PyCBC Live for O4 adds time-dependent background modeling, early warning search, and improved autogating, delivering sensitivity gains of 1.7-2.3x for coincident searches in mock data challenges.
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Volunteers propose new glitch categories in LIGO data that connect to instrument states and pose difficulties for existing ML glitch classifiers.
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PyCBC Live Search for Compact Binary Mergers in Advanced LIGO and Virgo's Fourth Observing Run
PyCBC Live for O4 adds time-dependent background modeling, early warning search, and improved autogating, delivering sensitivity gains of 1.7-2.3x for coincident searches in mock data challenges.
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Hunting for new glitches in LIGO data using community science
Volunteers propose new glitch categories in LIGO data that connect to instrument states and pose difficulties for existing ML glitch classifiers.