dftools: Distribution function fitting

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Ada Coda
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dftools: Distribution function fitting

Post by Ada Coda » Thu May 03, 2018 1:01 am

dftools: Distribution function fitting

Abstract: dftools, written in R, finds the most likely P parameters of a D-dimensional distribution function (DF) generating N objects, where each object is specified by D observables with measurement uncertainties. For instance, if the objects are galaxies, it can fit a mass function (D=1), a mass-size distribution (D=2) or the mass-spin-morphology distribution (D=3). Unlike most common fitting approaches, this method accurately accounts for measurement in uncertainties and complex selection functions.

Credit: Obreschkow, Danail

Site: https://github.com/obreschkow/dftools
http://adsabs.harvard.edu/abs/2018MNRAS.474.5500O

Bibcode: 2018ascl.soft05002O

ID: ascl:1805.002
Last edited by Ada Coda on Fri May 04, 2018 5:34 am, edited 1 time in total.
Reason: Updated code entry.

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