uvmcmcfit: Parametric models to interferometric data fitter

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Ada Coda
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uvmcmcfit: Parametric models to interferometric data fitter

Post by Ada Coda » Thu Jun 30, 2016 3:11 am

uvmcmcfit: Parametric models to interferometric data fitter

Abstract: Uvmcmcfit fits parametric models to interferometric data. It is ideally suited to extract the maximum amount of information from marginally resolved observations with interferometers like the Atacama Large Millimeter Array (ALMA), Submillimeter Array (SMA), and Plateau de Bure Interferometer (PdBI). uvmcmcfit uses emcee (ascl:1303.002) to do Markov Chain Monte Carlo (MCMC) and can measure the goodness of fit from visibilities rather than deconvolved images, an advantage when there is strong gravitational lensing and in other situations. uvmcmcfit includes a pure-Python adaptation of Miriad’s (ascl:1106.007) uvmodel task to generate simulated visibilities given observed visibilities and a model image and a simple ray-tracing routine that allows it to account for both strongly lensed systems (where multiple images of the lensed galaxy are detected) and weakly lensed systems (where only a single image of the lensed galaxy is detected).

Credit: Bussmann, Shane; Leung, Tsz Kuk (Daisy); Conley, Alexander

Site: https://github.com/sbussmann/uvmcmcfit

Bibcode: 2016ascl.soft06006B

ID: ascl:1606.006
Last edited by Ada Coda on Sun Aug 19, 2018 8:43 pm, edited 1 time in total.
Reason: Updated code entry.

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