REVIEW 4 major objections 5 minor 76 references
Stripped-star binaries produce fast blue supernovae.
Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →
T0 review · deepseek-v4-flash
2026-08-01 12:16 UTC pith:RGJ4PYWG
load-bearing objection A solid and honest mapping of an already-proposed binary scenario to SCE light curves; the biggest uncertainty is the assumed ~20 km/s CSM velocity, which the authors flag but do not quantify. the 4 major comments →
Shock cooling emission from late-time mass loss in low-mass He star binaries
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The central claim is that late-time binary mass transfer in low-mass stripped stars (initial helium cores of roughly 2.5–2.75 solar masses, orbital periods of roughly 30–500 days) creates dense circumstellar material at rates of 10^-3 to 10^-1 solar masses per year in the final months to years before core collapse, with total CSM masses of 10^-3 to 10^-1 solar masses extending to 10^13–10^14 cm. When these progenitors explode, shock cooling emission from the CSM produces a bright, hot, fast-evolving peak that can reach bolometric luminosities above 10^44 erg/s for CSM masses above ~0.1 solar masses; thereafter, shock cooling of the extended helium envelope creates a plateau pinned near 10^4
What carries the argument
The mechanism is a two-phase shock cooling sequence. First, the supernova shock breaks out at the edge of dense CSM built up by late-time binary mass transfer, with CSM density set by the ratio of mass-loss rate to ejection velocity (rho = Mdot / 4π r² v_csm) and the ejection velocity tied to the binary orbital velocity. This produces the early bright peak. Second, as the photosphere recedes into the extended helium envelope, helium recombination near 10^4 K pins the thermalization depth at a constant color temperature, creating a plateau analogous to hydrogen recombination plateaus in Type IIP supernovae. Analytic scalings for plateau duration and luminosity (t_pl ∝ E^-1/4 M^1/2 R^1/6; L_pl
Load-bearing premise
The entire light-curve grid rests on the assumed CSM velocity of about 20 km/s (a fraction of the binary orbital velocity); if the real CSM is moving at the hundreds of km/s implied by narrow-line observations, the CSM would be more diffuse and extended, changing breakout radii, luminosities, and colors.
What would settle it
Measure the flash-ionized narrow-line widths of a Type Ibn SN soon after explosion: line widths of ~100–1000 km/s would contradict the ~20 km/s CSM velocity assumed here and shift the predicted breakout properties. Alternatively, monitor one of the modeled FBOTs at 3 GHz for about a year: the model predicts emission rising above ~10^27 erg/s/Hz at ~1 yr, so a deep non-detection at that epoch would rule out the dense extended CSM from the earlier mass-transfer phase.
If this is right
- If typical, this channel makes a subset of Type Ibn supernovae extremely bright and fast, with shock-cooling peaks above 10^44 erg/s for CSM masses above ~0.1 solar masses.
- The helium-recombination plateau gives observers a photometric ruler: measuring plateau luminosity and duration, combined with an ejecta-velocity estimate, yields the progenitor's envelope radius and total ejected mass.
- The same binary evolution predicts dense CSM out to ~10^18 cm from an earlier carbon-burning mass-transfer phase, so these transients should be accompanied by radio emission that rises months to years after optical discovery.
- The grid's fast, blue, short-timescale properties place many models in the same region of peak-magnitude versus rise-time space as observed fast blue optical transients, suggesting a common origin for some of those events.
- High-cadence surveys should uncover a population of dimmer, faster-evolving transients corresponding to lower-CSM-mass models that are underrepresented in current Type Ibn samples.
Where Pith is reading between the lines
- If the CSM is accelerated well above the assumed ~20 km/s before the explosion—as narrow emission lines in interacting SNe hint—the breakout radius and SCE peaks would shift toward fainter, longer-lived emission; this is a natural stress test of the grid that could be studied with the same machinery.
- The helium plateau mechanism suggests a direct analogy between Type IIP hydrogen recombination plateaus and stripped-envelope helium plateaus, implying that scaling relations calibrated on H-rich events could be transferred to H-poor ones.
- Late-time radio monitoring at ~1 year provides a discriminant: prompt (first ~100 day) radio non-detections are consistent with the model, while rising 3 GHz emission above ~10^27 erg/s/Hz at ~1 year would be a smoking gun for the binary mass-loss channel.
