https://github.com/timstaley/amisurvey

End-to-end calibration and imaging of AMI-LA data.
https://github.com/timstaley/amisurvey

Last synced: about 11 hours ago
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End-to-end calibration and imaging of AMI-LA data.

• Host: GitHub
• URL: https://github.com/timstaley/amisurvey
• Owner: timstaley
• License: other
• Created: 2015-01-14T12:06:24.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2016-06-06T11:37:57.000Z (over 8 years ago)
• Last Synced: 2023-03-22T11:11:28.111Z (over 1 year ago)
• Language: Jupyter Notebook
• Homepage: http://4pisky.org/projects/#ALARRM
• Size: 49.8 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
#AMIsurvey

An end-to-end calibration and imaging pipeline for data from the 

[AMI-LA](http://www.mrao.cam.ac.uk/telescopes/ami/) radio observatory. 

For a full description, see the accompanying paper, 

[Staley and Anderson (2015)](https://github.com/timstaley/automated-radio-imaging-paper). 

Builds upon:

* [drive-ami](https://github.com/timstaley/drive-ami), for interfacing with the

  AMI-Reduce calibration pipeline.

* [drive-casa](https://github.com/timstaley/drive-casa), for interfacing with 

the NRAO [CASA](http://casa.nrao.edu) image-synthesis routines.

* [chimenea](https://github.com/timstaley/chimenea), which implements a 

  simple iterative algorithm for automated imaging of multi-epoch radio 

  observations.

  

##Installation

    pip install -r requirements.txt

    pip install -e .

##Usage

    amisurvey_makelist.py --help

    amisurvey_reduce.py --help