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AMIsurvey: Calibration and imaging pipeline for radio data

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Ada Coda
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AMIsurvey: Calibration and imaging pipeline for radio data

Postby Ada Coda » Wed Feb 18, 2015 1:00 am

AMIsurvey: Calibration and imaging pipeline for radio data

Abstract: AMIsurvey is a fully automated calibration and imaging pipeline for data from the AMI-LA radio observatory; it has two key dependencies. The first is drive-ami, included in this entry. Drive-ami is a Python interface to the specialized AMI-REDUCE calibration pipeline, which applies path delay corrections, automatic flags for interference, pointing errors, shadowing and hardware faults, applies phase and amplitude calibrations, Fourier transforms the data into the frequency domain, and writes out the resulting data in uvFITS format. The second is chimenea, which implements an automated imaging algorithm to convert the calibrated uvFITS into science-ready image maps. AMIsurvey links the calibration and imaging stages implemented within these packages together, configures the chimenea algorithm with parameters appropriate to data from AMI-LA, and provides a command-line interface.

Credit: Staley, Tim D.; Anderson, Gemma E.

Site: https://github.com/timstaley/drive-ami
http://adsabs.harvard.edu/abs/2015A%26C....13...38S

Bibcode: 2015ascl.soft02017S

Preferred citation method: http://adsabs.harvard.edu/abs/2015A%26C....13...38S and http://adsabs.harvard.edu/abs/2015ascl.soft02017S

ID: ascl:1502.017
Last edited by Ada Coda on Sun Jul 09, 2017 1:21 am, edited 1 time in total.
Reason: Updated code entry.

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