REVIEW 4 major objections 6 minor 116 references
A Multiwavelength Autopsy of the Interacting IIn Supernova 2020ywx: Tracing its Progenitor Mass-Loss History for 100 Years before Death
T0 review · 4 major / 6 minor · reviewed 2026-08-11 · deepseek-v4-flash
Pith's one-line read The progenitor of Type IIn supernova 2020ywx shed mass at roughly 0.01 to 0.001 solar masses per year for at least a century before exploding, and the paper argues that a binary companion, not a normal single-star wind, drove this extreme…
desk verdict A rich multiwavelength dataset and a plausible order-of-magnitude mass-loss rate, but the century-timescale claim rests on a single velocity measurement that the paper's own late-time spectra could test. 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 central machinery is the set of shock-emission formulas that convert fluxes in each waveband into a pre-explosion mass-loss rate: the adiabatic forward-shock X-ray luminosity formula $L_{\rm CS}(1\,{\rm keV}) \propto C_*^2 V_4^{3-2s} t^{3-2s}$ (Eq. 10), the H$\alpha$ luminosity relation $\dot{M} = 4 L_{\rm H\alpha} v_w / (\epsilon v_s^3)$ (Eq. 13), and the radio free-free absorption optical depth relation (Eq. 14). The load-bearing input common to all three is the CSM speed $v_w = 120$ km/s measured from the P Cygni absorption troughs, which converts the shock radius at each epoch into the duration over which the mass loss occurred. The assumed CSM density profile $\rho \propto r^{-s}$ with $s \approx 1.85$, inferred from the X-ray decline and radio modeling, ties the wavebands together and gives the non-steady, non-spherical character that motivates the binary interpretation.
What would settle it
Very long baseline interferometry (VLBI) imaging of SN 2020ywx at radio frequencies could spatially resolve the synchrotron-emitting region and directly test whether the free-free absorbing gas is internal, whether the CSM is clumpy, and whether the asymmetry inferred from the multiwavelength mass-loss rates is real; alternatively, a deep search for a surviving binary companion in late-time optical or near-infrared imaging could confirm or rule out the binary-interaction scenario.
Extended reading notes
Core claim
The paper's central claim is that SN 2020ywx's progenitor sustained extreme mass loss of roughly $10^{-2}$ to $10^{-3}$ $M_\odot$ yr$^{-1}$ for at least 100 years before core collapse, traced by a CSM expansion speed of $120 \pm 22$ km/s measured from P Cygni absorption in optical H$\alpha$ and near-infrared He I lines. Three wavelength-based estimates of the mass-loss rate (from X-ray luminosity, H$\alpha$ luminosity, and radio free-free absorption) agree to within an order of magnitude, but their time evolution differs, which the paper reads as evidence for an asymmetric or clumpy CSM. The X-ray data make SN 2020ywx one of the most X-ray luminous Type IIn supernovae ever observed, and the shallow $t^{-0.77}$ decline implies a CSM density profile $\rho \propto r^{-s}$ with $s \approx 1.85$, i.e. not a steady wind. A growing blueshift in the intermediate-width hydrogen lines and a $\sim 1000$ K near-infrared blackbody are interpreted as dust forming after the explosion in the dense shell, and the overall picture points to binary interaction as the most plausible mass-loss mechanism.
Load-bearing premise
The mass-loss rates assume the circumstellar matter is a smooth, spherical shell with a power-law density profile; if the CSM is actually clumpy or strongly asymmetric, as the paper itself argues to reconcile the X-ray and radio/optical results, then each waveband's flux-to-mass-loss conversion is model-dependent rather than a direct measurement, and the optical rate additionally relies on a fixed 10% H-alpha conversion efficiency that the paper notes is not well constrained.
Editorial extensions
If this is right
- If the mass-loss rate of $\sim 10^{-2}$–$10^{-3}$ $M_\odot$ yr$^{-1}$ held for at least 100 years, the progenitor ejected more than 1 $M_\odot$ of hydrogen-rich material before exploding, a reservoir that single-star winds cannot easily supply.
- The inferred CSM density exponent $s \approx 1.85 \neq 2$ means the mass loss was not a constant wind, so single-band measurements of SN IIn mass loss should be interpreted with non-steady density profiles in mind.
- The discrepancy between X-ray and optical/radio mass-loss rates implies that CSM asymmetry is significant; future multiwavelength studies of SNe IIn should treat single-wavelength mass-loss rates as lower or upper limits depending on viewing geometry.
- If binary interaction is the real driver, SN 2020ywx becomes a benchmark for binary mass-loss models: its sustained century-long rate and $\sim 120$ km/s wind speed are concrete constraints that such models must reproduce.
- The dust-formation evidence, from the growing blueshift and the $\sim 1000$ K blackbody, adds to the case that SNe IIn can form dust in the post-shock dense shell within a few years of explosion.
Reading between the lines
- The paper leaves implicit that its multiwavelength approach, applied to a larger sample of SNe IIn, could directly test how often the X-ray versus radio/optical mass-loss mismatch appears; a systematic study would quantify how common asymmetric CSM is among Type IIn supernovae.
- If the CSM is genuinely clumpy or asymmetric, the mass-loss rates derived from any single band may be biased by line-of-sight geometry, meaning that published rates for other SNe IIn, mostly based on one or two wavebands, may need revision when clumping is accounted for.
