New Methods for Offline GstLAL Analyses
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| Format: | Preprint |
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2025
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| author | Joshi, Prathamesh Tsukada, Leo Hanna, Chad Adhicary, Shomik Mukherjee, Debnandini Niu, Wanting Sakon, Shio Singh, Divya Baral, Pratyusava Baylor, Amanda Cannon, Kipp Caudill, Sarah Cousins, Bryce Creighton, Jolien D. E. Ewing, Becca Fong, Heather George, Richard N. Godwin, Patrick Harada, Reiko Huang, Yun-Jing Huxford, Rachael Kennington, James Kuwahara, Soichiro Li, Alvin K. Y. Magee, Ryan Meacher, Duncan Messick, Cody Morisaki, Soichiro Pace, Alexander Posnansky, Cort Ray, Anarya Sachdev, Surabhi Schmidt, Stefano Shah, Urja Tapia, Ron Ueno, Koh Viets, Aaron Wade, Leslie Wade, Madeline Yarbrough, Zach Zhang, Noah |
| author_facet | Joshi, Prathamesh Tsukada, Leo Hanna, Chad Adhicary, Shomik Mukherjee, Debnandini Niu, Wanting Sakon, Shio Singh, Divya Baral, Pratyusava Baylor, Amanda Cannon, Kipp Caudill, Sarah Cousins, Bryce Creighton, Jolien D. E. Ewing, Becca Fong, Heather George, Richard N. Godwin, Patrick Harada, Reiko Huang, Yun-Jing Huxford, Rachael Kennington, James Kuwahara, Soichiro Li, Alvin K. Y. Magee, Ryan Meacher, Duncan Messick, Cody Morisaki, Soichiro Pace, Alexander Posnansky, Cort Ray, Anarya Sachdev, Surabhi Schmidt, Stefano Shah, Urja Tapia, Ron Ueno, Koh Viets, Aaron Wade, Leslie Wade, Madeline Yarbrough, Zach Zhang, Noah |
| contents | In this work, we present new methods implemented in the GstLAL offline gravitational wave search. These include a technique to reuse the matched filtering data products from a GstLAL online analysis, which hugely reduces the time and computational resources required to obtain offline results; a technique to combine these results with a separate search for heavier black hole mergers, enabling detections from a larger set of gravitational wave sources; changes to the likelihood ratio which increases the sensitivity of the analysis; and two separate changes to the background estimation, allowing more precise significance estimation of gravitational wave candidates. Some of these methods increase the sensitivity of the analysis, whereas others correct previous mis-estimations of sensitivity by eliminating false positives. These methods have been adopted for GstLAL's offline results during the fourth observing run of LIGO, Virgo, and KAGRA (O4). To test these new methods, we perform an offline analysis over one chunk of O3 data, lasting from May 12 19:36:42 UTC 2019 to May 21 14:45:08 UTC 2019, and compare it with previous GstLAL results over the same period of time. We show that cumulatively these methods afford around a 50% - 100% increase in sensitivity in the highest mass space, while simultaneously increasing the reliability of results, and making them more reusable and computationally cheaper. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_06497 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | New Methods for Offline GstLAL Analyses Joshi, Prathamesh Tsukada, Leo Hanna, Chad Adhicary, Shomik Mukherjee, Debnandini Niu, Wanting Sakon, Shio Singh, Divya Baral, Pratyusava Baylor, Amanda Cannon, Kipp Caudill, Sarah Cousins, Bryce Creighton, Jolien D. E. Ewing, Becca Fong, Heather George, Richard N. Godwin, Patrick Harada, Reiko Huang, Yun-Jing Huxford, Rachael Kennington, James Kuwahara, Soichiro Li, Alvin K. Y. Magee, Ryan Meacher, Duncan Messick, Cody Morisaki, Soichiro Pace, Alexander Posnansky, Cort Ray, Anarya Sachdev, Surabhi Schmidt, Stefano Shah, Urja Tapia, Ron Ueno, Koh Viets, Aaron Wade, Leslie Wade, Madeline Yarbrough, Zach Zhang, Noah General Relativity and Quantum Cosmology Instrumentation and Methods for Astrophysics In this work, we present new methods implemented in the GstLAL offline gravitational wave search. These include a technique to reuse the matched filtering data products from a GstLAL online analysis, which hugely reduces the time and computational resources required to obtain offline results; a technique to combine these results with a separate search for heavier black hole mergers, enabling detections from a larger set of gravitational wave sources; changes to the likelihood ratio which increases the sensitivity of the analysis; and two separate changes to the background estimation, allowing more precise significance estimation of gravitational wave candidates. Some of these methods increase the sensitivity of the analysis, whereas others correct previous mis-estimations of sensitivity by eliminating false positives. These methods have been adopted for GstLAL's offline results during the fourth observing run of LIGO, Virgo, and KAGRA (O4). To test these new methods, we perform an offline analysis over one chunk of O3 data, lasting from May 12 19:36:42 UTC 2019 to May 21 14:45:08 UTC 2019, and compare it with previous GstLAL results over the same period of time. We show that cumulatively these methods afford around a 50% - 100% increase in sensitivity in the highest mass space, while simultaneously increasing the reliability of results, and making them more reusable and computationally cheaper. |
| title | New Methods for Offline GstLAL Analyses |
| topic | General Relativity and Quantum Cosmology Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2506.06497 |