Rivet analyses
Σc0, +, ++ and Λc from Σc0, +, ++ analysis
Experiment: ALICE (LHC)
Inspire ID: 1868463
Status: VALIDATED
Authors: - Marco Giacalone
References: - Phys.Rev.Lett. 128 (2022) 012001, 2022 - DOI:10.1103/PhysRevLett.128.012001 - arXiv: 2106.08278
Beams: p+ p+
Beam energies: (6500.0, 6500.0)GeV
Run details: - Minimum bias events
The pT-differential production cross sections of prompt D0, Λc+, and Σc0, ++(2455) charmed hadrons are measured at midrapidity (|y| < 0.5) in pp collisions at $\sqrt{s}=13$~TeV. This is the first measurement of Σc0, ++ production in hadronic collisions. Assuming the same production yield for the three Σc0, +, ++ isospin states, the baryon-to-meson cross section ratios Σc0, +, ++/D0 and Λc+/D0 are calculated in the transverse momentum (pT) intervals 2 < pT < 12~GeV/c and 1 < pT < 24 ~GeV/c. Values significantly larger than in e+e− collisions are observed, indicating for the first time that baryon enhancement in hadronic collisions also extends to the Σc. The feed-down contribution to Λc+ production from Σc0, +, ++ is also reported and is found to be larger than in e+e− collisions. The data are compared with predictions from event generators and other phenomenological models, providing a sensitive test of the different charm-hadronisation mechanisms implemented in the models.
Source
code:ALICE_2022_I1868463.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/UnstableParticles.hh"
namespace Rivet {
/// @brief Measurement of prompt charm hadrons production in proton-proton Collisions at 13 TeV
class ALICE_2022_I1868463 : public Analysis {
public:
/// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(ALICE_2022_I1868463);
/// @name Analysis methods
///@{
/// Book histograms and initialise projections before the run
void init() {
// Initialise and register projections
// The basic final-state projection:
// all final-state particles within
// the given eta acceptance
const UnstableParticles up(Cuts::absrap < 0.5);
declare(up, "up");
book(_h_D0, 1, 1, 1);
book(_h_Lc, 2, 1, 1);
book(_h_Sc, 3, 1, 1);
book(_h_LcfromSc, 4, 1, 1);
book(_h_LcD0, 5, 1, 1);
book(_h_ScD0, 6, 1, 1);
book(_h_LcfromScLc, 7, 1, 1);
book(_h_D04Sc, "TMP/D04Sc", refData(3, 1, 1));
book(_h_Lc4Ratio, "TMP/Lc4Ratio", refData(4, 1, 1));
}
/// Perform the per-event analysis
void analyze(const Event& event) {
const UnstableParticles& up = apply<UnstableParticles>(event, "up");
for (const Particle& p : up.particles()) {
if (p.fromBottom())
continue;
else {
if (p.abspid() == 4222 || p.abspid() == 4212 || p.abspid() == 4112)
_h_Sc->fill(p.pT() / GeV);
else if (p.abspid() == 4122) {
_h_Lc->fill(p.pT() / GeV);
_h_Lc4Ratio->fill(p.pT() / GeV);
if (p.hasAncestorWith(Cuts::pid == 4222) || p.hasAncestorWith(Cuts::pid == 4212)
|| p.hasAncestorWith(Cuts::pid == 4112) || p.hasAncestorWith(Cuts::pid == -4222)
|| p.hasAncestorWith(Cuts::pid == -4212) || p.hasAncestorWith(Cuts::pid == -4112))
_h_LcfromSc->fill(p.pT() / GeV);
}
else if (p.abspid() == 421) {
_h_D0->fill(p.pT() / GeV);
_h_D04Sc->fill(p.pT() / GeV);
}
}
}
}
/// Normalise histograms etc., after the run
void finalize() {
scale(_h_D0, crossSection() / (microbarn * 2 * sumOfWeights()));
scale(_h_Lc, crossSection() / (microbarn * 2 * sumOfWeights()));
scale(_h_LcfromSc, crossSection() / (microbarn * 2 * sumOfWeights()));
scale(_h_Lc4Ratio, crossSection() / (microbarn * 2 * sumOfWeights()));
scale(_h_Sc, crossSection() / (microbarn * 2 * sumOfWeights()));
scale(_h_D04Sc,
crossSection()
/ (microbarn * 2 * sumOfWeights())); // norm to generated cross-section in pb (after cuts)
divide(_h_Sc, _h_D04Sc, _h_ScD0);
divide(_h_Lc, _h_D0, _h_LcD0);
divide(_h_LcfromSc, _h_Lc4Ratio, _h_LcfromScLc);
}
///@}
/// @name Histograms
///@{
Histo1DPtr _h_Sc, _h_D0, _h_D04Sc, _h_LcfromSc, _h_Lc, _h_Lc4Ratio;
Estimate1DPtr _h_LcD0, _h_ScD0, _h_LcfromScLc;
///@}
};
RIVET_DECLARE_PLUGIN(ALICE_2022_I1868463);
}