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arXiv · 2305.06286

Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences

Abstract

Starting from May 2023, the LIGO Scientific, Virgo and KAGRA Collaboration is planning to conduct the fourth observing run with improved detector sensitivities and an expanded detector network including KAGRA. Accordingly, it is vital to optimize the detection algorithm of low-latency search pipelines, increasing their sensitivities to gravitational waves from compact binary coalescences. In this work, we discuss several new features developed for ranking statistics of GstLAL-based inspiral pipeline, which mainly consist of: the signal contamination removal, the bank-$\xi^2$ incorporation, the upgraded $\rho-\xi^2$ signal model and the integration of KAGRA. An injection study demonstrates that these new features improve the pipeline's sensitivity by approximately 15% to 20%, paving the way to further multi-messenger observations during the upcoming observing run.

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Leo Tsukada, Prathamesh Joshi, Shomik Adhicary, Richard George, Andre Guimaraes, Chad Hanna, Ryan Magee, Aaron Zimmerman, Pratyusava Baral, Amanda Baylor, Kipp Cannon, Sarah Caudill, Bryce Cousins, Jolien D. E. Creighton, Becca Ewing, Heather Fong, Patrick Godwin, Reiko Harada, Yun-Jing Huang, Rachael Huxford, James Kennington, Soichiro Kuwahara, Alvin K. Y. Li, Duncan Meacher, Cody Messick, Soichiro Morisaki, Debnandini Mukherjee, Wanting Niu, Alex Pace, Cort Posnansky, Anarya Ray, Surabhi Sachdev, Shio Sakon, Divya Singh, Ron Tapia, Takuya Tsutsui, Koh Ueno, Aaron Viets, Leslie Wade, Madeline Wade. 2023-05-10. Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences. https://doi.org/10.1103/physrevd.108.043004

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