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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…

By introducing Crossing functions and hyper-parameters I show that the Bayesian interpretation of the Crossing Statistics [1] can be used trivially for the purpose of model selection among cosmological models. In this approach to falsify a…

Cosmology and Nongalactic Astrophysics · Physics 2012-05-24 Arman Shafieloo

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…

During the last decade, there has been an explosive growth in survey data and deep learning techniques, both of which have enabled great advances for astronomy. The amount of data from various surveys from multiple epochs with a wide range…

Instrumentation and Methods for Astrophysics · Physics 2021-02-08 Brandon Buncher , Awshesh Nath Sharma , Matias Carrasco Kind

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

The Dark Energy Survey (DES) is a next generation optical survey aimed at measuring the expansion history of the universe using four probes: weak gravitational lensing, galaxy cluster counts, baryon acoustic oscillations, and Type Ia…

PreCam, a precursor observational campaign supporting the Dark Energy Survey (DES), is designed to produce a photometric and astrometric catalog of nearly a hundred thousand standard stars within the DES footprint, while the PreCam…

The Dark Energy Survey (DES) is a 5000 sq deg griz imaging survey to be conducted using a proposed 3 sq deg (2.2deg-diameter) wide-field mosaic camera on the CTIO Blanco 4m telescope. The primary scientific goal of the DES is to constrain…

We introduce a new software package for modeling the point-spread function (PSF) of astronomical images, called Piff (PSFs In the Full FOV), which we apply to the first three years (known as Y3) of the Dark Energy Survey (DES) data. We…

Weak lensing by large-scale structure is a powerful technique to probe the dark components of the universe. To understand the measurement process of weak lensing and the associated systematic effects, image simulations are becoming…

Cosmology and Nongalactic Astrophysics · Physics 2016-01-27 Claudio Bruderer , Chihway Chang , Alexandre Refregier , Adam Amara , Joel Berge , Lukas Gamper

A key science goal of upcoming dark energy surveys is to seek time evolution of the dark energy. This problem is one of {\em model selection}, where the aim is to differentiate between cosmological models with different numbers of…

We consider the effect of future dark energy experiments on ``Albrecht-Skordis'' (AS) models of scalar field dark energy using the Monte-Carlo Markov chain method. We deal with the issues of parameterization of these models, and have…

Astrophysics · Physics 2010-04-08 Michael Barnard , Augusta Abrahamse , Andreas Albrecht , Brandon Bozek , Mark Yashar

We describe the first public data release of the Dark Energy Survey, DES DR1, consisting of reduced single epoch images, coadded images, coadded source catalogs, and associated products and services assembled over the first three years of…

