Siddhartha Bhattacharyya
Post-Doctoral Fellow
Email: sbhattacharyya [at] ncra.tifr.res.in
Phone: 020-25719269
Extn: 9269
Office: 218B
National Centre for Radio Astrophysics
Tata Institute of Fundamental Research
Savitribai Phule Pune University Campus,
Pune 411 007
Maharashtra, INDIA
Tata Institute of Fundamental Research
Savitribai Phule Pune University Campus,
Pune 411 007
Maharashtra, INDIA
Main Research Areas: Fast Radio Bursts Modelling and Detection; Application of Artificial Intelligence in FRB detections; Pipeline building; Statistical Approach to Radio Astronomy; Probing Cosmological Parameters using Astrophysical Transients
Biography:
Siddhartha obtained his B.Sc. (Physics, honours) from Bangabasi College, Kolkata, in 2008, and his M.Sc. in Physics from St. Xavier's College, Kolkata, in 2012. He then joined I.I.T. Kharagpur in 2013, carrying out doctoral research on Fast Radio Bursts with Prof. Somnath Bharadwaj. The title of his Ph.D. thesis is "Modelling the Fast Radio Burst Population and Detection Predictions". He was awarded the Ph.D. degree in September 2022, and then joined NCRA-TIFR for as a post-doctoral fellow, working on low-frequency studies of Fast Radio Bursts.Research description:
Fast Radio Bursts (FRBs) are short-duration (~ms), high energetic (~ 10^32-10^36 J) dispersed radio signals. The observed dispersion measure of the detected FRBs, which is 5-10 times larger than the Milky Way contribution, suggests that FRBs are extragalactic events. The FRB emission mechanism and population synthesis parameters are not well constrained to date. A large number of FRBs have recently been reported, mostly from CHIME surveys; these provide an excellent tool to study several astrophysical phenomena using statistical inference techniques. Further, several cosmological parameters can also be constrained using localized FRBs. However, a very small fraction of the detected FRBs have been localized to date. The upgraded Giant Metrewave Radio Telescope is a very sensitive instrument to detect and localize an FRB in real time by applying the artificial intelligence algorithm in the FRB detection pipeline. This is currently the focus of my research.Selected publications:
1. Bhattacharyya, S., Bharadwaj, S., Tiwari, H. and Majumder, S. (2022), "Modelling the energy distribution in CHIME/FRB Catalog-1", arXiv:2209.12961.
2. Bhattacharyya, S., Tiwari, H., Bharadwaj, S. and Majumder, S. (2022), "A maximum-likelihood
estimate of the parameters of the fast radio burst population", MNRAS-Letters, 513, L1.
3. Bhattacharyya, S. and Bharadwaj, S. (2021), "Constraining the Fast Radio Burst (FRB) properties using the joint distributions of dispersion measure and fluence of the events detected at Parkes, ASKAP, CHIME and UTMOST", MNRAS, 502, 904
4. Bhattacharyya, S. (2018), "Prospects of detecting Fast Radio Bursts using Indian radio telescopes", JApA, 39, 1.
5. Bhattacharyya, S., Bera, A., Bharadwaj, S., Bhat, N. D. R. and Chengalur, J. N. (2017), "FRB event rate predictions for the Ooty Wide Field Array", JApA, 38, 17.
6. Bera, A., Bhattacharyya, S., Bharadwaj, S., Bhat, N. D. R. and Chengalur, J. N. (2016), "On modelling the Fast Radio Burst population and event rate predictions", MNRAS, 457, 2530.
7. Gupta, Y., Chandra, P., Bagchi, M., Ramanujam, N. M., Maan, Y., Deshpande, A. A. and Bhattacharyya, S. (2016), "Fast Transients with the Square Kilometre Array and its Pathfinders: An Indian Perspective", JApA, 37, 1.
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