15 papers
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…
Machine learning driven identification of heavy flavor decay leptons in proton-proton collisions at the Large Hadron Collider
Raghunath Sahoo, Kangkan Goswami, Suraj Prasad
The study of heavy-flavor hadrons is topical in the era of precision measurements, which is useful to test theories based on pQCD. The heavy-flavor hadrons are produced initially d…
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 DNN 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…
Shear Viscosity and Electrical Conductivity of Rotating Nuclear Medium in Hadron Resonance Gas and Nambu-Jona Lasinio Models
Ashutosh Dwibedi, Dani Rose J Marattukalam, Nandita Padhan +6
Motivated by recent observations of spin polarization and alignment in heavy-ion collisions, we study the impact of rotation on the transport properties of strongly interacting mat…