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Smooth Transition¶

Description¶

A Smooth Transition fit function is defined as:

$y = A2+\frac{A1-A2}{e^{-\frac{x-M}{G_R}}+1}$

where

$A1$ - the limit of the function as x tends to zero
$A2$ - the limit of the function as x tends to infinity
$M$ - the sigmoid midpoint
$G_R$ - the growth rate

This models a logistic function.

Examples¶

The logistic function has been used in modelling Covid-19 infection trajectory[1]. It has also been used for examining the muonium state of CdS at low temperatures[2].

Properties (fitting parameters)¶

Name	Default	Description
A1	0.0	the limit of the function as x tends to zero
A2	0.1	the limit of the function as x tends to infinity
Midpoint	100.0	Sigmoid Midpoint
GrowthRate	1.0	Growth rate

References¶

[1]Lee, Se Yoon et al. (2020) “Estimation of COVID-19 spread curves integrating global data and borrowing information.” PloS one vol. 15,7 doi:10.1371/journal.pone.0236860.

[2] Gil, J.M et al (1999). Novel Muonium State in CdS. Phys. Rev. Lett., Vol 83 Issue 25, 5294-5297 doi: 10.1103/PhysRevLett.83.5294.

Categories: FitFunctions | Muon\MuonModelling

Source¶

C++ header: SmoothTransition.h

C++ source: SmoothTransition.cpp