Abstract

The Compressed Baryonic Matter experiment (CBM) performance for proton anisotropic flow measurements is studied with Monte-Carlo simulations using collisions of gold ions at lab momentum of 12A GeV/c employing DCM-QGSM-SMM heavy-ion event generator. Realistic procedures are used for centrality estimation with the number of registered tracks and particle identification with information from Time-Of-Flight detector. Variation of directed flow estimates depending on various combinations of PSD modules is used to evaluate possible systematic biases due to collision symmetry plane estimation.

Highlights

  • The Compressed Baryonic Matter experiment (CBM) at FAIR is designed to study the phase diagram of strongly-interacting matter in the area of moderate temperatures and high√net baryon densities with heavy ion collisions at beam momenta of 3.3–12A GeV/c per nucleon

  • The Compressed Baryonic Matter experiment (CBM) performance for proton anisotropic flow measurements is studied with Monte-Carlo simulations using collisions of gold ions at lab momentum of 12A GeV/c employing DCM-QGSM-SMM heavy-ion event generator

  • Variation of directed flow estimates depending on various combinations of Projectile Spectator Detector (PSD) modules is used to evaluate possible systematic biases due to collision symmetry plane estimation

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Summary

Introduction

The Compressed Baryonic Matter experiment (CBM) at FAIR is designed to study the phase diagram of strongly-interacting matter in the area of moderate temperatures and high√net baryon densities with heavy ion collisions at beam momenta of 3.3–12A GeV/c per nucleon ( sNN =2.9– 4.9 GeV). The Compressed Baryonic Matter experiment (CBM) performance for proton anisotropic flow measurements is studied with Monte-Carlo simulations using collisions of gold ions at lab momentum of 12A GeV/c employing DCM-QGSM-SMM heavy-ion event generator. Realistic procedures are used for centrality estimation with the number of registered tracks and particle identification with information from Time-Of-Flight detector.

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