Paper
14 October 2020 Adaptation of the therminator model for BES program
Author Affiliations +
Proceedings Volume 11581, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2020; 1158104 (2020) https://doi.org/10.1117/12.2576768
Event: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2020, 2020, Wilga, Poland
Abstract
THERMINATOR model is a Monte Carlo event generator invented to study the statistical production of particles created in relativistic heavy-ion collisions. Its current description allows one to study the highest collision energies achieved by LHC and RHIC colliders. However, it is possible to adapt THERMINATOR model to lower energy spectrum as is studied in Beam Energy Scan (BES) program at RHIC. Femtoscopy of two particles investigates the properties of matter produced in heavy-ion collisions. Two-particle correlations use Quantum Statistics and the Final State Interactions which allow one to examine the space-time characteristics of the medium. For the first time we present single- and two-particle momentum distributions of identified particles from THERMINATOR model for BES energy spectrum. To verify how model predictions agree with experimental results, we compare transverse momentum distributions of pions, kaons and protons and correlation functions of identical pions in Au+Au collisions to the BES program results from the STAR experiment.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hanna Paulina Zbroszczyk "Adaptation of the therminator model for BES program", Proc. SPIE 11581, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2020, 1158104 (14 October 2020); https://doi.org/10.1117/12.2576768
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Particles

Thermodynamics

Stars

Thermal modeling

Correlation function

Data modeling

Statistical modeling

Back to Top