List of all members.
Constructor & Destructor Documentation
| Spline::BSpline::BSpline |
( |
size_t |
degree = 4 ) |
|
Default constructor.
- Parameters:
-
| degree | the degree of the splines. Default 4 |
Member Function Documentation
| double Spline::BSpline::basisFunction |
( |
size_t |
index, |
|
|
double |
affine |
|
) |
| const |
Evaluate one of the basis functions for a given affine parameter. For a normal 1D histogram the affine parameter is simply the distance along the x axis This method is less efficient than evaluating all of the functions simultaneously.
- Parameters:
-
| index | the label of the basis function |
| affine | the value of the affine parameter |
- Returns:
- the value of the basis function
| vector<double> Spline::BSpline::basisFunctions |
( |
double |
affine ) |
const |
Evaluate all of the basis functions at a give affine parameter. For a normal 1D histogram the affine parameter is simply the distance along the x axis. This method is more efficient that evaluating each basis function individually
- Parameters:
-
| affine | the affine parameter at which to evaluate the bases |
- Returns:
- a vector of the function values
| double Spline::BSpline::chi2 |
( |
) |
const |
- Returns:
- the chi squared of this fitted curve compared to the input data
| double Spline::BSpline::chi2_dof |
( |
) |
const |
- Returns:
- the chi squared per degree of freedom of this fitted curve compared to the input data
| const vector<double>& Spline::BSpline::coefficients |
( |
) |
const |
- Returns:
- the coefficients describing this curve
| const PointSet& Spline::BSpline::controlPoints |
( |
) |
const |
The coefficients and knots describing this curve can be interpretted geometrically as a set of control points describing a polygon. The curve can be derived by interpolating between these control points using the de-boor algorithm
- Returns:
- The set of control points describing this curve
| const Matrix<double>& Spline::BSpline::covarianceMatrix |
( |
) |
const |
Give the covariance matrix of the fit coefficients
- Returns:
- a N*N vector<vector<double> >, where N is the number of coefficients
| DataPoint Spline::BSpline::evaluate |
( |
double |
affine ) |
const |
Evaluate the curve at the give affine parameter For a normal 1D histogram the affine parameter is simply the distance along the x axis.
- Parameters:
-
| affine | the affine parameter |
- Returns:
- DataPoint giving the x and y value of the curve and the error on the y value
| void Spline::BSpline::fitLeastSquares |
( |
const DataSet & |
data, |
|
|
const DataSet & |
signalTemplate |
|
) |
| |
Fit this B-spline curve to a set of data points and include a signal template in the fit
| void Spline::BSpline::fitLeastSquares |
( |
const DataSet & |
data ) |
|
Fit this B-spline curve to a set of data points
| const vector<double>& Spline::BSpline::knots |
( |
) |
const |
- Returns:
- The knot vector of this B-spline
| size_t Spline::BSpline::nCoefficients |
( |
) |
const |
- Returns:
- The number of coefficients
| void Spline::BSpline::setKnotVector |
( |
const vector< double > & |
knots ) |
|
Set the knot vector This allows for non-uniform knot placement
| void Spline::BSpline::setNCoefficientsUniform |
( |
size_t |
nCoeffs, |
|
|
double |
min, |
|
|
double |
max |
|
) |
| |
Set the number of coefficients using a uniform knot vector in the range min to max The min and max values should tpically be min and max x range of the histogram to be fitted, or within that range if only a subset of the histogram is to be used.
- Parameters:
-
| nCoeffs | the number of coefficients |
| min | the minimum value of the affine parameter |
| max | the maximum value of the affine parameter |
| double Spline::BSpline::signalCoefficientSize |
( |
) |
const |
Give the estimate of the signal size if a signal template was included in the fit Will throw an error if no signal was included!
- Returns:
- the signal template contribution to the fit
The documentation for this class was generated from the following file:
1.7.2
