REVIEW 3 major objections 5 minor 1 cited by
A study on late time UV-emission in core collapse supernovae and the implications for the peculiar transient AT2018cow
T0 review · 3 major / 5 minor · reviewed 2026-08-12 · deepseek-v4-flash
Pith's one-line read This paper concludes that the late-time ultraviolet emission of the peculiar transient AT2018cow is not powered by supernova ejecta interacting with circumstellar material, and is more likely radiation from the inner engine of the…
desk verdict A careful new census of late-time UV emission in CCSNe, with a conclusion about AT2018cow that holds only if you accept the single-blackbody radius argument. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The load-bearing object is a comparative census: 51 nearby core-collapse supernovae observed in one ultraviolet filter (F275W) between 2 and 5 years after discovery, with positions tied to Gaia/Pan-STARRS astrometry, point-source detections confirmed by PSF photometry, and magnitude upper limits from an artificial star experiment. The decisive comparison is absolute UV magnitude versus time since discovery, with AT2018cow's late-time light curve and a reference interacting-supernova UV model overlaid; this is what shows that AT2018cow is bracketed by the two detections yet brighter than most nearby upper limits. The second mechanism is the photospheric-radius argument: AT2018cow's emission is a blackbody with radius about 40 solar radii (measured in the authors' earlier work), and any interacting core-collapse supernova that is a blackbody at these epochs would have its photosphere embedded in circumstellar material at a much larger radius, ruling out interaction as the driver.
What would settle it
A direct test would be a late-time ultraviolet spectrum of AT2018cow: narrow or intermediate-width emission lines from shocked circumstellar gas would contradict the no-interaction conclusion, as would resolving an emission region larger than about 40 solar radii in size.
Extended reading notes
Core claim
Out of 51 nearby core-collapse supernovae (z<0.065) imaged with HST/WFC3 F275W within 2-5 years of discovery, the authors find a likely point source at the supernova position in only two: ASASSN-17qp and ATLAS17lsn, both of which had already been identified as interacting supernovae. In absolute UV magnitude, AT2018cow sits between these two detections, so a late-time UV detection by itself is not evidence against a supernova nature. But when the sample is restricted to supernovae closer than AT2018cow, the transient is brighter than the upper limits on most of them, and its blackbody photospheric radius of roughly 40 solar radii is orders of magnitude smaller than the photosphere an interacting core-collapse supernova would have in its circumstellar medium. The paper's conclusion is that AT2018cow's late-time UV emission was not driven by interaction; instead, we are likely seeing the inner region of the explosion, perhaps a long-lived accretion disk, a scenario naturally expected in tidal disruption models and less straightforward in supernova scenarios.
Load-bearing premise
The conclusion that interaction cannot explain AT2018cow assumes that its late-time ultraviolet emission is a single blackbody photosphere of about 40 solar radii, and that any interacting core-collapse supernova would have a photosphere embedded in its circumstellar material that is much larger than this.
Editorial extensions
If this is right
- Late-time ultraviolet emission between 2 and 5 years after explosion is rare among core-collapse supernovae: only 2 of 51 show a likely point source, and both are known interacting events, so such detections are a practical marker for ongoing ejecta-CSM interaction.
- AT2018cow's late-time UV brightness is bracketed by the two interacting-supernova detections, so a persistent UV source alone does not argue against a supernova nature.
- Among core-collapse supernovae closer than AT2018cow, 12 of 17 would have been detectable if they were as bright as AT2018cow, making the transient unusually bright for a supernova at that distance.
- Given the roughly 40-solar-radius photosphere, an interacting-supernova explanation would require a far larger photosphere in circumstellar material, so the ultraviolet emission is more plausibly powered by the inner engine, such as a long-lived accretion disk.
- If this conclusion holds, AT2018cow's late-time behavior favors tidal-disruption-like models with a persistent accretion disk over standard or interacting supernova models.
Reading between the lines
- If the engine interpretation is correct, other luminous fast blue optical transients should show similar late-time ultraviolet persistence; a targeted UV survey of LFBOTs at 2-5 years would test this prediction.
- The radius argument relies on the emission being a single blackbody; if future observations reveal a non-thermal component (for example from shocks or a jet), the case against interaction would need revisiting.
- The same snapshot-and-artificial-star approach could be extended to larger transient samples with upcoming wide-field ultraviolet surveys to map what fraction of core-collapse supernovae show late-time UV excess and to separate interacting from engine-powered events.
