1-8 July 2022
Virtual Conference
Africa/Johannesburg timezone
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Statistical thermal models for particle reproduction in heavy ion collisions

4 Jul 2022, 15:00
15m
Zoom Platform (Virtual Conference)

Zoom Platform

Virtual Conference

Oral Presentation Track G - Theoretical and Computational Physics Theoretical and Computational Physics

Speaker

Mr Kudzai Sithole (University of the Western Cape)

Description

The quantity of various particles reported in relativistic heavy-ion collision research is consistent with the notion that they attain thermal equilibrium at temperatures substantially higher than those at which they kinetically freeze-out, which is a remarkable conclusion. This study attempts to explain this phenomenon by using statistical thermal models based on statistical mechanics theories to simulate the behavior, properties, and distribution of matter at extreme temperatures of microscopic matter. Additionally, the focus of the study is to apply statistical thermal models to determine how particle ratios and densities are influenced by temperature for particles produced in heavy-ion collisions. Statistical thermodynamics models are applied in the last stage of heavy ion collision which is hypothesized to be in thermal equilibrium. The reason for this is that, as the temperature rises beyond 200 MeV, the quark-gluon plasma begins to form, and after the quark-gluon plasma forms, hadronization occurs, resulting in the production of elementary particles. The ratios of these elementary particles, kaons, pions, anti-protons, and protons, were calculated and found to be in good agreement with the experimental results obtained from other studies. In conclusion, the study obtained the p ̅/p, K/π ratio, and u-quark and gluon densities plots as a function of temperature.

Level for award;(Hons, MSc, PhD, N/A)?

MSc

Apply to be considered for a student ; award (Yes / No)? Yes

Primary authors

Refiloe Innocencia Maphoto (University of Limpopo) Ms Boineelo Sekori (Sol Plaatje University) Mr Kudzai Sithole (University of the Western Cape) Mr Vincent Masilela (University of Johannesburg) Ms Thuthukile Khumalo (Wits/iThemba LABS)

Presentation Materials

Peer reviewing

Paper