We present a two-stage upgrade to the pystampas pipeline that boosts the search for long–duration ($10–{10}^3\mathrm{s}$) transients in gravitational-wave detectors’ data. First, a denoising scheme combines complex 2-D wavelet shrinkage with adaptive pixel threshold to suppress noise while retaining signal power. Second, a KDTree nearest-neighbor algorithm clusters surviving pixels in $\mathcal{O}(\log (n))$ time, replacing the standard clustering approach. Tests with a week of LIGO O3b data show a large reduction in false alarm rate and an improvement of the search sensitivity by up to a factor 2. Moreover, the computational time has been significantly reduced. These gains extend the sensitivity of all-sky, all-time searches to weaker and shorter transients, paving the way for rapid and deeper analyses in forthcoming LIGO-Virgo-KAGRA observation campaigns.

Close

PrevNext

View figure in article

• Gravitational wave detection