23 citations · 57 across the 7 of their papers we have counts for
7 papers · 1 filter
Large-kernel Convolutional Neural Networks for Wide Parameter-Space Searches of Continuous Gravitational Waves
Prasanna Mohan Joshi, Reinhard Prix
The sensitivity of wide-parameter-space searches for continuous gravitational waves (CWs) is limited by their high computational cost. Deep learning is being studied as an alternat…
Novel neural-network architecture for continuous gravitational waves
Prasanna M. Joshi, Reinhard Prix
The high computational cost of wide-parameter-space searches for continuous gravitational waves (CWs) significantly limits the achievable sensitivity. This challenge has motivated…
Improved binary black hole searches through better discrimination against noise transients
Sunil Choudhary, Sukanta Bose, Sanjeev Dhurandhar +1
Short-duration noise transients in LIGO and Virgo detectors significantly affect the search sensitivity of compact binary coalescence (CBC) signals, especially in the high mass reg…
The Varied Avatars of Time-delay Interferometry
Sanjeev Dhurandhar, Prasanna Joshi, Massimo Tinto
Time-Delay Interferometry (TDI) is the data processing technique that cancels the large laser phase fluctuations affecting the one-way Doppler measurements made by unequal-arm spac…
Reply to the Bayle {\it et al.} gr-qc document dated June 7, 2021}
Massimo Tinto, Sanjeev Dhurandhar, Prasanna Joshi
We address the two issues raised by Bayle, Vallisneri, Babak, and Petiteau (in their gr-qc document arXiv:2106.03976) about our matrix formulation of Time-Delay Interferometry (TDI…
Matrix Representation of Time-Delay Interferometry
Massimo Tinto, Sanjeev Dhurandhar, Prasanna Joshi
Time-Delay Interferometry (TDI) is the data processing technique that cancels the large laser phase fluctuations affecting the one-way Doppler measurements made by unequal-arm spac…