| class PowerLawModel( NonLinearModel ) | Source |
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General powerlaw model of arbitrary degree.
f( x:p ) = p0 * ( x - p1 )p2
with
p0 = amplitide
p1 = x-shift
p2 = power
The parameters are initialized at [1.0, 0.0, 1.0].
Note that the term ( x - p1 ) needs to be divided by a factor 1.0 in the same units as the x, to get the overall units of f( x:p ) right. The factor is omitted as it does not contribute in the calculations.
Examples
pl = PowerLawModel( )
print( pl.npchain )
4
Attributes
no attributes of its own.
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
| PowerLawModel( copy=None, **kwargs ) |
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Powerlaw of an unknown degree.
The number of parameters is 3
Parameters
- copy : PowerLawModel
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.
| 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)
| 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.
| baseName( ) |
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| baseParameterUnit( k ) |
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- k : int
parameter number.
| 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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