Tutorials

Tutorials are available as Jupyter notebooks, showing the usage of agilepy analysis classes using the test datesets installed in the package:

• Scientific Analysis Tutorials: they show the usage of agilepy AGAnalysis class to perform a scientific analysis for source detection and analysis.

  • Analysis of the VELA Region: Maximum Likelihood analysis of Vela region (Source Hypothesis, Background Estimation, MLE analysis and Light Curve)

  • Analysis of a 3C454.3 Flare: analysis of November’s 2010 gamma-ray flare of AGN 3C454.3.

  • Download and Analysis of PKS1510-089 flare: analysis of 2009 gamma-ray flare, showing the usage of Agilepy REST API to download data from SSDC.

  • AGILE Full-Sky Map in AITOFF Projection: how to produce a full sky AITOFF projection image.

  • Aperture Photometry Light Curve: Tutorial for computing the Aperture Photometry Light Curve using the 3C454.3 data.

• Wavelet analysis: it shows how to use the Agilepy’s wavelet analysis API.

• Bayesian Blocks analysis: run the Bayesian Blocks algorithm on AGILE light curves produced by Maximum Likelihood or Aperture Photometry algorithms, or on unbinnned data.

• Ratemeters analysis: Tutorial for the analysis of the Light Curves produced by the AGILE Scientific Ratemeters.

• Visibility analysis: Tutorial to compute the Off-axis angle of a source to check its visibility.

The Tutorials shown above can be downloaded in .ipynb format from: agilepy/notebooks/tutorial_notebooks.

You can check the available Jupyter servers with:

docker exec $CONTAINER_NAME /home/flareadvocate/.local/bin/jupyter server list

Analysis notebooks

The analysis notebooks are available at: agilepy/notebooks/analysis_notebooks. These notebooks have been developed for internal purposes of the AGILE Team. A template notebook is also provided to speed up the development of a new analysis notebook for AGILE Flare Advocate team.