Robustness of principal component analysis on harmonic flow in heavy ion collisions

The principal component analysis (PCA), a mathematical tool commonly used in statistics, has recently been employed to interpret the \(p_T\)-dependent fluctuations of harmonic flow \(v_n\) in terms of leading and subleading flow modes in heavy ion collisions. Using simulated data from AMPT and HIJIN...

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Bibliographic Details
Published in:arXiv.org 2020-02
Main Authors: Liu, Ziming, Behera, Arabinda, Song, Huichao, Jia, Jiangyong
Format: Article
Language:English
Subjects:
Atomic collisions
Computer simulation
Heavy ions
Ionic collisions
Mathematical analysis
Principal components analysis
Robustness (mathematics)
Variation
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Summary:The principal component analysis (PCA), a mathematical tool commonly used in statistics, has recently been employed to interpret the \(p_T\)-dependent fluctuations of harmonic flow \(v_n\) in terms of leading and subleading flow modes in heavy ion collisions. Using simulated data from AMPT and HIJING models, we show that the PCA modes are not fixed, but depend on the choice of the particle weight and the \(p_T\) range. Furthermore, the shape of the leading mode is affected by the presence of non-flow correlations, and fake subleading mode may arise from the mixing of non-flow correlations with leading flow mode with a magnitude that could be larger than the genuine subleading flow mode. Therefore, the meaning of PCA modes and their relations to physical leading and subleading flow modes associated initial state eccentricities need to be further clarified/validated in realistic model simulations.
ISSN:2331-8422
DOI:10.48550/arxiv.2002.06061