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Astrometry meets pulsar timing arrays: Synergies for gravitational wave detection
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Gianmassimo Tasinato ,
Ivonne Zavala Carrasco
Physical Review D, Volume: 112, Issue: 8, Start page: 083558
Swansea University Authors:
Marisol Jimenez Cruz, Ameek Malhotra , Gianmassimo Tasinato , Ivonne Zavala Carrasco
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DOI (Published version): 10.1103/8k1p-pzcg
Abstract
High-precision astrometry offers a promising approach to detect low-frequency gravitational waves, complementing pulsar timing array (PTA) observations. We explore the response of astrometric measurements to a stochastic gravitational wave background (SGWB) in synergy with PTA data. Analytical, cova...
| Published in: | Physical Review D |
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| ISSN: | 2470-0010 2470-0029 |
| Published: |
American Physical Society (APS)
2025
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa70640 |
| Abstract: |
High-precision astrometry offers a promising approach to detect low-frequency gravitational waves, complementing pulsar timing array (PTA) observations. We explore the response of astrometric measurements to a stochastic gravitational wave background (SGWB) in synergy with PTA data. Analytical, covariant expressions for this response are derived, accounting for the presence of a possible dipolar anisotropy in the SGWB. We identify the optimal estimator for extracting SGWB information from astrometric observations and examine how sensitivity to SGWB properties varies with the sky positions of stars and pulsars. Using representative examples of current PTA capabilities and near-future astrometric sensitivity, we demonstrate that cross-correlating astrometric and PTA data can improve constraints on SGWB properties, compared to PTA data alone. The improvement is quantified through Fisher forecasts for the SGWB amplitude, spectral tilt, and dipolar anisotropy amplitude. In the future, such joint constraints could play a crucial role in identifying the origin of SGWB signals detected by PTAs. |
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| College: |
Faculty of Science and Engineering |
| Funders: |
This work was partially funded by the STFC Grants No. ST/T000813/1 and No. ST/X000648/1. We also acknowledge the support of the Supercomputing Wales project, which is partly funded by the European Regional Development Fund (ERDF) via the Welsh Government. |
| Issue: |
8 |
| Start Page: |
083558 |