Verifying the Cosmological Utility of Type Ia Supernovae: Implications of a Dispersion in the Ultraviolet Spectra
R. S. Ellis (1), M. Sullivan (2,3), P. E. Nugent (4), D. A. Howell, (2), A. Gal-Yam (1), P. Astier (5), D. Balam (6), C. Balland (5), S. Basa, (7), R. G. Carlberg (2), A. Conley (2), D. Fouchez (8), J. Guy (5), D. Hardin, (5), I. Hook (3), R. Pain (5), K. Perrett (2)

TL;DR
This study examines the ultraviolet spectral diversity of Type Ia Supernovae at intermediate redshift, revealing intrinsic variations that impact their use in precision cosmology and highlighting the need for further detailed spectral studies.
Contribution
Introduces a new host galaxy contamination removal method and provides the first quantitative analysis of UV spectral properties of a large sample of distant SNe Ia.
Findings
Significant UV spectral variations observed among high-redshift SNe Ia.
No strong evidence of evolution in mean UV spectra over 40% of cosmic history.
Intrinsic spectral variations could limit the precision of future cosmological measurements.
Abstract
We analyze the mean rest-frame ultraviolet (UV) spectrum of Type Ia Supernovae (SNe Ia) and its dispersion using high signal-to-noise Keck-I/LRIS-B spectroscopy for a sample of 36 events at intermediate redshift (z=0.5) discovered by the Canada-France-Hawaii Telescope Supernova Legacy Survey (SNLS). We introduce a new method for removing host galaxy contamination in our spectra, exploiting the comprehensive photometric coverage of the SNLS SNe and their host galaxies, thereby providing the first quantitative view of the UV spectral properties of a large sample of distant SNe Ia. Although the mean SN Ia spectrum has not evolved significantly over the past 40% of cosmic history, precise evolutionary constraints are limited by the absence of a comparable sample of high quality local spectra. Within the high-redshift sample, we discover significant UV spectral variations and exclude dust…
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.
