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20062026
most citedDistance-IoU Loss: Faster and Better Learning for Bounding Box Regression

961 citations

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17 papers · 1 filter

nucl-th20238 cited

Machine learning approach to analyze heavy quark diffusion coefficient in relativistic heavy-ion collisions

Rui Guo, Yonghui Li, Baoyi Chen

The diffusion coefficient of heavy quarks in the deconfined medium is examined in this research using a deep convolutional neural network (CNN) trained with data from relativistic…

nucl-th202315 cited

Bottom energy loss and non-prompt production in relativistic heavy ion collisions

Meimei Yang, Shiqi Zheng, Bo Tong +4

We study the momentum and centrality dependence of the non-prompt nuclear modification factors (), which comes from the hadrons decay, in Pb-Pb collisions at the…

nucl-th202211 cited

Resolving the spurious-state problem in the Dirac equation with finite difference method

Ying Zhang, Yuxuan Bao, Jinniu Hu +1

To solve the Dirac equation with the finite difference method, one has to face up to the spurious-state problem due to the fermion doubling problem when using the conventional cent…

nucl-th2022

Anisotropic flows of charmonium in the relativistic heavy-ion collisions

Chenyu Li, Baoyi Chen

We review recent studies about anisotropic flows () of charmonium in the quark-gluon plasma produced in relativistic heavy-ion collisions. Collective flows of the bu…

nucl-th20221 cited

Relativistic correction to the dissociation temperature of B_c mesons in the hot medium

Guangyu Li, Baoyi Chen, Yunpeng Liu

By solving two body Dirac equations with potentials at finite temperature, we calculated the dissociation temperature T_d of B_c mesons in the quark-gluon plasma. It is found that…

nucl-th2021

Neutron drop trapped in axially deformed external fields

Xiaohan Ding, Jinniu Hu, Ying Zhang +1

The neutron drop is firstly investigated in an axially symmetric harmonic oscillator (ASHO) field, whose potential strengths of different directions can be controlled artificially.…