Speaker
Description
A key challenge for maximising Solar Orbiter science return is building an interoperable Python ecosystem for working with mission data, enabling rapid and reliable connections between observations from different instruments. Cross-instrument event catalogues are central to this, but creating catalogues that are accurate and usable by the wider community requires consistent event definitions, robust metadata, and reproducible workflows.
In this talk I will use solar flares as observed by STIX as a practical example for cross instrument catalogue development, showing how hard-X ray and EUV flare signatures can be combined with contextual observations to define key event parameters such as timing, localisation, and observational coverage. I will highlight how flare based catalogues can also support connections to coronal observations, including CME and off limb evolution seen by Metis, and the requirements for catalogues that enable both targeted case studies and statistical analyses. I will highlight how Python based tools, including SunPy, and community coordination can enable scalable workflows for cross instrument studies, from event discovery and data access through to catalogue building and analysis.
