2020-11-08, 14:35–14:35, Posters
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 Jupyter notebooks with scientific workflows to guide beginner users in the usage of the different python interfaces to the different archives (e.g. via astroquery, pyesasky...) and data analysis of discovery datasets. These notebooks are envisaged to live in the ESA Datalabs platform, a project that will allow scientist to write and execute code and processing pipelines on ESA infrastructure, with direct access to the data.
The first of these ESDC notebooks showcases the use of Herschel PACS observations, as this instrument was the very first Integral Field Unit in space between 2009 and 2013, 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 visualisation and analysis tools, and a training arena for new tool's early adoption using existing calibrated and consolidated ESA data products.