- A distinctive prediction of the accretion-disk scenario is a slowly declining, possibly variable UV source; interaction-powered emission, by contrast, would be expected to steepen as the shock decelerates through the circumstellar medium.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper uses HST/WFC3 F275W snapshot images of 51 nearby (z<0.065) core-collapse supernovae obtained 2–5 years after discovery to search for late-time UV emission. The authors perform Gaia/Pan-STARRS-based astrometric recalibration, DOLPHOT PSF photometry, artificial-star completeness experiments, and chance-alignment estimates. They find two point-source detections, ASASSN-17qp and ATLAS17lsn, both previously identified as interacting SNe, and place upper limits on the remaining 49 objects. Comparing the absolute UV magnitudes with AT2018cow, the authors argue that AT2018cow is not atypical among interacting SNe, but that it is brighter than most upper limits in a 17-SN subsample closer than AT2018cow. Combined with a reported late-time photospheric radius of about 40 solar radii (Inkenhaag et al. 2023), they conclude that AT2018cow's late-time UV emission was not driven by interaction and may instead trace the inner engine, possibly a long-lived accretion disk.
Significance. If the conclusion holds, the paper provides an important empirical constraint on the nature of AT2018cow and LFBOTs more generally, favoring engine-powered, non-interaction channels. The observational work is careful: the astrometric alignment, artificial-star limits, and synthetic photometry from archival spectra of SN2010jl and SN1993J are all thoughtfully executed, and the resulting sample of late-time UV upper limits for CCSNe is a genuinely useful resource. The two detections are consistent with independent classifications of both objects as interacting SNe, which strengthens confidence in the methodology. The main risk is not in the measurements but in the interpretive step that excludes interaction for AT2018cow, which depends on an unverified single-blackbody assumption.
major comments (3)
- [Section 4.4] The interaction-exclusion conclusion rests on the premise, imported from Inkenhaag et al. (2023), that AT2018cow's late-time UV emission is a single blackbody with photospheric radius about 40 solar radii. The text itself qualifies this with 'if it is a BB at these epochs', but no test of the single-blackbody assumption is presented here. If the late-time UV is non-thermal, a two-component SED, or emission from a compact shocked region embedded in a larger CSM interaction, a small apparent blackbody radius would not exclude an interaction-powered origin. Because this premise is load-bearing for the central conclusion, the manuscript should either demonstrate the blackbody/multi-component interpretation with the available photometry or spectra, or soften the conclusion to explicitly state that it applies only if the emission is a single blackbody photosphere.
- [Section 4.4] The numerical claim supporting the brightness argument is internally inconsistent. The paper states that only 5 out of 17 CCSNe in the closer subsample have an absolute-magnitude limit brighter than AT2018cow and the remaining 12 have a fainter limit, but then concludes that 'SNe as bright as AT2018cow would have been detected in 75 percent of the images'. With one image per SN, 5/17 is approximately 29 percent, not 75 percent; if the intended statement is that 12 of 17 limits are bright enough, the fraction is approximately 71 percent, which still does not equal 75 percent and contradicts the preceding sentence. Since the 75 percent figure is repeated in the abstract and conclusions, this needs to be corrected and the statistical argument re-stated precisely.
- [Section 4.4] Even after correcting the percentage, the brightness comparison alone has limited discriminating power for the interaction hypothesis. The detected interacting SN ATLAS17lsn is about 3 mag brighter than AT2018cow and ASASSN-17qp about 3 mag fainter, a spread that brackets AT2018cow; the Dessart et al. (2023) model comparison is explicitly acknowledged by the authors as not allowing firm conclusions. Thus the argument against interaction reduces essentially to the radius premise raised in the first major comment. The paper should state this dependence explicitly rather than presenting brightness and radius as two independent strands of evidence.
minor comments (5)
- [Abstract and Section 3] The abstract says 'for two CCSNe we detect a point source', but for ASASSN-17qp the source centroid is at 3.2 sigma outside the 3 sigma uncertainty region and is only associated after an additional relative-astrometry step; consider describing it as a 'possible' detection in the abstract.
- [Table 1] The caption and footnotes should explicitly state that the 'Brightness' column entries with '>' denote 95 percent completeness upper limits from the artificial-star experiment of Section 2.6, and that 'sigma_total' is the quadratic sum in Eq. (1).
- [Section 4.3] There is a typo: 'SN1993C' in the discussion of the Dessart et al. (2023) model should read 'SN1993J'.
- [Figure 2] The figure caption says 'the black line represent' and should be 'represents'; it would also help to state explicitly whether the arrows are 95 percent upper limits or some other limiting magnitude.
- [Section 2.6] The artificial-star experiment uses one PSF model constructed from SN2017ffq for all images; the paper states that subtraction tests on one random image showed no residuals, but a short statement on how the PSF model was checked across the full range of positions and dither patterns would strengthen the reproducibility of the limits.
Assumptions & free parameters
assumptions (4)
- domain assumption Detection of a CCSN in the UV at late times implies an additional process beyond normal cooling, such as ejecta-CSM interaction or a view into the central engine.
- domain assumption AT2018cow's late-time UV emission is a blackbody with radius about 40 solar radii at 713 and 1474 days (Inkenhaag et al. 2023).
- domain assumption For any CCSN with CSM interaction, if the emission is a blackbody at these epochs, the photosphere lies in the CSM and has radius larger than 40 solar radii.
