2016/10/31 by Nirbhay K. Behera, N. K. Behera, Sadhana Dash +5
Engineering · Mathematics · Physics and Astronomy · #Charged particle #Collision #Computer science #Engineering #Geometry #Glauber #High-Energy Particle Collisions Research #Ion #Large Hadron Collider #Mathematics #Monte Carlo method #Multiplicity (mathematics) #Negative binomial distribution #Nuclear physics #Nuclear reactor physics and engineering #Optics #Particle physics theoretical and experimental studies #Physics #Poisson distribution #Scattering #Statistical physics #Statistics #Transverse plane #Weibull distribution #hep-ex #hep-ph #nucl-ex #nucl-th
paper · pdf · doi:10.1103/physrevc.96.054906
published as Phys. Rev. C 96, 054906 (2017) · 5 pages, 6 figures, published version
openalex publication_date 2017/11/14 · arxiv created 2017/11/19 · arxiv updated 2017/11/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
The charged-particle multiplicity distribution and the transverse-energy distribution measured in heavy-ion collisions at top RHIC and LHC energies are described using the two-component model approach based on a convolution of the Monte Carlo Glauber model with the Weibull model for particle production. The model successfully describes the multiplicity and transverse-energy distribution of minimum-bias collision data for a wide range of energies. The Weibull-Glauber model can be used to determine the centrality classes in heavy-ion collisions as an alternative to the conventional negative binomial distribution (NBD)-Glauber approach.