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Plotting and nonlinear fitting software

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fit_equations

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Fit Curves Types

This is the table of predefined Fit Curves.

Name Formula Additional Properties
Line y = a x + b
Parabola y = a x^2 + b x + c Vertex:
x_0 = − b / {2 a}
y_0 = c − {b^2} / {4 a}
Gaussian y = a exp(− ln(2) ({x−x_0}/dx)^2) Area:
S = sqrt{pi / {ln {2}}} ~ a dx
Standard deviation:
sigma = dx / sqrt{2 ln 2}
Gaussian-A
(normalized)
y = sqrt{{ln {2}} / pi} ~ a / dx exp(− ln(2) ({x−x_0}/dx)^2) Amplitude:
A = sqrt{{ln 2} / pi} ~ a/dx
Standard deviation:
sigma = dx / sqrt{2 ln 2}
Lorentzian y = a 1 / {1 + ({x−x_0} / dx)^2} Area:
S = pi a dx
Lorentzian-A
(normalized)
y = a / {pi dx} 1 / {1 + ({x−x_0} / dx)^2} Amplitude:
A = a / {pi dx}
Gauss Derivative y = − 2 ln(2) ~ {a (x−x_0)} / {dx^2} exp(− ln(2) ({x−x_0}/dx)^2) Area (second integral):
S = sqrt{pi / {ln {2}}} ~ a dx
Standard deviation:
sigma = dx / sqrt{2 ln 2}
Peak-to-peak horizontal:
p_x = sqrt{2/{ln {2}}} ~ dx
Peak-to-peak vertical:
p_y = 2 sqrt{{2 ln {2}} / e} ~ a / dx
Lorentz Derivative y=−2 a {x−x_0}/{dx^2} {(1 + ({x−x_0} / dx)^2)^{−2}} Area (second integral):
S = pi a dx
Peak-to-peak horizontal:
p_x = 2/{sqrt {3}} ~ dx
Peak-to-peak vertical:
p_y = {3 sqrt {3}} / 4 ~ a / dx
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fit_equations.1288033331.txt.gz · Last modified: Sun Nov 8 12:20:32 2015 (external edit)