- A testable extension is to model the full multiwavelength evolution with a clumpy, non-spherical CSM; if a modest clumping factor reconciles the X-ray plateau with the declining radio/optical rates, the 100-year duration and total ejected mass would become more secure than the current spherical-shell estimates.
- Continued radio and X-ray monitoring could discriminate between a persistent dense clump and a more uniform outflow: if the X-ray rate holds steady while the radio rate keeps declining, the clump interpretation is favored, whereas convergence of the two rates would point toward a smoother CSM.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper presents an extensive multiwavelength dataset for the interacting Type IIn SN 2020ywx, spanning Chandra/Swift X-ray, optical and near-infrared spectroscopy and photometry, and VLA/GMRT radio observations over more than 1200 days. The authors use these data to derive pre-explosion mass-loss rates from three independent wavebands, obtaining values around 10^-2 to 10^-3 M_sun/yr, and combine the measured CSM velocity of 120 km/s with the observed shock speed to infer that this mass loss persisted for at least 100 years before explosion. They argue that the differences between the X-ray and optical/radio mass-loss evolution imply an asymmetric CSM, that a growing blueshift and a ~1000 K near-infrared blackbody indicate post-explosion dust formation, and that sustained high mass loss over a century favors binary interaction as the mass-loss mechanism.
Significance. If the central claims hold, this paper is a valuable addition to the growing sample of SNe IIn with multiwaveband mass-loss histories, and it provides one of the more detailed case studies connecting IIn progenitors to binary-driven mass loss. The strengths are substantial: the dataset is unusually complete (Chandra at four epochs, VLA/GMRT spectra at three epochs, optical/NIR spectroscopy over 1200 days), the radio and optical mass-loss rates use different physical conversions and are not trivially degenerate, the direct detection of P Cygni absorption in H-alpha gives a rare measurement of the unshocked CSM speed, and the paper makes its fitting code and data public. The dust-formation evidence from the evolving blueshift and NIR blackbody is also presented in a coherent way. However, several load-bearing quantities are derived under model assumptions whose sensitivity is not quantified, and the 100-year duration claim currently rests on a single direct CSM-velocity measurement extrapolated to much larger radii.
major comments (4)
- [Section 4.1, Eqs. (6) and (10)] The X-ray mass-loss rate is partially circular. The authors set the fitted X-ray luminosity decline exponent (-0.77) equal to the theoretical expression in Eq. (6) to constrain s ≈ 1.85, and then insert this same s into Eq. (10) to derive C* and hence the mass-loss rate. The resulting X-ray mass-loss plateau is therefore not an independent measurement of the density profile; it partly inherits the model assumption. The paper should quantify this by showing how the derived mass-loss rate and its time evolution change for, e.g., s = 2 (the canonical wind value) or for the range n = 6-12, and by reporting the joint covariance between n and s. Without this, the claimed discrepancy between the flat X-ray mass-loss rate and declining optical/radio rates cannot be cleanly attributed to CSM asymmetry.
- [Section 4.2.1 and Figure 19] The central 'at least 100 years' duration claim is extrapolated from a single direct CSM-velocity measurement. The only quoted absorption-trough velocity is v_abs = 120 ± 22 km/s from the MMT H-alpha spectrum at day 448 (Section 3.2, Figure 10), and the NIR He I line at day 608 is an emission FWHM, not an independent absorption measurement. At the adopted shock speed of ~4000 km/s, this directly probes CSM ejected only ~40 years before explosion. Extending this speed to the radii corresponding to the full 100-year duration assumes the CSM speed is constant over another factor ~2.5 in radius, yet Table A2 shows that high-resolution MMT spectra exist at days 1220 and 1361. I request that the authors measure (or upper-limit) the P Cygni absorption velocity in those late spectra, or explicitly state that the 100-year duration is a model-dependent extrapolation rather than a direct measurement. Because v_CSM enters linearly in every mass-loss normalization (Eqs. 13 and 14, and C* in Eq. 10), an outer CSM that is faster or slower by even a factor of two would directly change both the inferred duration and the absolute mass-loss rates. The order-of-magnitude mass-loss rate may survive, but the binary-timescale argument currently rests on an unverified extrapolation.
- [Section 4.2.1, Eq. (13)] The optical mass-loss rate is directly proportional to the assumed H-alpha conversion efficiency epsilon, fixed at 0.1. The text correctly notes that this efficiency is not well constrained and is a significant source of uncertainty, but no sensitivity test is given. Varying epsilon over the plausible range 0.03-0.3 changes the optical mass-loss rate by an order of magnitude, which is comparable to or larger than the differences between wavebands on which the asymmetry claim is based. The authors should show a sensitivity curve or at least state the allowed range of epsilon and its effect on the comparison in Figure 19.
