maxsmooth.rst

maxsmooth Theory and Algorithm

maxsmooth Example Codes

This section is designed to introduce the user to the software and the form in which it is run. It provides basic examples of data fitting with a built in MSF model and a user defined model.

There are also examples of functions that can be used pre-fitting and post-fitting for various purposes including; determination of the best DCF model from the built in library for the problem being fitted, analysis of the χ² distribution as a function of the discrete sign spaces and analysis of the parameter space surrounding the optimum results.

The data used for all of this examples is available here.

The example codes can be found here and corresponding Jupyter Notebooks are provided here.

Simple Example code

Turning Points and Inflection Points

New Basis Example

Best Basis Example

χ² Distribution Example

Parameter Plotter Example

maxsmooth Functions

This section details the specifics of the built in functions in maxsmooth including the relevant keyword arguments and default parameters for all. Where keyword arguments are essential for the functions to run this is stated.

smooth()

maxsmooth.DCF

best_basis()

maxsmooth.best_basis

chidist_plotter()

maxsmooth.chidist_plotter

parameter_plotter()

maxsmooth.parameter_plotter

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