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| Paper: |
Navigating ESA HST and JWST Science Archives Through Automated Jupyter Notebooks |
| Volume: |
541, ADASS XXXIII |
| Page: |
32 |
| Authors: |
Javier Espinosa; María Arévalo; Marcos López-Caniego |
| DOI: |
10.26624/FKTG4196 |
| Abstract: |
Efficient data access and analysis are crucial in the ever-expanding realm
of astrophysical research. This demonstration aims to showcase a comprehensive workflow for initiating and conducting research using the European Space Agency’s (ESA)
Hubble Space Telescope (HST) and James Webb Space Telescope (JWST) Science
Archives. Guidance is provided from the User Interfaces to advanced scripting, supporting researchers when navigating the vast data repositories from these missions. The
goal of this step is to construct complex queries that target specific celestial objects, time
periods, and data types, among many other filters. A step-by-step walkthrough highlights the direct integration of these queries into Jupyter Notebooks automatically generated on-the-fly in the User Interfaces, reducing the need for manual data extraction.
These notebooks come with essential code snippets for data retrieval, pre-processing,
and initial analysis. The automated notebooks provide a starting point for attendees
to embark on scientific exploration, facilitating archival data exploration and reducing
the entry barrier for researchers new to the archives. This approach not only empowers
researchers but also fosters collaborative and reproducible research practices within the
astrophysical community (e.g., integrating these Notebooks into ESA Datalabs). |
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