26 citations · 56 across the 13 of their papers we have counts for
4 papers · 1 filter
VaTEST III: Validation of 8 Potential Super-Earths from TESS Data
Priyashkumar Mistry, Aniket Prasad, Mousam Maity +29
NASA's all-sky survey mission, the Transiting Exoplanet Survey Satellite (TESS), is specifically engineered to detect exoplanets that transit bright stars. Thus far, TESS has succe…
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…
VaTEST II: Statistical Validation of 11 TESS-Detected Exoplanets Orbiting K-type Stars
Priyashkumar Mistry, Kamlesh Pathak, Aniket Prasad +48
NASA's Transiting Exoplanet Survey Satellite (TESS) is an all-sky survey mission designed to find transiting exoplanets orbiting nearby bright stars. It has identified more than 32…