- The same progenitor channel, extended to tighter orbits or unstable mass transfer, may also produce the fastest FBOTs; whether that extrapolation holds is a testable extension beyond the paper's grid.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper models supernovae from low-mass stripped helium stars in binaries (M_He,i = 2.5–2.75 Msun, P_orb = 30–500 d) using MESA binary evolution, converts the late-time mass-loss histories into spherical CSM density profiles, and explodes the resulting progenitors with SNEC. The central results are: (i) shock-cooling emission from the CSM and the extended He envelope dominates the early light curves; (ii) analytic scalings for the He recombination plateau duration, luminosity, and g-band magnitude reproduce the numerical grid; (iii) the model grid overlaps with the brightest/fastest Type Ibn SNe and with a subset of Type Ib/n FBOTs; and (iv) the scenario predicts late-time rising radio emission from interaction with extended CSM. The authors conclude that explosions of low-mass stripped stars in binaries with late-time mass loss may contribute to the observed population of interacting H-poor SNe and FBOTs.
Significance. If the conclusions hold, this is a valuable step toward connecting a specific binary evolutionary channel to the observed diversity of hydrogen-poor interacting SNe. The use of MESA-derived mass-loss histories rather than ad hoc CSM profiles is a clear strength, and the analytic plateau relations (Eqs. 11–15) could be practically useful for interpreting observed light-curve plateaus. The paper also makes a falsifiable prediction of late-time radio emission in Section 5.2. The main caveat is that the quantitative light-curve predictions, and hence the FBOT/Type Ibn overlap, are tied to the assumed CSM velocity, which is acknowledged but not varied or quantified. The comparison to individual observed events is also qualitative and uses tuned explosion parameters, so the population-overlap claim should be read as a plausibility argument rather than a unique identification.
major comments (4)
- [Section 2.2 / Eq. (2) / Section 5.4] The CSM velocity assumption is load-bearing but not quantified. The manuscript states v_csm ≈ 20 km/s and acknowledges in Section 5.4 that narrow-line widths in interacting SNe suggest 10^2–10^3 km/s, yet no sensitivity study is given. Since rho ∝ 1/v_csm (Eq. 1) and R_sbo depends on R_d ∝ 1/v_csm (Eqs. 4–5), a tenfold larger v_csm lowers the CSM column and can move the tau=2/3 photosphere inward, reducing the CSM mass actually included in the SNEC grid. This directly affects the M_csm ≳ 0.1 Msun models that drive the Fig. 8 overlap. I request either a v_csm parameter study or analytic estimates showing how t_d, L_SCE, and M_g,pl shift with v_csm, plus a re-assessment of the FBOT/Type Ibn comparison. In addition, f_inf ≈ 0.2 with q ≈ 0.5–0.56 gives v_csm/v_orb,c ≈ 0.35, not the stated 0.42–0.44; the normalization should be reconciled.
- [Section 3.3 / Eqs. (11)–(15) / Fig. 4] The analytic plateau scalings are calibrated to the same numerical grid used for the comparison. The constants 12 d, 1.25e41 erg/s, and −13.2/−12.8 mag are fits to the models, so the agreement in Fig. 4 demonstrates internal consistency rather than an independent predictive test. The claim in Section 3.3 that these relations can be used to infer M_sum and R_ej from observations should be framed as a calibrated fitting formula, with the scatter shown in Fig. 4 propagated into the inferred quantities.
- [Section 2.3.1 / Section 5.4 / Fig. 8] The color temperature is stated to be an upper limit, but the absolute magnitudes in g and r are computed from T_color via bolometric corrections, and these magnitudes are used in the Fig. 8 FBOT overlap. Appendix A reports that a factor ~2 change in T_color causes g−r changes of ~0.2 mag. This uncertainty should be propagated into the model locus in Fig. 8 before claiming significant overlap with FBOTs; the current discussion is only qualitative.
- [Section 4.1 / Figs. 5–7] The per-event comparisons use explosion parameters tuned individually to each observed event (e.g., M_Ni = 0.1 Msun for SN 2019kbj, E_SN = 3e51 erg for iPTF15ul), and the text acknowledges that MOSFiT fits infer different CSM parameters for the same events. This is appropriate for demonstrating plausibility, but the wording in Section 4.2 that the model 'can be observed in nature' is stronger than the by-eye comparisons support. A quantitative goodness-of-fit or at least a more systematic statement of degeneracies would strengthen this claim.
minor comments (5)
- [Fig. 8 caption] The caption labels are confusing: the text refers to the right panel as the g-band plot, while the caption seems to label the right panel as r-band and the left panel as g-band. Please correct so that panel labels match the text.
