Comparative Analysis of SN 2012dn Optical Spectra: Days -14 to +114
J. T. Parrent, D. A. Howell, R. A. Fesen, S. Parker, F. B. Bianco, B., Dilday, D. Sand, S. Valenti, J. Vink\'o, P. Berlind, P. Challis, D., Milisavljevic, N. Sanders, G. H. Marion, J. C. Wheeler, P. Brown, M. L., Calkins, B. Friesen, R. Kirshner, T. Pritchard, R. Quimby

TL;DR
This study analyzes the optical spectra of supernova SN 2012dn, revealing insights into its composition, progenitor mass, and spectral features, and compares it with other Type Ia supernovae to understand diversity.
Contribution
It applies the SYNAPPS spectral synthesis tool to estimate velocities and compositions, providing new constraints on the progenitor mass and spectral features of SN 2012dn.
Findings
Unburned carbon and intermediate mass elements are spatially coincident in the ejecta.
SN 2012dn's luminosity suggests a progenitor mass over 1.6 solar masses, challenging some merger models.
Diverse spectral features and unburned carbon are observed among different SN Ia subtypes.
Abstract
SN 2012dn is a super-Chandrasekhar mass candidate in a purportedly normal spiral (SAcd) galaxy, and poses a challenge for theories of type Ia supernova diversity. Here we utilize the fast and highly parameterized spectrum synthesis tool, SYNAPPS, to estimate relative expansion velocities of species inferred from optical spectra obtained with six facilities. As with previous studies of normal SN Ia, we find that both unburned carbon and intermediate mass elements are spatially coincident within the ejecta near and below 14,000 km/s. Although the upper limit on SN 2012dn's peak luminosity is comparable to some of the most luminous normal SN Ia, we find a progenitor mass exceeding ~1.6 Msun is not strongly favored by leading merger models since these models do not accurately predict spectroscopic observations of SN 2012dn and more normal events. In addition, a comparison of light curves…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
