dl1-data-handler 0.14.9

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.

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

First, create and activate a fresh conda environment:

mamba create -n dl1dh -c conda-forge python==3.12 ctapipe
mamba activate dl1dh

The lastest version fo this package can be installed as a conda or pip package:

mamba install ctlearn-project::dl1_data_handler

or

pip install dl1-data-handler

Installing as a conda package

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).

Developers

We welcome contributions to this package! If you’re interested in contributing, please make sure to follow the ctapipe developer guidelines.

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)