- [Section 4.3, Eq. (14)] The radio mass-loss rate and its time evolution depend strongly on the assumed CSM electron temperature Te and on the choice of internal free-free absorption model. The authors adopt Te decreasing linearly from 10^5 K to 10^4 K, justified by CLOUDY steady-state models, but this directly drives the reported 'gradually increasing' radio mass-loss rate in the decades before explosion. If Te were held constant, the radio mass-loss evolution would be flatter. Additionally, Section 3.3 acknowledges that the best-fit internal FFA model does not reproduce the flux around 10 GHz at two epochs (Figure 12); this residual affects the fitted optical depth τ5 and hence Eq. (14). I ask the authors to quantify how much of the radio mass-loss decline is attributable to the Te(t) assumption and to give a systematic uncertainty from the model residuals, so that the radio evolution can be compared honestly with the optical and X-ray results.
minor comments (6)
- [Abstract and Section 4.2.1] The abstract states 'for at least 100 yrs pre-explosion' without the caveat that this assumes a constant CSM speed of 120 km/s over the full extrapolated radius range; given the direct measurement only reaches ~40 yr pre-explosion, the abstract should either soften the claim or explicitly flag the assumption.
- [Figure 14] The caption contains the typo 'IIn Sne' and the axis label 'Years Pre-Explosion' would benefit from an explicit statement of the assumed v_CSM and v_sh values so that the mapping from observation time to pre-explosion time is unambiguous.
- [Table A3] Several GMRT rows list the same 'Days Since Expl.' value for different calendar dates (e.g., 744 for both 2022-09-27 and 2023-09-02), which is likely a typo or a carry-over from a repeated epoch; the table should use a single consistent epoch column.
- [Section 3.2 and Figure 10] The caption says 'The spectra are normalized to the narrow features'; since the figure shows normalized flux, it should say 'normalized to the peak of the narrow component' to avoid implying the full narrow-line profile is used.
- [Section 3.1] The 6.5-7.0 keV feature is identified as ionized Fe, but the text would be clearer if it specified the likely ionic species (e.g., Fe XXV/Fe XXVI) rather than only 'ionized Fe lines'.
- [Title] The draft typeset title contains a typo, 'T racing', which should be 'Tracing' in the published version.
Circularity Check
The X-ray mass-loss 'plateau' is inherited from the fitted CSM slope s≈1.85; the other waveband rates are independent but this one partly restates its input.
-
fitted input called prediction
[Section 4.1 (Eqs. 6 and 10)]
"We set our fitted exponent equal to the exponent in the theoretical expression to constrain s and n ... We find s ≈ 1.8–1.9 ... We fix s at 1.85 ... The result is C∗ = 210 at the first X-ray epoch, suggesting a mass-loss rate of (1.3±0.7)×10−2 M⊙ yr−1 ... This mass-loss rate does not change significantly over the following epochs even when adjusting for the evolution of the shock radius and hovers around 0.01 M⊙ yr−1 throughout the evolution."
Eq. (6) gives L_X ∝ t^{−(12−7s+2ns−3n)/(n−s)}. The authors fix s≈1.85 by equating this exponent to the observed t^{−0.77} decay. Eq. (10) then has L(1 keV) ∝ C∗^2 V_4^{3−2s} t^{3−2s} = C∗^2 V_4^{−0.7} t^{−0.7} for s=1.85. Solving for C∗ from the same observed light curve therefore gives C∗ ∝ t^{−0.07}/V_4^{0.7} (with V_4 declining only weakly), i.e. a near-constant mass-loss rate by construction. The reported X-ray plateau is a restatement of the fitted decay exponent, not an independent measurement; only the normalization of the rate is set by the observed luminosity.
full rationale
The paper's optical and radio mass-loss derivations are independent: the optical rate uses the measured Hα luminosity, the adopted shock speed, and v_CSM=120 km s−1, while the radio rate uses the fitted 5 GHz free-free optical depth. Neither reduces to the X-ray fit. The central claim of a high mass-loss rate (~10−2–10−3 M⊙ yr−1) for at least 100 years is supported by those independent channels and by the measured CSM speed, so the paper is not wholly circular. However, one load-bearing piece of the multiwavelength picture—the X-ray mass-loss plateau and the statement that the star was losing mass at a near-constant rate with no pre-explosion uptick—is not an independent finding: s≈1.85 is fitted from the X-ray luminosity decay, and inserting that same s into Eq. (10) forces the inferred C∗ (and hence the mass-loss rate) to be nearly constant. This is a fitted input presented as a prediction. I find no other circular step: the self-citations to Chevalier & Fransson (2017), Dwarkadas et al. (2016), and Sarangi et al. (2018) provide standard formulae or background interpretations, and the dust-formation argument is supported by independent spectral evolution rather than by citation alone. The score of 6 reflects partial circularity: one central 'prediction' reduces by construction, while the order-of-magnitude mass-loss and long duration retain independent content.
Assumptions & free parameters
free parameters (5)
- CSM density power-law index s =
1.85
- Ejecta density power-law index n =
about 6
- H-alpha conversion efficiency epsilon =
0.1
- Radio CSM electron temperature =
10^5 K early, 10^4 K late with linear decline
- Explosion epoch =
MJD 59105, midpoint with +/-53 days
assumptions (6)
- domain assumption Established synchrotron and thermal shock emission models correctly map observed flux to shock properties and mass-loss rate.
- domain assumption CSM density is a single power law r^-s with constant s over the observed epochs.
- domain assumption Solar abundances and electron-ion equipartition in the forward shock.
- domain assumption The P Cygni absorption trough traces the unshocked CSM expansion speed.
