This repository contains a simple pipeline recipe for extracting lightcurves from interferomter data. It is based on https://github.com/ratt-ru/parrot-stew-recipes. The purpose of this recipe is to provide a starting point for more sophisticated and potentially telescope specific pipelines.
This recipe presumes that the data has already been had 1GC calibration solutions applied i.e. it commences from the the standard self-cal loop. Additionally, at present it requires the target to be extracted i.e. does not handle field selection.
1GC can be accomplished using CARACal 1.0.6+ (https://github.com/caracal-pipeline/caracal).
The pipline is implemented as a Stimela recipe (https://stimela.readthedocs.io), and should be portable/reproducible given adequate hardware. Installation of required depndencies can be accomplished by running the following (preferably in a virtual environment):
git clone [email protected]:JSKenyon/lightcurve-pipeline.git
cd lightcuve-pipeline
pip install -e . # Ensure you have updated pip first.
Some components of the pipeline will need to be configured for the data in
question. The datasets.yml file contains the majority of the regularly
changed parameters. However, any parameter can be adjusted by modifying the
contents of lightcurve-pipeline.yml.
In order to run the pipeline, ensure that you are in the lightcurve_pipeline
directory.
The first step is to run the init steps of the pipeline. These steps are typically run once and never again. This can be accomplished using:
stimela -C run lightcurve-pipline.yml -t init
Thereafter the remainder of the pipeline can be run using:
stimela -C run lightcurve-pipline.yml