Investigating all-sky Frequency Hough performances for neutron stars
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866915657654730752 |
|---|---|
| author | Di Cesare, Martina Astone, Pia De Rosa, Rosario Keitel, David Palomba, Cristiano Serra, Marco |
| author_facet | Di Cesare, Martina Astone, Pia De Rosa, Rosario Keitel, David Palomba, Cristiano Serra, Marco |
| contents | 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 ($f,\dot{f}, λ, β$). 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_06055 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Investigating all-sky Frequency Hough performances for neutron stars Di Cesare, Martina Astone, Pia De Rosa, Rosario Keitel, David Palomba, Cristiano Serra, Marco General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena 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 ($f,\dot{f}, λ, β$). 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. |
| title | Investigating all-sky Frequency Hough performances for neutron stars |
| topic | General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena |
| url | https://arxiv.org/abs/2512.06055 |