- domain assumption The H-alpha luminosity is powered by CSM interaction and traces the shock kinetic energy.
- domain assumption The X-ray 0.2-50 keV simulated flux captures the full forward-shock luminosity.
Cite this review
Pith. "Pith review of A Multiwavelength Autopsy of the Interacting IIn Supernova 2020ywx: Tracing its Progenitor Mass-Loss History for 100 Years before Death." pith.science (2026). https://pith.science/paper/7N5OSPUM
@misc{pith2026241206914,
author = {Pith},
title = {Pith review of: A Multiwavelength Autopsy of the Interacting IIn Supernova 2020ywx: Tracing its Progenitor Mass-Loss History for 100 Years before Death},
year = {2026},
howpublished = {\url{https://pith.science/paper/7N5OSPUM}},
note = {Machine review of arXiv:2412.06914}
}
abstract
While the subclass of interacting supernovae with narrow hydrogen emission lines (SNe IIn) consists of some of the longest-lasting and brightest SNe ever discovered, their progenitors are still not well understood. Investigating SNe IIn as they emit across the electromagnetic spectrum is the most robust way to understand the progenitor evolution before the explosion. This work presents X-Ray, optical, infrared, and radio observations of the strongly interacting Type IIn SN 2020ywx covering a period $>1200$ days after discovery. Through multiwavelength modeling, we find that the progenitor of 2020ywx was losing mass at $\sim10^{-2}$--$10^{-3} \mathrm{\,M_{\odot}\,yr^{-1}}$ for at least 100 yrs pre-explosion using the circumstellar medium (CSM) speed of 120 km/s measured from our optical and NIR spectra. Despite the similar magnitude of mass loss measured in different wavelength ranges, we find discrepancies between the X-ray and optical/radio-derived mass-loss evolution, which suggest asymmetries in the CSM. Furthermore, we find evidence for dust formation due to the combination of a growing blueshift in optical emission lines and near-infrared continuum emission which we fit with blackbodies at $\sim$ 1000 K. Based on the observed elevated mass loss over more than 100 years and the configuration of the CSM inferred from the multiwavelength observations, we invoke binary interaction as the most plausible mechanism to explain the overall mass-loss evolution. SN 2020ywx is thus a case that may support the growing observational consensus that SNe IIn mass loss is explained by binary interaction.
Figures
Figures from the paper (14 more)
Reference graph
Works this paper leans on
-
[1]
2023, MNRAS, 526, 456, doi: 10.1093/mnras/stad2702
Aghakhanloo, M., Smith, N., Milne, P., et al. 2023, MNRAS, 526, 456, doi: 10.1093/mnras/stad2702
-
[2]
P., Gonz´ alez-Gait´ an, S., Hamuy, M., et al
Anderson, J. P., Gonz´ alez-Gait´ an, S., Hamuy, M., et al. 2014, ApJ, 786, 67, doi: 10.1088/0004-637X/786/1/67
-
[3]
Andrews, J. E., Clayton, G. C., Wesson, R., et al. 2011, AJ, 142, 45, doi: 10.1088/0004-6256/142/2/45
-
[4]
Angel, J. R. P., Hilliard, R. L., & Weymann, R. J. 1979, in The MMT and the Future of Ground-Based Astronomy, ed. T. C. Weekes, Vol. 385, 87
1979
- [5]
-
[6]
Arnaud, K. A. 1996, in Astronomical Society of the Pacific Conference Series, Vol. 101, Astronomical Data Analysis Software and Systems V, ed. G. H. Jacoby & J. Barnes, 17 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068 Astropy Collaboration, Price-Whelan, A. M., Sip˝ ocz, B. M., et a...
-
[7]
2024, ApJ, 964, 172, doi: 10.3847/1538-4357/ad2175
Baer-Way, R., DeGraw, A., Zheng, W., et al. 2024, ApJ, 964, 172, doi: 10.3847/1538-4357/ad2175
-
[8]
2015, HOTPANTS: High Order Transform of PSF ANd Template Subtraction, Astrophysics Source Code Library, record ascl:1504.004
