iSEDfit: Bayesian spectral energy distribution modeling of galaxies

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Ada Coda
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iSEDfit: Bayesian spectral energy distribution modeling of galaxies

Post by Ada Coda » Fri Sep 01, 2017 3:01 am

iSEDfit: Bayesian spectral energy distribution modeling of galaxies

Abstract: iSEDfit uses Bayesian inference to extract the physical properties of galaxies from their observed broadband photometric spectral energy distribution (SED). In its default mode, the inputs to iSEDfit are the measured photometry (fluxes and corresponding inverse variances) and a measurement of the galaxy redshift. Alternatively, iSEDfit can be used to estimate photometric redshifts from the input photometry alone.

After the priors have been specified, iSEDfit calculates the marginalized posterior probability distributions for the physical parameters of interest, including the stellar mass, star-formation rate, dust content, star formation history, and stellar metallicity. iSEDfit also optionally computes K-corrections and produces multiple "quality assurance" (QA) plots at each stage of the modeling procedure to aid in the interpretation of the prior parameter choices and subsequent fitting results. The software is distributed as part of the impro IDL suite.

Credit: Moustakas, John

Site: https://github.com/moustakas/impro
https://ui.adsabs.harvard.edu/#abs/2013ApJ...767...50M

Bibcode: 2017ascl.soft08029M

Preferred citation method: https://ui.adsabs.harvard.edu/#abs/2013ApJ...767...50M

ID: ascl:1708.029

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