J/ApJS/280/34 Three fast radio bursts monitoring with FAST (Guo+, 2025)
Accelerating the fast radio burst search: data set and methods.
Guo X., Wang H., Xiao Y., Chen H., Ke Y., Miao C., Wang P., Li Di, Jin C.,
He L., Feng Yi, Zhang Y., Xu J., Chen G.
<Astrophys. J. Suppl. Ser., 280, 34 (2025)>
=2025ApJS..280...34G 2025ApJS..280...34G
ADC_Keywords: Radio sources; Transient
Keywords: Radio transient sources ; Astronomy databases ; Astronomy software
Abstract:
Fast radio bursts (FRBs) are an extremely energetic cosmic phenomenon
of short duration. Discovered only recently and with its origin still
unknown, FRBs have already started to play a significant role in
studying the distribution and evolution of matter in the Universe.
FRBs can only be observed through radio telescopes, which produce
petabytes of data, rendering the search for FRBs a challenging task.
Traditional techniques are computationally expensive, time-consuming,
and generally biased against weak signals. Various machine learning
algorithms have been developed and employed, all of which require
substantial data sets. Here, we introduce the FAST data set for FRBs
EXploration, built upon the observations obtained by the
Five-hundred-meter Aperture Spherical radio Telescope. Our data set
comprises 600 positive samples of observed FRB signals from three
sources and 1000 negative samples of noise and radio frequency
interference. Furthermore, we provide a machine learning algorithm,
Radio Single-Pulse Detection Algorithm Based on Visual Morphological
Features (RaSPDAM), with significant improvements in efficiency and
accuracy for FRB searches. We also employed the benchmark comparison
between conventional single-pulse search software, namely, PRESTO and
Heimdall, and RaSPDAM. RaSPDAMv2 achieves an average precision of 97%
and an average recall of 83%, with notable enhancements in
computational performance. Future machine learning algorithms can use
this as a reference point to measure their performance and identify
potential improvements. By enabling more accurate and efficient
detection of transient radio events, our work facilitates the FRB and
pulsars search pipeline, enhances the potential for discovering new
astrophysical phenomena.
Description:
We selected 600 bursts to create positive samples and ensured that
each positive sample contained only one FRB event. Positive samples
refer to data instances that contain confirmed FRB signals.
We created our data set by using the observational data of FRB20121102
(Li+ 2021, J/other/Nat/598.267), FRB 20180301 (Laha+ 2022ApJ...930..172L 2022ApJ...930..172L),
and FRB 20201124 (Niu+ 2022RAA....22l4004N 2022RAA....22l4004N; Zhang+ 2022RAA....22l4002Z 2022RAA....22l4002Z).
The Five-hundred-meter Aperture Spherical radio Telescope (FAST)
continuous monitoring of FRB 20121102 commenced in 2019-Aug, leading
to the detection of 1652 independent burst events between August 29
and October 29 within 59.5hr. Meanwhile, FAST observed FRB20180301 on
2021 March 4, 9, and 19 and detected five bright radio bursts. More
than 800 bursts were detected from FRB20201124 by FAST between
2021-Sep-25 and 28.
The data set comprises 470 signals from FRB 20121102, five signals
from FRB 20180301, and 125 signals from FRB 20201124.
These observations gathered data using 4096 frequency channels over
1.05GHz to 1.45GHz, with 0.122MHz frequency resolution.
Objects:
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RA (ICRS) DE Designation(s)
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05 31 58.69 +33 08 52.5 FRB20121102 = FRB 121102
06 12 43.40 +04 33 44.8 FRB20180301 = FRB 180301
05 07 57.60 +26 11 24.0 FRB20201124 = FRB 20201124A
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File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
table4.dat 118 600 Parameters of 600 positive samples in dataset
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See also:
J/other/PASA/33.45 : FRBCAT: The Fast Radio Burst (FRB) Cat. (Petroff+, 2016)
J/A+A/626/A104 : LOTAAS pulsar discoveries (Sanidas+, 2019)
J/ApJS/257/59 : First CHIME FRB Cat. (CHIME/FRB Col.+, 2021)
J/other/Nat/598.267 : List of radio bursts (Li+, 2021)
J/MNRAS/509/1227 : Hidden repeating fast radio bursts (Chen+, 2022)
J/MNRAS/511/1961 : New CHIME/FRB I cat. updates released (Hashimoto+, 2022)
J/A+A/675/A99 : FRBs search with Fermi-LAT (Principe+, 2023)
Byte-by-byte Description of file: table4.dat
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Bytes Format Units Label Explanations
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1- 21 A21 --- File Burst file name (1)
23- 33 A11 --- Source Source identifier (FRB20121102, FRB20180301
or FRB20201124)
35- 45 F11.5 d MJD [58724.87/59485.83] Modified Julian Date
47- 52 F6.2 pc.cm-3 DM [411.5/570] Dispersion Measure
54- 59 F6.4 s ToA [0.0097/4.97] Time of Arrival
61- 65 F5.2 ms FWHM [0.34/78.52] Full Width at Half Maximum
67- 69 I3 MHz Bandwidth [16/500] Bandwidth
71- 78 F8.6 Jy Flux [0.0016/0.85] Peak flux density
80- 85 F6.4 Jy.ms Fluence [0.0016/4.57] Fluence
87-118 A32 --- FileID File ID at DOI:10.57760/sciencedb.15070;
column added by CDS
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Note (1): The data set is publicly and freely available to the
scientific community (http://doi.org/10.57760/sciencedb.15070)
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History:
From electronic version of the journal
License: CC-BY-4.0
(End) Prepared by [AAS], Emmanuelle Perret [CDS] 04-Jun-2026