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First cosmology results using Type Ia supernova from the Dark Energy Survey: simulations to correct supernova distance biases

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First cosmology results using Type Ia supernova from the Dark Energy Survey : simulations to correct supernova distance biases. / DES Collaboration; D'Andrea, C. B.; MacAulay, E.; Swann, E.; Avila, S.; Thomas, D.

In: Monthly Notices of the Royal Astronomical Society, Vol. 485, No. 1, 01.05.2019, p. 1171-1187.

Research output: Contribution to journalArticle

Harvard

DES Collaboration, D'Andrea, CB, MacAulay, E, Swann, E, Avila, S & Thomas, D 2019, 'First cosmology results using Type Ia supernova from the Dark Energy Survey: simulations to correct supernova distance biases', Monthly Notices of the Royal Astronomical Society, vol. 485, no. 1, pp. 1171-1187. https://doi.org/10.1093/mnras/stz463

APA

DES Collaboration, D'Andrea, C. B., MacAulay, E., Swann, E., Avila, S., & Thomas, D. (2019). First cosmology results using Type Ia supernova from the Dark Energy Survey: simulations to correct supernova distance biases. Monthly Notices of the Royal Astronomical Society, 485(1), 1171-1187. https://doi.org/10.1093/mnras/stz463

Vancouver

DES Collaboration, D'Andrea CB, MacAulay E, Swann E, Avila S, Thomas D. First cosmology results using Type Ia supernova from the Dark Energy Survey: simulations to correct supernova distance biases. Monthly Notices of the Royal Astronomical Society. 2019 May 1;485(1):1171-1187. https://doi.org/10.1093/mnras/stz463

Author

DES Collaboration ; D'Andrea, C. B. ; MacAulay, E. ; Swann, E. ; Avila, S. ; Thomas, D. / First cosmology results using Type Ia supernova from the Dark Energy Survey : simulations to correct supernova distance biases. In: Monthly Notices of the Royal Astronomical Society. 2019 ; Vol. 485, No. 1. pp. 1171-1187.

Bibtex

@article{f242b42068694f8387dbc664f04651fb,
title = "First cosmology results using Type Ia supernova from the Dark Energy Survey: simulations to correct supernova distance biases",
abstract = "We describe catalogue-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 (point spread function, sky noise, zero-point), and uses summary information (e.g. detection efficiency versus signal-to-noise ratio) based on 10 000 fake SN light curves whose fluxes were overlaid on images and processed with our analysis pipelines. The quality of the simulation is illustrated by predicting distributions observed in the data. Averaging within redshift bins, we find distance modulus biases up to 0.05 mag over the redshift ranges of the low-z and DES-SN samples. For individual events, particularly those with extreme red or blue colour, distance biases can reach 0.4 mag. Therefore, accurately determining bias corrections is critical for precision measurements of cosmological parameters. Files used to make these corrections are available at https://des.ncsa.illinois.edu/releases/sn.",
keywords = "(cosmology:) dark energy, cosmology, supernovae, techniques",
author = "{DES Collaboration} and R. Kessler and D. Brout and D'Andrea, {C. B.} and Davis, {T. M.} and Hinton, {S. R.} and Kim, {A. G.} and J. Lasker and C. Lidman and E. MacAulay and A. M{\"o}ller and M. Sako and D. Scolnic and M. Smith and M. Sullivan and B. Zhang and P. Andersen and J. Asorey and A. Avelino and J. Calcino and D. Carollo and P. Challis and M. Childress and A. Clocchiatti and S. Crawford and Filippenko, {A. V.} and Foley, {R. J.} and K. Glazebrook and Hoormann, {J. K.} and E. Kasai and Kirshner, {R. P.} and Lewis, {G. F.} and Mandel, {K. S.} and M. March and E. Morganson and D. Muthukrishna and P. Nugent and Pan, {Y. C.} and Sommer, {N. E.} and E. Swann and Thomas, {R. C.} and Tucker, {B. E.} and Uddin, {S. A.} and Abbott, {T. M.C.} and S. Allam and J. Annis and S. Avila and M. Banerji and K. Bechtol and E. Bertin and D. Thomas",
year = "2019",
month = "5",
day = "1",
doi = "10.1093/mnras/stz463",
language = "English",
volume = "485",
pages = "1171--1187",
journal = "MNRAS",
issn = "0035-8711",
publisher = "Oxford University Press",
number = "1",

}

RIS

TY - JOUR

T1 - First cosmology results using Type Ia supernova from the Dark Energy Survey

T2 - simulations to correct supernova distance biases

AU - DES Collaboration

AU - Kessler, R.