- [Section 4.1 / Fig. 6 caption] The model name is inconsistent for the iPTF14gqr comparison: the text uses M2.75P30 but the Figure 6 caption and a later sentence use M2.72P30. Please verify which model is actually shown.
- [Section 4.3] Typo: 'which inclues both' should be 'which includes both.' Also, the footnote marker for ZTF BTS appears as a bare '3' after the URL; format it as a proper footnote.
- [Section 4.2] The sentence 'a cooler temperature would increase the flux in these bands' seems physically backwards for a fixed bolometric luminosity in the Rayleigh–Jeans limit. Please clarify the intended argument.
- [Section 3.1 / Table 1] Table 1 lists R_sbo/R_csm = 1.0 for some models. Since R_sbo < R_csm by definition, please clarify whether these are rounded values or indicate the shock breaks out exactly at the grid edge.
Circularity Check
Independent MESA/SNEC light-curve grid; mild in-sample calibration of analytic plateau constants only.
specific steps
-
fitted input called prediction
[Section 3.3, Equations (11)-(13), Figure 4 caption]
"t_pl = 12 d E^{-1/4}_SN M^{1/2}_sum R^{1/6}_ej ... The analytic predictions are evaluated using the expressions written in each panel."
The normalization constants (12 d, 1.25e41 erg/s, -13.2/-12.8 mag) are chosen to match the same SNEC numerical grid whose plateau properties they are then said to 'predict'. The 1:1 agreement in Figure 4 is therefore partly forced by construction. The scaling exponents are imported from independent Type IIP recombination theory (Kasen & Woosley 2009), so only the zero-points are fit, and the central light-curve grid plus FBOT comparison do not depend on these calibrated constants.
full rationale
The paper's central chain is self-contained: MESA binary evolution of stripped stars produces mass-loss histories, Equation (1) converts those into CSM density profiles with v_csm from the external SPH calibration of Pejcha et al. (2016), and SNEC explosions of the resulting progenitors generate the light curves. The population comparison in Figure 8 uses a model grid with E_SN and M_Ni varied over literature-motivated ranges, not fitted to the observed events, so the claimed overlap with Type Ib/n SNe and FBOTs is not constructed from those events. Self-citations (Wu & Fuller 2022 for evolution methods, Wu & Tsuna 2025 for radio predictions) are supported by independent calculations in this paper or prior parameter-free work and are not invoked as uniqueness theorems. The main caveats are the uncertain CSM velocity (Section 5.4) and per-event tuning of E_SN and M_Ni in Section 4; these affect robustness but are not definitional circularity. The only in-sample element is the normalization of the analytic plateau scalings in Equations (11)-(15), which is transparently calibrated to the numerical grid and does not bear the weight of the paper's main conclusion.
Axiom & Free-Parameter Ledger
free parameters (6)
- M_He,i grid values =
2.51, 2.55, 2.62, 2.65, 2.72, 2.75 M_sun
- P_orb,i grid values =
30, 100, 300, 400, 500 d
- E_SN (per-model explosion energy) =
1e50 to 3e51 erg
- M_Ni (56Ni mass) =
0.01 to 0.1 M_sun
- f_inf CSM velocity normalization =
~0.2
- Analytic plateau constants (tpl, Lpl, M_g,pl offsets) =
12 d; 1.25e41 erg/s; -13.2/-12.8 mag
axioms (7)
- domain assumption MESA r15140 with the modified Kolb-Ritter implicit mass-transfer scheme tracks the late-stage RLOF mass-loss history of stripped stars.
- domain assumption Mass transfer is fully non-conservative (f_mt=0, beta_mt=1) and mass/angular momentum are lost as a fast wind near the accretor.
- domain assumption The ejected CSM is spherically symmetric with rho_csm = Mdot/(4*pi*r^2*v_csm) and a single constant velocity v_csm.
- domain assumption v_csm follows the SPH L2-outflow scaling of Pejcha et al. (2016) with f_inf ≈ 0.2.
- domain assumption SNEC 1D radiation hydrodynamics with thermal-bomb explosions, grey Rosseland opacities, and the specified 56Ni mixing/recombination boxcar choices captures the relevant SCE physics.
