Shifted |
Fit fuction with one or more shifted log-normal peaks, with a baseline polynomial
of variable order. The parametrization is according to what the National Institute of Standards and Technology
is using for describing the intensity curves of their Raman standards.
Inheritance HierarchyNamespace: Altaxo.Calc.FitFunctions.Peaks
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3179.0 (4.8.3179.0)
SyntaxC#
public class ShiftedLogNormalParametrizationNIST : IFitFunctionWithDerivative, IFitFunction, IFitFunctionPeak, IImmutable, IEquatable<ShiftedLogNormalParametrizationNIST>
The ShiftedLogNormalParametrizationNIST type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | ShiftedLogNormalParametrizationNIST | Initializes a new instance of the ShiftedLogNormalParametrizationNIST class |
| ShiftedLogNormalParametrizationNIST(Int32, Int32) | Initializes a new instance of the ShiftedLogNormalParametrizationNIST class |
Properties| Name | Description | |
|---|---|---|
 | NumberOfDependentVariables | |
| NumberOfIndependentVariables | |
| NumberOfParameters | |
| NumberOfTerms | Gets/sets the number of peak terms. |
| OrderOfBaselinePolynomial | Gets/sets the order of the baseline polynomial. |
| ParameterNamesForOnePeak | Gets the parameter names for one peak. |
Methods| Name | Description | |
|---|---|---|
 | Create_1_M1 | |
| DefaultParameterValue | |
| DefaultVarianceScaling | |
| DependentVariableName | |
| Evaluate(Double, Double, Double) | |
| Evaluate(IROMatrixDouble, IReadOnlyListDouble, IVectorDouble, IReadOnlyListBoolean) | |
| EvaluateDerivative | This evaluates the gradient of the function with respect to the parameters. |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
| GetInitialParametersFromHeightPositionAndWidthAtRelativeHeight | Gets the initial parameters for one term (peak) by providing the height of the peak, the position of the peak, the width of the peak, and the relative height at which the width was measured. |
| GetParameterBoundariesForPositivePeaks | Gets the parameter boundaries in order to have positive peaks only. |
| GetParameterBoundariesHardLimit | Gets the parameter boundaries that are really a hard limit, i.e. outside those limits, the function would probably evaluate NaN values, or makes no sense. |
| GetParameterBoundariesSoftLimit | Gets the intended parameter boundaries. This are soft limits, boundaries so that the intended purpose of the fit function is fullfilled. Example: in the exponential decay Exp(-a*t) a is intended to be positive. This is a soft limit, and not a hard limit, because a could be also negative, and the fit nevertheless would succeed. |
| GetPositionAreaHeightFWHMFromSinglePeakParameters(IReadOnlyListDouble) | Gets the position, the area under the peak, the height, and the Full Width Half Maximum (FWHM) from the parameters of a single peak. |
| GetPositionAreaHeightFWHMFromSinglePeakParameters(IReadOnlyListDouble, IROMatrixDouble) | Gets the position, the area under the peak, the height, and the Full Width Half Maximum (FWHM) from the parameters of a single peak. If the covariance matrix is given, then also the standard deviations of position, area, height, FWHM are calculated (otherwise, zero values are returned for the standard deviations). |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| GetYOfOneTerm | |
| IndependentVariableName | |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| ParameterName | |
| ToString | Returns a string that represents the current object. (Overrides ObjectToString) |
Events
Fields| Name | Description | |
|---|---|---|
 | NumberOfParametersPerPeak |
RemarksOne peak of this function has 4 parameters:
h: height of the peak (y-value at the maximum)
xc: location the peak (x-value of the maximum)
w: Full Width Half Maximum (FWHM) of the peak
rho: Shape parameter (0 < rho < Infinity). If rho=1, the shape is Gaussian, otherwise it is skewed to one or the other side.
See Also