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We 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…

We 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…

Cosmology and Nongalactic Astrophysics · Physics 2019-05-13 R. Kessler , D. Brout , C. B. D'Andrea , T. M. Davis , S. R. Hinton , A. G. Kim , J. Lasker , C. Lidman , E. Macaulay , A. Möller , M. Sako , D. Scolnic , M. Smith , M. Sullivan , B. Zhang , P. Andersen , J. Asorey , A. Avelino , J. Calcino , D. Carollo , P. Challis , M. Childress , A. Clocchiatti , S. Crawford , A. V. Filippenko , R. J. Foley , K. Glazebrook , J. K. Hoormann , E. Kasai , R. P. Kirshner , G. F. Lewis , K. S. Mandel , M. March , E. Morganson , D. Muthukrishna , P. Nugent , Y. -C. Pan , N. E. Sommer , E. Swann , R. C. Thomas , B. E. Tucker , S. A. Uddin , T. M. C. Abbott , S. Allam , J. Annis , S. Avila , M. Banerji , K. Bechtol , E. Bertin , D. Brooks , E. Buckley-Geer , D. L. Burke , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , M. Crocce , L. N. da Costa , C. Davis , J. De Vicente , S. Desai , H. T. Diehl , P. Doel , T. F. Eifler , B. Flaugher , P. Fosalba , J. Frieman , J. Garcia-Bellido , E. Gaztanaga , D. W. Gerdes , D. Gruen , R. A. Gruendl , G. Gutierrez , W. G. Hartley , D. L. Hollowood , K. Honscheid , D. J. James , M. W. G. Johnson , M. D. Johnson , E. Krause , K. Kuehn , N. Kuropatkin , O. Lahav , T. S. Li , M. Lima , J. L. Marshall , P. Martini , F. Menanteau , C. J. Miller , R. Miquel , B. Nord , A. A. Plazas , A. Roodman , E. Sanchez , V. Scarpine , R. Schindler , M. Schubnell , S. Serrano , I. Sevilla-Noarbe , M. Soares-Santos , F. Sobreira , E. Suchyta , G. Tarle , D. Thomas , A. R. Walker , Y. Zhang

Despite vast improvements in the measurement of the cosmological parameters, the nature of dark energy and an accurate value of the Hubble constant (H$_0$) in the Hubble-Lema\^itre law remain unknown. To break the current impasse, it is…

As part of the cosmology analysis using Type Ia Supernovae (SN Ia) in the Dark Energy Survey (DES), we present photometrically identified SN Ia samples using multi-band light-curves and host galaxy redshifts. For this analysis, we use the…

We predict cosmological constraints for forthcoming surveys using Superluminous Supernovae (SLSNe) as standardisable candles. Due to their high peak luminosity, these events can be observed to high redshift (z~3), opening up new…

Cosmology and Nongalactic Astrophysics · Physics 2016-01-27 Dario Scovacricchi , Robert C. Nichol , David Bacon , Mark Sullivan , Szymon Prajs

The Dark Energy Survey (DES) will use a new imaging camera on the Blanco 4-m telescope at CTIO to image 5000 square degrees of sky in the South Galactic Cap in four optical bands, and to carry out repeat imaging over a smaller area to…

The analysis of current and future cosmological surveys of type Ia supernovae (SNe Ia) at high-redshift depends on the accurate photometric classification of the SN events detected. Generating realistic simulations of photometric SN surveys…

We present $griz$ photometric light curves for the full 5 years of the Dark Energy Survey Supernova program (DES-SN), obtained with both forced Point Spread Function (PSF) photometry on Difference Images (DIFFIMG) performed during survey…

The Dark Energy Survey (DES; operations 2009-2015) will address the nature of dark energy using four independent and complementary techniques: (1) a galaxy cluster survey over 4000 deg2 in collaboration with the South Pole Telescope…

We present cosmological constraints from the sample of Type Ia supernovae (SN Ia) discovered during the full five years of the Dark Energy Survey (DES) Supernova Program. In contrast to most previous cosmological samples, in which SN are…

