Implementation of first versions of the visualisation webapp
Integration of the webapp at ESAC. Demonstration presented to GACS operations team via webex.
Ingestion of the Gaia Rehearsal data gbins in the visualisation database.
Creation and serving of visualisations based on the Gaia Rehearsal dataset
Design of new more scalable algorithms for computing visualisations and serving levels of detail at much higher speeds than the previous approach.
A new physical machine is about to made available by ESAC/GACS for visualisation. This will allow computing and serving visualisations of the scale of the full Gaia catalogue. Migration to new machine is starting just after the end of this reporting period. Several telecons with the GACS team at ESAC.
T4.3 - Data Mining
Validation of data conversion tool from ASCII to Parquet to be used in all catalogues to be ingested into the Data Lake
Final results on the Grand Challenge Use case (IMF-SFR characterization).