26 citations · 56 across the 13 of their papers we have counts for
4 papers · 1 filter
Gamma Ray AGNs: Estimating Redshifts and Blazar Classification using traditional Neural Networks with smart initialization and self-supervised learning
Sarvesh Gharat, Abhimanyu Borthakur, Gopal Bhatta
Redshift estimation and the classification of gamma-ray AGNs represent crucial challenges in the field of gamma-ray astronomy. Recent efforts have been made to tackle these problem…
Gamma-ray Blazar Classification using Machine Learning with Advanced Weight Initialization and Self-Supervised Learning Techniques
Gopal Bhatta, Sarvesh Gharat, Abhimanyu Borthakur +1
Machine learning has emerged as a powerful tool in the field of gamma-ray astrophysics. The algorithms can distinguish between different source types, such as blazars and pulsars,…
Estimation of redshift and associated uncertainty of Fermi/LAT extra-galactic sources with Deep Learning
Sarvesh Gharat, Abhimanyu Borthakur, Gopal Bhatta
With the advancement of technology, machine learning-based analytical methods have pervaded nearly every discipline in modern studies. Particularly, a number of methods have been e…
Exploring Short-Term Optical Variability of Blazars Using
Vivek Reddy Pininti, Gopal Bhatta, Sagarika Paul +4
We present a first systematic time series study of a sample of blazars observed by the Transiting Exoplanet Survey Satellite spacecraft. By cross matching the posit…