10 citations · 39 across the 17 of their papers we have counts for
6 papers · 1 filter
Conserved-charge diffusion in hot and dense QCD matter
Dushmanta Sahu, Kangkan Goswami, Raghunath Sahoo
We study the coupled diffusion of baryon number, electric charge, and strangeness in hot and dense quark matter using a three-flavor Nambu-Jona-Lasinio model with self-consistently…
Thermodiffusive coupled-transport phenomena in dense quark matter
Kamaljeet Singh, Kangkan Goswami, Raghunath Sahoo
Coupled-transport phenomena reveal that heat, charge, and particle flows are intrinsically interconnected, providing deeper insight into the microscopic dynamics of a medium than i…
MAGE-HEP: Monte Carlo Analysis and Graphical Environment for High-Energy Physics
Rishabh Gupta, Kangkan Goswami, Suraj Prasad +1
Monte Carlo event generators are central to high-energy physics analysis. However, workflows based on handwritten scripts can be difficult to reuse, modify, and reproduce when mult…
Inferring identified hadron production in collisions with physics-informed machine learning at the LHC
Rishabh Gupta, Kangkan Goswami, Suraj Prasad +1
Machine learning has become a powerful tool in high-energy collider experiments, which enables the studies based on data-driven approaches to complex reconstruction and regression…
Thermodynamic and Transport Properties of Quark-Gluon Plasma at Finite Chemical Potential with a Deep Neural Network Framework
Rishabh Kumar Tiwari, Kangkan Goswami, Suraj Prasad +3
The characteristics of a thermal system depend strongly on its response to thermal gradients and the underlying microscopic interactions among constituents. In the present study, w…
Development of next-generation light-weight ternary Mg--Al--Li alloys for beampipe applications in particle accelerators
Kamaljeet Singh, Kangkan Goswami, Raghunath Sahoo +1
The current study reports the design of advanced light-weight materials for high-energy accelerator beampipe applications. The objective is to optimize the combined requirements of…