000411437 001__ 411437 000411437 005__ 20250717101424.0 000411437 0247_ $$2doi$$a10.1016/j.ascom.2018.08.008 000411437 0247_ $$2ISSN$$a2213-1337 000411437 0247_ $$2ISSN$$a2213-1345 000411437 0247_ $$2altmetric$$aaltmetric:48116072 000411437 0247_ $$2inspire$$ainspire:1654411 000411437 0247_ $$2WOS$$aWOS:000451390700007 000411437 0247_ $$2datacite_doi$$a10.3204/PUBDB-2018-03718 000411437 0247_ $$2openalex$$aopenalex:W2749768739 000411437 037__ $$aPUBDB-2018-03718 000411437 041__ $$aEnglish 000411437 082__ $$a520 000411437 1001_ $$0P:(DE-HGF)0$$aGschwend, J.$$b0$$eCorresponding author 000411437 245__ $$aDES science portal: Computing photometric redshifts 000411437 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2018 000411437 3367_ $$2DRIVER$$aarticle 000411437 3367_ $$2DataCite$$aOutput Types/Journal article 000411437 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1586433939_23167 000411437 3367_ $$2BibTeX$$aARTICLE 000411437 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000411437 3367_ $$00$$2EndNote$$aJournal Article 000411437 500__ $$a© Elsevier B.V. 000411437 520__ $$aA significant challenge facing photometric surveys for cosmological purposes is the need to produce reliable redshift estimates. The estimation of photometric redshifts (photo-s) has been consolidated as the standard strategy to bypass the high production costs and incompleteness of spectroscopic redshift samples. Training-based photo- methods require the preparation of a high-quality list of spectroscopic redshifts, which needs to be constantly updated. The photo- 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-s 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- estimates using the DES first year (Y1A1) data. While the DES collaboration is still developing techniques to obtain more precise photo-s, 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. 000411437 536__ $$0G:(DE-HGF)POF3-613$$a613 - Matter and Radiation from the Universe (POF3-613)$$cPOF3-613$$fPOF III$$x0 000411437 588__ $$aDataset connected to CrossRef 000411437 693__ $$0EXP:(DE-H253)CTA-20150101$$5EXP:(DE-H253)CTA-20150101$$eCherenkov Telescope Array$$x0 000411437 7001_ $$aRossel, A. C.$$b1 000411437 7001_ $$aOgando, R. L. C.$$b2 000411437 7001_ $$aNeto, A. F.$$b3 000411437 7001_ $$aMaia, M. A. G.$$b4 000411437 7001_ $$ada Costa, L. N.$$b5 000411437 7001_ $$aLima, M.$$b6 000411437 7001_ $$aPellegrini, P.$$b7 000411437 7001_ $$00000-0001-9404-8686$$aCampisano, R.$$b8 000411437 7001_ $$aSingulani, C.$$b9 000411437 7001_ $$aAdean, C.$$b10 000411437 7001_ $$aBenoist, C.$$b11 000411437 7001_ $$aAguena, M.$$b12 000411437 7001_ $$00000-0002-4802-3194$$aCarrasco Kind, M.$$b13 000411437 7001_ $$00000-0002-4213-8783$$aDavis, T. M.$$b14 000411437 7001_ $$ade Vicente, J.$$b15 000411437 7001_ $$aHartley, W. G.$$b16 000411437 7001_ $$aHoyle, B.$$b17 000411437 7001_ $$aPalmese, A.$$b18 000411437 7001_ $$0P:(DE-H253)PIP1006066$$aSadeh, I.$$b19$$udesy 000411437 7001_ $$aAbbott, T. M. C.$$b20 000411437 7001_ $$aAbdalla, F. B.$$b21 000411437 7001_ $$aAllam, S.$$b22 000411437 7001_ $$00000-0002-0609-3987$$aAnnis, J.$$b23 000411437 7001_ $$aAsorey, J.$$b24 000411437 7001_ $$aBrooks, D.$$b25 000411437 7001_ $$aCalcino, J.$$b26 000411437 7001_ $$aCarollo, D.$$b27 000411437 7001_ $$aCastander, F. 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