Quantifying Spectral Features of Type Ia Supernovae

Abstract

We introduce a new technique to quantify highly structured spectra for which the definition of continua or spectral features in the observed flux spectra is difficult. The method employs wavelet transformation which allows the decomposition of the observed spectra into different scales. A procedure is formulated to define the strength of spectral features so that the measured spectral indices are independent of the flux levels and are insensitive to the definition of continuum and also to reddening. This technique is applied to Type Ia supernovae spectra, where correlations are revealed between the luminosity and spectral features. The current technique may allow for luminosity corrections based on spectral features in the use of Type Ia supernovae as cosmological probe.

35 pages, 15 figures

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Cited by in corpus (11)

• Spectroscopy of Type Ia Supernovae by the Carnegie Supernova Project
• Linear spectropolarimetry of 35 Type Ia Supernovae with VLT/FORS: An analysis of the Si II line polarization
• Do spectra improve distance measurements of Type Ia supernovae?
• The Most Slowly Declining Type Ia Supernova 2001ay
• Spectroscopic Studies of Type Ia Supernovae Using LSTM Neural Networks
• Characterization of Type Ia Supernova Light Curves Using Principal Component Analysis of Sparse Functional Data
• Using 1991T/1999aa-like Type Ia Supernovae as Standardizable Candles
• An independent determination of the distance to supernova SN 1987A by means of the light echo AT 2019xis
• A New Insight into the Classification of Type Ia Supernovae
• Revisiting the unification of tidal disruption events with polarimetry
• Lower bounds on photometric redshift errors from Type Ia supernovae templates