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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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.