Abstract

Spectra of identified charged hadrons are measured in pp collisions at the LHC for sqrt(s) = 0.9, 2.76, and 7 TeV. Charged pions, kaons, and protons in the transverse-momentum range pt approximately 0.1-1.7 GeV and for rapidities abs(y) < 1 are identified via their energy loss in the CMS silicon tracker. The average pt increases rapidly with the mass of the hadron and the event charged-particle multiplicity, independently of the center-of-mass energy. The fully corrected pt spectra and integrated yields are compared to various tunes of the PYTHIA6 and PYTHIA8 event generators.

Highlights

  • The study of hadron production has a long history in highenergy particle and nuclear physics, as well as cosmic-ray physics

  • The absolute yields and the transverse momentum spectra of identified hadrons in high-energy hadronhadron collisions are among the basic physical observables that can be used to test the predictions for non-perturbative quantum chromodynamics processes like hadronization and soft parton interactions, and their implementation in Monte Carlo (MC) event generators

  • The present analysis focuses on the measurement of the pT spectra of charged hadrons, identified mostly via their

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Summary

Introduction

The study of hadron production has a long history in highenergy particle and nuclear physics, as well as cosmic-ray physics. The absolute yields and the transverse momentum (pT) spectra of identified hadrons in high-energy hadronhadron collisions are among the basic physical observables that can be used to test the predictions for non-perturbative quantum chromodynamics processes like hadronization and soft parton interactions, and their implementation in Monte Carlo (MC) event generators. The dependence of these quantities on the hardness of the pp collision provides valuable information on multi-parton interactions as well as on other final-state effects. After a detailed discussion of the applied corrections (Sect. 6), the final results are shown in Sect. 7 and summarized in the conclusions

The CMS detector
Data analysis
Event selection and related corrections
Tracking of charged particles
Vertexing and secondary particles
Detector gain calibration with tracks
Fitting the log ε distributions
Additional information for particle identification
Determination of yields
Corrections
Systematic uncertainties
Results
Inclusive measurements
Multiplicity-dependent measurements
Conclusions
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