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Twenty‐Three High‐Redshift Supernovae from the Institute for Astronomy Deep Survey: Doubling the Supernova Sample at z > 0.7

dash.depositing.authorKirshner, Robert P.::0f07c3b6230f5e5a42326bcba12a1795::600
dash.licenseLAA
dash.source.page571-594
dash.source.volume602;2
dash.workflow.comments1Science Serial ID 96867
dc.contributor.authorBarris, Brian J.
dc.contributor.authorTonry, John L.
dc.contributor.authorBlondin, Stephane
dc.contributor.authorChallis, Peter
dc.contributor.authorChornock, Ryan
dc.contributor.authorClocchiatti, Alejandro
dc.contributor.authorFilippenko, Alexei V.
dc.contributor.authorGarnavich, Peter
dc.contributor.authorHolland, Stephen T.
dc.contributor.authorJha, Saurabh
dc.contributor.authorKirshner, Robert P.
dc.contributor.authorKrisciunas, Kevin
dc.contributor.authorLeibundgut, Bruno
dc.contributor.authorLi, Weidong
dc.contributor.authorMatheson, Thomas
dc.contributor.authorMiknaitis, Gajus
dc.contributor.authorRiess, Adam G.
dc.contributor.authorSchmidt, Brian P.
dc.contributor.authorSmith, R. Chris
dc.contributor.authorSollerman, Jesper
dc.contributor.authorSpyromilio, Jason
dc.contributor.authorStubbs, Christopher W.
dc.contributor.authorSuntzeff, Nicholas B.
dc.contributor.authorAussel, Herve
dc.contributor.authorChambers, K. C.
dc.contributor.authorConnelley, M. S.
dc.contributor.authorDonovan, D.
dc.contributor.authorHenry, J. Patrick
dc.contributor.authorKaiser, Nick
dc.contributor.authorLiu, Michael C.
dc.contributor.authorMartin, Eduardo L.
dc.contributor.authorWainscoat, Richard J.
dc.date.accessioned2019-09-25T14:13:41Z
dc.date.available2019-09-25T14:13:41Z
dc.date.issued2004
dc.description.abstractWe present photometric and spectroscopic observations of 23 high-redshift supernovae (SNe) spanning a range of z = 0.34-1.03, nine of which are unambiguously classified as Type Ia. These SNe were discovered during the IfA Deep Survey, which began in 2001 September and observed a total of 2.5 deg(2) to a depth of approximately m approximate to 25-26 in RIZ over 9-17 visits, typically every 1-3 weeks for nearly 5 months, with additional observations continuing until 2002 April. We give a brief description of the survey motivations, observational strategy, and reduction process. This sample of 23 high-redshift SNe includes 15 at z greater than or equal to 0.7, doubling the published number of objects at these redshifts, and indicates that the evidence for acceleration of the universe is not due to a systematic effect proportional to redshift. In combination with the recent compilation of Tonry et al. (2003), we calculate cosmological parameter density contours that are consistent with the flat universe indicated by the cosmic microwave background (Spergel et al. 2003). Adopting the constraint that Omega(total) = 1.0, we obtain best-fit values of (Omega(m), Omega(Lambda)) = (0.33, 0.67) using 22 SNe from this survey augmented by the literature compilation. We show that using the empty-beam model for gravitational lensing does not eliminate the need for Omega(Lambda) > 0. Experience from this survey indicates great potential for similar large-scale surveys while also revealing the limitations of performing surveys for z > 1 SNe from the ground.
dc.description.versionVersion of Record
dc.identifier.citationBarris, Brian J., John L. Tonry, Stephane Blondin, Peter Challis, Ryan Chornock, Alejandro Clocchiatti, Alexei V. Filippenko, et al. 2004. “Twenty‐Three High‐Redshift Supernovae from the Institute for Astronomy Deep Survey: Doubling the Supernova Sample Atz> 0.7.” The Astrophysical Journal 602 (2): 571–94. https://doi.org/10.1086/381122.
dc.identifier.doi10.1086/381122
dc.identifier.issn0004-637X
dc.identifier.issn1538-4357
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41399907*
dc.language.isoen_US
dc.publisherAmerican Astronomical Society
dc.relation.journalThe Astrophysical Journal
dc.titleTwenty‐Three High‐Redshift Supernovae from the Institute for Astronomy Deep Survey: Doubling the Supernova Sample at z > 0.7
dc.typeJournal Article
dspace.entity.typePublication
oaire.licenseConditionLAA

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