16 Science Archive System

16.1 Introduction and overview

The Euclid Science Archive, described in de Teodoro et al. (2017) has been designed to curate the validated data produced by the Euclid Science Ground Segment (SGS) for the scientific community. In particular, it provides organised access to calibrated and stacked images of VIS and NIR, MER mosaics in all bands, SIR spectra as well as catalogues of MER (Euclid primary catalogue), PHZ (photo-z), and SPE (spectrocopy) in several tables. The Science Archive supports standard Virtual Observatory protocols, ensuring interoperability with external tools and archives. In particular, it provides a TAP+ (Table Access Protocol) service enabling Astronomical Data Query Language-based queries (ADQL) on large catalogues. TAP+ is an extension (Salgado et al. 2017) of the IVOA TAP standard (Dowler et al. 2019). Programmatic access is available through a module within Astroquery (Ginsburg et al. 2019), allowing automated queries, metadata inspection, and bulk data retrieval in Python workflows. The Euclid Science Archive therefore provides the data discovery and retrieval layer for the validated products of a given data release. These archive services are integrated with visualisation and scientific analysis capabilities through the Euclid Data Space.

The Euclid Data Space provides the user-facing environment for accessing and exploiting the scientific data products delivered by the Euclid SGS. While the EAS supports data man- agement and traceability throughout the processing system, and the Science Archive publishes the final validated products, the Euclid Data Space brings together data discovery, visualisation, and analysis capabilities through a common entry point. It therefore provides the interface between the products generated by the SGS and their scientific analysis by the Euclid community. The Euclid Data Space integrates three main ESA services: the Euclid Science Archive, ESASky, and ESA Datalabs. The Science Archive provides the data-discovery layer, including catalogue access through Virtual Observatory protocols and ADQL queries. ESASky enables interactive visualisation of Euclid observations and their exploration in the context of other astronomical data sets. ESA Datalabs provides the computational environment in which users can execute software and Jupyter notebooks close to the Euclid data. Together, these services support workflows spanning data discovery, visualisation, and programmatic analysis while reducing the need to transfer large data volumes to local computing facilities. The integration of the Science Archive and ESA Datalabs is particularly important given the volume of data produced by Euclid (e.g. 1.7 PB for DR1), allowing scientific workflows to operate on archive data within the ESA infrastructure. Programmatic archive access, including through Astroquery, can be combined with direct access to data files from analysis applications. Persistent personal workspaces and shared workspaces support individual and collaborative analyses, while the analysis environments provide commonly used astronomical packages and mission-specific tools. For DR1, these capabilities are complemented by documentation and Jupyter notebook examples covering common workflows such as catalogue queries, access to images and spectra, production of cutouts, and subsequent scientific analysis. The public release of DR1 also marks the launch of the Euclid Data Space to the wider astronomical community, completing the end-to-end Euclid data flow described in this paper: the SGS transforms raw observations into calibrated and validated scientific products, the EAS preserves their metadata and processing provenance, and the Science Archive publishes the validated products of a data release, which can then be discovered, visualised, accessed, and analysed through the integrated services provided by the Euclid Data Space.