Class BreitWigner

All Implemented Interfaces:
Serializable
Direct Known Subclasses:
BreitWignerMeanSquare

public class BreitWigner extends AbstractContinuousDistribution
BreitWigner (aka Lorentz) distribution; See the math definition. A more general form of the Cauchy distribution.

Instance methods operate on a user supplied uniform random number generator; they are unsynchronized.

Static methods operate on a default uniform random number generator; they are synchronized.

Implementation: This is a port of RandBreitWigner used in CLHEP 1.4.0 (C++).

See Also:
  • Field Details

    • mean

      protected double mean
    • gamma

      protected double gamma
    • cut

      protected double cut
  • Constructor Details

    • BreitWigner

      public BreitWigner(double mean, double gamma, double cut, MersenneTwisterFast randomGenerator)
      Constructs a BreitWigner distribution.
      Parameters:
      cut - cut==Double.NEGATIVE_INFINITY indicates "don't cut".
  • Method Details

    • nextDouble

      public double nextDouble()
      Returns a random number from the distribution.
      Specified by:
      nextDouble in class AbstractDistribution
    • nextDouble

      public double nextDouble(double mean, double gamma, double cut)
      Returns a random number from the distribution; bypasses the internal state.
      Parameters:
      cut - cut==Double.NEGATIVE_INFINITY indicates "don't cut".
    • setState

      public void setState(double mean, double gamma, double cut)
      Sets the mean, gamma and cut parameters.
      Parameters:
      cut - cut==Double.NEGATIVE_INFINITY indicates "don't cut".
    • toString

      public String toString()
      Returns a String representation of the receiver.
      Overrides:
      toString in class Object