Benchmarking a Multi-Phase Transport for Relativistic Heavy Ion Collisions
Benchmarking a Multi-Phase Transport for Relativistic Heavy Ion Collisions
批准号:
2012947
负责人:
Zi-Wei Lin
金额:
$29.57万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2024-08-31
中文摘要
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英文摘要
The soup of elementary particles, quarks and gluons, that characterized the universe for a few millionths of a second after the Big Bang, known as the quark-gluon plasma (QGP), has been created in high energy heavy ion collisions at the Relativistic Heavy Ion Collider (RHIC) in the USA and the Large Hadron Collider (LHC) in Europe. Such experiments allow physicists to study the QGP properties and understand the strong interaction at extreme temperatures and densities. A rich set of data has been measured from these experiments, including the recent evidence that the QGP is even formed in small collision systems. Hydrodynamics-based models as well as transport models have been quite successful in describing many observables. However, because transport models include non-equilibrium dynamics, they are expected to be different from hydrodynamic models for small systems. Open questions include the onset and origin of the observed collective motion of the produced particles from small to large systems, and how an interacting system transitions from the dilute limit to the hydrodynamic limit. This project focuses on using the improved transport method to address these questions, with the PI mentoring students in this research at both graduate and undergraduate levels. The improved multi-phase transport model as a public code also serves as a convenient event generator and testbed for the nuclear physics community.The main goal of this project is to address open questions regarding the QGP properties by improving the theoretical foundation and accuracy of a multi-phase transport model. This model contains a parton cascade phase and a bulk hadronization model in addition to fluctuating initial conditions and a later hadron cascade phase. The objectives include the following: i) benchmark and improve the accuracy of the parton transport method in describing the evolution of the dense matter; ii) improve the hadronization process, including starting the quark coalescence around a critical energy density instead of the parton kinetic freeze-out and applying fragmentation to heavy-flavor partons at high transverse momentum; iii) improve a multi-phase transport model with the verified parton cascade and improved hadronization and then make direct comparisons with experimental observables such as anisotropic flows. With the improved transport model constrained by bulk observables, properties of the dense matter such as the shear viscosity can also be quantitatively studied and compared with results from other approaches such as viscous-hydrodynamic models.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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Calculating QCD Phase Diagram Trajectories of Nuclear Collisions using a Semi-analytical Model
使用半解析模型计算核碰撞的 QCD 相图轨迹
DOI:
10.1051/epjconf/202327601012
发表时间:
2023
期刊:
EPJ Web of Conferences
影响因子:
--
作者:
[Mendenhall, Todd, Lin, Zi-Wei]
通讯作者:
Lin, Zi-Wei
DOI:
10.1103/physrevc.103.024907
发表时间:
2020-12
期刊:
Physical Review C
影响因子:
3.1
作者:
[T. Mendenhall;Zi-Wei Lin]
通讯作者:
T. Mendenhall;Zi-Wei Lin
DOI:
10.1016/j.physletb.2022.137063
发表时间:
2021-12
期刊:
Physics Letters B
影响因子:
4.4
作者:
[Liuyao Zhang;Jinhui Chen;Wei Li;Zi-Wei Lin]
通讯作者:
Liuyao Zhang;Jinhui Chen;Wei Li;Zi-Wei Lin
DOI:
10.1103/physrevc.105.034912
发表时间:
2021-02
期刊:
Physical Review C
影响因子:
3.1
作者:
[Han-Sheng Wang;G. Ma;Zi-Wei Lin;Wei-jie Fu]
通讯作者:
Han-Sheng Wang;G. Ma;Zi-Wei Lin;Wei-jie Fu
DOI:
10.1103/physrevc.106.054910
发表时间:
2021-09
期刊:
Physical Review C
影响因子:
3.1
作者:
[Chao Zhang;Zi-Wei Lin]
通讯作者:
Chao Zhang;Zi-Wei Lin
共 10 条
Connecting Parton Cascade to QCDS Shear Viscosity for a Dynamical Model of Finite Temperature Kinetic Theory
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批准号:2310021
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项目类别:Standard Grant
-
资助金额:$27.0万
-
财政年份:2023
-
负责人:Zi-Wei Lin
-
依托单位:
国内基金
海外基金
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