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arXiv 2009.03025astro-ph.IMgr-qc

Improving the background estimation technique in the GstLAL inspiral pipeline with the time-reversed template bank

Chiwai Chan, Kipp Cannon, Sarah Caudill, Heather Fong, Patrick Godwin, Chad Hanna, Shasvath Kapadia, Ryan Magee, Duncan Meacher, Cody Messick, Siddharth R. Mohi… 展开作者

Chiwai Chan, Kipp Cannon, Sarah Caudill, Heather Fong, Patrick Godwin, Chad Hanna, Shasvath Kapadia, Ryan Magee, Duncan Meacher, Cody Messick, Siddharth R. Mohite, Soichiro Morisaki, Debnandini Mukherjee, Atsushi Nishizawa, Hiroaki Ohta, Alexander Pace, Surabhi Sachdev, Minori Shikauchi, Leo Singer, Leo Tsukada, Daichi Tsuna, Takuya Tsutsui, Koh Ueno

英文摘要:

Background estimation is important for determining the statistical significance of a gravitational-wave event. Currently, the background model is constructed numerically from the strain data using estimation techniques that insulate the strain data from any potential signals. However, as the observation of gravitational-wave signals become frequent, the effectiveness of such insulation will decrease. Contamination occurs when signals leak into the background model. In this work, we demonstrate an improved background estimation technique for the searches of gravitational waves (GWs) from binary neutron star coalescences by time-reversing the modeled GW waveforms. We found that the new method can robustly avoid signal contamination at a signal rate of about one per 20 seconds and retain a clean background model in the presence of signals.

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