2023A&A...672A.111P

Query : 2023A&A...672A.111P

2023A&A...672A.111P - Astronomy and Astrophysics, volume 672A111 (2023/4-1)

Supernova search with active learning in ZTF DR3.

PRUZHINSKAYA M.V., ISHIDA E.E.O., NOVINSKAYA A.K., RUSSEIL E., VOLNOVA A.A., MALANCHEV K.L., KORNILOV M.V., ALEO P.D., KOROLEV V.S., KRUSHINSKY V.V., SREEJITH S. and GANGLER E.

Abstract (from CDS):

Context. We provide the first results from the complete SNAD adaptive learning pipeline in the context of a broad scope of data from large-scale astronomical surveys.
Aims. The main goal of this work is to explore the potential of adaptive learning techniques in application to big data sets.
Methods. Our SNAD team used Active Anomaly Discovery (AAD) as a tool to search for new supernova (SN) candidates in the photometric data from the first 9.4 months of the Zwicky Transient Facility (ZTF) survey, namely, between March 17 and December 31, 2018 (58 194 ≤ MJD ≤ 58 483). We analysed 70 ZTF fields at a high galactic latitude and visually inspected 2100 outliers.
Results. This resulted in 104 SN-like objects being found, 57 of which were reported to the Transient Name Server for the first time and with 47 having previously been mentioned in other catalogues, either as SNe with known types or as SN candidates. We visually inspected the multi-colour light curves of the non-catalogued transients and performed fittings with different supernova models to assign it to a probable photometric class: Ia, Ib/c, IIP, IIL, or IIn. Moreover, we also identified unreported slow-evolving transients that are good superluminous SN candidates, along with a few other non-catalogued objects, such as red dwarf flares and active galactic nuclei.
Conclusions. Beyond confirming the effectiveness of human-machine integration underlying the AAD strategy, our results shed light on potential leaks in currently available pipelines. These findings can help avoid similar losses in future large-scale astronomical surveys. Furthermore, the algorithm enables direct searches of any type of data and based on any definition of an anomaly set by the expert.

