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Anisotropy flows in Pb–Pb collisions at LHC energies from parton scatterings with heavy quark trigger

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Abstract

By implementing an additional heavy quark–antiquark pair production trigger in a multiphase transport (AMPT) model, we study the effect on anisotropy flows of identified particles with a focus on charged particles and quarkonium (\(J/\Psi \) and \(\varUpsilon \)). A systematic increase in the collision rate for active partons in the AMPT model with such an implementation has been observed. It leads to a slight increase of identified particles anisotropy flows as a function of transverse momentum (\(p_{\text{T}}\)) and rapidity, and gives a better description of the experimental data of elliptic flow toward larger \( p_{\text{T}}\). Our approach provides an efficient way to study the heavy quark dynamics in the AMPT model at LHC energies.

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Acknowledgements

Discussions with Dr. Hui Li are gratefully acknowledged.

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Authors and Affiliations

  1. Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai, 200433, China

    Hai Wang & Jin-Hui Chen

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  1. Hai Wang
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  2. Jin-Hui Chen
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Hai Wang and Jin-Hui Chen. The first draft of the manuscript was written by Hai Wang and Jin-Hui Chen, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jin-Hui Chen.

Additional information

This work was supported in part by the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDB34030200), the Guangdong Major Project of Basic and Applied Basic Research (No. 2020B0301030008), and the National Natural Science Foundation of China (Nos. 12025501, 11890710, 11890714, and 12147114).

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Wang, H., Chen, JH. Anisotropy flows in Pb–Pb collisions at LHC energies from parton scatterings with heavy quark trigger. NUCL SCI TECH 33, 15 (2022). https://doi.org/10.1007/s41365-022-00999-y

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