Peakpvoigt1: Difference between revisions
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===Description=== | ===Description=== | ||
Given a 4-element vector of parameters (x) and a | Given a 4-element vector of parameters (x) and a vector of independent variables e.g. a wavelength or frequency axis (ax). PEAKPVOIGT1 outputs a pseudo-voigt peak (y). If more than one output is requested, it also outputs the Jacobian (y1) and Hessian (y2). Derivatives are with respect to the parameters and are evaluated at (x). This function is called by PEAKFUNCTION. | ||
====Inputs==== | ====Inputs==== | ||
* '''x''' = 4 element vector with parameters | * '''x''' = 4 element vector with parameters | ||
* '''x(1)''': coefficient, | |||
* '''x(1)''' | * '''x(2)''': mean, | ||
* '''x(3)''': spread, and | |||
* '''x(2)''' | * '''x(4)''': fraction Gaussian. | ||
* '''ax''' = 1 by N vector of independent variables e.g,. a wavelength or frequency axis. | |||
* '''x(3)''' | |||
* '''x(4)''' | |||
* '''ax''' = | |||
====Outputs==== | ====Outputs==== | ||
* '''y''' = | * '''y''' = 1 by N vector with the pseudo-voigt function evaluated at (x) and given by | ||
z = p-x(2) | |||
* '''y1''' = | y = x(1)*( x(4)*exp(-4*ln(2)*z.^2/x(3)^2) + (1-x(4))*x(3)^2./(x(3)^2+z.^2) ); | ||
* '''y1''' = dy/dxi, 4 by N matrix of the Jacobian of evaluated at (x). | |||
* '''y2''' = | * '''y2''' = d2y/dxi^2, 4 by 4 by N matrix of the Hessian of evaluated at (x). | ||
===Algorithm=== | ===Algorithm=== |
Revision as of 14:48, 23 October 2013
Purpose
Outputs a pseudo-Voigt function, Jacobian, and Hessian for a given set of input parameters and axis.
Synopsis
- [y,y1,y2] = peakpvoigt1(x,ax)
Description
Given a 4-element vector of parameters (x) and a vector of independent variables e.g. a wavelength or frequency axis (ax). PEAKPVOIGT1 outputs a pseudo-voigt peak (y). If more than one output is requested, it also outputs the Jacobian (y1) and Hessian (y2). Derivatives are with respect to the parameters and are evaluated at (x). This function is called by PEAKFUNCTION.
Inputs
- x = 4 element vector with parameters
- x(1): coefficient,
- x(2): mean,
- x(3): spread, and
- x(4): fraction Gaussian.
- ax = 1 by N vector of independent variables e.g,. a wavelength or frequency axis.
Outputs
- y = 1 by N vector with the pseudo-voigt function evaluated at (x) and given by
z = p-x(2) y = x(1)*( x(4)*exp(-4*ln(2)*z.^2/x(3)^2) + (1-x(4))*x(3)^2./(x(3)^2+z.^2) );
- y1 = dy/dxi, 4 by N matrix of the Jacobian of evaluated at (x).
- y2 = d2y/dxi^2, 4 by 4 by N matrix of the Hessian of evaluated at (x).
Algorithm
The function is
Examples
- %Make a single known peak
- ax = 0:0.1:100;
- y = peakpvoigt1([2 51 8 0.5],ax);
- plot(ax,y)
See Also
peakfunction, peakgaussian, peaklorentzian, peakpvoigt2, peakstruct