PMO OpenIR
DES science portal: Computing photometric redshifts
Gschwend, J.1,2; Rossel, A. C.1,2; Ogando, R. L. C.1,2; Neto, A. F.2,3; Maia, M. A. G.1,2; da Costa, L. N.1,2; Lima, M.2,4; Pellegrini, P.1,2; Campisano, R.2,5; Singulani, C.1,2; Adean, C.2; Benoist, C.2,6; Aguena, M.2; Kind, M. Carrasco7,8; Davis, T. M.9,10; de Vicente, J.11; Hartley, W. G.12; Hoyle, B.13; Palmese, A.12,14; Sadeh, I15; Abbott, T. M. C.16; Abdalla, F. B.12,17; Allam, S.14; Annis, J.14; Asorey, J.9,10,18; Brooks, D.12; Calcino, J.9; Carollo, D.19; Castander, F. J.20,21; D'Andrea, C. B.22; Desai, S.23; Evrard, A. E.24,25; Fosalba, P.20,21; Frieman, J.14,26; Garcia-Bellido, J.27; Glazebrook, K.10,18; Gerdes, D. W.24,25; Gruendl, R. A.7,8; Gutierrez, G.14; Hinton, S.9,10; Hollowood, D. L.28; Honscheid, K.29,30; Hoormann, J. K.9; James, D. J.31; Kuehn, K.32; Kuropatkin, N.14; Lahav, O.12; Lewis, G.33; Lidman, C.32; Lin, H.14; Macaulay, E.34; Marshall, J.35,36; Melchior, P.37; Miguel, R.38,39; Moller, A.10,40; Plazas, A. A.41,42; Sanchez, E.11; Santiago, B.2,43; Scarpine, V14; Schindler, Z. H.44; Sevilla-Noarbe, I11; Smith, M.45; Sobreira, F.2,46; Sommer, N. E.10,40; Suchyta, E.47; Swanson, M. E. C.8; Tarle, G.25; Tucker, B. E.10,40; Tucker, D. L.14; Uddin, S.48; Walker, A. R.16
2018-10-01
Source PublicationASTRONOMY AND COMPUTING
ISSN2213-1337
Volume25Pages:58-80
Corresponding AuthorGschwend, J.(julia@linea.gov.br)
AbstractA significant challenge facing photometric surveys for cosmological purposes is the need to produce reliable redshift estimates. The estimation of photometric redshifts (photo-zs) has been consolidated as the standard strategy to bypass the high production costs and incompleteness of spectroscopic redshift samples. Training-based photo-z methods require the preparation of a high-quality list of spectroscopic redshifts, which needs to be constantly updated. The photo-z training, validation, and estimation must be performed in a consistent and reproducible way in order to accomplish the scientific requirements. To meet this purpose, we developed an integrated web-based data interface that not only provides the framework to carry out the above steps in a systematic way, enabling the ease testing and comparison of different algorithms, but also addresses the processing requirements by parallelizing the calculation in a transparent way for the user. This framework called the Science Portal (hereafter Portal) was developed in the context the Dark Energy Survey (DES) to facilitate scientific analysis. In this paper, we show how the Portal can provide a reliable environment to access vast datasets, provide validation algorithms and metrics, even in the case of multiple photo-zs methods. It is possible to maintain the provenance between the steps of a chain of workflows while ensuring reproducibility of the results. We illustrate how the Portal can be used to provide photo-z estimates using the DES first year (Y1A1) data. While the DES collaboration is still developing techniques to obtain more precise photo-zs, having a structured framework like the one presented here is critical for the systematic vetting of DES algorithmic improvements and the consistent production of photo-zs in future DES releases. (C) 2018 Elsevier B.V. All rights reserved.
KeywordAstronomical databases: catalogs, surveys Methods: data analysis Galaxies: distances and redshifts, statistics
DOI10.1016/j.ascom.2018.08.008
WOS KeywordVLT DEEP SURVEY ; SPECTROSCOPIC SURVEY ; CALIBRATION ; GALAXIES ; SPECTRA ; SAMPLES
Indexed BySCI
Language英语
WOS Research AreaAstronomy & Astrophysics ; Computer Science
WOS SubjectAstronomy & Astrophysics ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000451390700007
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/20817
Collection中国科学院紫金山天文台
Corresponding AuthorGschwend, J.
