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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2306.16483 |
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| _version_ | 1866910447228157952 |
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| author | Amerio, Aurelio Calore, Francesca Serpico, Pasquale Dario Zaldivar, Bryan |
| author_facet | Amerio, Aurelio Calore, Francesca Serpico, Pasquale Dario Zaldivar, Bryan |
| contents | We propose a novel statistical method to extend Fermi-LAT catalogues of high-latitude $γ$-ray sources below their nominal threshold. To do so, we rely on a recent determination of the differential source-count distribution of sub-threshold sources via the application of deep learning methods to the $γ$-ray sky. By simulating ensembles of synthetic skies, we assess quantitatively the likelihood for pixels in the sky with relatively low-test statistics to be due to sources. Besides being useful to orient efforts towards multi-messenger and multi-wavelength identification of new $γ$-ray sources, we expect the results to be especially advantageous for statistical applications such as cross-correlation analyses. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2306_16483 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Deepening gamma-ray point-source catalogues with sub-threshold information Amerio, Aurelio Calore, Francesca Serpico, Pasquale Dario Zaldivar, Bryan High Energy Astrophysical Phenomena We propose a novel statistical method to extend Fermi-LAT catalogues of high-latitude $γ$-ray sources below their nominal threshold. To do so, we rely on a recent determination of the differential source-count distribution of sub-threshold sources via the application of deep learning methods to the $γ$-ray sky. By simulating ensembles of synthetic skies, we assess quantitatively the likelihood for pixels in the sky with relatively low-test statistics to be due to sources. Besides being useful to orient efforts towards multi-messenger and multi-wavelength identification of new $γ$-ray sources, we expect the results to be especially advantageous for statistical applications such as cross-correlation analyses. |
| title | Deepening gamma-ray point-source catalogues with sub-threshold information |
| topic | High Energy Astrophysical Phenomena |
| url | https://arxiv.org/abs/2306.16483 |