QtiSAS & QtiKWS

SA(N)S related software: data reduction, analysis, global instrumental fit of curves and matrixes

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SANS@Tools



SANS
Data
Reduction

ASCII
SANS
1D


Compile
Fitting
Function

Fitting
Curve(s)
Tools


Singular
Value De-
composition


Jülich
NSE
Tools


SANS@MLZ




Very Small Angle Scattering KWS-3 "VerySANS" www.verysans.com

JCNS :: Institutes

Statistics


210 person(s)
[2020-04-15]
2 person(s)
[today]

st

fittable


Global Fit      SA(N)S Fit      Superpositional Fit      Easy Fit (eFit)      Batch Fit (Set-by-Set)     


Nonlinear Curve(s) Fitting Interface


… under construction …

The Chi-Square Minimization

Nonlinear curve fitting is an iterative procedure employing minimisation of the reduced chi-square value χ² to obtain the optimal parameter values. The reduced chi-square is obtained by dividing the residual sum of squares (RSS) by the degrees of freedom (DOF). Although this is the quantity that is minimized in the iteration process, this quantity is typically not a good measure to determine the goodness of fit. For example, if the y data is multiplied by a scaling factor, the reduced chi-square will be scaled as well.

M-Dimensional Data Sets [M>=1]

Residual Sum of Squares:

Reduced Chi-Square:

fittable.txt · Last modified: 2021/01/12 07:35 by Vitaliy Pipich