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-ξ2 incorporation, the upgraded ρ−ξ2 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.
@article{arxiv.2305.06286,
title = {Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences},
author = {Leo Tsukada and Prathamesh Joshi and Shomik Adhicary and Richard George and Andre Guimaraes and Chad Hanna and Ryan Magee and Aaron Zimmerman and Pratyusava Baral and Amanda Baylor and Kipp Cannon and Sarah Caudill and Bryce Cousins and Jolien D. E. Creighton and Becca Ewing and Heather Fong and Patrick Godwin and Reiko Harada and Yun-Jing Huang and Rachael Huxford and James Kennington and Soichiro Kuwahara and Alvin K. Y. Li and Duncan Meacher and Cody Messick and Soichiro Morisaki and Debnandini Mukherjee and Wanting Niu and Alex Pace and Cort Posnansky and Anarya Ray and Surabhi Sachdev and Shio Sakon and Divya Singh and Ron Tapia and Takuya Tsutsui and Koh Ueno and Aaron Viets and Leslie Wade and Madeline Wade},
journal= {arXiv preprint arXiv:2305.06286},
year = {2023}
}