Show simple item record

dc.contributor.authorBernstein, J. P.
dc.contributor.authorKessler, R.
dc.contributor.authorKuhlmann, S.
dc.contributor.authorBiswas, R.
dc.contributor.authorKovacs, E.
dc.contributor.authorAldering, G.
dc.contributor.authorCrane, I.
dc.contributor.authorD'Andrea, C. B.
dc.contributor.authorFinley, D. A.
dc.contributor.authorFrieman, J. A.
dc.contributor.authorHufford, T.
dc.contributor.authorJarvis, M.J.
dc.contributor.authorKim, A. G.
dc.contributor.authorMarriner, J.
dc.contributor.authorMukherjee, P.
dc.contributor.authorNichol, R.C.
dc.contributor.authorNugent, P.
dc.contributor.authorParkinson, D.
dc.contributor.authorReis, R. R. R.
dc.contributor.authorSako, M.
dc.contributor.authorSpinka, H.
dc.contributor.authorSullivan, M.
dc.date.accessioned2012-08-02T15:00:59Z
dc.date.available2012-08-02T15:00:59Z
dc.date.issued2012-07-10
dc.identifier.citationBernstein , J P , Kessler , R , Kuhlmann , S , Biswas , R , Kovacs , E , Aldering , G , Crane , I , D'Andrea , C B , Finley , D A , Frieman , J A , Hufford , T , Jarvis , M J , Kim , A G , Marriner , J , Mukherjee , P , Nichol , R C , Nugent , P , Parkinson , D , Reis , R R R , Sako , M , Spinka , H & Sullivan , M 2012 , ' Supernova simulations and strategies for the dark energy survey. ' , The Astrophysical journal , vol. 753 , no. 2 , 152 . https://doi.org/10.1088/0004-637X/753/2/152
dc.identifier.issn0004-637X
dc.identifier.otherPURE: 961921
dc.identifier.otherPURE UUID: 144197c0-cc5a-40a6-8bb8-ea767cabbffd
dc.identifier.otherWOS: 000305912700059
dc.identifier.otherScopus: 84862841355
dc.identifier.urihttp://hdl.handle.net/2299/8781
dc.description.abstractWe present an analysis of supernova light curves simulated for the upcoming Dark Energy Survey (DES) supernova search. The simulations employ a code suite that generates and fits realistic light curves in order to obtain distance modulus/redshift pairs that are passed to a cosmology fitter. We investigated several different survey strategies including field selection, supernova selection biases, and photometric redshift measurements. Using the results of this study, we chose a 30 deg(2) search area in the griz filter set. We forecast (1) that this survey will provide a homogeneous sample of up to 4000 Type Ia supernovae in the redshift range 0.05 < z < 1.2 and (2) that the increased red efficiency of the DES camera will significantly improve high-redshift color measurements. The redshift of each supernova with an identified host galaxy will be obtained from spectroscopic observations of the host. A supernova spectrum will be obtained for a subset of the sample, which will be utilized for control studies. In addition, we have investigated the use of combined photometric redshifts taking into account data from both the host and supernova. We have investigated and estimated the likely contamination from core-collapse supernovae based on photometric identification, and have found that a Type Ia supernova sample purity of up to 98% is obtainable given specific assumptions. Furthermore, we present systematic uncertainties due to sample purity, photometric calibration, dust extinction priors, filter-centroid shifts, and inter-calibration. We conclude by estimating the uncertainty on the cosmological parameters that will be measured from the DES supernova data.en
dc.format.extent25
dc.language.isoeng
dc.relation.ispartofThe Astrophysical journal
dc.titleSupernova simulations and strategies for the dark energy survey.en
dc.contributor.institutionSchool of Physics, Astronomy and Mathematics
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Astrophysics Research
dc.description.statusPeer reviewed
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1088/0004-637X/753/2/152
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record