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

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 pipelin...

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Hauptverfasser: Tsukada, Leo, Joshi, Prathamesh, Adhicary, Shomik, George, Richard, Guimaraes, Andre, Hanna, Chad, Magee, Ryan, Zimmerman, Aaron, Baral, Pratyusava, Baylor, Amanda, Cannon, Kipp, Caudill, Sarah, Cousins, Bryce, Creighton, Jolien D E, Ewing, Becca, Fong, Heather, Godwin, Patrick, Harada, Reiko, Yun-Jing, Huang, Huxford, Rachael, Kennington, James, Kuwahara, Soichiro, Li, Alvin K Y, Meacher, Duncan, Messick, Cody, Morisaki, Soichiro, Mukherjee, Debnandini, Niu, Wanting, Pace, Alex, Posnansky, Cort, Anarya Ray, Sachdev, Surabhi, Shio Sakon, Singh, Divya, Tapia, Ron, Tsutsui, Takuya, Ueno, Koh, Viets, Aaron, Wade, Leslie, Wade, Madeline
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creator Tsukada, Leo
Joshi, Prathamesh
Adhicary, Shomik
George, Richard
Guimaraes, Andre
Hanna, Chad
Magee, Ryan
Zimmerman, Aaron
Baral, Pratyusava
Baylor, Amanda
Cannon, Kipp
Caudill, Sarah
Cousins, Bryce
Creighton, Jolien D E
Ewing, Becca
Fong, Heather
Godwin, Patrick
Harada, Reiko
Yun-Jing, Huang
Huxford, Rachael
Kennington, James
Kuwahara, Soichiro
Li, Alvin K Y
Meacher, Duncan
Messick, Cody
Morisaki, Soichiro
Mukherjee, Debnandini
Niu, Wanting
Pace, Alex
Posnansky, Cort
Anarya Ray
Sachdev, Surabhi
Shio Sakon
Singh, Divya
Tapia, Ron
Tsutsui, Takuya
Ueno, Koh
Viets, Aaron
Wade, Leslie
Wade, Madeline
description 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.
doi_str_mv 10.48550/arxiv.2305.06286
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subjects Algorithms
Gravitational waves
Physics - General Relativity and Quantum Cosmology
Physics - Instrumentation and Methods for Astrophysics
Ranking
Sensitivity
title Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences
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