Export $VARS and activate environment

• Activate the environment where the SAG-SCI and the science tool in used by the wrapper are installed
• Export the environment variable corresponding to the wrapper, i.e. RTAPH or GAMMAPY

export RTAPH=path/to/sagsci/wrappers/rtaph
export GAMMAPY=path/to/sagsci/wrappers/gammapy

Prepare dataset

• From single observation create time bins
• From target.xml template create bins file and update source name
• From job.xml template create bins file and update values
• From obs.xml template create bins file and update values

python prepare_dataset.py -f <myconfig.yml>

Execute analysis single run

• Perform analysis in each bin, either lightcurve (each bin alone) or cumulative (since start of run) and save results
• Move bins and results into the archive

python analysis_one_run.py -f <myconfig.yml>

Collect run results from single bins

• From the archive collect all results and create a merged csv data file for easy plotting

python collect_bins_results.py -f <myconfig.yml>

Plot lightcurves of list of runs

• Load the csv data file and plot the specified curves

python plot_lightcurves.py -f <myconfig.yml> -cp <true|false>