Repository for the high level analysis of the LST.
The analysis is heavily based on ctapipe, adding
6997
custom code for mono reconstruction.
master branch status:
ctapipe and lstchain are currently undergoing heavy and rapid changes.
The core developer team is trying to stay up-to-date with the master version of ctapipe before reaching ctapipe v0.7 release.
You might experience some issues if changes have been merged in ctapipe master before we could integrate these changes in lstchain. We are sorry for that. Do not hesitate to submit an issue or propose a patch through a pull request.
- The basic functions of lstchain (reduction steps R0-->DL1 and DL1-->DL2) are unit tested and should be working as long as the build status is passing.
- However, the notebooks are not and might not be up-to-date before stable release. Do not rely on them for now.
Old install procedure: If you are a user and don't already have ctapipe installed:
conda env create -f environment.yml source activate ctaThis will create a conda environment called
ctaand install ctapipe with all dependencies.
Then you can install the
lstchainin this environment with:python setup.py install
Current lstchain build uses ctapipe master version.
Here is how you should install:
git clone https://github.com/cta-observatory/cta-lstchain.git
cd cta-lstchain
conda env create --name cta --file environment.yml
conda activate cta
pip install https://github.com/cta-observatory/ctapipe/archive/master.tar.gz
pip install https://github.com/cta-sst-1m/protozfitsreader/archive/v1.4.2.tar.gz
pip install https://github.com/cta-observatory/ctapipe_io_lst/archive/master.tar.gz
pip install -e .
All contribution are welcomed.
Guidelines are the same as ctapipe's ones See here how to make a pull request to contribute.
Use GitHub Issues.