- domain assumption Photons escape from tau_th=1 and the SED is a single-temperature blackbody at T_color; line blanketing and frequency-dependent absorption are negligible.
- domain assumption Excising material above the tau=2/3 photosphere does not affect the SCE light curves.
read the original abstract
A subset of hydrogen-poor supernovae (SNe) exhibit signatures of interaction with nearby dense circumstellar material (CSM). These SNe may originate from interacting binary systems, in which the SN progenitor experiences intense mass loss when it overflows its Roche lobe close to core collapse. In this work, we explore the appearance of SNe from low-mass stripped star progenitors in binary systems, for a range of initial orbital periods and masses. We model the CSM based on the stripped stars' mass loss history in binary stellar evolution simulations, then numerically explode the progenitors to calculate the SN light curves. Shock cooling emission (SCE) from the CSM dominates the early light curves, followed by SCE from the extended helium envelopes of the stripped stars, which form helium recombination plateaus. The appearance and properties of our model light curves are reflected in a subset of Type Ib/n SNe from the literature. Some of our models tend to evolve rapidly and are quite hot during SCE, so they may naturally explain some fraction of fast blue optical transients (FBOTs). Since the mass loss history of our binary progenitor models can produce dense CSM out to ~10^18 cm, interaction of this CSM with the SN shock could generate bright late-time radio emission in the years after the optical SN. Searching for late time rising radio emission from FBOTs could be used to test which events are explained by the scenario we explore here.
Figures
Reference graph
Works this paper leans on
-
[1]
2026, ApJ, 1001, 191, doi: 10.3847/1538-4357/ae5638
Aspegren, O., & Kasen, D. 2026, ApJ, 1001, 191, doi: 10.3847/1538-4357/ae5638
-
[2]
Bellm, E. C., Kulkarni, S. R., Graham, M. J., et al. 2019, PASP, 131, 018002, doi: 10.1088/1538-3873/aaecbe
-
[3]
2023, ApJ, 946, 30, doi: 10.3847/1538-4357/acb432
Ben-Ami, T., Arcavi, I., Newsome, M., et al. 2023, ApJ, 946, 30, doi: 10.3847/1538-4357/acb432
-
[4]
2000, ApJ, 532, 1132, doi: 10.1086/308588
Iwamoto, K. 2000, ApJ, 532, 1132, doi: 10.1086/308588
doi:10.1086/308588 2000
-
[5]
I., & Bartunov, O
Blinnikov, S. I., & Bartunov, O. S. 2011, STELLA: Multi-group Radiation Hydrodynamics Code,, Astrophysics Source Code Library, record ascl:1108.013 http://ascl.net/1108.013
2011
-
[6]
Blinnikov, S. I., Eastman, R., Bartunov, O. S., Popolitov, V. A., & Woosley, S. E. 1998, ApJ, 496, 454, doi: 10.1086/305375
doi:10.1086/305375 1998
-
[7]
Blinnikov, S. I., R¨ opke, F. K., Sorokina, E. I., et al. 2006, A&A, 453, 229, doi: 10.1051/0004-6361:20054594
-
[8]
2024, ApJL, 964, L16, doi: 10.3847/2041-8213/ad319e
Burrows, A., Wang, T., & Vartanyan, D. 2024, ApJL, 964, L16, doi: 10.3847/2041-8213/ad319e
-
[9]
Chevalier, R. A., & Irwin, C. M. 2011, ApJL, 729, L6, doi: 10.1088/2041-8205/729/1/L6