- domain assumption Artificial star experiments and the assumption of negligible host-galaxy extinction make the upper limits reliable enough to conclude that AT2018cow-like sources would have been detected in 75 percent of closer images.
Cite this review
Pith. "Pith review of A study on late time UV-emission in core collapse supernovae and the implications for the peculiar transient AT2018cow." pith.science (2026). https://pith.science/paper/HNG6DNQR
@misc{pith2026241109690,
author = {Pith},
title = {Pith review of: A study on late time UV-emission in core collapse supernovae and the implications for the peculiar transient AT2018cow},
year = {2026},
howpublished = {\url{https://pith.science/paper/HNG6DNQR}},
note = {Machine review of arXiv:2411.09690}
}
read the original abstract
Over time, core-collapse supernova (CCSN) spectra become redder due to dust formation and cooling of the SN ejecta. A UV detection of a CCSN at late times thus indicates an additional physical process such as interaction between the SN ejecta and the circumstellar material, or viewing down to the central engine of the explosion. Both these models have been proposed to explain the peculiar transient AT2018cow, a luminous fast blue optical transient that has been detected in the UV 2-4 years after the event with only marginal fading over this time period. To identify if the late-time UV detection of AT2018cow could indicate that it is a CCSN, we investigate if CCSNe are detected in the UV between 2-5 years after the explosion. We use a sample of 51 nearby (z<0.065) CCSNe observed with the Hubble Space Telescope within 2-5 years of discovery. We measure their brightness, or determine an upper limit on the emission through an artificial star experiment if there is no detection. For two CCSNe we detect 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 and are thus likely related to the SNe. Comparing the absolute UV magnitude of AT2018cow 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 to CCSNe closer than AT2018cow, we see that it is brighter than the upper limits on most non-detections. Combined with a very small late time photospheric radius of AT2018cow, this leads us to conclude that AT2018cow's late-time UV detection was not driven by interaction. It suggests instead that we are possibly viewing the inner region of the explosion. Such properties are naturally expected in tidal disruption models and are less straightforward in supernova scenarios.
Figures
Forward citations
Cited by 1 Pith paper
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Implications of the UV/optical Plateau of AT2018cow
A wind-and-irradiation disk model fits the AT2018cow UV plateau with accretor masses from 1.4 to ~100 solar masses, removing the need for a >200 solar-mass black hole.
Reference graph
Works this paper leans on
-
[1]
P., González-Gaitán, S., Hamuy, M., et al
Anderson, J. P., González-Gaitán, S., Hamuy, M., et al. 2014, ApJ, 786, 67
2014
-
[2]
P., James, P
Anderson, J. P., James, P. A., Habergham, S. M., Galbany, L., & Kuncarayakti, H. 2015, PASA, 32, e019
2015
-
[3]
E., Smith, N., McCully, C., et al
Andrews, J. E., Smith, N., McCully, C., et al. 2017, MNRAS, 471, 4047
2017
-
[4]
W., et al
Arcavi, I., Hiramatsu, D., Jha, S. W., et al. 2018, The Astronomer’s Telegram, 12135, 1 Astropy Collaboration, Price-Whelan, A. M., Lim, P. L., et al. 2022, apj, 935, 167 Astropy Collaboration, Price-Whelan, A. M., Sip˝ocz, B. M., et al. 2018, AJ, 156, 123 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33
