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Bayesian Extraction of Jet Energy Loss Distributions in Heavy-Ion Collisions

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成果类型:
期刊论文
作者:
He, Yayun;Pang, Long-Gang*;Wang, Xin-Nian*
通讯作者:
Wang, Xin-Nian;Pang, Long-Gang
作者机构:
[Wang, Xin-Nian; He, Yayun] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Hubei, Peoples R China.
[Wang, Xin-Nian; He, Yayun] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Hubei, Peoples R China.
[Pang, Long-Gang; Wang, Xin-Nian; He, Yayun] Lawrence Berkeley Natl Lab, Nucl Sci Div, Berkeley, CA 94720 USA.
[Pang, Long-Gang; Wang, Xin-Nian] Univ Calif Berkeley, Dept Phys, Berkeley, CA 94720 USA.
通讯机构:
[Wang, Xin-Nian] C
[Pang, LG; Wang, XN] L
[Pang, LG; Wang, XN] U
Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Hubei, Peoples R China.
Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
期刊:
PHYSICAL REVIEW LETTERS
ISSN:
0031-9007
年:
2019
卷:
122
期:
25
页码:
252302
基金类别:
We thank T. Luo for providing LBT γ -jet results. This work is supported by DOE under Contract No. DE-AC02-05CH11231, by NSF under Grant No. ACI-1550228 within the JETSCAPE Collaboration, by NSFC under Grants No. 11890714 and No. 11861131009. Computations are performed at GPU workstations at CCNU and DOE NERSC.
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
摘要:
Based on the factorization in perturbative QCD, a jet cross section in heavy-ion collisions can be expressed as a convolution of the jet cross section in p+p collisions and a jet energy loss distribution. Using this simple expression and the Markov Chain Monte Carlo method, we carry out Bayesian analyses of experimental data on jet spectra to extract energy loss distributions for both single inclusive and γ-triggered jets in Pb+Pb collisions with different centralities at two colliding energies at the Large Hadron Collider. The average jet ene...

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