Prashant Thakur
Yonsei University, Birla Institute of Technology and Science, Pilani - Goa Campus
0000-0003-4189-6176
About
My research focuses on neutron stars and their equations of state, particularly their properties,interactions with dark matter, and how these interactions can constrain from astrophysical ob-
servations. I aim to understand the internal structure, dynamics, and role of exotic particles in neutron stars. During my PhD, I have had the opportunity to gain expertise in various advanced
methodologies and tools that are pivotal for state-of-the-art research in high energy nuclear physics and astrophysics. Specifically, I have developed a strong proficiency in Bayesian Inference, which
has been instrumental in my data analysis and modeling efforts. My work with Machine Learning has enabled me to leverage complex algorithms and models to uncover patterns and insights from
large datasets. Furthermore, my experience with Big Data Analysis has equipped me with the skills to handle and interpret vast amounts of data efficiently. Additionally, I have become adept at using Mathematica for symbolic computations and analytical derivations, which has greatly enhanced my problem-solving capabilities. My proficiency with the RNS (Rotating Neutron Star) code has
allowed me to perform detailed simulations and analyses of neutron star properties, contributing significantly to my research on dense matter physics and dark matter interactions. Currently, and
in the foreseeable future, my research aims to explore the internal structure of neutron stars (NS) and investigate the presence of dark matter within them through a phenomenological methodology,in which I am well-versed.
Employment
-
Yonsei University Post Doctoral Researcher2025 - Present
-
Birla Institute of Technology and Science, Pilani - Goa Campus Ph.D student2020 - 2025
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (19)
- Constraining axionlike particle mediated dark matter with observational constraints: A statistical and machine learning approach Save
- Non-radial oscillations in dark matter admixed neutron stars using a two fluid formalism Save
- Implications of the σ -cut potential on antikaon condensates in neutron stars Save
- Implications of \ensuremathσ-cut potential on Antikaon condensates in neutron stars Save
- Feasibility of Dark Matter in Neutron Stars: A Quantitative Analysis Save
- Impact of the σ -cut potential in the properties of neutron star matter Save
- Supernova remnants with mirror dark matter and hyperons Save
- Radial and Non-Radial Oscillations of Protoneutron Stars with Hyperonic Composition Save
- Feasibility study of a dark matter admixed neutron star based on recent observational constraints Save
- Nonradial oscillation modes in hybrid stars with hyperons and delta baryons Save