2018
-
[5]
2016, extinction v0.3.0
Barbary, K. 2016, extinction v0.3.0
2016
-
[6]
1979, A&A, 72, 287
Barbon, R., Ciatti, F., & Rosino, L. 1979, A&A, 72, 287
1979
-
[7]
C., Kulkarni, S
Bellm, E. C., Kulkarni, S. R., Graham, M. J., et al. 2019, PASP, 131, 018002
2019
-
[8]
2010, Central Bureau Electronic Tele- grams, 2536, 1
Benetti, S., Bufano, F., Vinko, J., et al. 2010, Central Bureau Electronic Tele- grams, 2536, 1
2010
Show all 153 references
-
[9]
& Arnouts, S
Bertin, E. & Arnouts, S. 1996, A&AS, 117, 393
1996
-
[10]
D., et al
Blagorodnova, N., Fremling, C., Neill, J. D., et al. 2018, The Astronomer’s Tele- gram, 11493, 1
2018
-
[11]
2016, The Astronomer’s Telegram, 8949, 1
Blanchard, P., Nicholl, M., Berger, E., Fong, W., & Chornock, R. 2016, The Astronomer’s Telegram, 8949, 1
2016
-
[12]
2016, in Ground-based and Airborne Telescopes VI, ed
Bloemen, S., Groot, P., Woudt, P., et al. 2016, in Ground-based and Airborne Telescopes VI, ed. H. J. Hall, R. Gilmozzi, & H. K. Marshall, V ol. 9906, International Society for Optics and Photonics (SPIE), 990664
2016
-
[13]
J., Elias-Rosa, N., Fraser, M., Van Dyk, S
Brennan, S. J., Elias-Rosa, N., Fraser, M., Van Dyk, S. D., & Lyman, J. D. 2022, A&A, 664, L18
2022
-
[14]
J., Schulze, S., Lunnan, R., et al
Brennan, S. J., Schulze, S., Lunnan, R., et al. 2024, A&A, 690, A259
2024
-
[15]
2012, MNRAS, 427, 127
Bressan, A., Marigo, P., Girardi, L., et al. 2012, MNRAS, 427, 127
2012
-
[16]
Brown, J. S. & Foley, R. J. 2018, The Astronomer’s Telegram, 12279, 1
2018
-
[17]
J., Holland, S
Brown, P. J., Holland, S. T., Immler, S., et al. 2009, AJ, 137, 4517
2009
-
[18]
R., et al
Castro-Segura, N., Pursiainen, M., Angus, C. R., et al. 2018, The Astronomer’s Telegram, 12276, 1
2018
-
[19]
2015, MNRAS, 452, 1068
Chen, Y ., Bressan, A., Girardi, L., et al. 2015, MNRAS, 452, 1068
2015
-
[20]
2014, MNRAS, 444, 2525
Chen, Y ., Girardi, L., Bressan, A., et al. 2014, MNRAS, 444, 2525
2014
-
[21]
Chevalier, R. A. & Fransson, C. 1994, ApJ, 420, 268
1994
-
[22]
O., Dale, D
Cook, D. O., Dale, D. A., Lee, J. C., et al. 2016, MNRAS, 462, 3766
2016
-
[23]
A., Rojas-Bravo, C., Xhakaj, E., et al
Coulter, D. A., Rojas-Bravo, C., Xhakaj, E., et al. 2017, The Astronomer’s Tele- gram, 10593, 1
2017
-
[24]
Crowther, P. A. 2007, ARA&A, 45, 177
2007
-
[25]
2024, arXiv e-prints, arXiv:2405.04259
Dessart, L. 2024, arXiv e-prints, arXiv:2405.04259
2024 arXiv
-
[26]
Dessart, L., Audit, E., & Hillier, D. J. 2015, MNRAS, 449, 4304
2015
-
[27]
P., Kuncarayakti, H., Fox, O
Dessart, L., Gutiérrez, C. P., Kuncarayakti, H., Fox, O. D., & Filippenko, A. V . 2023, A&A, 675, A33
2023
-
[28]
& Hillier, D
Dessart, L. & Hillier, D. J. 2022, A&A, 660, L9
2022
-
[29]
2016, The Astronomer’s Tele- gram, 9660, 1
Dimitriadis, G., Pursiainen, M., Smith, M., et al. 2016, The Astronomer’s Tele- gram, 9660, 1
2016
-
[30]
Doggett, J. B. & Branch, D. 1985, AJ, 90, 2303
1985
-
[31]
Dolphin, A. E. 2000, PASP, 112, 1383
2000
-
[32]
Dong, S., Bersier, D., & Prieto, J. L. 2017, Transient Name Server Classification Report, 2017-1103, 1
2017
-
[33]
2024, ApJ, 974, 316
Dong, Y ., Valenti, S., Ashall, C., et al. 2024, ApJ, 974, 316
2024
-
[34]
J., Djorgovski, S
Drake, A. J., Djorgovski, S. G., Mahabal, A., et al. 2009, ApJ, 696, 870
2009
-
[35]
W., Gray, N., Berry, D
Draper, P. W., Gray, N., Berry, D. S., & Taylor, M. 2014, GAIA: Graphical As- tronomy and Image Analysis Tool, Astrophysics Source Code Library, record ascl:1403.024
