BayesicFitting

Model Fitting and Evidence Calculation

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class EtalonDriftModel( NonLinearModel )Source

Sinusoidal Model with drifting frequency.

     f( x,y:p ) = p0 / ( 1.0 + p12 * sin2( π ( p2 x + p3 + p4 y ) ) )

where p0 = amplitude
       p1 = finesse
       p2 = periods per wavenumber
       p3 = phase
       p4 = phase drift As always (x,y) = input; it is in (wavenumbers,alpha)

The parameters are initialized at 1.0, 1.0, 1.0, 0.0, 0.0. It is a non-linear model.

This model is specificly made for the MIRI instrumnet aboard JWST. Its usefullness elsewhere is doubtfull.

Attributes from Model

     npchain, parameters, stdevs, xUnit, yUnit

Attributes from FixedModel

     npmax, fixed, parlist, mlist

Attributes from BaseModel

     npbase, ndim, priors, posIndex, nonZero, tiny, deltaP, parNames

Examples

fpm = EtalonDriftModel( )
print( fpm.npchain )

5 pars = [1.0, 30.0, 1.0, 0.0, 0.0] fpm.parameters = pars

EtalonDriftModel( copy=None, **kwargs )

Etalon model.

Number of parameters is 5.

Parameters

  • copy : EtalonModel
         to be copied
  • fixed : None or dictionary of {int:float|Model}
         int index of parameter to fix permanently.
         float|Model values for the fixed parameters.
         Attribute fixed can only be set in the constructor.
         See: FixedModel

copy( )

Copy method.

baseResult( xdata, params )
Returns the result of the model function.

Parameters

  • xdata : array_like
         values at which to calculate the result
  • params : array_like
         values for the parameters.

baseDerivative( xdata, params )
Returns the derivative of f to x (df/dx) at the input values.

Parameters

  • xdata : array_like
         values at which to calculate the result
  • params : array_like
         values for the parameters.

basePartial( xdata, params, parlist=None )
Returns the partials at the input values.

Parameters

  • xdata : array_like
         values at which to calculate the result
  • params : array_like
         values for the parameters.
  • parlist : array_like
         list of indices active parameters (or None for all)

baseName( )
Returns a string representation of the model.

baseParameterUnit( k )
Return the name of a parameter.

Parameters

  • k : int
         the kth parameter.
Methods inherited from NonLinearModel
Methods inherited from Model
Methods inherited from FixedModel
Methods inherited from BaseModel