Issue |
A&A
Volume 687, July 2024
|
|
---|---|---|
Article Number | A196 | |
Number of page(s) | 12 | |
Section | Astronomical instrumentation | |
DOI | https://doi.org/10.1051/0004-6361/202449251 | |
Published online | 12 July 2024 |
A blind search for intraday gamma-ray transients with Fermi-LAT: Detections of GRB and solar emissions
1
GRAPPA, Anton Pannekoek Institute for Astronomy, University of Amsterdam,
Science Park 904,
1098
XH
Amsterdam,
The Netherlands
e-mail: phdmitry@gmail.com
2
Institute of Physics, Academia Sinica,
Taipei
11529,
Taiwan
3
Academia Sinica Institute of Astronomy and Astrophysics,
11F of AS/NTU Astronomy-Mathematics Building, No. 1, Sec. 4, Roosevelt Rd.,
Taipei
10617,
Taiwan
4
Jodrell Bank Centre for Astrophysics, University of Manchester,
Manchester
M13 9PL,
UK
e-mail: anthony.moraghan@manchester.ac.uk
Received:
17
January
2024
Accepted:
19
April
2024
We present a search for intraday transient γ-ray signals using 15.4 yr of the Fermi Large Area Telescope data. The search is based on a recently developed variable-size sliding-time-window (VSSTW) analysis and is aimed at studying variable γ-ray emission from gamma-ray bursts (GRBs) and the Sun. We refined the algorithm for searches for transient sources in order to solve the search problem within a reasonable amount of CPU time. These refinements allowed us to increase the number of gamma-ray bursts, solar flares, and quiescent solar events detected with the VSSTW technique by several times compared to the previous VSSTW search. The current search revealed a new γ-ray signal recorded with Fermi-LAT on 2018 January 12. This signal is probably from a GRB and deserves an exploration of the existing archival multiwavelength observations in order to identify it in an unambiguous way. We also report a γ-ray signal from the solar flare on 2023 December 31 that occurred during the 25th solar cycle.
Key words: methods: data analysis / catalogs / Sun: flares / Sun: X-rays, gamma rays / gamma rays: general
© The Authors 2024
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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