Abstract

Using a sample of 106 million $\psi(3686)$ decays, $\psi(3686) \to \gamma \chi_{cJ} (J = 0, 1, 2)$ and $\psi(3686) \to \gamma \chi_{cJ}, \chi_{cJ} \to \gamma J/\psi$ $(J = 1, 2)$ events are utilized to study inclusive $\chi_{cJ} \to$ anything, $\chi_{cJ} \to$ hadrons, and $J/\psi \to$ anything distributions, including distributions of the number of charged tracks, electromagnetic calorimeter showers, and $\pi^0$s, and to compare them with distributions obtained from the BESIII Monte Carlo simulation. Information from each Monte Carlo simulated decay event is used to construct matrices connecting the detected distributions to the input predetection "produced" distributions. Assuming these matrices also apply to data, they are used to predict the analogous produced distributions of the decay events. Using these, the charged particle multiplicities are compared with results from MARK I. Further, comparison of the distributions of the number of photons in data with those in Monte Carlo simulation indicates that G-parity conservation should be taken into consideration in the simulation.

Highlights

  • The multiplicity distributions of charged hadrons, which can be characterized by their means and dispersions, are an important observable in high energy collisions and an input to models of multihadron production

  • Using a sample of 106 million ψð3686Þ decays, ψð3686Þ → γχcJðJ 1⁄4 0; 1; 2Þ and ψð3686Þ → γχcJ; χcJ → γJ=ψ ðJ 1⁄4 1; 2Þ events are utilized to study inclusive χcJ → anything, χcJ → hadrons, and J=ψ → anything distributions, including distributions of the number of charged tracks, electromagnetic calorimeter showers, and π0s, and to compare them with distributions obtained from the BESIII Monte Carlo simulation

  • Since χcJ decays make up approximately 30% of ψð3686Þ decays, a better understanding of χcJ decays improves that of ψð3686Þ decays

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Summary

INTRODUCTION

The multiplicity distributions of charged hadrons, which can be characterized by their means and dispersions, are an important observable in high energy collisions and an input to models of multihadron production. JAlso at Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics, Fudan University, Shanghai 200443, People’s Republic of China. Our detected distributions are compared with MC simulation, and the results can be used to improve the LUNDCHARM model simulation, in particular for χcJ hadronic decays. Shower (EMCSH) was labeled a “photon”, but as described in Sec. IVA, showers include hadronic interactions in the EMC crystals and electronic noise, so here we will explicitly refer to them as EMCSHs. The comparison of data and inclusive ψð3686Þ MC simulation showed good agreement for charged track distributions and most. “Hadrons” is used very loosely and includes all processes except χcJ → γJ=ψ, such as other χcJ radiative decays and χcJ → γγ This analysis is based on the 106 million ψð3686Þ event sample sample gwaitthheriendteginrat2e0d09lu,mthineosciotyrreosfpo4n4dipnbg−1coanttipnuffisffiu1⁄4m. Additional EMCSH and π0 tables are included in an appendix

LUNDCHARM MODEL
Method
Results
MC study of EMC energy deposits
Nsh distribution
Multiplicity distribution of the number of π0s
PRODUCED DISTRIBUTIONS
PNPch distributions
Mean charged multiplicity and dispersion
PNPγ distributions
Input-output check
SYSTEMATIC UNCERTAINTIES
Findings
VIII. SUMMARY
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