4.2 Article

pT-dependent multiplicity fluctuations from PCA and initial conditions

期刊

NUCLEAR PHYSICS A
卷 1005, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.nuclphysa.2020.121892

关键词

Collective flow; Particle correlations and fluctuations

资金

  1. CNPq (Conselho Nacional de Desenvolvimento Cient'ifico) [310141/20168, 205369/2018-9, 312932/2018-9]
  2. FAPEMIG (Fundacao de Amparo a Pesquisa do Estado de Minas Gerais) [APQ-02107-16]
  3. FAPESP (Fundacao de Amparo `a Pesquisa do Estado de Sao Paulo) [2018/18075-0, 2018/24720-6, 2016/24029-6, 2017/05685-2]
  4. Instituto de Fisica-USP through CNPq
  5. Instituto de Fisica-USP through CAPES (Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior)
  6. USP-COFECUB [Uc Ph 160-16, 2015/13]
  7. INCT-FNA [464898/2014-5]

向作者/读者索取更多资源

This translation discusses a Principal Component Analysis conducted on a hydrodynamic simulation and compares it with experimental data from CMS. While the results for anisotropic flow are reasonable, they are qualitatively different for multiplicity fluctuations, possibly due to larger transverse momentum fluctuations and covariance in the simulation compared to experimental observations. This discrepancy could be related to excessive initial size fluctuations.
We present a Principal Component Analysis for a hydrodynamic simulation and compare with CMS experimental data. While the results are reasonable for anisotropic flow, for multiplicity fluctuations they are qualitatively different. We argue that this is due to too large transverse momentum (p(T)) fluctuations and N - p(T) covariance in the simulation than seen experimentally. In turn this is related to too large initial size fluctuations.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据