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[ascl:1602.020] mbb_emcee: Modified Blackbody MCMC

Mbb_emcee fits modified blackbodies to photometry data using an affine invariant MCMC. It has large number of options which, for example, allow computation of the IR luminosity or dustmass as part of the fit. Carrying out a fit produces a HDF5 output file containing the results, which can either be read directly, or read back into a mbb_results object for analysis. Upper and lower limits can be imposed as well as Gaussian priors on the model parameters. These additions are useful for analyzing poorly constrained data. In addition to standard Python packages scipy, numpy, and cython, mbb_emcee requires emcee (ascl:1303.002), Astropy (ascl:1304.002), h5py, and for unit tests, nose.

Code site:
https://github.com/aconley/mbb_emcee
Used in:
http://adsabs.harvard.edu/abs/2013Natur.496..329R http://adsabs.harvard.edu/abs/2013Natur.498..338F http://adsabs.harvard.edu/abs/2014ApJ...780...75D
Bibcode:
2016ascl.soft02020C

Views: 1916

ascl:1602.020
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