66 citations · 69 across the 2 of their papers we have counts for
4 papers
Applying machine learning to determine impact parameter in nuclear physics experiments
C. Y. Tsang, Yongjia Wang, M. B. Tsang +14
Machine Learning (ML) algorithms have been demonstrated to be capable of predicting impact parameter in heavy-ion collisions from transport model simulation events with perfect det…
Probing the Symmetry Energy with the Spectral Pion Ratio
J. Estee, W. G. Lynch, C. Y. Tsang +60
Many neutron star (NS) properties, such as the proton fraction within a NS, reflect the symmetry energy contributions to the Equation of State that dominate when neutron and proton…
Symmetry energy investigation with pion production from Sn+Sn systems
G. Jhang, J. Estee, J. Barney +77
In the past two decades, pions created in the high density regions of heavy ion collisions have been predicted to be sensitive at high densities to the symmetry energy term in the…
Charged particle track reconstruction with SRIT Time Projection Chamber
J. W. Lee, G. Jhang, G. Cerizza +18
In this paper, we present a software framework, SRITROOT, which is capable of track reconstruction and analysis of heavy-ion collision events recorded with the SRIT time proj…