-
[10]
Chiba, R., & Moriya, T. J. 2025, MNRAS, 542, 2353, doi: 10.1093/mnras/staf1382
-
[11]
De, K., Kasliwal, M. M., Ofek, E. O., et al. 2018, Science, 362, 201, doi: 10.1126/science.aas8693
-
[12]
Dessart, L., Hillier, D. J., Livne, E., et al. 2011, MNRAS, 414, 2985, doi: 10.1111/j.1365-2966.2011.18598.x
arXiv 2011
-
[13]
2022, A&A, 658, A130, doi: 10.1051/0004-6361/202142436
Dessart, L., John Hillier, D., & Kuncarayakti, H. 2022, A&A, 658, A130, doi: 10.1051/0004-6361/202142436
-
[14]
Dessart, L., Yoon, S.-C., Aguilera-Dena, D. R., & Langer, N. 2020, A&A, 642, A106, doi: 10.1051/0004-6361/202038763
-
[15]
Dewi, J. D. M., & Pols, O. R. 2003, MNRAS, 344, 629, doi: 10.1046/j.1365-8711.2003.06844.x
arXiv 2003
-
[16]
2024, ApJ, 977, 254, doi: 10.3847/1538-4357/ad8de6
Dong, Y., Tsuna, D., Valenti, S., et al. 2024, ApJ, 977, 254, doi: 10.3847/1538-4357/ad8de6
-
[17]
Ensman, L. M., & Woosley, S. E. 1988, ApJ, 333, 754, doi: 10.1086/166785
doi:10.1086/166785 1988
-
[18]
2025, A&A, 696, A103, doi: 10.1051/0004-6361/202453426
Ercolino, A., Jin, H., Langer, N., & Dessart, L. 2025, A&A, 696, A103, doi: 10.1051/0004-6361/202453426
-
[19]
Farias, D., Gall, C., Villar, V. A., et al. 2026, A&A, 708, A270, doi: 10.1051/0004-6361/202555954
-
[20]
Gal-Yam, A., Arcavi, I., Ofek, E. O., et al. 2014, Nature, 509, 471, doi: 10.1038/nature13304
-
[21]
2022, ApJ, 930, 127, doi: 10.3847/1538-4357/ac6187
Gangopadhyay, A., Misra, K., Hosseinzadeh, G., et al. 2022, ApJ, 930, 127, doi: 10.3847/1538-4357/ac6187
-
[22]
Guillochon, J., Nicholl, M., Villar, V. A., et al. 2018, ApJS, 236, 6, doi: 10.3847/1538-4365/aab761
-
[23]
Haynie, A., & Piro, A. L. 2021, ApJ, 910, 128, doi: 10.3847/1538-4357/abe938
-
[24]
Haynie, A., & Piro, A. L. 2023, ApJ, 956, 98, doi: 10.3847/1538-4357/acf844
-
[25]
Haynie, A., Wu, S. C., Piro, A. L., & Fuller, J. 2025, ApJ, 987, 149, doi: 10.3847/1538-4357/addc72
-
[26]
Ho, A. Y. Q., Perley, D. A., Kulkarni, S. R., et al. 2020, ApJ, 895, 49, doi: 10.3847/1538-4357/ab8bcf
-
[27]
Ho, A. Y. Q., Perley, D. A., Gal-Yam, A., et al. 2021, arXiv e-prints, arXiv:2105.08811. https://arxiv.org/abs/2105.08811
Pith/arXiv arXiv 2021
-
[28]
Ho, A. Y. Q., Perley, D. A., Gal-Yam, A., et al. 2023, ApJ, 949, 120, doi: 10.3847/1538-4357/acc533
-
[29]
2017, ApJ, 836, 158, doi: 10.3847/1538-4357/836/2/158 Ivezi´ c,ˇZ., Kahn, S
Hosseinzadeh, G., Arcavi, I., Valenti, S., et al. 2017, ApJ, 836, 158, doi: 10.3847/1538-4357/836/2/158 Ivezi´ c,ˇZ., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111, doi: 10.3847/1538-4357/ab042c Jacobson-Gal´ an, W. V., Margutti, R., Kilpatrick, C. D., et al. 2020, ApJ, 898, 166, doi: 10.3847/1538-4357/ab9e66
-
[30]
Jin, H., Yoon, S.-C., & Blinnikov, S. 2023, ApJ, 950, 44, doi: 10.3847/1538-4357/accf0d 21 0 10 20 30 40 50 Time (d) 1040 1041 1042 1043 1044 1045 1046 Bolometric Luminosity (erg/s) ESN = 3 × 1051 erg M2.51P400 M2.51P500 M2.51P300 M2.55P300 M2.62P300 M2.65P300 M2.72P300 M2.75P300 10 3 10 2 10 1 Mcsm (M ) 0 10 20 30 40 50 Time (d) 1040 1041 1042 1043 1044 ...