2014
-
[36]
2018, The Astronomer’s Telegram, 12021, 1
Dugas, A., Fremling, C., Sharma, Y ., et al. 2018, The Astronomer’s Telegram, 12021, 1
2018
-
[37]
G., Fraser, M., et al
Eappachen, D., Jonker, P. G., Fraser, M., et al. 2022, MNRAS, 514, 302
2022
-
[38]
J., Izzard, R
Eldridge, J. J., Izzard, R. G., & Tout, C. A. 2008, MNRAS, 384, 1109
2008
-
[39]
H., Matthews, K., Neugebauer, G., & Persson, S
Elias, J. H., Matthews, K., Neugebauer, G., & Persson, S. E. 1985, ApJ, 296, 379
1985
-
[40]
2024, A&A, 685, A58
Ercolino, A., Jin, H., Langer, N., & Dessart, L. 2024, A&A, 685, A58
2024
-
[41]
2016, The Astronomer’s Telegram, 9237, 1
Falco, E., Calkins, M., Challis, P., et al. 2016, The Astronomer’s Telegram, 9237, 1
2016
-
[42]
Fassia, A., Meikle, W. P. S., Chugai, N., et al. 2001, MNRAS, 325, 907
2001
-
[43]
Fox, O. D. & Smith, N. 2019, MNRAS, 488, 3772
2019
-
[44]
1984, A&A, 133, 264
Fransson, C. 1984, A&A, 133, 264
1984
-
[45]
M., Chevalier, R
Fransson, C., Challis, P. M., Chevalier, R. A., et al. 2005, ApJ, 622, 991
2005
-
[46]
J., et al
Fransson, C., Ergon, M., Challis, P. J., et al. 2014, ApJ, 797, 118
2014
-
[47]
2016, Transient Name Server Classification Report, 2016-490, 1
Fraser, M., Reynolds, T., Inserra, C., & Yaron, O. 2016, Transient Name Server Classification Report, 2016-490, 1
2016
-
[48]
D., Brennan, S
Fraser, M., Stritzinger, M. D., Brennan, S. J., et al. 2021, arXiv e-prints, arXiv:2108.07278
2021 arXiv
-
[49]
2016, The Astronomer’s Telegram, 8498, 1
Frohmaier, C., Dimitriadis, G., Firth, R., et al. 2016, The Astronomer’s Telegram, 8498, 1
2016
-
[50]
2012, Science, 337, 927
Gal-Yam, A. 2012, Science, 337, 927
2012
-
[51]
2022, Nature, 601, 201
Gal-Yam, A., Bruch, R., Schulze, S., et al. 2022, Nature, 601, 201
2022
-
[52]
M., Brasseur, C
Ginsburg, A., Sip˝ocz, B. M., Brasseur, C. E., et al. 2019, AJ, 157, 98
2019
-
[53]
P., Cutter, R., Steeghs, D., et al
Gompertz, B. P., Cutter, R., Steeghs, D., et al. 2020, MNRAS, 497, 726
2020
-
[54]
P., Cartier, R., Smith, M., et al
Gutierrez, C. P., Cartier, R., Smith, M., et al. 2017c, The Astronomer’s Telegram, 10338, 1 Gutiérrez, C. P., Pastorello, A., Jerkstrand, A., et al. 2020, MNRAS, 499, 974
2020
-
[55]
R., Millman, K
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357
2020
-
[56]
A., Moriya, T
Hiramatsu, D., Howell, D. A., Moriya, T. J., et al. 2021, ApJ, 913, 55
2021
-
[57]
Holoien, T. W. S., Brown, J. S., Vallely, P. J., et al. 2019, MNRAS, 484, 1899
2019
-
[58]
2017, The Astronomer’s Telegram, 10676, 1 Article number, page 11 of 15 A&A proofs: manuscript no
Homan, D., Lyman, J., Galbany, L., et al. 2017, The Astronomer’s Telegram, 10676, 1 Article number, page 11 of 15 A&A proofs: manuscript no. main
2017
-
[59]
A., Arcavi, I., Mccully, C., & Valenti, S
Hosseinzadeh, G., Howell, D. A., Arcavi, I., Mccully, C., & Valenti, S. 2016, Transient Name Server Classification Report, 2016-785, 1
2016
-
[60]
Hunter, J. D. 2007, Computing in Science and Engineering, 9, 90
2007
-
[61]
G., Levan, A
Inkenhaag, A., Jonker, P. G., Levan, A. J., et al. 2023, MNRAS, 525, 4042
2023
-
[62]
2019, Nature Astronomy, 3, 697 Ivezi´c, Ž., Kahn, S
Inserra, C. 2019, Nature Astronomy, 3, 697 Ivezi´c, Ž., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111
2019
-
[63]
E., Prieto, J
Jencson, J. E., Prieto, J. L., Kochanek, C. S., et al. 2016, MNRAS, 456, 2622
2016
-
[64]
M., Kulkarni, S
Kasliwal, M. M., Kulkarni, S. R., Gal-Yam, A., et al. 2012, ApJ, 755, 161
2012
-
[65]
