PHotometry Assisted Spectral Extraction (PHASE) and identification of SNLS supernovae

2008/09/25 by S. Baumont, C. Balland, P. Astier +7 · 16 citations
Engineering · Physics and Astronomy · #Astronomy and Astrophysical Research #CCD and CMOS Imaging Sensors #Gamma-ray bursts and supernovae #Identification (biology) #Photometry (optics) #Spectral analysis #Spectral line #Stellar classification #Supernova #astro-ph

paper · pdf · doi:10.1051/0004-6361:200810210

published in Astronomy and Astrophysics 491(2), 567-585 (EDP Sciences) · 27 pages, 18 Figures, 1 Table. Accepted for publication in A&A

arxiv created 2008/09/25 · openalex publication_date 2008/10/01 · arxiv updated 2009/12/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

Abstract

Aims. We present new extraction and identification techniques for supernova (SN) spectra developed within the Supernova Legacy Survey (SNLS) collaboration.

Citations

• An optimal extraction algorithm for CCD spectroscopy
• Metallicity Effects in Non‐LTE Model Atmospheres of Type Ia Supernovae
• Spectroscopic confirmation of high-redshift supernovae with the ESO VLT
• Determining the Type, Redshift, and Age of a Supernova Spectrum
• The Supernova Legacy Survey: measurement of Ω_M, Ω_Λ andwfrom the first year data set
• Quantitative comparison between type Ia supernova spectra at low and high redshifts: a case study
• Optical Spectroscopy of Type I[CLC]b[/CLC]/[CLC]c[/CLC] Supernovae