This documentation demonstrates how to access and use high-energy observations and catalogs served by the NASA High Energy Astrophysics Science Research Archive Center (HEASARC) through easy-to-use Python notebooks. We aim to give every astrophysicist the skills required to make use of high-energy data for their particular research interests and extract even more scientific value from the missions archived by HEASARC.
---
maxdepth: 2
hidden: true
---
about/about_index
---
maxdepth: 2
caption: Developing skills with HEASARC services
---
tutorials/heasarc_service_skills/heasarc_data/heasarc_data_index
tutorials/heasarc_service_skills/heasarc_catalogs/heasarc_catalogs_index
---
maxdepth: 2
caption: Mission specific tutorials
---
tutorials/mission_specific_analyses/nustar/nustar_index
tutorials/mission_specific_analyses/rxte/rxte_index
tutorials/mission_specific_analyses/nicer/nicer_index
tutorials/mission_specific_analyses/ixpe/ixpe_index
tutorials/mission_specific_analyses/swift/swift_index
tutorials/mission_specific_analyses/rosat/rosat_index
---
maxdepth: 2
caption: Useful high-energy tools
---
tutorials/useful_high_energy_tools/heasoftpy/heasoftpy_index
tutorials/useful_high_energy_tools/pysas/pysas_index
Authors - HEASARC scientists and developers.
Contact - HEASARC Helpdesk with questions, problems, and suggestions.
Issues - We encourage users to open issues in this repository (https://github.com/HEASARC/heasarc-tutorials), both with problems and ideas for improvements.
Another NASA archive center that maintains its own set of tutorials, related mostly to the access and use of infrared observations:
- GitHub - https://github.com/Caltech-IPAC/irsa-tutorials
- Website - https://caltech-ipac.github.io/irsa-tutorials/
Our HEASARC tutorial infrastructure is heavily inspired by the IRSA-tutorials repository; we chose to follow their example and try to conform to 'Scientific Python' principles.
Another NASA archive center that maintains its own set of tutorials, related mostly to using optical and UV observations: