2 papers
gr-qc2023
Demonstration of Machine Learning-assisted real-time noise regression in gravitational wave detectors
Muhammed Saleem, Alec Gunny, Chia-Jui Chou +17
Real-time noise regression algorithms are crucial for maximizing the science outcomes of the LIGO, Virgo, and KAGRA gravitational-wave detectors. This includes improvements in the…
astro-ph.HE2023
A Stochastic Approach To Reconstruct Gamma Ray Burst Lightcurves
Maria G. Dainotti, Ritwik Sharma, Aditya Narendra +4
Gamma-Ray Bursts (GRBs), being observed at high redshift (z = 9.4), vital to cosmological studies and investigating Population III stars. To tackle these studies, we need correlati…