Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences
- Creators
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Tsukada, Leo
- Joshi, Prathamesh
- Adhicary, Shomik
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George, Richard
- Guimaraes, Andre
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Hanna, Chad
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Magee, Ryan
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Zimmerman, Aaron
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Baral, Pratyusava
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Baylor, Amanda
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Cannon, Kipp
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Caudill, Sarah
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Cousins, Bryce
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Creighton, Jolien D. E.
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Ewing, Becca
- Fong, Heather
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Godwin, Patrick
- Harada, Reiko
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Huang, Yun-Jing
- Huxford, Rachael
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Kennington, James
- Kuwahara, Soichiro
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Li, Alvin K. Y.
- Meacher, Duncan
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Messick, Cody
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Morisaki, Soichiro
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Mukherjee, Debnandini
- Niu, Wanting
- Pace, Alex
- Posnansky, Cort
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Ray, Anarya
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Sachdev, Surabhi
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Sakon, Shio
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Singh, Divya
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Tapia, Ron
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Tsutsui, Takuya
- Ueno, Koh
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Viets, Aaron
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Wade, Leslie
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Wade, Madeline
Abstract
Starting from May 2023, the LIGO Scientific, Virgo and KAGRA Collaboration has been conducting 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 multimessenger observations during the upcoming observing run.
Copyright and License
© 2023 American Physical Society.
Acknowledgement
The authors are grateful for computational resources provided by the LIGO Laboratory and supported by National Science Foundation Grants No. PHY-0757058 and No. PHY-0823459. This material is based upon work supported by NSF's LIGO Laboratory which is a major facility fully funded by the National Science Foundation. LIGO was constructed by the California Institute of Technology and Massachusetts Institute of Technology with funding from the National Science Foundation (NSF) and operates under cooperative Agreement No. PHY-1764464. The authors are grateful for computational resources provided by the Pennsylvania State University's Institute for Computational and Data Sciences (ICDS) and the University of Wisconsin Milwaukee Nemo and support by NSF Grant No. PHY-(2011865), No. NSF OAC-(2103662), No. NSF PHY-(1626190), No. NSF PHY-(1700765), No. NSF PHY-(2207728), and No. NSF PHY-(2207594). This paper carries LIGO Document No. LIGO-P2300116. This research has made use of data or software obtained from the Gravitational Wave Open Science Center (gwosc.org), a service of LIGO Laboratory, the LIGO Scientific Collaboration, the Virgo Collaboration, and KAGRA. LIGO Laboratory and Advanced LIGO are funded by the United States National Science Foundation (NSF) as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council. Virgo is funded, through the European Gravitational Observatory (EGO), by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale di Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, Spain. KAGRA is supported by Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan Society for the Promotion of Science (JSPS) in Japan; National Research Foundation (NRF) and Ministry of Science and ICT (MSIT) in Korea; Academia Sinica (AS) and National Science and Technology Council (NSTC) in Taiwan.
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Additional details
- ISSN
- 2470-0029
- National Science Foundation
- PHY-0757058
- National Science Foundation
- PHY-0823459
- National Science Foundation
- PHY-1764464
- National Science Foundation
- PHY-2011865
- National Science Foundation
- OAC-2103662
- National Science Foundation
- PHY-1626190
- National Science Foundation
- PHY-1700765
- National Science Foundation
- PHY-2207728
- National Science Foundation
- PHY-2207594
- Science and Technology Facilities Council
- Max Planck Society
- Australian Research Council
- Centre National pour la Recherche Scientifique et Technique (CNRST)
- Istituto Nazionale di Fisica Nucleare
- Dutch Nikhef
- Ministry of Education, Culture, Sports, Science and Technology
- Japan Society for the Promotion of Science
- National Research Foundation of Korea
- Ministry of Science and ICT
- Academia Sinica
- National Science and Technology Council
- Caltech groups
- LIGO
- Other Numbering System Name
- LIGO
- Other Numbering System Identifier
- LIGO-P2300116