Abstract Copyright: © The Authors 2023

Journal keyword(s): supernovae: general - methods: data analysis - surveys

Simbad objects: 106

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Number of rows : 106
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 M 31 AGN 00 42 44.330 +41 16 07.50 4.86 4.36 3.44     ~ 13622 1
2 SN 2006gy SN* 03 17 27.06 +41 24 19.5       14.20   SNIIn 372 1
3 SN 2018zd SN* 06 18 03.180 +78 22 00.90           SNII 74 0
4 SN 2018aae SN* 12 21 34.1 +55 34 27           SNIa-norm 3 0
5 AT 2018lwp SN* 12 44 42.74 +54 18 45.1           SNIIn 2 0
6 AT 2018mbz SN* 12 45 53.78 +42 13 18.3           SNIIL 2 0
7 AT 2018lys SN* 12 50 13.78 +46 37 50.4           SNIIn 2 0
8 AT 2018lyr SN* 13 08 51.83 +44 58 11.3           SNIIn 2 0
9 SN 2018avk SN* 13 11 27.750 +65 38 17.16           SLSN-I 14 0
10 AT 2018awa SN* 13 22 40.9832 +54 21 08.514           SNIapec 2 0
11 AT 2018lzj SN* 13 23 36.78 +55 58 41.3           SNIbc 2 0
12 SN 2018bbj SN* 13 35 05.59 +53 52 30.6           SNIa 3 0
13 AT 2018mca SN* 13 38 58.72 +43 54 26.7           SNIIL 2 0
14 SN 2018lzi SN* 13 43 53.35003 +61 33 17.0672           SNIIP 5 0
15 AT 2018mcb SN* 13 53 07.37 +40 48 07.4           SNIIP 2 0
16 SN 2018don SN* 13 55 08.64 +58 29 41.9           SLSN-I 22 0
17 SN 2018avz SN* 13 59 05.490 +58 16 06.13           SNIa 2 0
18 AT 2018mcc SN* 14 02 45.70 +39 39 31.3           SNIa 2 0
19 AT 2018lxi SN* 14 08 33.70 +58 29 53.0           SNIIL 2 0
20 MASTER OT J141021.86+391928.4 SN? 14 10 21.86 +39 19 28.4           ~ 3 0
21 CRTS MLS180418 J141541+433154 SN? 14 15 40.60 +43 31 54.3           ~ 1 0
22 AT 2018lxg SN* 14 29 32.07 +33 32 30.7           SNIIP 2 0
23 SN 2018alc SN* 14 33 19.930 +41 16 03.36           SNIb 4 0
24 AT 2018lwl SN* 14 33 23.10 +49 13 31.9           SNIbc 1 0
25 AT 2018lwk SN* 14 35 39.89 +46 23 03.9           SNIIP 2 0
26 AT 2018lwm SN* 14 37 40.64 +50 10 01.4           SNIa 2 0
27 AT 2018lwj SN* 14 39 21.09 +47 24 13.6           SNIIP 1 0
28 SN 2018aoy SN* 14 50 47.920 +54 24 28.80           SNIa 3 0
29 AT 2018lxj SN* 14 50 59.2926 +55 11 39.095           SNIa 3 0
30 AT 2018mby SN* 14 54 24.28 +32 46 43.4           SNIIL 2 0
31 AT 2018cff SN? 14 56 16.66 +34 03 02.6           ~ 1 0
32 AT 2018mcd SN* 14 57 52.01 +38 57 11.9           SNIa 2 0
33 AT 2018lxl SN* 14 59 50.94 +57 31 21.5           SNIIn 2 0
34 AT 2018lxk SN* 15 06 36.28 +54 42 07.5           SNIIn 1 0
35 SN 2018aab SN* 15 07 22.8360 +38 24 59.612           SNIa 2 0
36 SN 2018dfa SN* 15 20 52.11 +54 12 56.1           SNIIP 6 0
37 AT 2018lxm SN* 15 22 01.92 +53 36 58.0           SNIIn 2 0
38 AT 2018lxh SN* 15 22 51.04 +41 03 06.6           SNIIn 2 0
39 AT 2018lxo SN* 15 28 31.26 +51 59 23.9           SNIa 2 0
40 AT 2018doz SN? 15 28 53.46 +37 37 13.5           ~ 1 0
41 AT 2018lxn SN* 15 49 07.47 +41 54 55.7           SNIIL 2 0
42 SN 2018apn SN* 15 50 03.541 +42 05 18.48           SNIa 6 0
43 AT 2018lxp SN* 15 58 46.09 +56 25 28.5           SNIbc 2 0
44 AT 2018lxq SN* 15 59 49.97 +55 20 31.8           SNIbc 2 0
45 SN 2018zs SN* 16 01 49.02 +47 23 26.6           SNIa 3 0
46 AT 2018lww SN* 16 09 10.90 +62 29 14.6           SNIa 2 0
47 AT 2018lxt SN* 16 09 13.78 +52 12 51.3           SNIIn 2 0
48 AT 2018lxr SN* 16 11 45.03 +55 57 40.8           SNIa 2 0
49 SN 2018coi SN* 16 18 57.98 +56 43 00.8           SNIa 11 0
50 AT 2018lwi SN* 16 20 12.90 +28 22 55.9           SNIIn 2 0
51 SN 2018anx SN* 16 23 07.84 +39 18 53.9           SNII 1 0
