asgardpy 0.2.0

Gammapy-based pipeline for easy joint analysis of different gamma-ray datasets

asgardpy []

Analysis Software for GAmma-Ray Data in Python

'User-friendly' configuration-centred pipeline built over Gammapy to allow for easy simultaneous analysis of various datasets of different formats. Example: 3D Fermi-LAT (with various source models in the Region of Interest stored in XML file) + 1D energy-dependent selection cut MAGIC/LST [PointSkyRegion geometry for ON region] + 1D fixed-cut VERITAS [CircleSkyRegion geometry for ON region].

Follow the documentation at https://asgardpy.readthedocs.io/en/latest/ for the main functionality of this pipeline. Follow the Gammapy v1.0 <https://docs.gammapy.org/1.0/>_ documentation for understanding the core Gammapy objects.

The various Data Levels used here follow the descriptions suggested by GADF v0.3 <https://gamma-astro-data-formats.readthedocs.io/en/latest/>_ and CTAO Data Model

Pipeline development

The pipeline was developed with first testing with Fermi-LAT (enrico <https://enrico.readthedocs.io/en/latest/>_ and fermipy <https://fermipy.readthedocs.io/en/latest/>) files and LST-1 (cta-lstchain <https://cta-observatory.github.io/cta-lstchain/>) DL3 files (with energy-dependent selection cuts) for point-like sources. The pipeline can be further expanded to support more types of DL3 files of gamma-ray instruments.

An example of configuration file that can be used with asgardpy can be found at asgardpy/config/template.yaml Examples of usage of asgardpy is shown in jupyter notebooks in notebooks/ but as there are no public test data included with the pipeline yet, the results are empty.

Pipeline Template

Pipeline generated based on the template by python-package-template.