[CURATE] Dark matter constraints from dwarf galaxies: a data-driven LAT analysis

=== Record #5592836 ===
Title: Dark matter constraints from dwarf galaxies: a data-driven LAT analysis
DOI: 10.5281/zenodo.5592836
URL: https://zenodo.org/record/5592836
Python code to derive data-driven upper limits on the thermally averaged, velocity-weighted pair-annihilation cross-section (velocity-independent) of a user-defined particle dark matter model using the expected differential gamma-ray spectrum of pair-annihilation events (provided by the user) as well as 10 years of Fermi-LAT data from observations of the Milky Way´s dwarf spheroidal galaxies.

Software Package Checklist

• Stable Release
• Open-Source License
• Provide a pointer to your version control development platform (GitHub, GitLab...) (optional)
• Consider providing a container image (optional)
• Reasonable set of software development / software engineering practices
  • See for example: WOSSL docs, Research Software Engineers, or Netherlands eScience Center Guide
• Add a reasonably complete codemeta.json to your repository
  • Check the codemeta.json docs here
  • Check our metadata template
• the ESCAPE grant has been added in Zenodo metadata (if applies)

Onboarding Procedure Checklist

• Request an issue in the project platform to start the onboarding process by filling this registration form, or contacting a repository maintainer.
• A short onboarding presentation should be held during an FG1 call using this template, an example can be found in this talk. Please book your date in this poll.
• A technical report should be filed using this template, an example can be found at this tech report.