Sub-Chandrasekhar progenitors for Type Ia SNe

A non-local-thermodynamic-equilibrium level population model of the first and second ionization stages of iron, nickel, and cobalt is used to fit a sample of XShooter optical + near-infrared (NIR) spectra of Type Ia supernovae (SNe Ia). From the ratio of the NIR lines to the optical lines limits can be placed on the temperature and density of the emission region. We find a similar evolution of these parameters across our sample. Using the evolution of the FeII 12570-7155{AA} line as a prior in fits of spectra covering only the optical wavelengths we show that the 7200{AA} feature is fully explained by [FeII] and [NiII] alone. This approach allows us to determine the abundance of NiII/FeII for a large sample of 130 optical spectra of 58 SNe Ia with uncertainties small enough to distinguish between Chandrasekhar mass (M_Ch_) and sub-Chandrasekhar mass (sub-M_Ch_) explosion models. We conclude that the majority (85 per cent) of normal SNe Ia have a Ni/Fe abundance that is in agreement with predictions of sub-M_Ch_ explosion simulations of ~Z_{sun} progenitors. Only a small fraction (11 per cent) of objects in the sample have a Ni/Fe abundance in agreement with M_Ch explosion models.

Cone search capability for table J/MNRAS/491/2902/tableb1 (Overview of spectra observations)

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/MNRAS/491/2902
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/491/2902
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/491/2902
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/MNRAS/491/2902
Provenance
Creator Flors A.; Spyromilio J.; Taubenberger S.; Blondin S.; Cartier R.,Leibundgut B.; Dessart L.; Dhawan S.; Hillebrandt W.
Publisher CDS
Publication Year 2023
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Interdisciplinary Astronomy; Natural Sciences; Observational Astronomy; Physics; Stellar Astronomy