2017, Transient Name Server Classification Report, 2017-1458, 1
Kawabata, M. 2017, Transient Name Server Classification Report, 2017-1458, 1
2017
-
[66]
G., Hodgkin, S
Kostrzewa-Rutkowska, Z., Jonker, P. G., Hodgkin, S. T., et al. 2018, MNRAS, 481, 307
2018
-
[67]
M., Cannizzaro, G., et al
Kostrzewa-Rutkowska, Z., Lopez, K. M., Cannizzaro, G., et al. 2017, The As- tronomer’s Telegram, 11024, 1
2017
-
[68]
Kuin, N. P. M., Wu, K., Oates, S., et al. 2019, MNRAS, 487, 2505
2019
-
[69]
2019, MNRAS, 488, 3089
Kumar, B., Eswaraiah, C., Singh, A., et al. 2019, MNRAS, 488, 3089
2019
-
[70]
P., Galbany, L., et al
Kuncarayakti, H., Anderson, J. P., Galbany, L., et al. 2018, A&A, 613, A35
2018
-
[71]
2020, ApJ, 903, 66
Leung, S.-C., Blinnikov, S., Nomoto, K., et al. 2020, ApJ, 903, 66
2020
-
[72]
2011, MNRAS, 412, 1441
Li, W., Leaman, J., Chornock, R., et al. 2011, MNRAS, 412, 1441
2011
-
[73]
2018, ApJ, 868, L24
Liu, L.-D., Zhang, B., Wang, L.-J., & Dai, Z.-G. 2018, ApJ, 868, L24
2018
-
[74]
D., Galbany, L., Sánchez, S
Lyman, J. D., Galbany, L., Sánchez, S. F., et al. 2020, MNRAS, 495, 992
2020
-
[75]
2016, The Astronomer’s Telegram, 8963, 1
Magee, M., Bar, I., Leloudas, G., et al. 2016, The Astronomer’s Telegram, 8963, 1
2016
-
[76]
A., Schlafly, E
Magnier, E. A., Schlafly, E. F., Finkbeiner, D. P., et al. 2020, ApJS, 251, 6
2020
-
[77]
2017, in Handbook of Supernovae, ed
Maguire, K. 2017, in Handbook of Supernovae, ed. A. W. Alsabti & P. Murdin, 293
2017
-
[78]
D., Chornock, R., et al
Margutti, R., Metzger, B. D., Chornock, R., et al. 2019, ApJ, 872, 18
2019
-
[79]
Marigo, P., Bressan, A., Nanni, A., Girardi, L., & Pumo, M. L. 2013, MNRAS, 434, 488
2013
-
[80]
C., Smith, N., Williams, G
Mauerhan, J. C., Smith, N., Williams, G. G., et al. 2023, arXiv e-prints, arXiv:2304.12368
2023 arXiv
-
[81]
McKinney, W. et al. 2010, in Proceedings of the 9th Python in Science Confer- ence, V ol. 445, Austin, TX, 51–56
2010
-
[82]
Metzger, B. D. 2022, ApJ, 932, 84
2022
-
[83]
1941, PASP, 53, 224
Minkowski, R. 1941, PASP, 53, 224
1941
-
[84]
Q., Bianco, F
Modjaz, M., Liu, Y . Q., Bianco, F. B., & Graur, O. 2016, ApJ, 832, 108
2016
-
[85]
2020, ApJ, 888, L24
Mohan, P., An, T., & Yang, J. 2020, ApJ, 888, L24
2020
-
[86]
Monard, L. A. G., Morales Garo ffolo, A., Elias-Rosa, N., et al. 2013, Central Bureau Electronic Telegrams, 3392, 1
2013
-
[87]
2023, A&A, 669, A51
Moran, S., Fraser, M., Kotak, R., et al. 2023, A&A, 669, A51
2023
-
[88]
2017, The Astronomer’s Tele- gram, 10240, 1
Morrell, N., Shappee, B., Drout, M., & Dong, S. 2017, The Astronomer’s Tele- gram, 10240, 1
2017
-
[89]
D., Holoien, T
Neumann, K. D., Holoien, T. W. S., Kochanek, C. S., et al. 2023, MNRAS, 520, 4356
2023
-
[90]
& Puckett, T
Newton, J. & Puckett, T. 2010, Central Bureau Electronic Telegrams, 2532, 1
2010
-
[91]
K., & Yokoi, K
Nomoto, K., Thielemann, F. K., & Yokoi, K. 1984, ApJ, 286, 644
1984
-
[92]
2017, The Astronomer’s Telegram, 11063, 1
Ochner, P., Benetti, S., Cappellaro, E., Tomasella, L., & Turatto, M. 2017, The Astronomer’s Telegram, 11063, 1
2017
-
[93]
O., Cameron, P
Ofek, E. O., Cameron, P. B., Kasliwal, M. M., et al. 2007, ApJ, 659, L13
2007
-
[94]
2017, The As- tronomer’s Telegram, 10964, 1
Onori, F., Cannizzaro, G., Kostrzewa-Rutkowska, Z., et al. 2017, The As- tronomer’s Telegram, 10964, 1
2017
-
[95]
2018, The Astronomer’s Telegram, 11916, 1
Onori, F., Stein, R., Cannizzaro, G., et al. 2018, The Astronomer’s Telegram, 11916, 1
2018
-
[96]
2020, MNRAS, 498, 3283
