Supernovae in the Subaru Deep Field: An Initial Sample, and Type Ia Rate, out to Redshift 1.6
Dovi Poznanski, Dan Maoz, Naoki Yasuda, Ryan J. Foley, Mamoru Doi,, Alexei V. Filippenko, Masataka Fukugita, Avishay Gal-Yam, Buell T. Jannuzi,, Tomoki Morokuma, Takeshi Oda, Heidi Schweiker, Keren Sharon, Jeffrey M., Silverman, and Tomonori Totani

TL;DR
This study presents initial findings from a deep supernova survey in the Subaru Deep Field, detecting 33 supernovae up to redshift 1.6, and analyzing their types, redshift distribution, and implications for cosmic star formation.
Contribution
It provides the first large, high-redshift supernova sample from the Subaru Deep Field, including photometric and spectroscopic classifications, and compares SN rates with other surveys like GOODS.
Findings
55% of supernovae are Type Ia
Redshift distribution of SNe Ia extends to z ~ 1.6
SN Ia rate appears constant at high redshift
Abstract
Large samples of high-redshift supernovae (SNe) are potentially powerful probes of cosmic star formation, metal enrichment, and SN physics. We present initial results from a new deep SN survey, based on re-imaging in the R, i', z' bands, of the 0.25 deg2 Subaru Deep Field (SDF), with the 8.2-m Subaru telescope and Suprime-Cam. In a single new epoch consisting of two nights of observations, we have discovered 33 candidate SNe, down to a z'-band magnitude of 26.3 (AB). We have measured the photometric redshifts of the SN host galaxies, obtained Keck spectroscopic redshifts for 17 of the host galaxies, and classified the SNe using the Bayesian photometric algorithm of Poznanski et al. (2007) that relies on template matching. After correcting for biases in the classification, 55% of our sample consists of Type Ia supernovae and 45% of core-collapse SNe. The redshift distribution of the SNe…
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