Documentdetail
ID kaart

oai:arXiv.org:2410.19420

Onderwerp
General Relativity and Quantum Cos... Astrophysics - Instrumentation and... Physics - Data Analysis, Statistic...
Auteur
Di Giovanni, Matteo Leaci, Paola Astone, Pia Pra, Stefano Dal D'Antonio, Sabrina D'Onofrio, Luca Frasca, Sergio Muciaccia, Federico Palomba, Cristiano Pierini, Lorenzo Tehrani, Francesco Safai
Categorie

wetenschappen: astrofysica

Jaar

2024

vermelding datum

12-02-2025

Trefwoorden
candidates frequency analysis hough
Metriek

Beschrijving

We present an improved method for vetoing candidates of continuous gravitational-wave sources during all-sky searches utilizing the Frequency Hough pipeline.

This approach leverages linear correlations between source parameters induced by the Earth Doppler effect, which can be effectively identified through the Hough Transform.

Candidates that do not align with these patterns are considered spurious and can thus be vetoed, enhancing the depth and statistical significance of follow-up analyses.

Additionally, we provide a comprehensive explanation of the method calibration, which intrinsically linked to the total duration of the observing run.

On average, the procedure successfully vetoes $56\%$ of candidates.

To assess the method performance, we conducted a Monte-Carlo simulation injecting fake continuous-wave signals into data from the third observing run of the LIGO detectors.

This analysis allowed us to infer strain amplitude upper limits at a $90\%$ confidence level.

We found that the optimal sensitivity is $h_0^{90\%} = 3.62^{+0.23}_{-0.22}\times 10^{-26}$ in the [128, 200] Hz band, which is within the most sensible frequency band of the LIGO detectors.

;Comment: 13 pages, 9 figures, 5 tables

Di Giovanni, Matteo,Leaci, Paola,Astone, Pia,Pra, Stefano Dal,D'Antonio, Sabrina,D'Onofrio, Luca,Frasca, Sergio,Muciaccia, Federico,Palomba, Cristiano,Pierini, Lorenzo,Tehrani, Francesco Safai, 2024, Doppler correlation-driven vetoes for the Frequency Hough analysis in continuous gravitational-wave searches

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