- This repository aims to provide a fast reconstruction of data acquired with the H4DAQ.
- The main executable is =bin/H4Reco=. The data processing is steered through the input cfg file (examples in cfg/).
- c++17
- ROOT
- python=3.9
- sphinx
- breathe
- sphinx_rtd_theme
- sphinxcontrib-srclinks
The above requirements can be easily satisfied by creating a dedicated conda environment:
conda env create -f environment.yml
source script/setup.sh(csh) (only on lxplus, or any machine with afs and EOS access).
git clone --recursive https://github.com/simonepigazzini/H4Analysis.git
cd H4Analysis
make
to run the reconstruction locally
bin/H4Reco cfg/Oct2015_timing.cfg 4443
python scripts/submitBatch.py -r [run_number] -c cfg/ECAL_H4_Oct2021/ECAL_H4_Phase2_base_100GeV_HP.cfg -v [production_tag] -s [output_directory] --notar --spills-per-job 1 -q tomorrow
find examples in scripts/submit2021_HPfit_Escan.sh