Production of DL2 data

protopipe.scripts.write_dl2.py is used to produce DL2 tables labeled with shower information such as the direction, the energy and the score/gammaness. You will need to specify the locations of the models for the energy and gammaness estimations created in the Building the models step.

The configuration file used by this script analysis.yaml, the same as for protopipe.scripts.data_training.

By invoking the help argument, you can get help about how the script works:

usage: write_dl2.py [-h] --config_file CONFIG_FILE -o OUTFILE [-m MAX_EVENTS]
                  [-i INDIR] [-f [INFILE_LIST [INFILE_LIST ...]]]
                  [--wave_dir WAVE_DIR] [--wave_temp_dir WAVE_TEMP_DIR]
                  [--wave | --tail] [--regressor_dir REGRESSOR_DIR]
                  [--classifier_dir CLASSIFIER_DIR]
                  [--force_tailcut_for_extended_cleaning FORCE_TAILCUT_FOR_EXTENDED_CLEANING]
                  [--save_images]

optional arguments:
  -h, --help            show this help message and exit
  --config_file CONFIG_FILE
  -o OUTFILE, --outfile OUTFILE
  -m MAX_EVENTS, --max_events MAX_EVENTS
                        maximum number of events considered per file
  -i INDIR, --indir INDIR
  -f [INFILE_LIST [INFILE_LIST ...]], --infile_list [INFILE_LIST [INFILE_LIST ...]]
                        give a specific list of files to run on
  --wave_dir WAVE_DIR   directory where to find mr_filter. if not set look in
                        $PATH
  --wave_temp_dir WAVE_TEMP_DIR
                        directory where mr_filter to store the temporary fits
                        files
  --wave                if set, use wavelet cleaning -- default
  --tail                if set, use tail cleaning, otherwise wavelets
  --regressor_dir REGRESSOR_DIR
                        regressors directory
  --classifier_dir CLASSIFIER_DIR
                        regressors directory
  --force_tailcut_for_extended_cleaning FORCE_TAILCUT_FOR_EXTENDED_CLEANING
                        For tailcut cleaning for energy/score estimation
  --save_images         Save images in images.h5 (one file testing)