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Polynomial¶

Description¶

A polynomial function of degree \(n\) is defined as:

\[y = A_0 + A_1 \times x + A_2 \times x^2 + ... + A_n \times x^n,\]

where \(A_0, ..., A_n\) are constant coefficients.

Usage¶

Example - Fit a polynomial background excluding some peaks

# create a sample workspace with a peak at x = 4 and a polynomial background
x = np.linspace(0, 10, 100)
y = np.exp(-4*(x-4)**2) -0.01*(x-5)**2 + 0.3
ws = CreateWorkspace(x, y)

# do a fit with the polynomial fit function
Fit("name=Polynomial,n=2", ws, Exclude=[2, 6], Output='out')

Attributes (non-fitting parameters)¶

Name	Type	Default	Description
n	Integer		The degree of polynomial

Properties (fitting parameters)¶

Name	Default	Description
A0	0.0

Categories: FitFunctions | Background | Muon\MuonModelling

Source¶

C++ header: Polynomial.h

C++ source: Polynomial.cpp