TheHubbleHigherzSupernova Search: Supernovae toz≈ 1.6 and Constraints on Type Ia Progenitor Models
Author(s) -
L. Strolger,
Adam G. Riess,
T. Dahlén,
Mario Livio,
N. Panagia,
P. Challis,
J. Tonry,
A. V. Filippenko,
R. Chornock,
Henry C. Ferguson,
Anton M. Koekemoer,
Bahram Mobasher,
Mark Dickinson,
Mauro Giavalisco,
Stefano Casertano,
Richard Hook,
Stephane Bondin,
B. Leibundgut,
M. ino,
P. Rosati,
Hyron Spinrad,
Charles C. Steidel,
Daniel Stern,
P. Garnavich,
T. Matheson,
Norman A. Grogin,
A. E. Hornschemeier,
C. Kretchmer,
Victoria G. Laidler,
Kyoungsoo Lee,
Ray A. Lucas,
D. F. de Mello,
Leonidas A. Moustakas,
Swara Ravindranath,
Marin Richardson,
Edward N. Taylor
Publication year - 2004
Publication title -
the astrophysical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.376
H-Index - 489
eISSN - 1538-4357
pISSN - 0004-637X
DOI - 10.1086/422901
Subject(s) - physics , limiting magnitude , redshift , astrophysics , advanced camera for surveys , supernova , chandra deep field south , hubble deep field , astronomy , hubble space telescope , galaxy
We present results from the Hubble Higher-z Supernova Search, the firstspace-based open field survey for supernovae (SNe). In cooperation with theGreat Observatories Origins Deep Survey, we have used the Hubble SpaceTelescope with the Advanced Camera for Surveys to cover 300 square arcmin inthe area of the Chandra Deep Field South and the Hubble Deep Field North onfive separate search epochs (separated by 45 day intervals) to a limitingmagnitude of z'=26. These deep observations have allowed us to discover 42 SNein the redshift range 0.2 < z < 1.6. As these data span a large range inredshift, they are ideal for testing the validity of Type Ia supernovaprogenitor models with the distribution of expected ``delay times,'' fromprogenitor star formation to SN Ia explosion, and the SN rates these modelspredict. Through a Bayesian maximum likelihood test, we determine whichdelay-time models best reproduce the redshift distribution of SNe Ia discoveredin this survey. We find that models that require a large fraction of ``prompt''(less than 2 Gyr) SNe Ia poorly reproduce the observed redshift distributionand are rejected at 95% confidence. We find that Gaussian models best fit theobserved data for mean delay times in the range of 3 to 4 Gyr.Comment: 32 pages, 15 figures, accepted for publication in the Astrophysical Journa
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