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Title: Mapping the QCD phase diagram with statistics-friendly distributions

Abstract

We demonstrate that the multiplicity distribution of a system located in the vicinity of a first-order phase transition can be successfully measured in terms of its factorial cumulants with a surprisingly small number of events. This finding has direct implications for the experimental search of a QCD phase transition conjectured to be located in the high baryon density region of the QCD phase diagram.

Authors:
;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Nuclear Physics (NP) (SC-26)
OSTI Identifier:
1580983
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Journal Article
Journal Name:
Physical Review C
Additional Journal Information:
Journal Volume: 100; Journal Issue: 5; Journal ID: ISSN 2469-9985
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English

Citation Formats

Bzdak, Adam, and Koch, Volker. Mapping the QCD phase diagram with statistics-friendly distributions. United States: N. p., 2019. Web. doi:10.1103/physrevc.100.051902.
Bzdak, Adam, & Koch, Volker. Mapping the QCD phase diagram with statistics-friendly distributions. United States. doi:10.1103/physrevc.100.051902.
Bzdak, Adam, and Koch, Volker. Fri . "Mapping the QCD phase diagram with statistics-friendly distributions". United States. doi:10.1103/physrevc.100.051902.
@article{osti_1580983,
title = {Mapping the QCD phase diagram with statistics-friendly distributions},
author = {Bzdak, Adam and Koch, Volker},
abstractNote = {We demonstrate that the multiplicity distribution of a system located in the vicinity of a first-order phase transition can be successfully measured in terms of its factorial cumulants with a surprisingly small number of events. This finding has direct implications for the experimental search of a QCD phase transition conjectured to be located in the high baryon density region of the QCD phase diagram.},
doi = {10.1103/physrevc.100.051902},
journal = {Physical Review C},
issn = {2469-9985},
number = 5,
volume = 100,
place = {United States},
year = {2019},
month = {11}
}

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