SATMC: SED Analysis Through Monte Carlo

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SATMC: SED Analysis Through Monte Carlo

Post by owlice » Tue Sep 17, 2013 9:03 am

[c]SATMC: SED Analysis Through Monte Carlo[/c][/b]
Abstract: SATMC is a general purpose, MCMC-based SED fitting code written for IDL and Python. Following Bayesian statistics and Monte Carlo Markov Chain algorithms, SATMC derives the best fit parameter values and returns the sampling of parameter space used to construct confidence intervals and parameter-parameter confidence contours. The fitting may cover any range of wavelengths. The code is designed to incorporate any models (and potential priors) of the user's choice. The user guide lists all the relevant details for including observations, models and usage under both IDL and Python.

Credit: Johnson, Seth


Bibcode: 2013ascl.soft09005J

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ID: ascl:1309.005
Last edited by Ada Coda on Mon May 30, 2016 1:50 am, edited 1 time in total.
Reason: Updated code entry.
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