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Hauptverfasser: Wang, J., Xu, Y., Chen, L. J., Wu, C., Xin, L. P., Liang, E. W., Wei, J. Y.
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2503.06815
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author Wang, J.
Xu, Y.
Chen, L. J.
Wu, C.
Xin, L. P.
Liang, E. W.
Wei, J. Y.
author_facet Wang, J.
Xu, Y.
Chen, L. J.
Wu, C.
Xin, L. P.
Liang, E. W.
Wei, J. Y.
contents Rapid identification of candidates of high-value gamma-ray bursts (GRBs), including both high-$z$ and local events, is crucial for outlining subsequent observational strategy. In this paper, we present a model that enables an on-duty astronomer to rapidly identify candidates of local GRBs prior to spectroscopy, provided that these events have been localized at an arcseconds precision. After taking into account the mass distribution of the host galaxies of GRBs, the model calculates the two-dimensional cross-match probabilities between a localized GRB and its surrounding nearby galaxies, and then returns the best match with the highest probability. The model is evaluated not only by the observed GRB sample with redshifts up to $z=4$, but also through the simulated GRB samples. By using the recently published GLADE+ galaxies catalog with a completeness of 95\% up to 500Mpc, along with the NED-LVS catalog, the Precision and Recall of the model are determined to be 0.23-0.33 and 0.75, respectively, at the best performance. A dedicated web service, which will be integrated into the SVOM Science User Support System, has been developed to deploy the model.
format Preprint
id arxiv_https___arxiv_org_abs_2503_06815
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Picking-up Local GRB Candidates Based on Their Host Galaxies
Wang, J.
Xu, Y.
Chen, L. J.
Wu, C.
Xin, L. P.
Liang, E. W.
Wei, J. Y.
High Energy Astrophysical Phenomena
Instrumentation and Methods for Astrophysics
Rapid identification of candidates of high-value gamma-ray bursts (GRBs), including both high-$z$ and local events, is crucial for outlining subsequent observational strategy. In this paper, we present a model that enables an on-duty astronomer to rapidly identify candidates of local GRBs prior to spectroscopy, provided that these events have been localized at an arcseconds precision. After taking into account the mass distribution of the host galaxies of GRBs, the model calculates the two-dimensional cross-match probabilities between a localized GRB and its surrounding nearby galaxies, and then returns the best match with the highest probability. The model is evaluated not only by the observed GRB sample with redshifts up to $z=4$, but also through the simulated GRB samples. By using the recently published GLADE+ galaxies catalog with a completeness of 95\% up to 500Mpc, along with the NED-LVS catalog, the Precision and Recall of the model are determined to be 0.23-0.33 and 0.75, respectively, at the best performance. A dedicated web service, which will be integrated into the SVOM Science User Support System, has been developed to deploy the model.
title Picking-up Local GRB Candidates Based on Their Host Galaxies
topic High Energy Astrophysical Phenomena
Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2503.06815