smile::CChaosOrbitFilteringFnc Class Reference

Orbit filtering function that evaluates chaotic properties of an orbit, based on threshold in frequency diffusion rate and in Lyapunov exponent value, multiplied by some predefined factor. More...

#include <schwarzschild.h>

Inheritance diagram for smile::CChaosOrbitFilteringFnc:

Collaboration diagram for smile::CChaosOrbitFilteringFnc:

Public Member Functions
	CChaosOrbitFilteringFnc (double _chaoticWeightFactor, double _chaoticMinLambda, double _chaoticMinFreqDiff)
virtual double	eval (const COrbitDesc *orbit) const

Private Attributes
double	chaoticWeightFactor
	(maximum) returned value for chaotic orbits (with a soft transition to zero for regular orbits)
double	chaoticMinLambda
	threshold in Lyapunov exponent to designate the orbit as a chaotic (typically zero)
double	chaoticMinFreqDiff
	threshold in FDR (actually use a soft transition spanning +-0.5 in log(FDR)

Detailed Description

Orbit filtering function that evaluates chaotic properties of an orbit, based on threshold in frequency diffusion rate and in Lyapunov exponent value, multiplied by some predefined factor.

May be used for telling regular from chaotic orbits in e.g. computing orbit population of a model, or for assigning positive or negative bias for penalizing or favouring orbits of particular type in Schwarzschild model. Positive factor favours regular orbits, negative - chaotic.

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The documentation for this class was generated from the following files:

• schwarzschild.h
• schwarzschild.cpp