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PolySineAmpModel = class PolySineAmpModel(LinearModel) |
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PolySineAmpModel(degree, frequency, copy=None, fixed=None, **kwargs)
Sine of fixed frequency with polynomials as amplitudes.
Find amplitudes/phases for sinusoidal of a given frequency.
f( x,y:p ) = P(y) cos( 2 π ω x ) + Q(y) sin( 2 π ω x )
P(y), Q(y) are Polynomials of a certain order, n.
It is a linear model in 2 dimensions, with 2n+2 papameters.
Examples
--------
>>> sine = PolySineAmpModel( 2, 150.0 ) # fixed frequency of 150 Hz
Attributes
----------
degree : int
degree of the polynomials
frequency : float
frequency of the sine.
pm : PolynomialModel
polynomial to be multiplied with the (co)sine
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
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- Method resolution order:
- PolySineAmpModel
- LinearModel
- Model
- FixedModel
- BaseModel
- builtins.object
Constructor:
- PolySineAmpModel( degree, frequency, copy=None, fixed=None, **kwargs )
- Sine model of a fixed frequency and polynomials as coefficients.
Number of parameters is 2n+2.
Parameters
----------
degree : int
degree of the polynomials
frequency : float
the frequency, ω
copy : PolySineAmpModel
model to be copied
fixed : dict
If not None raise AttributeError.
Raises
------
AttributeError : When fixed is not None
Methods defined here:
- baseDerivative( xdata, params )
- Returns the derivative of f to (x,y) (df/dx,df/dy) at the input value.
Parameters
----------
xdata : array_like [2,ndata]
values at which to calculate the partials
params : array_like
parameters of the model
- baseName()
- Returns a string representation of the model.
- baseParameterUnit( k )
- Return the name of a parameter.
Parameters
----------
k : int
the kth parameter.
- basePartial( xdata, params, parlist=None )
- Returns the partials at the input value.
Parameters
----------
xdata : array_like [2,ndata]
values at which to calculate the partials
params : array_like
parameters of the model (ignored in LinearModels)
parlist : array_like
list of indices active parameters (or None for all)
- copy()
- Copy method.
Methods inherited from LinearModel:
Methods inherited from Model:
Overloaded operators and aliases
Other methods
- addModel( model )
- appendModel( model, operation )
- assignDF1( partial, i, dpi )
- assignDF2( partial, i, dpi )
- chainLength()
- correctParameters( params )
- derivative( xdata, param, useNum=False )
- divideModel( model )
- domain2Unit( dvalue, kpar=None )
- getIntegralUnit()
- getLimits()
- getLinearIndex()
- getNumberOfParameters()
- getParameterName( k )
- getParameterUnit( k )
- getPrior( k )
- hasLimits( fitindex=None )
- hasPriors( isBound=True )
- isDynamic()
- isMixed()
- isNullModel()
- isolateModel( k )
- multiplyModel( model )
- nextPrior()
- numDerivative( xdata, param )
- numPartial( xdata, param )
- operate( res, pars, next )
- partial( xdata, param, useNum=False )
- partialDomain2Unit( dvalue )
- pipeModel( model )
- 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)
- result( xdata, param=None )
- selectPipe( ndim, ninter, ndout )
- setLimits( lowLimits=None, highLimits=None )
- setPrior( k, prior=None, **kwargs )
- shortName()
- strictNumericDerivative( xdata, param )
- strictNumericPartial( xdata, params, parlist=None )
- subtractModel( model )
- testPartial( xdata, params, silent=True )
- unit2Domain( uvalue, kpar=None )
Methods inherited from FixedModel:
Methods inherited from BaseModel:
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