2025A&A...693A..39I


Query : 2025A&A...693A..39I

2025A&A...693A..39I - Astronomy and Astrophysics, volume 693A39 (2025/1-1)

Study of late-time ultraviolet emission in core collapse supernovae and its implications for the peculiar transient AT2018cow.

INKENHAAG A., JONKER P.G., LEVAN A.J., FRASER M., LYMAN J.D., GALBANY L. and KUNCARAYAKTI H.

Abstract (from CDS):

Context. Over time, core-collapse supernova (CCSN) spectra become redder due to dust formation and cooling of the SN ejecta. An ultraviolet (UV) detection of a CCSN at late times will thus indicate an additional physical process, such as an interaction between the SN ejecta and the circumstellar material, or viewing down to the central engine of the explosion. Both of these models have been proposed to explain the peculiar transient AT2018cow, a luminous fast blue optical transient detected in the UV two to four years after the event, with only marginal fading over this time period.
Aims. To identify whether the late-time UV detection of AT2018cow could indicate that it is a CCSN, we investigate whether CCSNe are detectable in the UV between two and five years after the explosion. We determine how common late-time UV emission in CCSNe is and compare those CCSNe detected in the UV to the peculiar transient AT2018cow.
Methods. We used a sample of 51 nearby (z < 0.065) CCSNe observed with the Hubble Space Telescope within two to five years of discovery. We measured their brightness or determined an upper limit on the emission through an artificial star experiment in cases of no detection.
Results. For two CCSNe, we detected a point source within the uncertainty region of the SN position. Both have a low chance alignment probability with bright objects within their host galaxies. Therefore, they are likely to be related to their SNe, which are both known to be interacting SNe.
Conclusions. Comparing the absolute UV magnitude of AT2018cow at late times to the absolute UV magnitudes of the two potential SN detections, there is no evidence that a late-time UV detection of AT2018cow is atypical for interacting SNe. However, when limiting the sample to CCSNe closer than AT2018cow, we see that it is brighter than the upper limits on most CCSN non-detections. Combined with a very small late time photospheric radius of AT2018cow, this leads us to conclude that the late-time UV detection of AT2018cow was not driven by interaction. Instead, it suggests that we are possibly viewing the inner region of the explosion that is perhaps due to the long-lived presence of an accretion disc. Such properties are naturally expected in tidal disruption models and are less straightforward (though not impossible) in SN scenarios.

Abstract Copyright: © The Authors 2024

Journal keyword(s): stars: massive - stars: individual: AT2018cow - supernovae: general - supernovae: individual: AT2018cow - ultraviolet: stars

