2024ApJ...973...63P


Query : 2024ApJ...973...63P

2024ApJ...973...63P - Astrophys. J., 973, 63 (2024/September-3)

A New Deep Learning Model to Detect Gamma-Ray Bursts in the AGILE Anticoincidence System.

PARMIGGIANI N., BULGARELLI A., CASTALDINI L., DE ROSA A., DI PIANO A., FALCO R., FIORETTI V., MACALUSO A., PANEBIANCO G., URSI A., PITTORI C., TAVANI M. and BENEVENTANO D.

Abstract (from CDS):

The AGILE space mission was launched in 2007 to study X-ray and gamma-ray astrophysics. AGILE operated in spinning mode from 2009 until 2024 February 14, when it re-entered the Earth's atmosphere. This work uses data acquired from the AGILE anticoincidence system (ACS) from 2019 January 1 to 2022 December 31. The ACS is designed to reject charged background particles. It also detects X-ray photons in the 50-200 KeV energy range and saves each panel count rate in the telemetry as ratemeter data, a time series with a resolution of 1.024 s. We developed a method that uses a deep learning model to predict the background count rates of the AGILE ACS top panel (perpendicular to the pointing direction of the payload detectors) using the satellite's orbital parameters as input. Then, we use the difference between predicted and acquired count rates to detect gamma-ray bursts (GRB). We trained the model with a background-only data set. After the training, the model can predict the ACS count rates with a mean reconstruction error of 3.8%. We used the GRBs listed in the GRBweb catalog to search for significant anomalies in the ACS data. We extracted light curves of 140 bins of 1.024 s for each GRB from the AGILE ACS to cover the trigger time of the GRBs. The model detected 39 GRBs with a significance of σ ≥ 3. The results contain four GRBs detected for the first time in the AGILE data.

Abstract Copyright: © 2024. The Author(s). Published by the American Astronomical Society.

Journal keyword(s): Gamma-ray bursts - Convolutional neural networks

Simbad objects: 39

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Number of rows : 39
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026
#notes
1 GRB 200131A gB 00 12 22.65 +51 07 00.2           ~ 23 0
2 SN 2019oyw SN* 02 58 10.510 -08 57 27.20           ~ 218 0
3 GRB 190114C gB 03 38 01.18 -26 56 47.8           ~ 343 0
4 GRB 211023A gB 04 49 +85.3           ~ 42 0
5 GRB 201020B gB 05 01 52.03 +77 04 05.9           ~ 34 0
6 GRB 190727B gB 08 25 59.90 -13 16 18.9           ~ 18 0
7 GRB 220623A gB 09 41 34.51 +75 49 15.6           ~ 23 0
8 GRB 210818A gB 09 55 28.98 -87 01 33.5           ~ 13 0
9 GRB 191221B gB 10 19 19.17 -38 09 27.5           ~ 66 0
10 GRB 210704A gB 10 36 05.21 +57 12 59.1           ~ 36 0
11 GRB 210702A gB 11 14 18.89 -36 44 49.8           ~ 40 0
12 GRB 200521A gB 11 18.1 +07 13           ~ 10 0
13 GRB 191111B gB 15 57 38 -70 25.0           ~ 4 0
14 GRB 210610B gB 16 15 40.47 +14 23 56.3           ~ 87 0
15 GRB 200829A gB 16 44 49.42 +72 19 45.3           ~ 55 0
16 GRB 190103A gB 16 45.6 +17 23           ~ 7 0
17 GRB 210410A gB 17 59 01.05 +45 21 42.9           ~ 23 0
18 GRB 211120A gB 20 20.0 +41 25           ~ 9 0
19 GRB 190505A gB 22 21 33 +42 11.0           ~ 2 0
20 GRB 190731A gB 22 38 52.76 -76 34 37.9           ~ 18 0
21 GRB 190604A gB 22 50.2 +46 22           ~ 8 0
22 GRB 190706C gB 23 26.7 +24 45           ~ 7 0
23 GRB 220209A gB 23 28.5 +73 07           ~ 12 0
24 GRB 221023A gB ~ ~           ~ 12 0
25 GRB 190129A gB ~ ~           ~ 4 0
26 GRB 190329A gB ~ ~           ~ 6 0
27 GRB 190415A gB ~ ~           ~ 6 0
28 GRB 190501A gB ~ ~           ~ 14 0
29 GRB 190611B gB ~ ~           ~ 9 0
30 GRB 190928A gB ~ ~           ~ 16 0
31 GRB 200903E gB ~ ~           ~ 6 0
32 GRB 200919C gB ~ ~           ~ 7 0
33 GRB 210511B gB ~ ~           ~ 17 0
34 GRB 210606B gB ~ ~           ~ 12 0
35 GRB 211226A gB ~ ~           ~ 4 0
36 GRB 220308A gB ~ ~           ~ 8 0
37 GRB 220423A gB ~ ~           ~ 6 0
38 GRB 220624A gB ~ ~           ~ 13 0
39 GRB 220910A gB ~ ~           ~ 10 0

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