astroAI

You may clone the repository and move into its root directory to work.

Step1:

git clone git@github.com:ambra-dipiano/astroAI.git

Step2:

cd astroAI

Environment

This software uses mamba for managing environments. You are free to use a different solution though compatibility is not guaranteed. Once you have installed and activated mamba you can proceed with creating the environment.

Step1:

mamba create -n astroai

Step2:

mamba activate astroai

Step3:

mamba install -f environment.yml

Installation

Once the environment is created and activate, you may install the software.

pip install .

Alternatively you may install in editable mode.

pip install -e .

Datasets

To run this code you are required to provide DL3 simulations in a compatible FITS format:

• simulation with gammapy
• simulation with ctools
• provided sample datasets simulations_dataset_v1

Using this code

• You can preprocess data using the instructions in the dedicated README.
• You can train models anew following the instructions in the dedicated README or use the provided cnn_models_v1.
• You can compare the resuts with the reference real-time analysis pipeline following the instructions in the dedicated README.

Configurations

• A commented configuration template for preprocessing and model training is provided here: template_cnn.yml.
• A commented configuration template to execute the reference rtal-time analysis pipeline is provided here: template_gp.yml.