TESLA-X: An effective method to search for sub-threshold lensed gravitational waves with a targeted population model
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911161283248128 |
|---|---|
| author | Li, Alvin K. Y. Chan, Juno C. L. Fong, Heather Chong, Aidan H. Y. Weinstein, Alan J. Ezquiaga, Jose M. |
| author_facet | Li, Alvin K. Y. Chan, Juno C. L. Fong, Heather Chong, Aidan H. Y. Weinstein, Alan J. Ezquiaga, Jose M. |
| contents | Strong gravitational lensing can produce copies of gravitational-wave signals from the same source with the same waveform morphologies but different amplitudes and arrival times. Some of these strongly-lensed gravitational-wave signals can be demagnified and become subthreshold. We present TESLA-X, an enhanced approach to the original GstLAL-based TargetEd Subthreshold Lensing seArch (TESLA) method, for improving the detection efficiency of these potential subthreshold lensed signals. TESLA-X utilizes lensed injections to generate a targeted population model and a targeted template bank. We compare the performance of a full template bank search, TESLA, and TESLA-X methods via a simulation campaign, and demonstrate the performance of TESLA-X in recovering lensed injections, particularly targeting a mock event. Our results show that the TESLA-X method achieves a maximum of $\sim 10\%$ higher search sensitivity compared to the TESLA method within the subthreshold regime, presenting a step towards detecting the first lensed gravitational wave. TESLA-X will be employed for the LIGO-Virgo-KAGRA's collaboration-wide analysis to search for lensing signatures in the fourth observing run. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_06416 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | TESLA-X: An effective method to search for sub-threshold lensed gravitational waves with a targeted population model Li, Alvin K. Y. Chan, Juno C. L. Fong, Heather Chong, Aidan H. Y. Weinstein, Alan J. Ezquiaga, Jose M. General Relativity and Quantum Cosmology Instrumentation and Methods for Astrophysics Strong gravitational lensing can produce copies of gravitational-wave signals from the same source with the same waveform morphologies but different amplitudes and arrival times. Some of these strongly-lensed gravitational-wave signals can be demagnified and become subthreshold. We present TESLA-X, an enhanced approach to the original GstLAL-based TargetEd Subthreshold Lensing seArch (TESLA) method, for improving the detection efficiency of these potential subthreshold lensed signals. TESLA-X utilizes lensed injections to generate a targeted population model and a targeted template bank. We compare the performance of a full template bank search, TESLA, and TESLA-X methods via a simulation campaign, and demonstrate the performance of TESLA-X in recovering lensed injections, particularly targeting a mock event. Our results show that the TESLA-X method achieves a maximum of $\sim 10\%$ higher search sensitivity compared to the TESLA method within the subthreshold regime, presenting a step towards detecting the first lensed gravitational wave. TESLA-X will be employed for the LIGO-Virgo-KAGRA's collaboration-wide analysis to search for lensing signatures in the fourth observing run. |
| title | TESLA-X: An effective method to search for sub-threshold lensed gravitational waves with a targeted population model |
| topic | General Relativity and Quantum Cosmology Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2311.06416 |