Becker, A. 2015, HOTPANTS: High Order Transform of PSF ANd Template Subtraction, Astrophysics Source Code Library, record ascl:1504.004
2015
Show all 116 references
-
[9]
C., Kulkarni, S
Bellm, E. C., Kulkarni, S. R., Graham, M. J., et al. 2019, PASP, 131, 018002, doi: 10.1088/1538-3873/aaecbe 31
2019 doi
-
[10]
F., & Bartel, N
Bietenholz, M. F., & Bartel, N. 2017, ApJ, 851, 7, doi: 10.3847/1538-4357/aa960b
2017 doi
-
[11]
F., Bartel, N., Argo, M., et al
Bietenholz, M. F., Bartel, N., Argo, M., et al. 2021, ApJ, 908, 75, doi: 10.3847/1538-4357/abccd9
2021 doi
-
[12]
F., Brunthaler, A., Soderberg, A
Bietenholz, M. F., Brunthaler, A., Soderberg, A. M., et al. 2012, ApJ, 751, 125, doi: 10.1088/0004-637X/751/2/125
2012 doi
-
[13]
G., et al
Bilinski, C., Smith, N., Williams, G. G., et al. 2024, MNRAS, 529, 1104, doi: 10.1093/mnras/stae380
2024 doi
-
[14]
2022, ApJ, 939, 105, doi: 10.3847/1538-4357/ac8b14
Brethauer, D., Margutti, R., Milisavljevic, D., et al. 2022, ApJ, 939, 105, doi: 10.3847/1538-4357/ac8b14
2022 doi
-
[15]
2018, SSRv, 214, 27, doi: 10.1007/s11214-017-0461-6
Chandra, P. 2018, SSRv, 214, 27, doi: 10.1007/s11214-017-0461-6
2018 doi
-
[16]
A., Chugai, N., et al
Chandra, P., Chevalier, R. A., Chugai, N., et al. 2012, ApJ, 755, 110, doi: 10.1088/0004-637X/755/2/110
2012 doi
-
[17]
Soderberg, A. M. 2015, ApJ, 810, 32, doi: 10.1088/0004-637X/810/1/32
2015 doi
-
[18]
A., Chugai, N., Milisavljevic, D., & Fransson, C
Chandra, P., Chevalier, R. A., Chugai, N., Milisavljevic, D., & Fransson, C. 2020, ApJ, 902, 55, doi: 10.3847/1538-4357/abb460
2020 doi
-
[19]
Nayana, A. J. 2024, ApJL, 963, L4, doi: 10.3847/2041-8213/ad275d
2024 doi
-
[20]
2017, ApJ, 846, 111, doi: 10.3847/1538-4357/aa85a2
Chandra, P., & Kanekar, N. 2017, ApJ, 846, 111, doi: 10.3847/1538-4357/aa85a2
2017 doi
-
[21]
Chevalier, R. A. 1982, ApJ, 259, 302, doi: 10.1086/160167 —. 1998, ApJ, 499, 810, doi: 10.1086/305676
1982 doi
-
[23]
A., & Irwin, C
Chevalier, R. A., & Irwin, C. M. 2012, ApJL, 747, L17, doi: 10.1088/2041-8205/747/1/L17
2012 doi
-
[24]
Chugai, N. N. 1991, MNRAS, 250, 513, doi: 10.1093/mnras/250.3.513
1991 doi
-
[25]
N., & Danziger, I
Chugai, N. N., & Danziger, I. J. 1994, MNRAS, 268, 173, doi: 10.1093/mnras/268.1.173
1994 doi
-
[26]
2023, A&A, 670, A48, doi: 10.1051/0004-6361/202244867
Cold, C., & Hjorth, J. 2023, A&A, 670, A48, doi: 10.1051/0004-6361/202244867
2023 doi
-
[27]
C., Vacca, W
Cushing, M. C., Vacca, W. D., & Rayner, J. T. 2004, PASP, 116, 362, doi: 10.1086/382907
2004 doi
-
[28]
Dessart, L., & Hillier, D. J. 2022, A&A, 660, L9, doi: 10.1051/0004-6361/202243372
2022 doi
-
[30]
Bauer, F. E. 2016, MNRAS, 462, 1101, doi: 10.1093/mnras/stw1717
2016 doi
-
[31]
A., Beardmore, A
Evans, P. A., Beardmore, A. P., Page, K. L., et al. 2007, A&A, 469, 379, doi: 10.1051/0004-6361:20077530
2007 doi
-
[32]
2019, PASP, 131, 075004, doi: 10.1088/1538-3873/ab1d78
Fabricant, D., Fata, R., Epps, H., et al. 2019, PASP, 131, 075004, doi: 10.1088/1538-3873/ab1d78
2019 doi
- [33]
- [34]
-
[35]
Filippenko, A. V. 1982, PASP, 94, 715, doi: 10.1086/131052 —. 1997, ARA&A, 35, 309, doi: 10.1146/annurev.astro.35.1.309
1982 doi
-
[36]
J., Smith, N., Ganeshalingam, M., et al
Foley, R. J., Smith, N., Ganeshalingam, M., et al. 2007, ApJL, 657, L105, doi: 10.1086/513145
2007 doi
-
[37]
W., Lang, D., & Goodman, J
Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306, doi: 10.1086/670067
2013 doi
-
[38]
D., Chevalier, R
Fox, O. D., Chevalier, R. A., Skrutskie, M. F., et al. 2011, ApJ, 741, 7, doi: 10.1088/0004-637X/741/1/7
2011 doi
-
[39]
D., Silverman, J
Fox, O. D., Silverman, J. M., Filippenko, A. V., et al. 2015, MNRAS, 447, 772, doi: 10.1093/mnras/stu2435
