The BEST framework for the search for the QCD critical point and the chiral magnetic effect
Abstract
The Beam Energy Scan Theory (BEST) Collaboration was formed with the goal of providing a theoretical framework for analyzing data from the Beam Energy Scan (BES) program at the relativistic heavy ion collider (RHIC) at Brookhaven National Laboratory. The physics goal of the BES program is the search for a conjectured QCD critical point as well as for manifestations of the chiral magnetic effect. We describe progress that has been made over the previous five years. This includes studies of the equation of state and equilibrium susceptibilities, the development of suitable initial state models, progress in constructing a hydrodynamic framework that includes fluctuations and anomalous transport effects, as well as the development of freezeout prescriptions and hadronic transport models. Finally, we address the challenge of integrating these components into a complete analysis framework. This document describes the collective effort of the BEST Collaboration and its collaborators around the world.
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Cite
@article{arxiv.2108.13867,
title = {The BEST framework for the search for the QCD critical point and the chiral magnetic effect},
author = {Xin An and Marcus Bluhm and Lipei Du and Gerald V. Dunne and Hannah Elfner and Charles Gale and Joaquin Grefa and Ulrich Heinz and Anping Huang and Jamie M. Karthein and Dmitri E. Kharzeev and Volker Koch and Jinfeng Liao and Shiyong Li and Mauricio Martinez and Michael McNelis and Debora Mroczek and Swagato Mukherjee and Marlene Nahrgang and Angel R. Nava Acuna and Jacquelyn Noronha-Hostler and Dmytro Oliinychenko and Paolo Parotto and Israel Portillo and Maneesha Sushama Pradeep and Scott Pratt and Krishna Rajagopal and Claudia Ratti and Gregory Ridgway and Thomas Schaefer and Bjoern Schenke and Chun Shen and Shuzhe Shi and Mayank Singh and Vladimir Skokov and Dam T. Son and Agnieszka Sorensen and Mikhail Stephanov and Raju Venugopalan and Volodymyr Vovchenko and Ryan Weller and Ho-Ung Yee and Yi Yin},
journal= {arXiv preprint arXiv:2108.13867},
year = {2021}
}
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103 pages