DES science portal: Computing photometric redshifts
文献类型：期刊论文
| 作者 | 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 |
| 刊名 | ASTRONOMY AND COMPUTING
 |
| 出版日期 | 2018-10-01 |
| 卷号 | 25页码:58-80 |
| 关键词 | Astronomical databases: catalogs, surveys Methods: data analysis Galaxies: distances and redshifts, statistics |
| ISSN号 | 2213-1337 |
| DOI | 10.1016/j.ascom.2018.08.008 |
| 通讯作者 | Gschwend, J.(julia@linea.gov.br) |
| 英文摘要 | A 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. |
| WOS关键词 | VLT DEEP SURVEY ; SPECTROSCOPIC SURVEY ; CALIBRATION ; GALAXIES ; SPECTRA ; SAMPLES |
| WOS研究方向 | Astronomy & Astrophysics ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000451390700007 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://libir.pmo.ac.cn/handle/332002/20816]  |
| 专题 | 中国科学院紫金山天文台 |
| 通讯作者 | Gschwend, J. |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：紫金山天文台
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