Automated Radio Telescope Image Processing Pipeline (ARTIP) is an end to end pipeline automating the entire process of flagging, calibration and imaging for radio-interferometric data.
ARTIP starts with raw data i.e. a Measurement Set and goes through multiple stages like Flux Calibration, Bandpass Calibration, Phase Calibration and Imaging to generate continuum and spectral line images. Each stage can also be run independently. The pipeline provides continuous feedback to the user through various messages, charts and logs.
It is written using standard python libraries and the CASA package.
The latest version of the pipeline can deal with datasets with (i) multiple spectral windows and (ii) multiple target sources which may have arbitrary combinations of flux/bandpass/phase calibrators. It has been tested against narrow-band (1 - 10 MHz) datasets (~ 6 to 30GB) produced by Giant Metrewave Radio Telescope, Pune (GMRT) and Very Large Array, NM (VLA).
The future versions will have support for large wideband datasets.
This version of ARTIP is developed for CASA 4.7.2, and not tested for later versions.
ARTIP releases are present at https://github.com/TWARTIP/artip/releases. Download and unzip the artip package to run the pipeline.
$ unzip artip<version>.zip -d artip-
Install Anaconda and CASA
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Anaconda
- Install "Anaconda Python 2.7" version from https://www.continuum.io/downloads
- Add conda to your PATH
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CASA (Common Astronomy Software Applications)
- Install "CASA Release 4.7.2" from https://casa.nrao.edu/download/distro
- Add casa to your PATH
1.1. Installation test
Linux: $ casa --help $ conda --version OSX: $ casapy --help $ conda --version
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Install pipeline dependencies
$ cd artip $ ./setup.sh
setup.sh will
- Setup casa-pip for installing python modules CASA from PyPI
- Create "artip" conda environment from artip/environment.yml
2.1. Installation test
$ source <rc_file_path> $ casa-pip -h $ source activate artip $ pyb --version
https://github.com/TWARTIP/artipdoc/blob/master/artip_documentation.pdf
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Default conf directory is present at <artip_path>/conf. You can either update it or create your own conf directory having same format.
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Update the CASA path and model_path in <conf_dir_path>/casa.yml
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Specify flags from the observation logs in "<conf_dir_path>/user_defined_flags.txt". Flags follow format similar to CASA flagdata command with mode='list'.
Below are the examples for the same :
* Flag antennas reason='BAD_ANTENNA' correlation='RR,LL' mode='manual' antenna='1,18' scan='1,7,2,4,6,3,5' * Flag Baselines reason='BAD_BASELINE' correlation='RR,LL' mode='manual' antenna='11&19' scan='1,7,2,4,6,3,5' * Flag Time reason='BAD_ANTENNA_TIME' correlation='LL' mode='manual' antenna='15' scan='1' timerange='2013/01/05/06:59:49~2013/01/05/07:00:00' reason='BAD_BASELINE_TIME' correlation='LL' mode='manual' antenna='7&8' scan='4' timerange='2013/01/05/06:59:49~2013/01/05/07:00:00' -
Run pipeline through command line but make sure casa_path is set properly in <conf_dir_path>/casa.yml
$ cd <artip_path>
$ source activate artip
$ pyb run -P dataset="<ms_dataset_path>" -P conf="<conf_dir_path>" -P output="<output_dir>"All the output artifacts like caltables, flag files, continuum and spectral line images are persisted in <output_path>/<ms_dataset_name> directory.
Pipeline records antenna wise flags summary at different stages. After pipeline completion, user can generate flag summary plots using below scripts :
$ cd <artip_path>/flagged_data_summary
$ python generate_graph.py "<output_path>/<ms_dataset_name>" NOTE : Flags summary is recorded only when pipeline is run with "flag_summary: true" in <conf_dir_path>/pipeline.yml
Charts can be accessed at http://localhost:8000/chart.html
Include the following in publications using ARTIP:
"This paper makes use of ARTIP - the Automated Radio Telescope Imaging Pipeline developed by IUCAA (http://www.iucaa.in/) and ThoughtWorks (https://www.thoughtworks.com/)"