2024ApJ...977..273G

Query : 2024ApJ...977..273G

2024ApJ...977..273G - Astrophys. J., 977, 273 (2024/December-3)

Separating Repeating Fast Radio Bursts Using the Minimum Spanning Tree as an Unsupervised Methodology.

GARCIA C.R., TORRES D.F., ZHU-GE J.-M. and ZHANG B.

Abstract (from CDS):

Fast radio bursts (FRBs) represent one of the most intriguing phenomena in modern astrophysics. However, their classification into repeaters and nonrepeaters is challenging. Here, we present the application of the graph theory minimum spanning tree (MST) methodology as an unsupervised classifier of repeater and nonrepeater FRBs. By constructing MSTs based on various combinations of variables, we identify those that lead to MSTs that exhibit a localized high density of repeaters at each side of the node with the largest betweenness centrality. Comparing the separation power of this methodology against known machine learning methods, and with the random expectation results, we assess the efficiency of the MST-based approach to unravel the physical implications behind the graph pattern. We finally propose a list of potential repeater candidates derived from the analysis using the MST.

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

Journal keyword(s): Radio transient sources - Astronomy data analysis

Simbad objects: 33

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Number of rows : 33
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 FRB 20190527A rB 00 49 48.0000 +07 59 24.000           ~ 14 0
2 FRB 20190206B rB 03 19 02.4000 +79 30 00.000           ~ 10 0
3 FRB 20190617B rB 03 45 43.2000 +01 09 36.000           ~ 14 0
4 FRB 20190323D rB 03 47 31.2000 +46 55 48.000           ~ 8 0
5 FRB 20190223A rB 04 18 52.8000 +87 39 00.000           ~ 11 0
6 FRB 20190329A rB 04 22 09.6000 +73 37 48.000           ~ 11 0
7 FRB 20190128C rB 04 39 12.0000 +78 56 24.000           ~ 10 0
8 FRB 20181214A rB 04 40 00.0000 +43 04 12.000           ~ 12 0
9 FRB 20190430A rB 05 10 48.0000 +87 00 36.000           ~ 11 0
10 FRB 20181119D rB 05 31 58.6980 +33 08 52.588           ~ 933 0
11 FRB 20190601C rB 05 54 04.8000 +28 28 12.000           ~ 15 0
12 FRB 20181125A rB 09 51 45.6000 +33 55 48.000           ~ 14 0
13 FRB 20180907E rB 11 11 31.2000 +47 05 24.000           ~ 10 0
14 FRB 20190308C rB 12 33 26.4000 +44 23 24.000           ~ 13 0
15 FRB 20180920B rB 12 44 21.6000 +63 31 12.000           ~ 11 0
16 FRB 20181022E rB 14 44 43.2000 +27 07 48.000           ~ 10 0
17 FRB 20181017B rB 15 51 02.4000 +78 30 00.000           ~ 13 0
18 FRB 20181229B rB 15 53 28.8000 +19 46 48.000           ~ 12 0
19 FRB 20190206A rB 16 19 24.0000 +09 21 36.000           ~ 15 0
20 FRB 20190112A rB 17 11 55.2000 +61 12 00.000           ~ 12 0
21 FRB 20190410A rB 17 33 52.8000 -02 22 12.000           ~ 11 0
22 FRB 20190218B rB 17 54 48.0000 +17 55 48.000           ~ 13 0
23 FRB 20190412B rB 19 02 36.0000 +19 15 00.000           ~ 10 0
24 NAME Sgr 1935+2154 * 19 34 55.68 +21 53 48.2           ~ 820 1
25 FRB 200428 rB 19 35.0 +21 57           ~ 291 0
26 NAME FRB 190417.J1939+59 rB 19 39 04.0 +59 19 55           ~ 37 0
27 FRB 20190210C rB 19 43 00.0000 +89 06 00.000           ~ 9 0
28 FRB 20190423B rB 19 54 19.2000 +26 11 24.000           ~ 13 0
29 FRB 20181226E rB 20 14 14.4000 +73 38 24.000           ~ 11 0
30 FRB 20180928A rB 20 51 48.0000 +30 51 00.000           ~ 10 0
31 FRB 20190429B rB 21 59 43.2000 +03 57 36.000           ~ 11 0
32 FRB 20181220A rB 23 04 26.4000 +48 25 48.000           ~ 26 0
33 FRB 20180910A rB 23 31 04.8000 +88 12 36.000           ~ 14 0

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