2015 doi
-
[40]
Fransson, C., Lundqvist, P., & Chevalier, R. A. 1996, ApJ, 461, 993, doi: 10.1086/177119
1996 doi
-
[41]
J., et al
Fransson, C., Ergon, M., Challis, P. J., et al. 2014, ApJ, 797, 118, doi: 10.1088/0004-637X/797/2/118
2014 doi
-
[42]
C., Allen, G
Fruscione, A., McDowell, J. C., Allen, G. E., et al. 2006, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 6270, Observatory Operations: Strategies, Processes, and Systems, ed. D. R. Silva & R. E. Doxsey, 62701V, doi: 10.1117/12.671760
2006 doi
-
[43]
2021, Transient Name Server AstroNote, 76, 1
Gal-Yam, A., Yaron, O., Pastorello, A., et al. 2021, Transient Name Server AstroNote, 76, 1
2021
-
[44]
C., Fox, D
Gal-Yam, A., Leonard, D. C., Fox, D. B., et al. 2007, ApJ, 656, 372, doi: 10.1086/510523
2007 doi
-
[45]
2014, Nature, 511, 326, doi: 10.1038/nature13558
Gall, C., Hjorth, J., Watson, D., et al. 2014, Nature, 511, 326, doi: 10.1038/nature13558
2014 doi
- [46]
-
[47]
R., van Loon, J
Goldman, S. R., van Loon, J. T., Zijlstra, A. A., et al. 2017, MNRAS, 465, 403, doi: 10.1093/mnras/stw2708
2017 doi
-
[48]
Hartmann, D. H. 2003, ApJ, 591, 288, doi: 10.1086/375341
2003 doi
-
[49]
E., Prieto, J
Jencson, J. E., Prieto, J. L., Kochanek, C. S., et al. 2016, MNRAS, 456, 2622, doi: 10.1093/mnras/stv2795
2016 doi
-
[50]
Kale, R., & Ishwara-Chandra, C. H. 2021, Experimental Astronomy, 51, 95, doi: 10.1007/s10686-020-09677-6
2021 doi
-
[51]
2019, ApJ, 875, 17, doi: 10.3847/1538-4357/ab0d81
Kundu, E., Lundqvist, P., Sorokina, E., et al. 2019, ApJ, 875, 17, doi: 10.3847/1538-4357/ab0d81
2019 doi
-
[52]
B., & Graur, O
Liu, Y.-Q., Modjaz, M., Bianco, F. B., & Graur, O. 2016, ApJ, 827, 90, doi: 10.3847/0004-637X/827/2/90
2016 doi
-
[53]
1988, A&A, 192, 221 —
Lundqvist, P., & Fransson, C. 1988, A&A, 192, 221 —. 1991, ApJ, 380, 575, doi: 10.1086/170615 32
1988 doi
-
[54]
2013, MNRAS, 435, 329, doi: 10.1093/mnras/stt1303
Lundqvist, P., Mattila, S., Sollerman, J., et al. 2013, MNRAS, 435, 329, doi: 10.1093/mnras/stt1303
2013 doi
-
[55]
K., et al
Maeda, K., Nozawa, T., Sahu, D. K., et al. 2013, ApJ, 776, 5, doi: 10.1088/0004-637X/776/1/5
2013 doi
-
[56]
Margalit, B., Quataert, E., & Ho, A. Y. Q. 2022, ApJ, 928, 122, doi: 10.3847/1538-4357/ac53b0
2022 doi
-
[57]
2017, ApJ, 835, 140, doi: 10.3847/1538-4357/835/2/140 Mart ´ ı-Vidal, I., Bj¨ ornsson, C
Margutti, R., Kamble, A., Milisavljevic, D., et al. 2017, ApJ, 835, 140, doi: 10.3847/1538-4357/835/2/140 Mart ´ ı-Vidal, I., Bj¨ ornsson, C. I., P´ erez-Torres, M. A.,
2017 doi
-
[58]
Lundqvist, P., & Marcaide, J. M. 2024, A&A, 691, A171, doi: 10.1051/0004-6361/202450329
2024 doi
-
[59]
J., Laher, R
Masci, F. J., Laher, R. R., Rusholme, B., et al. 2019, PASP, 131, 018003, doi: 10.1088/1538-3873/aae8ac
2019 doi
-
[60]
Mattila, S., Meikle, W. P. S., Lundqvist, P., et al. 2008, MNRAS, 389, 141, doi: 10.1111/j.1365-2966.2008.13516.x
2008
-
[61]
C., Smith, N., Filippenko, A
Mauerhan, J. C., Smith, N., Filippenko, A. V., et al. 2013, MNRAS, 430, 1801, doi: 10.1093/mnras/stt009
2013 doi
-
[62]
2007, in Astronomical Society of the Pacific Conference Series, Vol
Golap, K. 2007, in Astronomical Society of the Pacific Conference Series, Vol. 376, Astronomical Data Analysis Software and Systems XVI, ed. R. A. Shaw, F. Hill, & D. J. Bell, 127
2007
-
[63]
2015, ApJ, 805, 120, doi: 10.1088/0004-637X/805/2/120
Miceli, M., Sciortino, S., Troja, E., & Orlando, S. 2015, ApJ, 805, 120, doi: 10.1088/0004-637X/805/2/120
2015 doi
-
[64]
1993, Lick Obs
Miller, J., & Stone, R. 1993, Lick Obs. Tech. Rep. 66, Tech. rep., Lick Obs.,Santa Cruz
1993
-
[65]
P., & Arcavi, I
