Python implementation of Glauber Monte Carlo model

Henry Ding; Zecheng Qi; Dihuan Wang; Wenjie Zhou

doi:10.1117/12.3000086

23 August 2023 Python implementation of Glauber Monte Carlo model

Henry Ding, Zecheng Qi, Dihuan Wang, Wenjie Zhou

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127842Q (2023) https://doi.org/10.1117/12.3000086
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

The Glauber Monte Carlo (MC) model can calculate the relevant initial collision geometry of heavy-ion collisions, including the number of participating nucleons, the number of nucleon-nucleon collisions, and elliptical/triangular flow parameters of the collision overlap region. This paper describes a new implementation of the Glauber MC model using the NumPy Python library, allowing for rapid prototyping of new model features with the Python language and integration with extensive Python computational science tools. Our implementation is verified against calculations made by existing Glauber MC models of impact parameter, eccentricity, and triangularity. This paper additionally investigates a new metric for determining the elliptical nature of the collision geometry and assesses its relevance to event-shape engineering.

Citation Download Citation

Henry Ding, Zecheng Qi, Dihuan Wang, and Wenjie Zhou "Python implementation of Glauber Monte Carlo model", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127842Q (23 August 2023); https://doi.org/10.1117/12.3000086

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