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Predefined Fit Curves Equations

All predefined Fit Curves are listed in this table. You also can specify custom fit equation. Unlike custom fit equations these curves can be adjusted with mouse on Fit Plot.

Name	Formula	Additional Properties
Line
Parabola		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: Standard deviation:
Gaussian-A (normalized)	$y = sqrt{{ln {2}} / pi} ~ a / dx exp(− ln(2) ({x−x_0}/dx)^2)$	Amplitude: Standard deviation:
Lorentzian	$y = a 1 / {1 + ({x−x_0} / dx)^2}$	Area:
Lorentzian-A (normalized)	$y = a / {pi dx} 1 / {1 + ({x−x_0} / dx)^2}$	Amplitude:
Gauss Derivative	$y = − 2 ln(2) ~ {a (x−x_0)} / {dx^2} exp(− ln(2) ({x−x_0}/dx)^2)$	Area (second integral): Standard deviation: 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): 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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Predefined Fit Curves Equations

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