Modjaz, M., Guti´ errez, C. P., & Arcavi, I. 2019, Nature Astronomy, 3, 717, doi: 10.1038/s41550-019-0856-2
2019 doi
-
[66]
O., Zoglauer, A., Boggs, S
Ofek, E. O., Zoglauer, A., Boggs, S. E., et al. 2014, ApJ, 781, 42, doi: 10.1088/0004-637X/781/1/42
2014 doi
- [67]
-
[68]
B., Cohen, J
Oke, J. B., Cohen, J. G., Carr, M., et al. 1995, PASP, 107, 375, doi: 10.1086/133562
1995 doi
-
[69]
2020, Transient Name Server Classification Report, 2020-3822, 1
Pessi, P., Anderson, J., Gutierrez, C., & Irani, I. 2020, Transient Name Server Classification Report, 2020-3822, 1
2020
-
[70]
2012, MNRAS, 423, L92, doi: 10.1111/j.1745-3933.2012.01264.x
Quataert, E., & Shiode, J. 2012, MNRAS, 423, L92, doi: 10.1111/j.1745-3933.2012.01264.x
2012
-
[71]
L., Habergham-Mawson, S
Ransome, C. L., Habergham-Mawson, S. M., Darnley, M. J., et al. 2021, MNRAS, 506, 4715, doi: 10.1093/mnras/stab1938
2021 doi
-
[72]
L., & Villar, V
Ransome, C. L., & Villar, V. A. 2024, arXiv e-prints, arXiv:2409.10596. https://arxiv.org/abs/2409.10596
2024 arXiv
- [73]
-
[74]
M., Nagao, T., Gottumukkala, R., et al
Reynolds, T. M., Nagao, T., Gottumukkala, R., et al. 2025, arXiv e-prints, arXiv:2501.13619, doi: 10.48550/arXiv.2501.13619
2025 doi
-
[75]
1993, ApJ, 416, 167, doi: 10.1086/173223
Ryder, S., Staveley-Smith, L., Dopita, M., et al. 1993, ApJ, 416, 167, doi: 10.1086/173223
1993 doi
-
[76]
E., de Koter, A., et al
Sana, H., de Mink, S. E., de Koter, A., et al. 2012, Science, 337, 444, doi: 10.1126/science.1223344
2012 doi
-
[77]
Sarangi, A., Dwek, E., & Arendt, R. G. 2018, ApJ, 859, 66, doi: 10.3847/1538-4357/aabfc3
2018 doi
-
[78]
Sarangi, A., & Slavin, J. D. 2022, ApJ, 933, 89, doi: 10.3847/1538-4357/ac713d
2022 doi
-
[79]
F., & Finkbeiner, D
Schlafly, E. F., & Finkbeiner, D. P. 2011, ApJ, 737, 103, doi: 10.1088/0004-637X/737/2/103
2011 doi
-
[80]
Schlegel, E. M. 1990, MNRAS, 244, 269
1990
-
[81]
A., Tucker, D
Smith, J. A., Tucker, D. L., Kent, S., et al. 2002, AJ, 123, 2121, doi: 10.1086/339311
2002 doi
-
[82]
W., Smartt, S
Smith, K. W., Smartt, S. J., Young, D. R., et al. 2020, PASP, 132, 085002, doi: 10.1088/1538-3873/ab936e
2020 doi
-
[83]
2014, ARA&A, 52, 487, doi: 10.1146/annurev-astro-081913-040025
Smith, N. 2014, ARA&A, 52, 487, doi: 10.1146/annurev-astro-081913-040025
2014 doi
-
[84]
2017, Interacting Supernovae: Types IIn and Ibn (Springer International Publishing), 403–429, doi: 10.1007/978-3-319-21846-5 38
Smith, N. 2017, Interacting Supernovae: Types IIn and Ibn (Springer International Publishing), 403–429, doi: 10.1007/978-3-319-21846-5 38
2017 doi
-
[85]
Smith, N., & Andrews, J. E. 2020, MNRAS, 499, 3544, doi: 10.1093/mnras/staa3047
2020 doi
- [86]
-
[87]
Smith, N., & Arnett, W. D. 2014, ApJ, 785, 82, doi: 10.1088/0004-637X/785/2/82
2014 doi
-
[88]
M., Filippenko, A
Smith, N., Chornock, R., Silverman, J. M., Filippenko, A. V., & Foley, R. J. 2010, ApJ, 709, 856, doi: 10.1088/0004-637X/709/2/856
2010 doi
-
[89]
J., & Filippenko, A
Smith, N., Foley, R. J., & Filippenko, A. V. 2008, ApJ, 680, 568, doi: 10.1086/587860
2008 doi
-
[91]
Filippenko, A. V. 2011b, MNRAS, 415, 773, doi: 10.1111/j.1365-2966.2011.18763.x
2011
-
[92]
Smith, N., & Owocki, S. P. 2006, ApJL, 645, L45, doi: 10.1086/506523
2006 doi
-
[93]
M., Filippenko, A
Smith, N., Silverman, J. M., Filippenko, A. V., et al. 2012, AJ, 143, 17, doi: 10.1088/0004-6256/143/1/17
2012 doi
-
[94]
2015, MNRAS, 447, 598, doi: 10.1093/mnras/stu2430
Smith, N., & Tombleson, R. 2015, MNRAS, 447, 598, doi: 10.1093/mnras/stu2430
2015 doi
-
[95]
J., et al
Smith, N., Li, W., Foley, R. J., et al. 2007, ApJ, 666, 1116, doi: 10.1086/519949
2007 doi
-
[96]
M., Chornock, R., et al