-
[31]
Kasen, D., & Woosley, S. E. 2009, ApJ, 703, 2205, doi: 10.1088/0004-637X/703/2/2205
-
[32]
Khatami, D. K., & Kasen, D. N. 2019, ApJ, 878, 56, doi: 10.3847/1538-4357/ab1f09
-
[33]
Khatami, D. K., & Kasen, D. N. 2024, ApJ, 972, 140, doi: 10.3847/1538-4357/ad60c0
-
[34]
2016, ApJ, 818, 3, doi: 10.3847/0004-637X/818/1/3
Khazov, D., Yaron, O., Gal-Yam, A., et al. 2016, ApJ, 818, 3, doi: 10.3847/0004-637X/818/1/3
-
[35]
Kleiser, I. K. W., & Kasen, D. 2014, MNRAS, 438, 318, doi: 10.1093/mnras/stt2191
-
[36]
1990, A&A, 236, 385
Kolb, U., & Ritter, H. 1990, A&A, 236, 385
1990
-
[37]
2020, A&A, 637, A6, doi: 10.1051/0004-6361/201937300
Farmer, R. 2020, A&A, 637, A6, doi: 10.1051/0004-6361/201937300
-
[38]
2022, arXiv e-prints, arXiv:2204.00847
Lu, W., Fuller, J., Quataert, E., & Bonnerot, C. 2022, arXiv e-prints, arXiv:2204.00847. https://arxiv.org/abs/2204.00847
Pith/arXiv arXiv 2022
-
[39]
Lyman, J. D., Bersier, D., James, P. A., et al. 2016, MNRAS, 457, 328, doi: 10.1093/mnras/stv2983
-
[40]
MacLeod, M., Ostriker, E. C., & Stone, J. M. 2018, ApJ, 868, 136, doi: 10.3847/1538-4357/aae9eb
-
[41]
Maeda, K., & Moriya, T. J. 2022, ApJ, 927, 25, doi: 10.3847/1538-4357/ac4672
-
[42]
H., Abdallah, Jr., J., Clark, R
Magee, N. H., Abdallah, Jr., J., Clark, R. E. H., et al. 1995, in Astronomical Society of the Pacific Conference Series, Vol. 78, Astrophysical Applications of Powerful New Databases, ed. S. J. Adelman & W. L. Wiese, 51
1995
-
[43]
Marchant, P., Pappas, K. M. W., Gallegos-Garcia, M., et al. 2021, A&A, 650, A107, doi: 10.1051/0004-6361/202039992
-
[44]
Morozova, V., Piro, A. L., Renzo, M., et al. 2015, ApJ, 814, 63, doi: 10.1088/0004-637X/814/1/63
-
[45]
Morozova, V., Piro, A. L., & Valenti, S. 2018, ApJ, 858, 15, doi: 10.3847/1538-4357/aab9a6
-
[46]
Nakar, E., & Piro, A. L. 2014, ApJ, 788, 193, doi: 10.1088/0004-637X/788/2/193
-
[47]
2008, MNRAS, 389, 113, doi: 10.1111/j.1365-2966.2008.13602.x
Pastorello, A., Mattila, S., Zampieri, L., et al. 2008, MNRAS, 389, 113, doi: 10.1111/j.1365-2966.2008.13602.x
arXiv 2008
-
[48]
2011, ApJS, 192, 3, doi: 10.1088/0067-0049/192/1/3
Paxton, B., Bildsten, L., Dotter, A., et al. 2011, ApJS, 192, 3, doi: 10.1088/0067-0049/192/1/3
-
[49]
2013, ApJS, 208, 4, doi: 10.1088/0067-0049/208/1/4
Paxton, B., Cantiello, M., Arras, P., et al. 2013, ApJS, 208, 4, doi: 10.1088/0067-0049/208/1/4
-
[50]
2015, ApJS, 220, 15, doi: 10.1088/0067-0049/220/1/15
Paxton, B., Marchant, P., Schwab, J., et al. 2015, ApJS, 220, 15, doi: 10.1088/0067-0049/220/1/15
-
[51]
Paxton, B., Schwab, J., Bauer, E. B., et al. 2018, ApJS, 234, 34, doi: 10.3847/1538-4365/aaa5a8
-
[52]
2019, ApJS, 243, 10, doi: 10.3847/1538-4365/ab2241
Paxton, B., Smolec, R., Schwab, J., et al. 2019, ApJS, 243, 10, doi: 10.3847/1538-4365/ab2241
-
[53]
Pejcha, O., Metzger, B. D., & Tomida, K. 2016, MNRAS, 461, 2527, doi: 10.1093/mnras/stw1481
-
[55]
