The Dark Energy Survey: more than dark energy – an overview
Abstract
This overview article describes the legacy prospect and discovery potential of the Dark Energy Survey (DES) beyond cosmological studies, illustrating it with examples from the DES early data. DES is using a wide-field camera (DECam) on the 4m Blanco Telescope in Chile to image 5000 sq deg of the sky in five filters (grizY). By its completion the survey is expected to have generated a catalogue of 300 million galaxies with photometric redshifts and 100 million stars. In addition, a time-domain survey search over 27 sq deg is expected to yield a sample of thousands of Type Ia supernovae and other transients. The main goals of DES are to characterise dark energy and dark matter, and to test alternative models of gravity; these goals will be pursued by studying large scale structure, cluster counts, weak gravitational lensing and Type Ia supernovae. However, DES also provides a rich data set which allows us to study many other aspects of astrophysics. In this paper we focus on additional science with DES, emphasizing areas where the survey makes a difference with respect to other current surveys. The paper illustrates, using early data (from `Science Verification', and from the first, second and third seasonsmore »
- Authors:
- more »
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Argonne National Laboratory (ANL), Argonne, IL (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- Contributing Org.:
- DES Collaboration
- OSTI Identifier:
- 1456921
- Alternate Identifier(s):
- OSTI ID: 1244413; OSTI ID: 1334301; OSTI ID: 1336164
- Report Number(s):
- FERMILAB-PUB-16-003-AE; DES-2015-0085; arXiv:1601.00329; BNL-112728-2016-JA
Journal ID: ISSN 0035-8711; ark:/13030/qt1044s5k7; TRN: US1901261
- Grant/Contract Number:
- AC02-07CH11359; AC02-SF00515; SC0012704; AC02-06CH11357; AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Monthly Notices of the Royal Astronomical Society
- Additional Journal Information:
- Journal Volume: 460; Journal Issue: 2; Related Information: © 2016 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society.; Journal ID: ISSN 0035-8711
- Publisher:
- Royal Astronomical Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; surveys; galaxies; Galaxy; quasars; supernovae; minor plantes; asteroids; minor planets, asteroids: general; supernovae: general; galaxy: general; galaxies: general; quasars: general; minor plants, asteroids: general
Citation Formats
Abbott, T, Abdalla, FB, Aleksić, J, Allam, S, Amara, A, Bacon, D, Balbinot, E, Banerji, M, Bechtol, K, Benoit-Lï vy, A, Bernstein, GM, Bertin, E, Blazek, J, Bonnett, C, Bridle, S, Brooks, D, Brunner, RJ, Buckley-Geer, E, Burke, DL, Caminha, GB, Capozzi, D, Carlsen, J, Carnero-Rosell, A, Carollo, M, Carrasco-Kind, M, Carretero, J, Castander, FJ, Clerkin, L, Collett, T, Conselice, C, Crocce, M, Cunha, CE, D'Andrea, CB, da Costa, LN, Davis, TM, Desai, S, Diehl, HT, Dietrich, JP, Dodelson, S, Doel, P, Drlica-Wagner, A, Estrada, J, Etherington, J, Evrard, AE, Fabbri, J, Finley, DA, Flaugher, B, Foley, RJ, Fosalba, P, Frieman, J, Garcï a-Bellido, J, Gaztanaga, E, Gerdes, DW, Giannantonio, T, Goldstein, DA, Gruen, D, Gruendl, RA, Guarnieri, P, Gutierrez, G, Hartley, W, Honscheid, K, Jain, B, James, DJ, Jeltema, T, Jouvel, S, Kessler, R, King, A, Kirk, D, Kron, R, Kuehn, K, Kuropatkin, N, Lahav, O, Li, TS, and Lima, M. The Dark Energy Survey: more than dark energy – an overview. United States: N. p., 2016.
Web. doi:10.1093/mnras/stw641.
