Big data exploration: a hierarchical visualisation solution for cubic surveys

P10
12 Nov 2025, 11:45
15m
Synagoge

Synagoge

Görlitz
oral presentation Science platforms in the big data era Plenary Session 10

Speaker

Pierre Fernique (CDS - Observatoire Astronomique de Strasbourg)

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

Primary author

Pierre Fernique (CDS - Observatoire Astronomique de Strasbourg)

Co-authors

Caroline Bot (CDS - Observatoire Astronomique de Strasbourg) François-Xavier Pineau (CDS - Observatoire Astronomique de Strasbourg) Mark Allen (CNRS/CDS) Matthieu Baumann (CDS, Astronomical Observatory of Strasbourg) Thomas Boch (CDS - Observatoire astronomique de Strasbourg)

Presentation materials