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Paper: Herschel PACS Integral Field Unit Data Visualization and Analysis: an ESAC Science Data Centre Notebook for ESA Datalabs
Page: 513
Authors: Puga, E.; Baines, D.; Fozzi, T.; Giordano, F.; López-Caniego, M.; Merín, B. A.; Norman, H.; Racero, E.; Royer, P.; Segovia, J. C.; Wangblad, M.
Abstract: ESAC Science Data Centre (ESDC) hosts a dozen of archives containing science data from over 20 space science missions and one of its primary goals is to maximize the scientific exploitation of ESA space science data sets. ESDC is set to provide example Jupyter notebooks with scientific workflows to guide novice users in the access to the different archives using dedicated tools (e.g. astroquery, pyesasky) and data analysis of discovery data sets. These notebooks are envisaged to live in the ESA Datalabs platform, a project that will allow scientists to write and execute code and processing pipelines on ESA infrastructure, with direct access to the data. The notebook we present in this communication showcases the access, exploration and analysis of Herschel PACS observations, as this instrument was the very first Integral Field Unit in space, with new Python manipulation (specutils, spectral-cube) and visualization tools (SpecViz, CubeViz) that have been developed in the context of future space observatories (JWST, WFIRST). This is an example of legacy mission spectroscopic data meeting bleeding-edge visualization and analysis tools, and a training arena for new tool early adoption using existing calibrated and consolidated ESA data products.
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