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Ada Coda
ASCL Robot
Posts: 1916
Joined: Thu May 08, 2014 5:37 am

pydftools: Distribution function fitting in Python

Post by Ada Coda » Wed May 02, 2018 12:36 am

pydftools: Distribution function fitting in Python

Abstract: pydftools is a pure-python port of the dftools R package (ascl:1805.002), which 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 MF (P=1), a mass-size distribution (P=2) or the mass-spin-morphology distribution (P=3). Unlike most common fitting approaches, this method accurately accounts for measurement in uncertainties and complex selection functions. Though this package imitates the dftools package quite closely while being as Pythonic as possible, it has not implemented 2D+ nor non-parametric.

Credit: Murray, Steven G.; Obreschkow, Danail

Last edited by Ada Coda on Sun Aug 19, 2018 9:10 pm, edited 1 time in total.
Reason: Updated code entry.

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