Pellegrino, C., Howell, D. A., Vink´ o, J., et al. 2022b, ApJ, 926, 125, doi: 10.3847/1538-4357/ac3e63
-
[56]
Pellegrino, C., Howell, D. A., Terreran, G., et al. 2022c, ApJ, 938, 73, doi: 10.3847/1538-4357/ac8ff6
-
[57]
A., Fremling, C., Sollerman, J., et al
Perley, D. A., Fremling, C., Sollerman, J., et al. 2020, ApJ, 904, 35, doi: 10.3847/1538-4357/abbd98
-
[58]
Piro, A. L., Haynie, A., & Yao, Y. 2021, ApJ, 909, 209, doi: 10.3847/1538-4357/abe2b1
-
[59]
Popov, D. V. 1993, ApJ, 414, 712, doi: 10.1086/173117
doi:10.1086/173117 1993
-
[60]
2024, MNRAS, 534, 3853, doi: 10.1093/mnras/stae2289
Rose, K., Horesh, A., Murphy, T., et al. 2024, MNRAS, 534, 3853, doi: 10.1093/mnras/stae2289
-
[61]
2024, ApJ, 964, 74, doi: 10.3847/1538-4357/ad2704
Shvartzvald, Y., Waxman, E., Gal-Yam, A., et al. 2024, ApJ, 964, 74, doi: 10.3847/1538-4357/ad2704
-
[62]
2017, in Handbook of Supernovae, ed
Smith, N. 2017, in Handbook of Supernovae, ed. A. W. Alsabti & P. Murdin, 403, doi: 10.1007/978-3-319-21846-5 38
-
[63]
C., Terreran, G., Coppejans, D
Stroh, M. C., Terreran, G., Coppejans, D. L., et al. 2021, ApJL, 923, L24, doi: 10.3847/2041-8213/ac375e
-
[64]
Strotjohann, N. L., Ofek, E. O., Gal-Yam, A., et al. 2021, ApJ, 907, 99, doi: 10.3847/1538-4357/abd032
-
[65]
Taddia, F., Stritzinger, M. D., Bersten, M., et al. 2018, A&A, 609, A136, doi: 10.1051/0004-6361/201730844
-
[66]
2022, ApJ, 929, 177, doi: 10.3847/1538-4357/ac60fe
Takei, Y., Tsuna, D., Kuriyama, N., Ko, T., & Shigeyama, T. 2022, ApJ, 929, 177, doi: 10.3847/1538-4357/ac60fe
-
[67]
Tauris, T. M., Langer, N., Moriya, T. J., et al. 2013, ApJL, 778, L23, doi: 10.1088/2041-8205/778/2/L23
-
[68]
M., Langer, N., & Podsiadlowski, P
Tauris, T. M., Langer, N., & Podsiadlowski, P. 2015, MNRAS, 451, 2123, doi: 10.1093/mnras/stv990
-
[69]
Tsuna, D., Murase, K., & Moriya, T. J. 2023, ApJ, 952, 115, doi: 10.3847/1538-4357/acdb71
-
[70]
C., Fuller, J., Dong, Y., & Piro, A
Tsuna, D., Wu, S. C., Fuller, J., Dong, Y., & Piro, A. L. 2024, The Open Journal of Astrophysics, 7, 82, doi: 10.33232/001c.123897
-
[71]
2025, A&A, 700, A156, doi: 10.1051/0004-6361/202554768
Wang, Z.-Y., Pastorello, A., Cai, Y.-Z., et al. 2025, A&A, 700, A156, doi: 10.1051/0004-6361/202554768
-
[72]
Wu, S. C., & Fuller, J. 2022, ApJL, 940, L27, doi: 10.3847/2041-8213/ac9b3d
-
[73]
Wu, S. C., & Tsuna, D. 2025, ApJ, 994, 141, doi: 10.3847/1538-4357/ae113c
-
[74]
2023, ApJL, 959, L32, doi: 10.3847/2041-8213/ad0cc3
Yan, S., Wang, X., Gao, X., et al. 2023, ApJL, 959, L32, doi: 10.3847/2041-8213/ad0cc3
-
[75]
Yao, Y., De, K., Kasliwal, M. M., et al. 2020, ApJ, 900, 46, doi: 10.3847/1538-4357/abaa3d
-
[76]
Yoon, S. C., Woosley, S. E., & Langer, N. 2010, ApJ, 725, 940, doi: 10.1088/0004-637X/725/1/940
-
[77]
Zapartas, E., de Mink, S. E., Van Dyk, S. D., et al. 2017, ApJ, 842, 125, doi: 10.3847/1538-4357/aa7467
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.