Mireille Louys

I am a computer scientist specialized in image processing and observational data distribution . I have been involved in the Virtual Observatory project for data modeling and the elaboration of semantics . I collaborated with the MUSE project for the analysis and fusion of data cubes. I was involved in the plug-in visualisation package for hyper spectral cubes QuickViz in former versions of the Aladin Viewer API.

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Affiliation – CDS and ICube Laboratory, University of Strasbourg Position – Assistant professor Homepage – http://images.icube.unistra.fr/en/index.php/Image_Processing_for_Space_and_Earth_Observations


Radio Astronomy visibility data discovery and access using IVOA standards

Radio astronomical archives for large facilities (VLA, ASKAP, LOFAR, JIVE, MeerKAT) used to mostly store raw or calibrated visibility data . However, the situation is changing and some facilities (e.g. ALMA), store and distribute science ready data. This will also be the case for future radio telescopes, like SKA, where calibrated and imaged data products will be provided. Naturally, the major goal of these archives is to make their data discoverable and accessible to the astronomy community. Today, many archives give access to visibility data with project-specific web interfaces in order to allow users to reprocess the data with fine tuned reduction parameters.
Science platforms such as ESAP developed within the ESCAPE (\footnote{
https://projectescape.eu/}) project will allow this.
IVOA decided to make integration of radio astronomy data in the Virtual Observatory (VO) a science priority. Various radio astronomers and projects (NRAO, ASKAP, LOFAR, JIVE, ALMA, SKA, INAF, NenuFAR \footnote{https://nenufar.obs-nancay.fr/en/homepage-en/}, etc.) joined the Radio Astronomy Interest Group of the IVOA, which was recently founded. Together they are paving the way to a better integration of their services in the VO infrastructure and are proposing evolution of IVOA standards to help achieving this goal.

In this context CDS created a prototype for exposing visibility data observations, split in a consistent list of datasets in an ObsTAP service, for coarse grain discovery. Additional metadata such as number of antennae, frequency ranges, uv_density plots, frequency-phase and frequency-amplitude plots, primary and synthesized beams are also provided either by adding column metadata or by using the DataLink technique (\footnote{http://www.ivoa.net/documents/DataLink/}).

This presentation describes the process of metadata integration in the system, explores how to extend the ObsCore data model specification for radio visibility data and details the choices which have been made. We furthermore show results of data selections through various VO applications. We conclude with the possible evolutions of the prototype and lessons learnt from this exercise.
authors :
Mireille Louys, Katarina Lutz, Yelena Stein, Anaïs Egner and François Bonnarel

Practical Provenance in Astronomy

Recently the IVOA released a standard to structure provenance metadata and several implementations are in development in order to capture, store, access and visualize the provenance of astronomy data products. This BoF will be focused on practical needs for provenance in astronomy. A growing number of projects express the requirement to propose FAIR data (Findable, Accessible, Interoperable and Reusable) and thus manage provenance information to ensure the quality, reliability and trustworthiness of this data. The concepts are in place, but now, applied specifications and practical tools are needed to answer concrete use cases. We propose to discuss which strategies are considered by your projects (observatories or data providers) to capture provenance in your context and how you consider a end-user might query the provenance information to enhance her/his data selection and retrieval. The objective is to identify the development of tools and formats now needed to make provenance more practical.

If you are interested to participate in this BoF on provenance, please fill-in this questionnaire: https://frama.link/vqMBEqJg

This BoF is intended to be an open discussion. Except a short introduction, there will be no presentation, but you can find detailed presentations given in September during a provenance workshop within the ESCAPE European project, here is the summary (with access to all contributions): https://indico.in2p3.fr/event/21913/page/2641-summary

For more details on the IVOA Provenance Data Model, the recommendation is accessible here: https://www.ivoa.net/documents/ProvenanceDM