1708.05643
DES Science Portal: I - computing photometric redshifts
Gschwend, et al
Present the DES Science Portal, an integrated web-based data interface designed to facilitate scientific analysis. Demonstrate how the Portal can provide a reliable environment to access complete data sets, provide validation algorithms and metrics in the case of multiple methods and training configurations, and maintain the provenance between the different steps of a complex calculations, while ensuring reproducibility of the results. Use the estimation of DES photometric redshifts (photo-z's) as an example. A significant challenge facing photometric surveys for cosmological purposes, such as DES, is the need to produce reliable z estimates. The choice between competing algorithms and configurations and the maintenance of an up-to-date spectroscopic database to build training sets, for example, are complex tasks when dealing with large amounts of data that are regularly updated and constantly growing. Show how the DES Science Portal can be used to train and validate several photo-z algorithms using the DES first year (Y1A1) data. The photo-z's estimated in the Portal are used to feed the creation of catalogs for scientific workflows. While the DES collaboration is still developing techniques to obtain precise photo-z'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-z's in future DES releases.
1708.05642
DES Science Portal: II - Creating Science-Ready catalogs
Neto, et al
Present a novel approach for creating science-ready catalogs through a SW infrastructure developed for DES. Integrate the data products release by the DES Data Management and additional products created by the DES collaboration in an environment known as DES Science Portal. Each step involved in the creation of a science-ready catalog is recorded in a relational database and can be recovered at any time. Describe how the DES Science Portal automates the creation and characterization of lightweight catalogs for DES Y1 Annual Release, and show its flexibility in creating multiple catalogs with different inputs and configurations. Finally, discuss the advantages of this infrastructure for large surveys such as DES and LSST. The capability of creating science-ready catalogs efficiently and with full control of the inputs and configurations used is an important asset for supporting science analysis using data from large astronomical surveys.
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