10 citations · 39 across the 17 of their papers we have counts for
18 papers
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…
Soret and Dufour effects in hot and dense QCD matter
Kamaljeet Singh, Kangkan Goswami, Raghunath Sahoo
The gradients act as invisible engines of transport, converting microscopic imbalances into macroscopic flows, and thus providing deep insights into the dynamics of physical system…
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…
Partial pressure and susceptibilities of charmed sector in the van der Waals hadron resonance gas model
Kangkan Goswami, Kshitish Kumar Pradhan, Dushmanta Sahu +1
We investigate the general susceptibilities in the charm sector by using the van der Waals hadron resonance gas model (VDWHRG). We argue that the ideal hadron resonance gas (HRG),…
Shear viscosity and electrical conductivity of rotating quark matter in Nambu--Jona-Lasinio Model
Ashutosh Dwibedi, Dushmanta Sahu, Jayanta Dey +3
The Lagrangian for strongly interacting and rotating quark matter is modified with the inclusion of the spinorial connections, which in turn affect the thermodynamic equation of st…
Prompt and non-prompt production of charm hadrons in proton-proton collisions at the Large Hadron Collider using machine learning
Raghunath Sahoo, Suraj Prasad, Neelkamal Mallick +2
In this contribution, we use machine learning (ML) based models to separate the prompt and non-prompt production of heavy flavour hadrons, such as and J/, in proton-proton…
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…
Design and development of advanced Al-Ti-V alloys for beampipe applications in particle accelerators
Kamaljeet Singh, Kangkan Goswami, Raghunath Sahoo +1
The present investigation reports the design and development of an advanced material with a high figure of merit (FoM) for beampipe applications in particle accelerators by bringin…
Can charm fluctuation be a better probe to study QCD critical point?
Kangkan Goswami, Kshitish Kumar Pradhan, Dushmanta Sahu +2
We study the diffusion properties of an interacting hadron gas and evaluate the diffusion coefficient matrix for the baryon, strange, electric, and charm quantum numbers. For the f…
A machine learning-based study of open-charm hadrons in proton-proton collisions at the Large Hadron Collider
Kangkan Goswami, Suraj Prasad, Neelkamal Mallick +2
n proton-proton and heavy-ion collisions, the study of charm hadrons plays a pivotal role in understanding the QCD medium and provides an undisputed testing ground for the theory o…
Anisotropy of magnetized quark matter
Kangkan Goswami, Dushmanta Sahu, Jayanta Dey +2
Strong transient magnetic fields are generated in non-central relativistic heavy-ion collisions. These fields induce anisotropy within the strongly interacting medium that, in prin…
Diffusion and fluctuations of open charmed hadrons in an interacting hadronic medium
Kangkan Goswami, Kshitish Kumar Pradhan, Dushmanta Sahu +1
Heavy quarks are excellent probes to understand the hot and dense medium formed in ultra-relativistic collisions. In a hadronic medium, studying the transport properties, e.g. the…
Understanding the QCD medium by the diffusion of charm quarks using a Color String Percolation Model
Kangkan Goswami, Dushmanta Sahu, Raghunath Sahoo
We study the drag and diffusion coefficients of the charm quark in the deconfined matter produced in the ultra-relativistic collisions by taking the Color String Percolation Model…