IN_hls4ml

Installation of packages

conda env create -f deep_tracking_env.yml python=3.9
conda activate deep_tracking
pip install -e .

included are also 2 style files for the matplotlib figures in the directory files. These can also be installed manually in your matplotlib installation.

To test the code run the pipeline:

git clone https://github.com/grheine/IN_hls4ml.git
cd IN_hls4ml
jupyter notebook IN_pipeline.ipynb

A larger data sample of 30.000 events can be downloaded here https://etpwww.etp.kit.edu/~grheine/raw.h5

Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
styles		styles
utils		utils
.gitignore		.gitignore
Full_Track_Finding.ipynb		Full_Track_Finding.ipynb
IN_pipeline-segmented.ipynb		IN_pipeline-segmented.ipynb
IN_pipeline.ipynb		IN_pipeline.ipynb
README.md		README.md
deep_tracking_env.yml		deep_tracking_env.yml
hls4ml_parameter_scan.py		hls4ml_parameter_scan.py
hls4ml_pipeline.ipynb		hls4ml_pipeline.ipynb
hls4ml_scan_analysis.ipynb		hls4ml_scan_analysis.ipynb
hls4ml_test_new.py		hls4ml_test_new.py
optimization_params.txt		optimization_params.txt
setup.py		setup.py
training_analysis.ipynb		training_analysis.ipynb
training_analysis.py		training_analysis.py

Provide feedback