activity
20222026
most citedSiGMa-Net: Deep learning network to distinguish binary black hole signals from short-duration noise transients

14 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2026

Narrow spectral artifact investigation and mitigation in LIGO data from the fourth LIGO-Virgo-KAGRA observing run

E. Goetz, A. Neunzert, A. M. Knee +258

We present efforts to identify, characterize, and mitigate narrow spectral artifacts in LIGO detector data during the fourth LIGO-Virgo-KAGRA observing run. Narrow spectral artifac…

astro-ph.IM2026

SiGMa-Net II: Distinguishing Binary Black Holes from Glitches

Soorya Narayan, Anupreeta More, Sunil Choudhary +2

With increasing sensitivity of the gravitational wave (GW) detectors, we expect a significant rise in the detectable GW events. To process, analyse and identify such large amounts…

gr-qc2025★ 1 cited

Microlensing of long-duration gravitational wave signals originating from Galactic sources

Sudhagar Suyamprakasam, Sreekanth Harikumar, Paweł Ciecieląg +3

Detection of quasi-monochromatic, long-duration (continuous) gravitational wave radiation emitted by, e.g., asymmetric rotating neutron stars in our Galaxy requires a long observat…

gr-qc2024

Identifying noise transients in gravitational-wave data arising from nonlinear couplings

Bernard Hall, Sudhagar Suyamprakasam, Nairwita Mazumder +2

Noise in various interferometer systems can sometimes couple non-linearly to create excess noise in the gravitational wave (GW) strain data. Third-order statistics, such as bicoher…

gr-qc2022★ 14 cited

SiGMa-Net: Deep learning network to distinguish binary black hole signals from short-duration noise transients

Sunil Choudhary, Anupreeta More, Sudhagar Suyamprakasam +1

Blip glitches, a type of short-duration noise transient in the LIGO--Virgo data, are a nuisance for the binary black hole (BBH) searches. They affect the BBH search sensitivity sig…