A package of utilities for reading, and applying image processing to Cherenkov Telescope Array (CTA) R1/DL0/DL1 data in a standardized format. Created primarily for testing machine learning image analysis techniques on IACT data.
Project description
A package of utilities for reading and applying image processing to Cherenkov Telescope Array Observatory (CTAO) R1/DL0/DL1 data in a standardized format. Created primarily for testing machine learning image analysis techniques on IACT data.
Currently supports ctapipe >= v6.0.0 data format.
Previously named image-extractor (v0.1.0 - v0.6.0). Currently under development, intended for internal use only.
Installation
The following installation method (for Linux) is recommended:
Installing as a conda package
To install dl1-data-handler as a conda package, first install Anaconda by following the instructions here: https://www.anaconda.com/distribution/.
The following command will set up a conda virtual environment, add the necessary package channels, and install dl1-data-handler specified version and its dependencies:
DL1DH_VER=0.14.3
wget https://raw.githubusercontent.com/cta-observatory/dl1-data-handler/v$DL1DH_VER/environment.yml
conda env create -n [ENVIRONMENT_NAME] -f environment.yml
conda activate [ENVIRONMENT_NAME]
conda install -c ctlearn-project dl1_data_handler=$DL1DH_VER
This should automatically install all dependencies (NOTE: this may take some time, as by default MKL is included as a dependency of NumPy and it is very large).
Links
Cherenkov Telescope Array Observatory (CTAO) - Homepage of the CTA Observatory
CTLearn and GammaLearn - Repository of code for studies on applying deep learning to IACT analysis tasks. Maintained by groups at Universidad Complutense de Madrid, University of Geneva (CTLearn) and LAPP (GammaLearn).
ctapipe - Official documentation for the ctapipe analysis package (in development)
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