Pastorelli, G., Marigo, P., Girardi, L., et al. 2020, MNRAS, 498, 3283
2020
-
[97]
2019, MNRAS, 485, 5666
Pastorelli, G., Marigo, P., Girardi, L., et al. 2019, MNRAS, 485, 5666
2019
-
[98]
J., Mattila, S., et al
Pastorello, A., Smartt, S. J., Mattila, S., et al. 2007, Nature, 447, 829
2007
-
[99]
A., Vinkó, J., et al
Pellegrino, C., Howell, D. A., Vinkó, J., et al. 2022, ApJ, 926, 125
2022
-
[100]
A., Mazzali, P
Perley, D. A., Mazzali, P. A., Yan, L., et al. 2019, MNRAS, 484, 1031
2019
-
[101]
A., Sollerman, J., Schulze, S., et al
Perley, D. A., Sollerman, J., Schulze, S., et al. 2022, ApJ, 927, 180
2022
-
[102]
2017, The Astronomer’s Telegram, 10454, 1 Planck Collaboration, Ade, P
Pignata, G., Wang, L., Galbany, L., et al. 2017, The Astronomer’s Telegram, 10454, 1 Planck Collaboration, Ade, P. A. R., Aghanim, N., et al. 2016, A&A, 594, A13
2017
-
[103]
C., & Hsu, J
Podsiadlowski, P., Joss, P. C., & Hsu, J. J. L. 1992, ApJ, 391, 246
1992
-
[104]
Prieto, J. L. & Shappee, B. J. 2017, Transient Name Server Classification Report, 2017-259, 1
2017
-
[105]
A., Roming, P
Pritchard, T. A., Roming, P. W. A., Brown, P. J., Bayless, A. J., & Frey, L. H. 2014, ApJ, 787, 157
2014
-
[106]
2006, Central Bureau Electronic Telegrams, 644, 1
Quimby, R. 2006, Central Bureau Electronic Telegrams, 644, 1
2006
-
[107]
M., Kulkarni, S
Quimby, R. M., Kulkarni, S. R., Kasliwal, M. M., et al. 2011, Nature, 474, 487
2011
-
[108]
2016, ApJ, 822, 73
Rosenfield, P., Marigo, P., Girardi, L., et al. 2016, ApJ, 822, 73
2016
-
[109]
K., Anupama, G
Sahu, D. K., Anupama, G. C., Chakradhari, N. K., et al. 2018, MNRAS, 475, 2591
2018
-
[110]
E., Soderberg, A
Sanders, N. E., Soderberg, A. M., Gezari, S., et al. 2015, ApJ, 799, 208
2015
-
[111]
2022, A&A, 658, A188
Santoro, F., Kreckel, K., Belfiore, F., et al. 2022, A&A, 658, A188
2022
-
[112]
Schlafly, E. F. & Finkbeiner, D. P. 2011, ApJ, 737, 103
2011
-
[113]
J., Finkbeiner, D
Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525
1998
-
[114]
Schlegel, E. M. 1990, MNRAS, 244, 269
1990
-
[115]
2024, A&A, 686, A129
Sfaradi, I., Horesh, A., Sollerman, J., et al. 2024, A&A, 686, A129
2024
-
[116]
J., Prieto, J
Shappee, B. J., Prieto, J. L., Grupe, D., et al. 2014, ApJ, 788, 48
2014
-
[117]
R., Coulter, D
Siebert, M. R., Coulter, D. A., Kilpatrick, C. D., et al. 2017, The Astronomer’s Telegram, 10582, 1
2017
-
[118]
Smartt, S. J. 2009, ARA&A, 47, 63
2009
-
[119]
2017, Transient Name Server Classification Report, 2017-27, 1
Smith, K., Cikota, A., Magee, M., Inserra, C., & Yaron, O. 2017, Transient Name Server Classification Report, 2017-27, 1
2017
-
[120]
2018, The Astronomer’s Telegram, 11294, 1
Smith, K., Palmerio, J., O’Neill, D., et al. 2018, The Astronomer’s Telegram, 11294, 1
2018
-
[121]
& Andrews, J
Smith, N. & Andrews, J. E. 2020, MNRAS, 499, 3544
2020
-
[122]
& Arnett, W
Smith, N. & Arnett, W. D. 2014, ApJ, 785, 82
2014
-
[123]
M., Filippenko, A
Smith, N., Chornock, R., Silverman, J. M., Filippenko, A. V ., & Foley, R. J. 2010, ApJ, 709, 856
2010
-
[124]
V ., & Chornock, R
Smith, N., Li, W., Filippenko, A. V ., & Chornock, R. 2011, MNRAS, 412, 1522
2011
-
[125]
J., et al
Smith, N., Li, W., Foley, R. J., et al. 2007, ApJ, 666, 1116
2007
-
[126]
2019, A&A, 621, A30
Sollerman, J., Taddia, F., Arcavi, I., et al. 2019, A&A, 621, A30
2019
-
[127]
2017, The Astronomer’s Tele- gram, 10594, 1
Somero, A., Kuncarayakti, H., Mattila, S., et al. 2017, The Astronomer’s Tele- gram, 10594, 1
2017
-
[128]
K., Ackley, K., et al