Abbott, T, Abdalla, FB, Aleksić, J, Allam, S, Amara, A, Bacon, D, Balbinot, E, Banerji, M, Bechtol, K, Benoit-Lï vy, A, Bernstein, GM, Bertin, E, Blazek, J, Bonnett, C, Bridle, S, Brooks, D, Brunner, RJ, Buckley-Geer, E, Burke, DL, Caminha, GB, Capozzi, D, Carlsen, J, Carnero-Rosell, A, Carollo, M, Carrasco-Kind, M, Carretero, J, Castander, FJ, Clerkin, L, Collett, T, Conselice, C, Crocce, M, Cunha, CE, D'Andrea, CB, da Costa, LN, Davis, TM, Desai, S, Diehl, HT, Dietrich, JP, Dodelson, S, Doel, P, Drlica-Wagner, A, Estrada, J, Etherington, J, Evrard, AE, Fabbri, J, Finley, DA, Flaugher, B, Foley, RJ, Fosalba, P, Frieman, J, Garcï a-Bellido, J, Gaztanaga, E, Gerdes, DW, Giannantonio, T, Goldstein, DA, Gruen, D, Gruendl, RA, Guarnieri, P, Gutierrez, G, Hartley, W, Honscheid, K, Jain, B, James, DJ, Jeltema, T, Jouvel, S, Kessler, R, King, A, Kirk, D, Kron, R, Kuehn, K, Kuropatkin, N, Lahav, O, Li, TS, & Lima, M. The Dark Energy Survey: more than dark energy – an overview. United States. https://doi.org/10.1093/mnras/stw641
Abbott, T, Abdalla, FB, Aleksić, J, Allam, S, Amara, A, Bacon, D, Balbinot, E, Banerji, M, Bechtol, K, Benoit-Lï vy, A, Bernstein, GM, Bertin, E, Blazek, J, Bonnett, C, Bridle, S, Brooks, D, Brunner, RJ, Buckley-Geer, E, Burke, DL, Caminha, GB, Capozzi, D, Carlsen, J, Carnero-Rosell, A, Carollo, M, Carrasco-Kind, M, Carretero, J, Castander, FJ, Clerkin, L, Collett, T, Conselice, C, Crocce, M, Cunha, CE, D'Andrea, CB, da Costa, LN, Davis, TM, Desai, S, Diehl, HT, Dietrich, JP, Dodelson, S, Doel, P, Drlica-Wagner, A, Estrada, J, Etherington, J, Evrard, AE, Fabbri, J, Finley, DA, Flaugher, B, Foley, RJ, Fosalba, P, Frieman, J, Garcï a-Bellido, J, Gaztanaga, E, Gerdes, DW, Giannantonio, T, Goldstein, DA, Gruen, D, Gruendl, RA, Guarnieri, P, Gutierrez, G, Hartley, W, Honscheid, K, Jain, B, James, DJ, Jeltema, T, Jouvel, S, Kessler, R, King, A, Kirk, D, Kron, R, Kuehn, K, Kuropatkin, N, Lahav, O, Li, TS, and Lima, M. Mon .
"The Dark Energy Survey: more than dark energy – an overview". United States. https://doi.org/10.1093/mnras/stw641. https://www.osti.gov/servlets/purl/1456921.
@article{osti_1456921,
title = {The Dark Energy Survey: more than dark energy – an overview},
author = {Abbott, T and Abdalla, FB and Aleksić, J and Allam, S and Amara, A and Bacon, D and Balbinot, E and Banerji, M and Bechtol, K and Benoit-Lï vy, A and Bernstein, GM and Bertin, E and Blazek, J and Bonnett, C and Bridle, S and Brooks, D and Brunner, RJ and Buckley-Geer, E and Burke, DL and Caminha, GB and Capozzi, D and Carlsen, J and Carnero-Rosell, A and Carollo, M and Carrasco-Kind, M and Carretero, J and Castander, FJ and Clerkin, L and Collett, T and Conselice, C and Crocce, M and Cunha, CE and D'Andrea, CB and da Costa, LN and Davis, TM and Desai, S and Diehl, HT and Dietrich, JP and Dodelson, S and Doel, P and Drlica-Wagner, A and Estrada, J and Etherington, J and Evrard, AE and Fabbri, J and Finley, DA and Flaugher, B and Foley, RJ and Fosalba, P and Frieman, J and Garcï a-Bellido, J and Gaztanaga, E and Gerdes, DW and Giannantonio, T and Goldstein, DA and Gruen, D and Gruendl, RA and Guarnieri, P and Gutierrez, G and Hartley, W and Honscheid, K and Jain, B and James, DJ and Jeltema, T and Jouvel, S and Kessler, R and King, A and Kirk, D and Kron, R and Kuehn, K and Kuropatkin, N and Lahav, O and Li, TS and Lima, M},
abstractNote = {This overview article describes the legacy prospect and discovery potential of the Dark Energy Survey (DES) beyond cosmological studies, illustrating it with examples from the DES early data. DES is using a wide-field camera (DECam) on the 4m Blanco Telescope in Chile to image 5000 sq deg of the sky in five filters (grizY). By its completion the survey is expected to have generated a catalogue of 300 million galaxies with photometric redshifts and 100 million stars. In addition, a time-domain survey search over 27 sq deg is expected to yield a sample of thousands of Type Ia supernovae and other transients. The main goals of DES are to characterise dark energy and dark matter, and to test alternative models of gravity; these goals will be pursued by studying large scale structure, cluster counts, weak gravitational lensing and Type Ia supernovae. However, DES also provides a rich data set which allows us to study many other aspects of astrophysics. In this paper we focus on additional science with DES, emphasizing areas where the survey makes a difference with respect to other current surveys. The paper illustrates, using early data (from `Science Verification', and from the first, second and third seasons of observations), what DES can tell us about the solar system, the Milky Way, galaxy evolution, quasars, and other topics. In addition, we show that if the cosmological model is assumed to be Λ+Cold Dark Matter (LCDM) then important astrophysics can be deduced from the primary DES probes. Furthermore, highlights from DES early data include the discovery of 34 Trans Neptunian Objects, 17 dwarf satellites of the Milky Way, one published z > 6 quasar (and more confirmed) and two published superluminous supernovae (and more confirmed).},