Simbad objects: 63

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Number of rows : 63
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 APMUKS (BJ) B000116.67-114510.6 G 00 03 50.34816 -11 28 27.5016           ~ 3 0
2 SN 2017hcc SN* 00 03 50.580 -11 28 28.78           SNIIP 43 0
3 ASASSN -16hn SN* 00 04 03.854 -34 48 51.87           SNII 21 0
4 SN 2017jbj SN* 00 48 05.420 -02 47 22.40           SNIc 8 0
5 SN 2016hgm SN* 01 22 11.72 +00 57 07.7           SNII 10 0
6 SN 2016gkg SN* 01 34 14.46 -29 26 25.0           SNII 126 0
7 SN 2017fqo SN* 01 53 01.51 +12 42 46.0           SNII 4 0
8 SN 2017fbu SN* 02 11 06.940 +03 50 36.64           SNII 6 0
9 SN 2016cyx SN* 02 21 22.767 +16 33 54.56           SNIIb 10 0
10 SN 2017ggw SN* 02 30 26.88 -43 00 53.0           SNII 2 0
11 SN 2017fqk SN* 02 54 02.090 +02 58 07.72           SNIIn 7 0
12 SN 2006gy SN* 03 17 27.06 +41 24 19.5       14.20   SNIIn 372 1
13 SN 2018jfz SN* 03 20 18.70 -00 17 47.0           SNII 4 0
14 SN 2017gry SN* 03 28 07.940 -56 34 41.99           SNII 5 0
15 SN 2018aad SN* 03 58 01.498 -65 30 24.50           SNII 7 0
16 SN 2017fvr SN* 04 47 28.230 +23 58 57.83           SNIIp 3 0
17 SN 2017dhu SN* 06 15 31.93 +06 27 46.3           SNII 2 0
18 SN 2017ipa SN* 06 37 58.150 -15 22 00.59           SNII 2 0
19 SN 2018iuq SN* 07 05 53.44 +12 53 34.7           SNII 6 0
20 SN 2016jbu SN* 07 36 25.98 -69 32 55.4           SNII 45 0
21 SN 2017caw SN? 08 07 50.100 -61 46 15.60           SNII 3 0
22 SN 2018ant SN* 08 36 31.450 -11 49 40.73           SNII 4 0
23 SN 2016bse SN* 09 20 34.30 +50 41 46.8           SNIIP 134 0
24 SN 1993C SN* 09 40 23.79 +14 56 11.2   18.7 18     SNIa 16 1
25 SN 2010jl SN* 09 42 53.33 +09 29 41.8           SNIIn 350 1
26 SN 2022crv SN* 09 54 25.910 -25 42 11.16           SNIb 14 0
27 SN 1993J SN* 09 55 24.77476 +69 01 13.7026   10.8 12.0     SNIIb 1507 1
28 SN 2017mw SN* 09 57 20.97 -41 35 21.0           SNII 4 0
29 SN 2016bsb SN* 11 34 27.58 +11 41 55.0           SNII 2 0
30 SN 2013L SN* 11 45 29.55 -50 35 53.1           SNIIn 35 1
31 SN 2021adxl SN* 11 48 06.940 -12 38 41.71           SLSN-II 8 0
32 AT 2017bmi ev 11 57 56.823 -05 05 37.94           ~ 1 0
33 SN 2015bm SN* 12 08 00.10 +19 44 26.7           SNII 6 0
34 SN 2018pq SN* 12 55 31.252 -50 03 16.95           SNIIP 7 0
35 SN 2017faa SN* 13 19 03.900 -02 30 45.90           SNII 6 0
36 AT 2017dka ev 14 01 46.10 +09 29 57.4           SNII 3 0
37 SN 2018dfg SN* 14 06 34.70 -05 27 02.9           SNIIP 5 0
38 SN 2016I SN* 14 39 44.730 +23 23 43.27           SNIbn 7 0
39 SN 2017ivu SN* 15 36 32.710 +16 36 20.09           SNIc-BL 10 0
40 SN 2017eca SN* 16 04 15.70 +17 57 27.4           SNIIP 3 0
41 SN 2018cow SN* 16 16 00.254 +22 16 05.10           SNIb 305 0
42 SN 2017bif SN* 17 26 27.120 -60 32 39.73           SNII 3 0
43 SN 2018anu SN* 17 36 14.351 +18 58 56.59           SNII 4 0
44 SN 2017ffq SN* 17 40 14.500 -58 25 57.11           SNIIn 5 0
45 SN 2017fgk SN* 17 47 49.190 +16 08 05.18           Ic-BL 3 0
46 SN 2017dkb SN* 18 14 03.430 +21 52 38.70           SNIIP 3 0
47 SN 2018evy SN* 18 22 38.17 +15 41 47.6           SNIIn 6 0
48 SN 2016bmi SN* 18 34 32.19 -58 31 44.8           SNII 7 0
49 KAIT -16az ev 18 35 47.17 +22 28 30.4           SNIIb 3 0
50 SN 2017fod SN? 18 44 55.480 +27 18 25.96           SNII 2 0
51 SN 2017fwm SN* 19 12 51.95 -60 22 58.3           SNIc 3 0
52 SN 2017dch SN* 19 55 35.69 -11 38 22.7           SNIa 3 0
53 SN 2017dek SN* 20 25 44.71 -21 39 39.8           SNII 3 0
54 SN 2018eog SN* 20 28 11.96 -03 08 13.4           SNII 5 0
55 GALEXASC J202849.46-042255.5 G 20 28 49.46 -04 22 55.5           ~ 3 0
56 SN 2017ivv SN* 20 28 49.800 -04 22 57.29           SNII 24 0
57 SN 2017hxv SN* 21 44 22.940 -29 54 59.29           SNII 7 0
58 SN 2016hvu SN* 22 35 55.560 +20 19 12.58           SNII 10 0
59 SN 2017gip SN? 23 05 00.61 +28 45 42.7           SNII 2 0
60 SN 2017ffm SN* 23 18 23.020 -04 24 58.27           SNII 3 0
61 SN 2018fit SN* 23 25 16.17 +13 56 02.6           SNII 4 0
62 SN 2017eiy SN* 23 49 28.27 -30 25 04.7           SNIIb 3 0
63 SN 2017giq SN* 23 57 54.745 +28 30 12.07           SNIc 4 0

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