File integrals.h

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.

namespace meas

namespace modelfit

namespace detail

Functions

double phid(double z)

Compute univariate normal probabilities.

This function computes

\[ \frac{1}{2\pi}\int_z^{\infty}dx\;e^{-x^2/(2z^2)} \]

This is just a simple wrapper around boost::math::erfc, used to provide the particular form expected by bvnu.

double bvnu(double h, double k, double rho)

Compute bivariate normal probabilities.

This function computes

\[ \frac{1}{2\pi\sqrt{1-\rho^2}}\int_h^{\infty}dx\int_k^{\infty}dy \;e^{-(x^2 - 2\rho x y + y^2)/(2(1-\rho^2))} \]

It is a reimplementation of the “bvnu” MatLab routine by Alan Genz. The original implementation can be found at http://www.math.wsu.edu/faculty/genz/homepage. It is based on the algorithm described in:

Drezner & Wesolowsky (1989), “On the computation of the bivariate normal integral”, Journal of Statist. Comput. Simul. 35, pp. 101-107.

A copy of Genz’s FORTRAN routine of the same is included in the tests directory, as it has been used to generate the test reference data there. It should generally not need to be compiled by users.

Most of the time, this function should be called via the methods in the TruncatedGaussian class; it is exposed publically only for testing purposes.