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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

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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…