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arXiv · 2512.06055

Investigating all-sky Frequency Hough performances for neutron stars

Martina Di Cesare·Pia Astone·Rosario De Rosa·David Keitel·Cristiano Palomba·Marco Serra
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Abstract

Between the estimated population of Neutron Stars (NSs) and the actual number present in the catalogs, there is a huge gap: O(10$^{8-9}$) vs O(10$^3$). Among the different search techniques for Continuous gravitational waves (CWs), the all-sky could help to reduce the discrepancy. We focus on the all-sky CW pipeline Frequency Hough (FH), which operates without prior knowledge of the source parameters ($f,\dot{f}, \lambda, \beta$). Here, we present a Machine Learning strategy, diverging from the standard follow-up(FU) of the FH pipeline. We study the performance with real interferometer data, until reaching $h$ value subthreshold for the standard FU procedure ($CR_{thr}=5$), with encouraging classification results.

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Martina Di Cesare, Pia Astone, Rosario De Rosa, David Keitel, Cristiano Palomba, Marco Serra. 2025-12-05. Investigating all-sky Frequency Hough performances for neutron stars. https://arxiv.org/abs/2512.06055

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