Toward a computationally efficient follow-up pipeline for blind continuous gravitational-wave searches

The sensitivity of continuous gravitational-wave (CW) searches for unknown neutron stars (NSs) is limited by their parameter space breadth. To fit within reasonable computing budgets, hierarchical schemes are used to identify interesting candidates using affordable methods. The resulting sensitivity depends on the number of candidates selected to follow-up. In this work, we present a novel framework to evaluate the effectiveness of stochastic CW follow-ups. Our results allow for a significant reduction of the computing cost of pyfstat, a well-established follow-up method. We also simplify the setup of multistage follow-ups by removing the need for parameter-space metrics. The study was conducted on Gaussian and real O3 Advanced LIGO data covering both isolated and binary sources. These results will have a positive impact on the sensitivity of all-sky searches in the forthcoming observing runs of the LIGO-Virgo-KAGRA collaboration.

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Publication Details

Journal
Physical review. D/Physical review. D.
Published
2024-12-19
DOI
https://doi.org/10.1103/physrevd.110.124049
Citations
4
Primary Topic
Pulsars and Gravitational Waves Research
Type
article
Field-Weighted Citation Impact
1.33

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article

Toward a computationally efficient follow-up pipeline for blind continuous gravitational-wave searches

R. Tenorio, L. Mirasola
4 citations
Physical review. D/Physical review. D.
Pulsars and Gravitational Waves Research
1.33
article

Toward a computationally efficient follow-up pipeline for blind continuous gravitational-wave searches

R. Tenorio, L. Mirasola
article en
4 citations

Abstract

The sensitivity of continuous gravitational-wave (CW) searches for unknown neutron stars (NSs) is limited by their parameter space breadth. To fit within reasonable computing budgets, hierarchical schemes are used to identify interesting candidates using affordable methods. The resulting sensitivity depends on the number of candidates selected to follow-up. In this work, we present a novel framework to evaluate the effectiveness of stochastic CW follow-ups. Our results allow for a significant reduction of the computing cost of pyfstat, a well-established follow-up method. We also simplify the setup of multistage follow-ups by removing the need for parameter-space metrics. The study was conducted on Gaussian and real O3 Advanced LIGO data covering both isolated and binary sources. These results will have a positive impact on the sensitivity of all-sky searches in the forthcoming observing runs of the LIGO-Virgo-KAGRA collaboration.

Physical review. D/Physical review. D.Vol. 110(12)
University of Cagliari (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Cagliari (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Milano Bicocca (IT), Fundació Universitat-Empresa de les Illes Balears (ES), Universitat de les Illes Balears (ES), University of Milano-Bicocca (IT), IAC (United States) (US)
National Science Foundation, National Research Centre, Ministry of Education, Culture, Sports, Science and Technology, Academia Sinica, Fondazione Cariplo, National Research Foundation of Korea, Max-Planck-Gesellschaft, Centre National de la Recherche Scientifique, Universitat de les Illes Balears, Ministry of Science and ICT, South Korea, Multidisciplinary University Research Initiative, Science and Technology Facilities Council, Australian Research Council, Japan Society for the Promotion of Science, Instituto Nazionale di Fisica Nucleare, European Regional Development Fund, Agencia Estatal de Investigación, Direcció General de Recerca, Generalitat de Catalunya, H2020 European Research Council
Openalex Percentile: Top 19%
Pulsars and Gravitational Waves Research
1.33
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