DES Science Portal: Creating Science-Ready Catalogs
arXiv:1708.05642 · doi:10.1016/j.ascom.2018.01.002
Abstract
We present a novel approach for creating science-ready catalogs through a software infrastructure developed for the Dark Energy Survey (DES). We integrate the data products released 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. We describe how the DES Science Portal automates the creation and characterization of lightweight catalogs for DES Year 1 Annual Release, and show its flexibility in creating multiple catalogs with different inputs and configurations. Finally, we discuss the advantages of this infrastructure for large surveys such as DES and the Large Synoptic Survey Telescope. 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.
arXiv commentThe second paper of the series about the DES Science Portal, submitted to the Astronomy & Computing journal. It shows the infrastructure to create science-ready catalogs from DES photometric data and ancillary maps. This is the version accepted by the journal
References in corpus (29)
- Maps of Dust IR Emission for Use in Estimation of Reddening and CMBR Foregrounds
- Stellar population synthesis at the resolution of 2003
- The Sloan Digital Sky Survey: Technical Summary
- HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere
- The First Release COSMOS Optical and Near-IR Data and Catalog
- The 10 Meter South Pole Telescope
- Star counts in the Galaxy. Simulating from very deep to very shallow photometric surveys with the TRILEGAL code
- COSMOS : Hubble Space Telescope Observations
- SDSS Data Management and Photometric Quality Assessment
- Cosmological Constraints from Measurements of Type Ia Supernovae discovered during the first 1.5 years of the Pan-STARRS1 Survey
- Measuring the Redshift Evolution of Clustering: the Hubble Deep Field South
- TPZ : Photometric redshift PDFs and ancillary information by using prediction trees and random forests
- The Blanco Cosmology Survey: Data Acquisition, Processing, Calibration, Quality Diagnostics and Data Release
- Systematic Uncertainties Associated with the Cosmological Analysis of the First Pan-STARRS1 Type Ia Supernova Sample
- The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey
- ESO Imaging Survey. Deep Public Survey: Multi-Color Optical Data for the Chandra Deep Field South
- DNF - Galaxy photometric redshift by Directional Neighbourhood Fitting
- The SDSS-IV extended Baryonic Oscillation Spectroscopic Survey: Luminous Red Galaxy Target Selection
- An imaging K-band survey - I: The catalogue, star and galaxy counts
- Weighing the Giants II: Improved Calibration of Photometry from Stellar Colors and Accurate Photometric Redshifts
- The Dark Energy Survey Data Processing and Calibration System
- Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data
- Digging deeper into the Southern skies: a compact Milky-Way companion discovered in first-year Dark Energy Survey data
- The Theoretical Astrophysical Observatory: Cloud-Based Mock Galaxy Catalogues
- SDSS-IV eBOSS emission-line galaxy pilot survey
- Modelling the Transfer Function for the Dark Energy Survey
- The Oxford-Dartmouth Thirty Degree Survey I: Observations and Calibration of a Wide-Field Multi-Band Survey
- Assessing Galaxy Limiting Magnitudes in Large Optical Surveys
- TP-AGB stars to date high-redshift galaxies with the Spitzer Space Telescope