first commit

# Patterns

.*

*.sh

*.yml

*.png

# Folders

tmp/

analysis_archive/

# Files

# Exceptions

!gitignore

!prod5install.sh

!environment.yml

!rtamock/execute_run.sh

!rtamock/myconfig.yml

# Byte-compiled / optimized / DLL files

__pycache__/

*.py[cod]

downloads/

eggs/

.eggs/

lib/

#lib/

lib64/

parts/

sdist/

include README.md

recursive-include * *.py

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#!/bin/bash

mkdir tmp

cd tmp

wget http://cta.irap.omp.eu/ctools/_downloads/csadd2caldb.py

wget https://zenodo.org/record/5499840/files/cta-prod5-zenodo-fitsonly-v0.1.zip

python csadd2caldb.py debug=yes

cd ..

rm -rf tmp

[build-system]

requires = ["setuptools>=42"]

build-backend = "setuptools.build_meta"

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# 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

```bash

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

```bash

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 

```bash

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

```bash

python collect_bins_results.py -f <myconfig.yml>

```

# Plot lightcurves of list of runs

- Load the csv data file and plot the specified curves

```bash

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

```

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