();
}
///@}
/// @name Histograms
///@{
map<string, Histo1DPtr> _h;
map<string, Profile1DPtr> _p;
map<string, CounterPtr> _c;
HistoGroupPtr<double,string> _h_Q2eta, _h_Q2pt;
Histo1DGroupPtr _h_eta1,_h_eta2,_h_zD1;
BinnedHistoPtr<string> _h_Q2;
map<string,YODA::Axis<double> > _axes;
map<string,vector<string> > _edges;
///@}
};
RIVET_DECLARE_PLUGIN(H1_2002_I561885);
}