Smith, N., Silverman, J. M., Chornock, R., et al. 2009, ApJ, 695, 1334, doi: 10.1088/0004-637X/695/2/1334
2009 doi
-
[97]
D., Mauerhan, J
Smith, N., Kilpatrick, C. D., Mauerhan, J. C., et al. 2017, MNRAS, 466, 3021, doi: 10.1093/mnras/stw3204 33
2017 doi
-
[98]
E., Rest, A., et al
Smith, N., Andrews, J. E., Rest, A., et al. 2018, MNRAS, 480, 1466, doi: 10.1093/mnras/sty1500
2018 doi
-
[99]
W., McBrien, O., et al
Srivastav, S., Smith, K. W., McBrien, O., et al. 2020, Transient Name Server AstroNote, 215, 1
2020
-
[100]
Stetson, P. B. 1987, PASP, 99, 191, doi: 10.1086/131977
1987 doi
-
[101]
2012, ApJ, 756, 173, doi: 10.1088/0004-637X/756/2/173
Stritzinger, M., Taddia, F., Fransson, C., et al. 2012, ApJ, 756, 173, doi: 10.1088/0004-637X/756/2/173
2012 doi
-
[102]
D., Sollerman, J., et al
Taddia, F., Stritzinger, M. D., Sollerman, J., et al. 2013, A&A, 555, A10, doi: 10.1051/0004-6361/201321180
2013 doi
-
[103]
2020, A&A, 635, A39, doi: 10.1051/0004-6361/201936553
Tartaglia, L., Pastorello, A., Sollerman, J., et al. 2020, A&A, 635, A39, doi: 10.1051/0004-6361/201936553
2020 doi
-
[104]
P., Wheeler, J
Thomas, B. P., Wheeler, J. C., Dwarkadas, V. V., et al. 2022, ApJ, 930, 57, doi: 10.3847/1538-4357/ac5fa6
2022 doi
-
[105]
1986, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol
Tody, D. 1986, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 627, Instrumentation in astronomy VI, ed. D. L. Crawford, 733, doi: 10.1117/12.968154
1986 doi
-
[106]
1993, in Astronomical Society of the Pacific Conference Series, Vol
Tody, D. 1993, in Astronomical Society of the Pacific Conference Series, Vol. 52, Astronomical Data Analysis Software and Systems II, ed. R. J. Hanisch, R. J. V. Brissenden, & J. Barnes, 173
1993
-
[107]
L., Denneau, L., Heinze, A
Tonry, J. L., Denneau, L., Heinze, A. N., et al. 2018, PASP, 130, 064505, doi: 10.1088/1538-3873/aabadf
2018 doi
-
[108]
J., et al
Turatto, M., Cappellaro, E., Danziger, I. J., et al. 1993, MNRAS, 262, 128, doi: 10.1093/mnras/262.1.128
1993 doi
-
[109]
A., Stritzinger, M
Valenti, S., Howell, D. A., Stritzinger, M. D., et al. 2016, MNRAS, 459, 3939, doi: 10.1093/mnras/stw870 van Dyk, S. D., Weiler, K. W., Sramek, R. A., & Panagia, N. 1993, ApJL, 419, L69, doi: 10.1086/187139
2016 doi
-
[110]
W., Panagia, N., & Sramek, R
Weiler, K. W., Panagia, N., & Sramek, R. A. 1990, ApJ, 364, 611, doi: 10.1086/169444
1990 doi
-
[111]
W., Sramek, R
Weiler, K. W., Sramek, R. A., Panagia, N., van der Hulst, J. M., & Salvati, M. 1986, ApJ, 301, 790, doi: 10.1086/163944
1986 doi
-
[112]
C., Henderson, C
Wilson, J. C., Henderson, C. P., Herter, T. L., et al. 2004, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 5492, Ground-based Instrumentation for Astronomy, ed. A. F. M. Moorwood & M. Iye, 1295–1305, doi: 10.1117/12.550925
2004 doi
-
[113]
Woosley, S. E. 2017, ApJ, 836, 244, doi: 10.3847/1538-4357/836/2/244
2017 doi
-
[114]
E., & Smith, N
Woosley, S. E., & Smith, N. 2022, ApJ, 938, 57, doi: 10.3847/1538-4357/ac8eb3
2022 doi
-
[115]
2021, ApJ, 906, 3, doi: 10.3847/1538-4357/abc87c
Wu, S., & Fuller, J. 2021, ApJ, 906, 3, doi: 10.3847/1538-4357/abc87c
2021 doi
-
[116]
2012, PASP, 124, 668, doi: 10.1086/666656
Yaron, O., & Gal-Yam, A. 2012, PASP, 124, 668, doi: 10.1086/666656
2012 doi
- [117]
-
[118]
2010, ApJL, 717, L62, doi: 10.1088/2041-8205/717/1/L62
Yoon, S.-C., & Cantiello, M. 2010, ApJL, 717, L62, doi: 10.1088/2041-8205/717/1/L62
2010 doi
-
[119]
2012, AJ, 144, 131, doi: 10.1088/0004-6256/144/5/131
Zhang, T., Wang, X., Wu, C., et al. 2012, AJ, 144, 131, doi: 10.1088/0004-6256/144/5/131
2012 doi
Reviewed August 11, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.