Affiliation1.Observ Nacl, Rua Gen Jose Cristino 77, BR-20921400 Rio de Janeiro, RJ, Brazil
2.Lab Interinst E Astron LIneA, Rua Gen Jose Cristino 77, BR-20921400 Rio de Janeiro, RJ, Brazil
3.LSST Project Management Off, Tucson, AZ USA
4.Univ Sao Paulo, Inst Fis, Dept Fis Matemat, CP 66318, BR-05314970 Sao Paulo, Brazil
5.Ctr Fed Educ Tecnol Celso Suckow Fonseca CEFET RJ, Av Maracana 229, BR-20271110 Rio De Janeiro, RJ, Brazil
6.Univ Cote dAzur, Observ Cote dAzur, Lab Lagrange, CNRS, Blvd Observ,CS 34229, F-06304 Nice 4, France
7.Univ Illinois, Dept Astron, 1002 W Green St, Urbana, IL 61801 USA
8.Natl Ctr Supercomp Applicat, 1205 West Clark St, Urbana, IL 61801 USA
9.Univ Queensland, Dept Math & Phys, Brisbane, Qld 4072, Australia
10.ARC Ctr Excellence All Sky Astrophys CAASTRO, Melbourne, Vic, Australia
11.Ctr Invest Energet Medioambientales & Tecnol CIEM, Avda Complutense 40, E-28040 Madrid, Spain
12.UCL, Dept Phys & Astron, London WC1E 6BT, England
13.Ludwig Maximilians Univ Munchen, Univ Sternwarte, Fak Phys, Scheinerstr 1, D-81679 Munich, Germany
14.Fermilab Natl Accelerator Lab, POB 500, Batavia, IL 60510 USA
15.DESY, Platanenallee 6, D-15738 Zeuthen, Germany
16.Natl Opt Astron Observ, Cerro Tololo Inter Amer Observ, Casilla 603, La Serena, Chile
17.Rhodes Univ, Dept Phys & Elect, POB 94, ZA-6140 Grahamstown, South Africa
18.Swinburne Univ Technol, Ctr Astrophys & Supercomp, POB 218, Hawthorn, Vic 3122, Australia
19.INAF Astrophys Observ Turin, Turin, Italy
20.IEEC, Barcelona 08193, Spain
21.CSIC, Inst Space Sci ICE, Campus UAB,Carrer Can Magrans S-N, Barcelona 08193, Spain
22.Univ Penn, Dept Phys & Astron, Philadelphia, PA 19104 USA
23.IIT Hyderabad, Dept Phys, Kandi 502285, Telangana, India
24.Univ Michigan, Dept Astron, Ann Arbor, MI 48109 USA
25.Univ Michigan, Dept Phys, Ann Arbor, MI 48109 USA
26.Univ Chicago, Kavli Inst Cosmol Phys, Chicago, IL 60637 USA
27.UAM, Inst Fis Teor, CSIC, Madrid 28049, Spain
28.Santa Cruz Inst Particle Phys, Santa Cruz, CA 95064 USA
29.Ohio State Univ, Ctr Cosmol & Astro Particle Phys, Columbus, OH 43210 USA
30.Ohio State Univ, Dept Astron, Columbus, OH 43210 USA
31.Harvard Smithsonian Ctr Astrophys, Cambridge, MA 02138 USA
32.Australian Astron Observ, N Ryde, NSW 2113, Australia
33.Univ Sydney, Sch Phys, Sydney Inst Astron, A28, Sydney, NSW 2006, Australia
34.Univ Portsmouth, Inst Cosmol & Gravitat, Portsmouth PO1 3FX, Hants, England
35.Texas A&M Univ, George P & Cynthia Woods Mitchell Inst Fundamenta, College Stn, TX 77843 USA
36.Texas A&M Univ, Dept Phys & Astron, College Stn, TX 77843 USA
37.Princeton Univ, Dept Astrophys Sci, Peyton Hall, Princeton, NJ 08544 USA
38.Inst Catalana Recerca & Estudis Avancats, E-08010 Barcelona, Spain
39.Barcelona Inst Sci & Technol, IFAE, Campus UAB, Bellaterra 08193, Barcelona, Spain
40.Australian Natl Univ, Res Sch Astron & Astrophys, Canberra, ACT 2611, Australia
41.CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA
42.Astron Soc Pacific, 100 N Main St,Suite 15, Edwarsville, IL 62025 USA
43.Univ Fed Rio Grande do Sul, Inst Fis, Caixa Postal 15051, BR-91501970 Porto Alegre, RS, Brazil
44.SLAC Natl Accelerator Lab, Menlo Pk, CA 94025 USA
45.Univ Southampton, Sch Phys & Astron, Southampton SO17 1BJ, Hants, England
46.Univ Estadual Campinas, Inst Fis Gleb Wataghin, BR-13083859 Campinas, SP, Brazil
47.Oak Ridge Natl Lab, Comp Sci & Math Div, Oak Ridge, TN 37831 USA
48.Chinese Acad Sci, Purple Mt Observ, Nanjing, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Gschwend, J.,Rossel, A. C.,Ogando, R. L. C.,et al. DES science portal: Computing photometric redshifts[J]. ASTRONOMY AND COMPUTING,2018,25:58-80.
APA Gschwend, J..,Rossel, A. C..,Ogando, R. L. C..,Neto, A. F..,Maia, M. A. G..,...&Walker, A. R..(2018).DES science portal: Computing photometric redshifts.ASTRONOMY AND COMPUTING,25,58-80.
MLA Gschwend, J.,et al."DES science portal: Computing photometric redshifts".ASTRONOMY AND COMPUTING 25(2018):58-80.
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