doi = {10.1093/mnras/stw641},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 2,
volume = 460,
place = {United States},
year = {Mon Mar 21 00:00:00 EDT 2016},
month = {Mon Mar 21 00:00:00 EDT 2016}
}
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Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology
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First Data Release of the All-sky NOAO Source Catalog
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Full-sky Ray-tracing Simulation of Weak Lensing Using ELUCID Simulations: Exploring Galaxy Intrinsic Alignment and Cosmic Shear Correlations
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Andromeda’s Parachute: A Bright Quadruply Lensed Quasar at z = 2.377
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RR Lyrae Variables in the Crater II Dwarf Galaxy
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First Release of High-redshift Superluminous Supernovae from the Subaru HIgh-Z SUpernova CAmpaign (SHIZUCA). II. Spectroscopic Properties
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A Comparison of Photometric Redshift Techniques for Large Radio Surveys
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Quantifying the smoothness of the stellar halo: A link to accretion history
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The Massive and Distant Clusters of WISE Survey. I. Survey Overview and a Catalog of >2000 Galaxy Clusters at z ≃ 1
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An Extended Catalog of Galaxy–Galaxy Strong Gravitational Lenses Discovered in DES Using Convolutional Neural Networks
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Speed from light: growth rate and bulk flow at z ~ 0.1 from improved SDSS DR13 photometry
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An R-process enhanced star in the dwarf galaxy Tucana III
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An Application of Multi-band Forced Photometry to One Square Degree of SERVS: Accurate Photometric Redshifts and Implications for Future Science
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The Hyper Suprime-Cam Software Pipeline
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The correlation between the sizes of globular cluster systems and their host dark matter haloes
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Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
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Extragalactic Radio Continuum Surveys and the Transformation of Radio Astronomy
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Automated Cross-identifying Radio to Infra-red Surveys Using the LRPY Algorithm: A Case Study
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Cluster Cosmology Constraints from the 2500 deg$^2$ SPT-SZ Survey: Inclusion of Weak Gravitational Lensing Data from Magellan and the Hubble Space Telescope
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The galaxy cluster mass scale and its impact on cosmological constraints from the cluster population
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RAPID: Early Classification of Explosive Transients using Deep Learning
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The Hyper Suprime-Cam SSP Transient Survey in COSMOS: Overview
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Projection effects in galaxy cluster samples: insights from X-ray redshifts
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Identification of RR Lyrae stars in multiband, sparsely-sampled data from the Dark Energy Survey using template fitting and Random Forest classification
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Producing a BOSS-CMASS sample with DES imaging
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The Southern Photometric Local Universe Survey (S-PLUS): improved SEDs, morphologies and redshifts with 12 optical filters
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The Hubble Catalog of Variables (HCV)
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Palomar Gattini-IR: Survey overview, data processing system, on-sky performance and first results
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