Determining the Type, Redshift, and Phase of a Supernova Spectrum

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

We present an algorithm to identify the types of supernova spectra, determine their redshift, and place constraints on their phase. This algorithm, based on the correlation techniques of Tonry & Davis (1979), is implemented in the SuperNova IDentification code (SNID; Blondin et al., in prep). This code is used by members of the ESSENCE project to determine whether a noisy spectrum of a high-redshift supernova is indeed of Type Ia, as opposed to, e.g., Type Ib/c. Furthermore, by comparing the correlation redshifts obtained using SNID with those determined from narrow emission or absorption lines in the supernova host galaxy, we show that accurate redshifts (with a typical error σ = 0.01) can be determined for SN Ia for which a spectrum of the host galaxy is unavailable. Last, the phase of a single supernova spectrum can be determined with a typical accuracy of σ = 3 days.
This work is partially supported by grant AST-0443378 from the US National Science Foundation.

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