Cosmology and Nongalactic Astrophysics · Physics 2025-07-22 DES Collaboration , T. M. C. Abbott , M. Acevedo , M. Aguena , A. Alarcon , S. Allam , O. Alves , A. Amon , F. Andrade-Oliveira , J. Annis , P. Armstrong , J. Asorey , S. Avila , D. Bacon , B. A. Bassett , K. Bechtol , P. H. Bernardinelli , G. M. Bernstein , E. Bertin , J. Blazek , S. Bocquet , D. Brooks , D. Brout , E. Buckley-Geer , D. L. Burke , H. Camacho , R. Camilleri , A. Campos , A. Carnero Rosell , D. Carollo , A. Carr , J. Carretero , F. J. Castander , R. Cawthon , C. Chang , R. Chen , A. Choi , C. Conselice , M. Costanzi , L. N. da Costa , M. Crocce , T. M. Davis , D. L. DePoy , S. Desai , H. T. Diehl , M. Dixon , S. Dodelson , P. Doel , C. Doux , A. Drlica-Wagner , J. Elvin-Poole , S. Everett , I. Ferrero , A. Ferté , B. Flaugher , R. J. Foley , P. Fosalba , D. Friedel , J. Frieman , C. Frohmaier , L. Galbany , J. García-Bellido , M. Gatti , E. Gaztanaga , G. Giannini , K. Glazebrook , O. Graur , D. Gruen , R. A. Gruendl , G. Gutierrez , W. G. Hartley , K. Herner , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. Huterer , B. Jain , D. J. James , N. Jeffrey , E. Kasai , L. Kelsey , S. Kent , R. Kessler , A. G. Kim , R. P. Kirshner , E. Kovacs , K. Kuehn , O. Lahav , J. Lee , S. Lee , G. F. Lewis , T. S. Li , C. Lidman , H. Lin , U. Malik , J. L. Marshall , P. Martini , J. Mena-Fernández , F. Menanteau , R. Miquel , J. J. Mohr , J. Mould , J. Muir , A. Möller , E. Neilsen , R. C. Nichol , P. Nugent , R. L. C. Ogando , A. Palmese , Y. -C. Pan , M. Paterno , W. J. Percival , M. E. S. Pereira , A. Pieres , A. A. Plazas Malagón , B. Popovic , A. Porredon , J. Prat , H. Qu , M. Raveri , M. Rodríguez-Monroy , A. K. Romer , A. Roodman , B. Rose , M. Sako , E. Sanchez , D. Sanchez Cid , M. Schubnell , D. Scolnic , I. Sevilla-Noarbe , P. Shah , J. Allyn. Smith , M. Smith , M. Soares-Santos , E. Suchyta , M. Sullivan , N. Suntzeff , M. E. C. Swanson , B. O. Sánchez , G. Tarle , G. Taylor , D. Thomas , C. To , M. Toy , M. A. Troxel , B. E. Tucker , D. L. Tucker , S. A. Uddin , M. Vincenzi , A. R. Walker , N. Weaverdyck , R. H. Wechsler , J. Weller , W. Wester , P. Wiseman , M. Yamamoto , F. Yuan , B. Zhang , Y. Zhang

We describe a general analysis package for supernova (SN) light curves, called SNANA, that contains a simulation, light curve fitter, and cosmology fitter. The software is designed with the primary goal of using SNe Ia as distance…

Cosmological analyses of samples of photometrically-identified Type Ia supernovae (SNe Ia) depend on understanding the effects of 'contamination' from core-collapse and peculiar SN Ia events. We employ a rigorous analysis on…

The Dark Energy Survey is a stage III dark energy experiment, performing an optical imaging survey to measure cosmological equation of state parameters using four independent methods. The scope and complexity of the survey introduced…

Instrumentation and Methods for Astrophysics · Physics 2019-12-16 Eric H. Neilsen , James T. Annis , H. Thomas Diehl , Molly E. C. Swanson , Chris D'Andrea , Stephen Kent , Alex Drlica-Wagner

We describe the Dark Energy Survey (DES), a proposed optical-near infrared survey of 5000 sq. deg of the South Galactic Cap to ~24th magnitude in SDSS griz, that would use a new 3 sq. deg CCD camera to be mounted on the Blanco 4-m telescope…

Astrophysics · Physics 2012-08-27 The Dark Energy Survey Collaboration

The Supernova / Acceleration Probe (SNAP) is a proposed space-based experiment designed to study the dark energy and alternative explanations of the acceleration of the Universe's expansion by performing a series of complementary…

The nature of dark energy is of such fundamental importance -- yet such a mystery -- that a dedicated dark energy experiment should be as comprehensive and powerfully incisive as possible. The Supernova/Acceleration Probe robustly controls…

Astrophysics · Physics 2019-08-14 Eric V. Linder

We report results from the Supernova Photometric Classification Challenge (SNPCC), a publicly released mix of simulated supernovae (SNe), with types (Ia, Ibc, and II) selected in proportion to their expected rate. The simulation was…

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