pylars-sipm 0.3.0

A python-based simple processor for data acquired with XenoDAQ

# PyLArS > Ricardo Peres, Julian Haas

Comprehensive processing and analysis of SiPM data.

Check the [docs](https://ricmperes.github.io/PyLArS/) and the example notebooks for a quick start!

## Instalation `bash git clone [e-mail]:ricmperes/PyLArS.git cd PyLArs pip install . ` For instal in editable source: `bash pip install -e . `

## How to pylars

To use pylars as “black-box” data processor go to the directory where the raw ROOT files are and run `bash pylars `

For more options (raw and output files, level of RMS, polarity of signal and baseline samples) check the help funtion: `bash pylars --help `

For batch processing use the scripts provided in scripts:

• make_job_files.py, option -r for run number: creates a directory jobs and a slurm compatible .job file for each dataset to be submited to a cluster individually.

• launch_process.sh: runs sbatch [#.job] for all the files in the jobs directory

• cleanup.sh: removes all the .job files

In case batch processing is conducted in a single machine without slurm submission run: `python python make_job_files.py -r [run_number] cd jobs ls | xargs chmod +x ls | xargs -n 1 sh `