Euclid Q1 Tutorials

A series of tutorial Jupyter notebooks have been developed to facilitate access and use of Euclid Q1 (and ERO) data. These notebooks are available on the ESA Datalabs science platform, to which you can access as described here, enabling direct access to Euclid data, without requiring downloads. The notebooks can be modified to allow local data downloads, through the Euclid Astroquery module.

The tutorial notebooks can also be found on the ESA Datalabs GitHub page.

Available Tutorial Notebooks:

  • Data Access 

    This notebook demonstrates how to access Euclid data using the Euclid Astroquery package, a Python library that interacts with the Euclid Science Archive System. It provides examples of available Astroquery functions, including:loading tables, retrieving data products, performing cone searches, querying objects and launching jobs.

  • ADQL Queries 

    This notebook provides examples of ADQL queries for Euclid Q1 data. Users can access data directly on ESA Datalabs (using predefined paths) or download it for local analysis.

  • Cutouts 

    One of the most common tasks is creating cutouts of Euclid sources from image data. This notebook walks through generating cutouts from Euclid Q1 images, utilising Astroquery to match sources with corresponding files and generating cutouts directly within ESA Datalabs.

  • Source Extraction 

    This example demonstrates a simple source extraction task from Euclid images using the SEP Python package. It also includes steps to generate cutouts for the extracted sources.

  • Image Visualisation 

    This notebook explores different methods for visualising Euclid images: static visualisation using Matplotlib, interactive visualisation using imviz from Jdaviz, sky-based visualisation using pyESASky.

  • Spectra Visualisation 

    Retrieve and visualise spectra from the Euclid Q1 volume using: Matplotlib (for static plots) and Jdaviz (for interactive exploration) 

Disclaimer

Access to ESA Datalabs and the Euclid Q1 dataset is experimental. System stability is not guaranteed, and users may encounter issues typical of a platform still under development. Problems will be resolved on a best-effort basis. For critical work, users should rely on the Euclid Science Archive rather than ESA Datalabs.

Helpdesk

For any issues, help, or suggestions for improvements, please access the Euclid Helpdesk available here.