First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases
- Kessler, R.
- Brout, D.
- D'Andrea, C.B.
- Davis, T.M.
- Hinton, S.R.
- Kim, A.G.
- Lasker, J.
- Lidman, C.
- Macaulay, E.
- Möller, A.
- Sako, M.
- Scolnic, D.
- Smith, M.
- Sullivan, M.
- Zhang, B.
- Andersen, P.
- Asorey, J.
- Avelino, A.
- Calcino, J.
- Carollo, D.
- Challis, P.
- Childress, M.
- Clocchiatti, A.
- Crawford, S.
- Filippenko, A.V.
- Foley, R.J.
- Glazebrook, K.
- Hoormann, J.K.
- Kasai, E.
- Kirshner, R.P.
- Lewis, G.F.
- Mandel, K.S.
- March, M.
- Morganson, E.
- Muthukrishna, D.
- Nugent, P.
- Pan, Y.-C.
- Sommer, N.E.
- Swann, E.
- Thomas, R.C.
- Tucker, B.E.
- Uddin, S.A.
- Abbott, T.M.C.
- Allam, S.
- Annis, J.
- Avila, S.
- Banerji, M.
- Bechtol, K.
- Bertin, E.
- Brooks, D.
- Buckley-Geer, E.
- Burke, D.L.
- Carnero Rosell, A.
- Carrasco Kind, M.
- Carretero, J.
- Castander, F.J.
- Crocce, M.
- Da Costa, L.N.
- Davis, C.
- De Vicente, J.
- Desai, S.
- Diehl, H.T.
- Doel, P.
- Eifler, T.F.
- Flaugher, B.
- Fosalba, P.
- Frieman, J.
- García-Bellido, J.
- Gaztanaga, E.
- Gerdes, D.W.
- Gruen, D.
- Gruendl, R.A.
- Gutierrez, G.
- Hartley, W.G.
- Hollowood, D.L.
- Honscheid, K.
- James, D.J.
- Johnson, M.W.G.
- Johnson, M.D.
- Krause, E.
- Kuehn, K.
- Kuropatkin, N.
- Lahav, O.
- Li, T.S.
- Lima, M.
- Marshall, J.L.
- Martini, P.
- Menanteau, F.
- Miller, C.J.
- Miquel, R.
- Nord, B.
- Plazas, A.A.
- Roodman, A.
- Sanchez, E.
- Scarpine, V.
- Schindler, R.
- Schubnell, M.
- Serrano, S.
- Sevilla-Noarbe, I.
- Soares-Santos, M.
- Sobreira, F.
- Suchyta, E.
- Tarle, G.
- Thomas, D.
- Walker, A.R.
- Zhang, Y.
DOIAbstract
International audienceWe describe catalog-level simulations of Type Ia supernova (SN~Ia) light curves in the Dark Energy Survey Supernova Program (DES-SN), and in low-redshift samples from the Center for Astrophysics (CfA) and the Carnegie Supernova Project (CSP). These simulations are used to model biases from selection effects and light curve analysis, and to determine bias corrections for SN~Ia distance moduli that are used to measure cosmological parameters. To generate realistic light curves, the simulation uses a detailed SN~Ia model, incorporates information from observations (PSF, sky noise, zero point), and uses summary information (e.g., detection efficiency vs. signal to noise ratio) based on 10,000 fake SN light curves whose flu...
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