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MrMoose: Multi-Resolution Multi-Object/Origin Spectral Energy distribution fitting procedure

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Ada Coda
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MrMoose: Multi-Resolution Multi-Object/Origin Spectral Energy distribution fitting procedure

Postby Ada Coda » Mon Oct 01, 2018 3:21 am

MrMoose: Multi-Resolution Multi-Object/Origin Spectral Energy distribution fitting procedure

Abstract: MrMoose (Multi-Resolution Multi-Object/Origin Spectral Energy) fits user-defined models onto a set of multi-wavelength data using a Bayesian framework. The code can handle blended sources, large variation in resolution, and even upper limits consistently. It also generates a series of outputs allowing for an quick interpretation of the results. The code uses emcee (ascl:1303.002), and saves the emcee sampler object, thus allowing users to transfer the output to a personal graphical interface.

Credit: Drouart, G.; Falkendal, T.

Site: https://github.com/gdrouart/MrMoose
http://adsabs.harvard.edu/abs/2018MNRAS.477.4981D

Bibcode: 2018ascl.soft09015D

Preferred citation method: http://adsabs.harvard.edu/abs/2018MNRAS.477.4981D

ID: ascl:1809.015

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