3 papers
eess.SP2020
Transient Classification in low SNR Gravitational Wave data using Deep Learning
Rahul Nigam, Amit Mishra, Pranath Reddy
The recent advances in Gravitational-wave astronomy have greatly accelerated the study of Multimessenger astrophysics. There is a need for the development of fast and efficient alg…
astro-ph.CO2019
CMB-GAN: Fast Simulations of Cosmic Microwave background anisotropy maps using Deep Learning
Amit Mishra, Pranath Reddy, Rahul Nigam
Cosmic Microwave Background (CMB) has been a cornerstone in many cosmology experiments and studies since it was discovered back in 1964. Traditional computational models like CAMB…
astro-ph.CO2019
Baryon density extraction and isotropy analysis of Cosmic Microwave Background using Deep Learning
Amit Mishra, Pranath Reddy, Rahul Nigam
The discovery of cosmic microwave background (CMB) was a paradigm shift in the study and fundamental understanding of the early universe and also the Big Bang phenomenon. Cosmic mi…