Testing a Best-Fit Hydrodynamical Model Using PCA

Tiago Silva; David Chinellato; Rafael Souza; Maurício Hippert; Matthew Luzum; Jorge Noronha; Jun Takahashi

doi:10.3390/proceedings2019010005

Testing a Best-Fit Hydrodynamical Model Using PCA

Tiago Silva, David Chinellato, Rafael Souza, Maurício Hippert, Matthew Luzum, Jorge Noronha, Jun Takahashi

Research output: Contribution to journal › Article › peer-review

Abstract

Recently, a comprehensive Bayesian analysis was performed to simultaneously extract the values of a number of hydrodynamic parameters necessary for compatibility with a limited set of experimental data from the LHC. In this work, this best-fit model is tested against newly measured experimental flow results not included in the original work, namely the principal components of the two-particle correlation matrix in transverse momentum. The results from simulations show a good numerical agreement with data obtained by the CMS Collaboration.

Original language	English (US)
Number of pages	5
Journal	Proceedings
Volume	10
Issue number	1
DOIs	https://doi.org/10.3390/proceedings2019010005
State	Published - Apr 10 2019
Externally published	Yes

Keywords

heavy-ion collisions
quark-gluon plasma
relativistic fluid dynamics
principal component analysis

Online availability

10.3390/proceedings2019010005License: CC BY

Library availability

Discover UIUC Full Text

Cite this

@article{7fc41a5eae0e4b08892dc5afc66f2973,

title = "Testing a Best-Fit Hydrodynamical Model Using PCA",

abstract = "Recently, a comprehensive Bayesian analysis was performed to simultaneously extract the values of a number of hydrodynamic parameters necessary for compatibility with a limited set of experimental data from the LHC. In this work, this best-fit model is tested against newly measured experimental flow results not included in the original work, namely the principal components of the two-particle correlation matrix in transverse momentum. The results from simulations show a good numerical agreement with data obtained by the CMS Collaboration. ",

keywords = "heavy-ion collisions, quark-gluon plasma, relativistic fluid dynamics, principal component analysis",

author = "Tiago Silva and David Chinellato and Rafael Souza and Maur{\'i}cio Hippert and Matthew Luzum and Jorge Noronha and Jun Takahashi",

year = "2019",

month = apr,

day = "10",

doi = "10.3390/proceedings2019010005",

language = "English (US)",

volume = "10",

journal = "Proceedings",

issn = "2504-3900",

number = "1",

}

TY - JOUR

T1 - Testing a Best-Fit Hydrodynamical Model Using PCA

AU - Silva, Tiago

AU - Chinellato, David

AU - Souza, Rafael

AU - Hippert, Maurício

AU - Luzum, Matthew

AU - Noronha, Jorge

AU - Takahashi, Jun

PY - 2019/4/10

Y1 - 2019/4/10

N2 - Recently, a comprehensive Bayesian analysis was performed to simultaneously extract the values of a number of hydrodynamic parameters necessary for compatibility with a limited set of experimental data from the LHC. In this work, this best-fit model is tested against newly measured experimental flow results not included in the original work, namely the principal components of the two-particle correlation matrix in transverse momentum. The results from simulations show a good numerical agreement with data obtained by the CMS Collaboration.

AB - Recently, a comprehensive Bayesian analysis was performed to simultaneously extract the values of a number of hydrodynamic parameters necessary for compatibility with a limited set of experimental data from the LHC. In this work, this best-fit model is tested against newly measured experimental flow results not included in the original work, namely the principal components of the two-particle correlation matrix in transverse momentum. The results from simulations show a good numerical agreement with data obtained by the CMS Collaboration.

KW - heavy-ion collisions

KW - quark-gluon plasma

KW - relativistic fluid dynamics

KW - principal component analysis

U2 - 10.3390/proceedings2019010005

DO - 10.3390/proceedings2019010005

M3 - Article

SN - 2504-3900

VL - 10

JO - Proceedings

JF - Proceedings

IS - 1

ER -

Testing a Best-Fit Hydrodynamical Model Using PCA

Abstract

Keywords

Online availability

Library availability

Fingerprint

Cite this