Instrumentation and Methods for Astrophysics · Physics 2019-04-24 T. M. C. Abbott , F. B. Abdalla , S. Allam , A. Amara , J. Annis , J. Asorey , S. Avila , O. Ballester , M. Banerji , W. Barkhouse , L. Baruah , M. Baumer , K. Bechtol , M . R. Becker , A. Benoit-Lévy , G. M. Bernstein , E. Bertin , J. Blazek , S. Bocquet , D. Brooks , D. Brout , E. Buckley-Geer , D. L. Burke , V. Busti , R. Campisano , L. Cardiel-Sas , A. C arnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , R. Cawthon , C. Chang , X. Chen , C. Conselice , G. Costa , M. Crocce , C. E. Cunha , C. B. D'Andrea , L. N. da Costa , R. Das , G. Daues , T. M. Davis , C. Davis , J. De Vicente , D. L. DePoy , J. DeRose , S. Desai , H. T. Diehl , J. P. Dietrich , S. Dodelson , P. Doel , A. Drlica-Wagner , T. F. Eifler , A. E. Elliott , A. E. Evrard , A. Farahi , A. Fausti Neto , E. Fernandez , D. A. Finley , M. Fitzpatrick , B. Flaugher , R. J. Foley , P. Fosalba , D. N. Friedel , J. Frieman , J. García-Bellido , E. Gaz tanaga , D. W. Gerdes , T. Giannantonio , M. S. S. Gill , K. Glazebrook , D. A. Goldstein , M. Gower , D. Gruen , R. A. Gruendl , J. Gschwend , R. R. Gupta , G. Gutierrez , S. Hamilton , W. G. Hartley , S. R. Hinton , J. M. Hislop , D. Hollowood , K. Honscheid , B. Hoyle , D. Huterer , B. Jain , D. J. James , T. Jeltema , M. W. G. Johnson , M. D. Johnson , S. Juneau , T. Kacprzak , S. Kent , G. Khullar , M. Klein , A. Kovacs , A. M. G. Koziol , E. Krause , A. Kremin , R. Kron , K. Kuehn , S. Kuhlmann , N. Kuropatkin , O. Lahav , J. Lasker , T. S. Li , R. T. Li , A. R. Liddle , M. Lima , H. Lin , P. López-Reyes , N. MacCrann , M. A. G. Maia , J. D. Maloney , M. Manera , M. March , J. Marriner , J. L. Marshall , P. Martini , T. McClintock , T. McKay , R . G. McMahon , P. Melchior , F. Menanteau , C. J. Miller , R. Miquel , J. J. Mohr , E. Morganson , J. Mould , E. Neilsen , R. C. Nichol , D. Nidever , R. Nikutta , F. Nogueira , B. Nord , P. Nugent , L. Nunes , R. L. C. Ogando , L. Old , K. Olsen , A. B. Pace , A. Palmese , F. Paz-Chinchón , H. V. Peiris , W. J. Percival , D. Petravick , A. A. Plazas , J. Poh , C. Pond , A. Por redon , A. Pujol , A. Refregier , K. Reil , P. M. Ricker , R. P. Rollins , A. K. Romer , A. Roodman , P. Rooney , A. J. Ross , E. S. Rykoff , M. Sako , E. Sanchez , M. L. Sanchez , B. Santiago , A. Saro , V. Scarpine , D. Scolnic , A. Scott , S. Serrano , I. Sevilla-Noarbe , E. Sheldon , N. Shipp , M. L. Silveira , R. C. Smith , J. A. Smith , M. Smith , M. Soares-Santos , F. Sobre ira , J. Song , A. Stebbins , E. Suchyta , M. Sullivan , M. E. C. Swanson , G. Tarle , J. Thaler , D. Thomas , R. C. Thomas , M. A. Troxel , D. L. Tucker , V. Vikram , A. K. Vivas , A. R. Wal ker , R. H. Wechsler , J. Weller , W. Wester , R. C. Wolf , H. Wu , B. Yanny , A. Zenteno , Y. Zhang , J. Zuntz

In many cosmological inference problems, the likelihood (the probability of the observed data as a function of the unknown parameters) is unknown or intractable. This necessitates approximations and assumptions, which can lead to incorrect…

Cosmology and Nongalactic Astrophysics · Physics 2020-12-02 Niall Jeffrey , Justin Alsing , François Lanusse

Synthetic source injection (SSI), the insertion of sources into pixel-level on-sky images, is a powerful method for characterizing object detection and measurement in wide-field, astronomical imaging surveys. Within the Dark Energy Survey…

We present a method for generating suites of dark-matter halo catalogs with only a few $N$-body simulations, focusing on making small changes to the underlying cosmology of a simulation with high precision. In the context of blind…

Cosmology and Nongalactic Astrophysics · Physics 2019-03-26 Lehman H. Garrison , Daniel J. Eisenstein

Here we test different models of dark energy beyond the standard cosmological constant scenario. We start considering the CPL parameterization of the equation of state (EOS), then we consider a dark energy scalar field (Quintessense).…

High Energy Astrophysical Phenomena · Physics 2018-02-07 Marek Demianski , Ester Piedipalumbo , Disha Sawant , Lorenzo Amati