Steeghs, D., Galloway, D. K., Ackley, K., et al. 2022, MNRAS, 511, 2405
2022
-
[129]
L., Stanek, K
Stoll, R., Prieto, J. L., Stanek, K. Z., et al. 2011, ApJ, 730, 34
2011
-
[130]
D., Fraser, M., Hummelmose, N
Stritzinger, M. D., Fraser, M., Hummelmose, N. N., et al. 2017, The As- tronomer’s Telegram, 10672, 1
2017
-
[131]
R., Crowther, P
Sun, N.-C., Maund, J. R., Crowther, P. A., & Liu, L.-D. 2022, MNRAS, 512, L66
2022
-
[132]
2017, The Astronomer’s Telegram, 10012, 1
Taddia, F., Sollerman, J., Barbarino, C., et al. 2017, The Astronomer’s Telegram, 10012, 1
2017
-
[133]
2014, MNRAS, 445, 4287
Tang, J., Bressan, A., Rosenfield, P., et al. 2014, MNRAS, 445, 4287
2014
-
[134]
A., Yang, S., & Hosseinzadeh, G
Tartaglia, L., Valenti, S., Bostroem, K. A., Yang, S., & Hosseinzadeh, G. 2017, The Astronomer’s Telegram, 10603, 1 the pandas development team. 2021, pandas-dev/pandas: Pandas
2017
-
[135]
1986, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, V ol
Tody, D. 1986, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, V ol. 627, Instrumentation in astronomy VI, ed. D. L. Crawford, 733
1986
-
[136]
1993, in Astronomical Society of the Pacific Conference Series, V ol
Tody, D. 1993, in Astronomical Society of the Pacific Conference Series, V ol. 52, Astronomical Data Analysis Software and Systems II, ed. R. J. Hanisch, R. J. V . Brissenden, & J. Barnes, 173
1993
-
[137]
2018, Transient Name Server Classification Report, 2018-2072, 1
Tomasella, L. 2018, Transient Name Server Classification Report, 2018-2072, 1
2018
-
[138]
2017, The Astronomer’s Telegram, 10680, 1
Tomasella, L., Benetti, S., & Cappellaro, E. 2017, The Astronomer’s Telegram, 10680, 1
2017
-
[139]
Tonry, J. L. 2011, PASP, 123, 58
2011
-
[140]
L., Denneau, L., Heinze, A
Tonry, J. L., Denneau, L., Heinze, A. N., et al. 2018, PASP, 130, 064505
2018
-
[141]
2017, The Astronomer’s Telegram, 10769, 1 Van Dyk, S
Uddin, S., Mould, J., Zhang, J.-J., Wang, L., & Wang, X. 2017, The Astronomer’s Telegram, 10769, 1 Van Dyk, S. D., Zheng, W., Shivvers, I., et al. 2016, The Astronomer’s Telegram, 9573, 1
2017
-
[142]
S., de Koter, A., & Lamers, H
Vink, J. S., de Koter, A., & Lamers, H. J. G. L. M. 2001, A&A, 369, 574
2001
-
[143]
E., et al
Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261
2020
-
[144]
2023, ApJ, 948, 138
Wang, T., Wang, S.-Q., Gan, W.-P., & Li, L. 2023, ApJ, 948, 138
2023
-
[145]
Wheeler, J. C. & Harkness, R. P. 1986, in NATO Advanced Study Institute (ASI) Series C, V ol. 180, Galaxy Distances and Deviations from Universal Expan- sion, ed. B. F. Madore & R. B. Tully, 45–54
1986
-
[146]
E., Pinto, P
Woosley, S. E., Pinto, P. A., Martin, P. G., & Weaver, T. A. 1987, ApJ, 318, 664
1987
-
[147]
Woosley, S. E. & Weaver, T. A. 1986, ARA&A, 24, 205
1986
-
[148]
M., et al
Xhakaj, E., Rojas-Bravo, C., Foley, M. M., et al. 2017, The Astronomer’s Tele- gram, 10620, 1
2017
-
[149]
2021, ApJ, 910, 42
Xiang, D., Wang, X., Lin, W., et al. 2021, ApJ, 910, 42
2021
-
[150]
& Zhang, J.-J
Xin, Y .-X. & Zhang, J.-J. 2016, The Astronomer’s Telegram, 8540, 1
2016
-
[151]
2021, ApJ, 908, 44
Yoshida, T., Takiwaki, T., Kotake, K., et al. 2021, ApJ, 908, 44
2021
-
[152]
2017a, Transient Name Server Classification Report, 2017-515, 1
Zhang, J., Huang, F., & Wang, X. 2017a, Transient Name Server Classification Report, 2017-515, 1
2017
-
[153]
2016, The Astronomer’s Telegram, 9746, 1
Zhang, J., Xin, Y ., Xiang, D., et al. 2016, The Astronomer’s Telegram, 9746, 1
2016
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