38 citations
- Indian Institute of Science BangaloreIN5 papers
- Raman Research InstituteIN2 papers
- Carnegie Mellon UniversityUS1 paper
- Cornell UniversityUS1 paper
- Delft University of TechnologyNL1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Indian Institute of AstrophysicsIN1 paper
- Indian Institute of Science Education and Research, BhopalIN1 paper
- Indian Institute of Technology KharagpurIN1 paper
- Institute of Mathematical SciencesIN1 paper
- Jamia Millia IslamiaIN1 paper
- Joint Institute for Laboratory AstrophysicsUS1 paper
20 papers
Super-Chandrasekhar white dwarfs by the evolution of magnetized main-sequence stars: New mass-limits from STARS simulation
Zenia Zuraiq, Banibrata Mukhopadhyay, Achal Kumar +4
We explore the time evolution of the magnetized main-sequence stars (MSs) to magnetized non-rotating white dwarfs (WDs) with a series of models, capturing modified Hertzsprung-Russ…
Spectral analysis of magnetized advective accretion flows around rotating black holes
Mayank Pathak, Shubhrangshu Ghosh, Banibrata Mukhopadhyay
The spectra of an accretion disk around black holes are the basic diagnostic tool to enlighten the underlying flows and then black holes. Accretion flows around black holes, howeve…
Lepton asymmetry leading to baryogenesis by primordial black holes
Mriganka Dutta, Banibrata Mukhopadhyay, Abhishek Kumar Jha +2
Baryogenesis remains an unresolved problem in cosmology, with existing mechanisms facing significant caveats. We show that the effects of primordial black holes (PBHs) on neutrinos…
Nonlinearity-induced transition in heat conduction through a topological metamaterial of rotors
T. R. Vishnu, Dibyendu Roy
We investigate heat conduction in a one-dimensional chain of rigid rotors. The rotors are constrained to rotate in a plane about fixed pivot points and coupled by springs, such tha…
Continuous gravitational waves from magnetized white dwarfs: Quantifying the detection plausibility by LISA
Mayusree Das, Banibrata Mukhopadhyay, Tomasz Bulik
White dwarfs (WDs) are frequently observed to have strong magnetic fields up to G and expected to have a possible internal field as high as G. High internal f…
Barrier Functions Inspired Reward Shaping for Reinforcement Learning
Nilaksh Nilaksh, Abhishek Ranjan, Shreenabh Agrawal +3
Reinforcement Learning (RL) has progressed from simple control tasks to complex real-world challenges with large state spaces. While RL excels in these tasks, training time remains…