Speaker
Description
With the new generations of large-scale surveys, we are faced with an avalanche of data that are no longer “images” but “cubes”, and whose third dimension is either temporal or spectral. In this new area, traditional hierarchical science platform visualisation methods must evolve to exploit this third dimension.
Building on the Hierarchical Progressive Survey method – endorsed by the IVOA and standardized in 2017 – we present new results from a study and implementation of extending this visualisation method to a third physical dimension: the HiPS3D solution. We will explain the principles behind this generalization, the scientific and technical choices, and we will present the new prototype tools: Hipsgen for the generation and Aladin (Desktop & Lite) for the visualisation and integration in various science platform solutions. We will report on the first statistics obtained on test cube surveys: GalfaHI, SKA Challenge 2, MUSE excerpt, LGLSHI, DHIGLS. Finally, we will give an overview of the prospects for a large-scale implementation of this method for existing cubic surveys such as ALMA, or future ones such as SKA.
| Affiliation of the submitter | CDS - Observatoire Astronomique de Strasbourg |
|---|---|
| Attendance | in-person |