Landau
jhplot.fit

## Class Landau

• All Implemented Interfaces:
IDevManagedObject, IFunction, IManagedObject, IModelFunction, Connectable, FunctionDispatcher, Cloneable

public class Landauextends AbstractIFunction
The function represents the Landau distribution. This class represents a Landau distribution, as approximated by the Moyal formula $Moyal(\lambda) = \frac{\exp{-0.5(\lambda+\exp{-\lambda})}}{\sqrt{2\pi}}$ See J.E. Moyal, Theory of ionization fluctuations, Phil. Mag. 46 (1955) 263. Note that this analytical approximation is too low in the tail. In order to allow for a fit, we define $\lambda = \frac{x - m}{s}$ with x the dataset variable. From Goddard GLAST ACD team (Fortran version)
• ### Constructor Detail

• #### Landau

public Landau()
• #### Landau

public Landau(String title)
• #### Landau

public Landau(String[] variableNames,      String[] parameterNames)
• ### Method Detail

• #### value

public double value(double[] v)
Description copied from class: AbstractIFunction
Provide value for your function here. Something like: return p[0]+p[1]*v[0]+p[2]*v[0]*v[0];
Specified by:
value in interface IFunction
Specified by:
value in class AbstractIFunction