File Convolution.h

class Convolution
#include <Convolution.h>

A temporary-only expression object for ellipse core convolution.

Public Types

typedef Eigen::Matrix3d DerivativeMatrix

Matrix type for derivative with respect to input ellipse parameters.

Public Functions

Convolution(BaseCore &self, BaseCore const &other)

Standard constructor.

std::shared_ptr<BaseCore> copy() const

Return a new convolved ellipse core.

void inPlace()

Convolve the ellipse core in-place.

DerivativeMatrix d() const

Return the derivative of convolved core with respect to self.

void apply(BaseCore &result) const

Public Members

BaseCore &self
BaseCore const &other
class Convolution
#include <Convolution.h>

A temporary-only expression object for ellipse convolution.

Public Types

typedef Eigen::Matrix<double, 5, 5> DerivativeMatrix

Matrix type for derivative with respect to input ellipse parameters.

Public Functions

Convolution(Ellipse &self, Ellipse const &other)

Standard constructor.

std::shared_ptr<Ellipse> copy() const

Return a new convolved ellipse.

void inPlace()

Convolve the ellipse in-place.

DerivativeMatrix d() const

Return the derivative of convolved ellipse with respect to self.

Public Members

Ellipse &self
Ellipse const &other
namespace lsst

Class for a simple mapping implementing a generic AstrometryTransform.

Remove all non-astronomical counts from the Chunk Exposure’s pixels.

Forward declarations for lsst::utils::Cache

For details on the Cache class, see the Cache.h file.

It uses a template rather than a pointer so that the derived classes can use the specifics of the transform. The class simplePolyMapping overloads a few routines.

A base class for image defects

Numeric constants used by the Integrate.h integrator routines.

Compute Image Statistics

Note

Gauss-Kronrod-Patterson quadrature coefficients for use in quadpack routine qng. These coefficients were calculated with 101 decimal digit arithmetic by L. W. Fullerton, Bell Labs, Nov 1981.

Note

The Statistics class itself can only handle lsst::afw::image::MaskedImage() types. The philosophy has been to handle other types by making them look like lsst::afw::image::MaskedImage() and reusing that code. Users should have no need to instantiate a Statistics object directly, but should use the overloaded makeStatistics() factory functions.