52 AT 2018lwz SN* 16 23 12.14 +68 41 29.5           SNIIn 2 0
53 SN 2018baz SN* 16 24 13.39 +25 16 19.4           SNIa 3 0
54 SN 2018bqs SN* 16 29 02.38 +43 37 36.6           SNII 2 0
55 SN 2018cbb SN* 16 29 05.44 +39 53 11.5           SNII 1 0
56 AT 2018lwh SN* 16 29 49.303 +24 46 22.15           SNIIn 3 0
57 SN 2018gj SN* 16 32 02.31 +78 12 40.9           SNII 21 0
58 SN 2018aqm SN* 16 32 11.560 +42 42 48.30           SNIa 7 0
59 AT 2018lxb SN* 16 33 19.94 +71 06 54.5           SNIIP 2 0
60 CRTS MLS180307 J163438+521642 SN? 16 34 37.84 +52 16 42.3           ~ 1 0
61 SN 2018gk SN* 16 35 53.908 +40 01 58.31           SNII 14 0
62 AT 2018feo SN? 16 41 28.00 +44 01 41.8           ~ 1 0
63 SN 2018gep SN* 16 43 48.2 +41 02 43           SNIc-BL 66 0
64 SN 2018fnd SN* 16 47 54.590 +42 58 07.61           SNIa 10 0
65 AT 2018lxs SN* 16 49 12.52 +54 06 42.4           SNIa 2 0
66 AT 2018giw SN? 16 50 00.94 +55 50 23.4           ~ 1 0
67 SN 2018dfi SN* 16 50 50.10 +45 23 52.5           SN.II 8 0
68 SN 2018fin SN* 16 51 00.830 +25 52 33.51           SNIa 6 0
69 AT 2018lwv SN* 16 51 17.61 +62 49 58.3           SNIIn 2 0
70 SN 2018coe SN* 16 51 37.360 +61 32 43.34           SNIa 9 0
71 AT 2018lwx SN* 16 56 11.69 +65 00 43.8           SNIIP 1 0
72 SN 2018aql SN* 16 57 05.003 +39 22 54.09           SNIIP 5 0
73 AT 2018lwn SN* 16 57 40.09 +44 17 52.9           SNIbc 2 0
74 SN 2018dxt SN* 16 58 53.617 +45 17 19.92           SNIc 3 0
75 SN 2018cnw SN* 16 59 05.07 +47 14 11.1           SNIa 19 0
76 AT 2018lwt SN* 16 59 16.54 +58 22 31.7           SNIa 2 0
77 SN 2018lxa SN* 17 00 16.32724 +70 30 50.8343           SNIIP 4 0
78 SN 2018jo SN* 17 06 04.92 +29 40 05.9           SNII 2 0
79 AT 2018lwu SN* 17 09 05.54 +57 33 13.7           SNIIn 2 0
80 AT 2018lxu SN* 17 10 41.28 +63 41 48.9           SNIa 2 0
81 AT 2018lwo SN* 17 11 21.61 +48 12 40.6           SNIa 2 0
82 AT 2018lxw SN* 17 11 33.36 +62 29 49.8           SNIa 2 0
83 CRTS MLS180604 J171709+480157 SN? 17 17 08.81 +48 01 57.1           ~ 1 0
84 AT 2018lzn SN* 17 17 35.93 +44 30 54.2           SNIbc 2 0
85 AT 2018lzo SN* 17 18 24.43 +48 36 30.5           SNIa 2 0
86 AT 2018lxv SN* 17 20 38.95 +59 29 51.7           SNIIn 2 0
87 SN 2018big SN* 17 25 39.153 +59 26 48.40           SN.Ia 15 0
88 AT 2018czw SN? 17 27 18.02 +58 39 09.8           ~ 1 0
89 AT 2018lws SN* 17 33 30.54 +51 15 30.5           SNIa 2 0
90 AT 2018lwr SN* 17 33 42.32 +52 37 19.3           SNIbc 2 0
91 AT 2018bhu SN? 17 38 00.30 +35 05 03.7           ~ 1 0
92 AT 2018lxx SN* 17 38 13.13 +44 16 07.0           SNIIn 2 0
93 AT 2018lzl SN* 17 40 10.83 +58 47 24.3           SNIbc 2 0
94 SN 2018arc SN* 17 42 16.200 +50 29 19.51           SNII 2 0
95 AT 2018bcz SN* 17 47 56.6534 +34 55 57.462           SNIa 2 0
96 AT 2018lzk SN* 17 49 12.73 +62 08 41.0           SNIa 2 0
97 SN 2018lxz SN* 17 53 51.595 +70 47 45.24           SNIa 2 0
98 AT 2018lyc SN* 17 59 30.15 +49 53 19.5           SNIa 2 0
99 AT 2018lyb SN* 18 00 07.70 +34 40 11.8           SNIIP 2 0
100 AT 2018cjm SN? 18 04 11.85 +59 49 03.3           ~ 1 0
101 AT 2018lya SN* 18 16 46.63 +59 26 25.3           SNIIP 2 0
102 AT 2018lzm SN* 18 17 52.63 +62 37 37.8           SNIa 2 0
103 SN 2018efd SN* 18 19 59.67 +51 47 47.3           SNIIb 3 0
104 AT 2018lyd SN* 18 23 10.68 +48 18 36.7           SNIbc 2 0
105 SN 2018hpq SN* 18 28 41.27 +75 48 47.4           SNIc 8 0
106 SN 2018eul SN* 18 30 42.7549 +54 38 04.119           SNIa 5 0

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