class EtalonDriftModel( NonLinearModel ) | Source |
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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 ) |
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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( ) |
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baseResult( xdata, params ) |
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Parameters
- xdata : array_like
values at which to calculate the result - params : array_like
values for the parameters.
baseDerivative( xdata, params ) |
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Parameters
- xdata : array_like
values at which to calculate the result - params : array_like
values for the parameters.
basePartial( xdata, params, parlist=None ) |
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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( ) |
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baseParameterUnit( k ) |
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Parameters
- k : int
the kth parameter.
Methods inherited from NonLinearModel |
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Methods inherited from Model |
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- chainLength( )
- isNullModel( )
- isolateModel( k )
- addModel( model )
- subtractModel( model )
- multiplyModel( model )
- divideModel( model )
- pipeModel( model )
- appendModel( model, operation )
- correctParameters( params )
- result( xdata, param=None )
- operate( res, pars, next )
- derivative( xdata, param, useNum=False )
- selectPipe( ndim, ninter, ndout )
- pipe_0( dGd, dHdG )
- pipe_1( dGd, dHdG )
- pipe_2( dGd, dHdG )
- pipe_3( dGd, dHdG )
- pipe_4( dGdx, dHdG )
- pipe_5( dGdx, dHdG )
- pipe_6( dGdx, dHdG )
- pipe_7( dGdx, dHdG )
- pipe_8( dGdx, dHdG )
- pipe_9( dGdx, dHdG )
- shortName( )
- getNumberOfParameters( )
- numDerivative( xdata, param )
- numPartial( xdata, param )
- isDynamic( )
- hasPriors( isBound=True )
- getPrior( kpar )
- setPrior( kpar, prior=None, **kwargs )
- getParameterName( kpar )
- getParameterUnit( kpar )
- getIntegralUnit( )
- setLimits( lowLimits=None, highLimits=None )
- getLimits( )
- hasLimits( fitindex=None )
- unit2Domain( uvalue, kpar=None )
- domain2Unit( dvalue, kpar=None )
- partialDomain2Unit( dvalue )
- nextPrior( )
- getLinearIndex( )
- testPartial( xdata, params, silent=True )
- strictNumericPartial( xdata, params, parlist=None )
- assignDF1( partial, i, dpi )
- assignDF2( partial, i, dpi )
- strictNumericDerivative( xdata, param )
Methods inherited from FixedModel |
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Methods inherited from BaseModel |
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