AU - Brout, D.

AU - D'Andrea, C. B.

AU - Davis, T. M.

AU - Hinton, S. R.

AU - Kim, A. G.

AU - Lasker, J.

AU - Lidman, C.

AU - MacAulay, E.

AU - Möller, A.

AU - Sako, M.

AU - Scolnic, D.

AU - Smith, M.

AU - Sullivan, M.

AU - Zhang, B.

AU - Andersen, P.

AU - Asorey, J.

AU - Avelino, A.

AU - Calcino, J.

AU - Carollo, D.

AU - Challis, P.

AU - Childress, M.

AU - Clocchiatti, A.

AU - Crawford, S.

AU - Filippenko, A. V.

AU - Foley, R. J.

AU - Glazebrook, K.

AU - Hoormann, J. K.

AU - Kasai, E.

AU - Kirshner, R. P.

AU - Lewis, G. F.

AU - Mandel, K. S.

AU - March, M.

AU - Morganson, E.

AU - Muthukrishna, D.

AU - Nugent, P.

AU - Pan, Y. C.

AU - Sommer, N. E.

AU - Swann, E.

AU - Thomas, R. C.

AU - Tucker, B. E.

AU - Uddin, S. A.

AU - Abbott, T. M.C.

AU - Allam, S.

AU - Annis, J.

AU - Avila, S.

AU - Banerji, M.

AU - Bechtol, K.

AU - Bertin, E.

AU - Thomas, D.

PY - 2019/5/1

Y1 - 2019/5/1

N2 - We describe catalogue-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 (point spread function, sky noise, zero-point), and uses summary information (e.g. detection efficiency versus signal-to-noise ratio) based on 10 000 fake SN light curves whose fluxes were overlaid on images and processed with our analysis pipelines. The quality of the simulation is illustrated by predicting distributions observed in the data. Averaging within redshift bins, we find distance modulus biases up to 0.05 mag over the redshift ranges of the low-z and DES-SN samples. For individual events, particularly those with extreme red or blue colour, distance biases can reach 0.4 mag. Therefore, accurately determining bias corrections is critical for precision measurements of cosmological parameters. Files used to make these corrections are available at https://des.ncsa.illinois.edu/releases/sn.

AB - We describe catalogue-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 (point spread function, sky noise, zero-point), and uses summary information (e.g. detection efficiency versus signal-to-noise ratio) based on 10 000 fake SN light curves whose fluxes were overlaid on images and processed with our analysis pipelines. The quality of the simulation is illustrated by predicting distributions observed in the data. Averaging within redshift bins, we find distance modulus biases up to 0.05 mag over the redshift ranges of the low-z and DES-SN samples. For individual events, particularly those with extreme red or blue colour, distance biases can reach 0.4 mag. Therefore, accurately determining bias corrections is critical for precision measurements of cosmological parameters. Files used to make these corrections are available at https://des.ncsa.illinois.edu/releases/sn.

KW - (cosmology:) dark energy

KW - cosmology

KW - supernovae

KW - techniques

UR - http://www.scopus.com/inward/record.url?scp=85064465853&partnerID=8YFLogxK

U2 - 10.1093/mnras/stz463

DO - 10.1093/mnras/stz463

M3 - Article

AN - SCOPUS:85064465853

VL - 485

SP - 1171

EP - 1187

JO - MNRAS

JF - MNRAS

SN - 0035-8711

IS - 1

ER -

ID: 15846233