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Gravitational wave astronomy is established with direct observation ofgravitational wave from merging binary black holes and binary neutron starsduring the first and second observing run of LIGO and Virgo detectors. Thegravitational-wave transient searches mainly categories into two families:modeled and modeled-independent searches. The modeled searches are based onmatched filtering techniques and model-independent searches are based on theextraction of excess power from time-frequency representations. We haveproposed a hybrid method, called wavegraph that mixes the two approaches. Ituses astrophysical information at the extraction stage of model-independentsearch using a mathematical graph. In this work, we assess the performance ofwavegraph clustering in real LIGO and Virgo noises (the sixth science run andthe first observing run) and using the coherent WaveBurst transient search as abackbone. Further, we propose a new signal consistency test for this algorithm.This test uses the amplitude profile information to distinguish between thegravitational wave transients from the noisy glitches. This test is able toremove a large fraction of loud glitches, which thus results in additionaloverall sensitivity in the context of searches for binary black-hole mergers inthe low-mass range.

Astrophysical signal consistency test adapted for gravitational-wave transient searches