The first informative astrophysical calibration of gravitational-wave detectors is reported using GW240925 and GW250207.
Ewinget al., Performance of the low-latency GstLAL inspi- ral search towards LIGO, Virgo, and KAGRA’s fourth observ- ing run, Phys
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GW250114 data confirm the remnant black hole ringdown frequencies lie within 30% of Kerr predictions and that the final horizon area is larger than the sum of the progenitors' areas to high credibility.
New GstLAL offline methods reuse online matched-filtering products, merge with a heavy black hole search, revise the likelihood ratio and background estimation, and deliver a 50-100% sensitivity gain for high-mass events on a tested O3 data segment while improving reusability and reducing compute.
GstLAL produced low-latency alerts for 250 astrophysically plausible gravitational-wave candidates during O4, providing the first upload for 222 and the sole upload for 75, with 88 percent of significant catalog events detected and 93 percent classification agreement.
citing papers explorer
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GW240925 and GW250207: Astrophysical Calibration of Gravitational-wave Detectors
The first informative astrophysical calibration of gravitational-wave detectors is reported using GW240925 and GW250207.
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GW250114: testing Hawking's area law and the Kerr nature of black holes
GW250114 data confirm the remnant black hole ringdown frequencies lie within 30% of Kerr predictions and that the final horizon area is larger than the sum of the progenitors' areas to high credibility.
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New Methods for Offline GstLAL Analyses
New GstLAL offline methods reuse online matched-filtering products, merge with a heavy black hole search, revise the likelihood ratio and background estimation, and deliver a 50-100% sensitivity gain for high-mass events on a tested O3 data segment while improving reusability and reducing compute.
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GstLAL O4 Online Results Paper
GstLAL produced low-latency alerts for 250 astrophysically plausible gravitational-wave candidates during O4, providing the first upload for 222 and the sole upload for 75, with 88 percent of significant catalog events detected and 93 percent classification agreement.