LSST Applications 27.0.0,g0265f82a02+469cd937ee,g02d81e74bb+21ad69e7e1,g1470d8bcf6+cbe83ee85a,g2079a07aa2+e67c6346a6,g212a7c68fe+04a9158687,g2305ad1205+94392ce272,g295015adf3+81dd352a9d,g2bbee38e9b+469cd937ee,g337abbeb29+469cd937ee,g3939d97d7f+72a9f7b576,g487adcacf7+71499e7cba,g50ff169b8f+5929b3527e,g52b1c1532d+a6fc98d2e7,g591dd9f2cf+df404f777f,g5a732f18d5+be83d3ecdb,g64a986408d+21ad69e7e1,g858d7b2824+21ad69e7e1,g8a8a8dda67+a6fc98d2e7,g99cad8db69+f62e5b0af5,g9ddcbc5298+d4bad12328,ga1e77700b3+9c366c4306,ga8c6da7877+71e4819109,gb0e22166c9+25ba2f69a1,gb6a65358fc+469cd937ee,gbb8dafda3b+69d3c0e320,gc07e1c2157+a98bf949bb,gc120e1dc64+615ec43309,gc28159a63d+469cd937ee,gcf0d15dbbd+72a9f7b576,gdaeeff99f8+a38ce5ea23,ge6526c86ff+3a7c1ac5f1,ge79ae78c31+469cd937ee,gee10cc3b42+a6fc98d2e7,gf1cff7945b+21ad69e7e1,gfbcc870c63+9a11dc8c8f
LSST Data Management Base Package
Loading...
Searching...
No Matches
MixturePrior.h
Go to the documentation of this file.
1// -*- lsst-c++ -*-
2/*
3 * LSST Data Management System
4 * Copyright 2008-2013 LSST Corporation.
5 *
6 * This product includes software developed by the
7 * LSST Project (http://www.lsst.org/).
8 *
9 * This program is free software: you can redistribute it and/or modify
10 * it under the terms of the GNU General Public License as published by
11 * the Free Software Foundation, either version 3 of the License, or
12 * (at your option) any later version.
13 *
14 * This program is distributed in the hope that it will be useful,
15 * but WITHOUT ANY WARRANTY; without even the implied warranty of
16 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17 * GNU General Public License for more details.
18 *
19 * You should have received a copy of the LSST License Statement and
20 * the GNU General Public License along with this program. If not,
21 * see <http://www.lsstcorp.org/LegalNotices/>.
22 */
23
24#ifndef LSST_MEAS_MODELFIT_MixturePrior_h_INCLUDED
25#define LSST_MEAS_MODELFIT_MixturePrior_h_INCLUDED
26
29
30namespace lsst { namespace meas { namespace modelfit {
31
35class MixturePrior : public Prior {
36public:
37
38 explicit MixturePrior(std::shared_ptr<Mixture const> mixture, std::string const & tag="");
39
42 ndarray::Array<Scalar const,1,1> const & nonlinear,
43 ndarray::Array<Scalar const,1,1> const & amplitudes
44 ) const override;
45
48 ndarray::Array<Scalar const,1,1> const & nonlinear,
49 ndarray::Array<Scalar const,1,1> const & amplitudes,
50 ndarray::Array<Scalar,1,1> const & nonlinearGradient,
51 ndarray::Array<Scalar,1,1> const & amplitudeGradient,
52 ndarray::Array<Scalar,2,1> const & nonlinearHessian,
53 ndarray::Array<Scalar,2,1> const & amplitudeHessian,
54 ndarray::Array<Scalar,2,1> const & crossHessian
55 ) const override;
56
59 Vector const & gradient, Matrix const & hessian,
60 ndarray::Array<Scalar const,1,1> const & nonlinear
61 ) const override;
62
65 Vector const & gradient, Matrix const & hessian,
66 ndarray::Array<Scalar const,1,1> const & nonlinear,
67 ndarray::Array<Scalar,1,1> const & amplitudes
68 ) const override;
69
72 Vector const & gradient, Matrix const & fisher,
73 ndarray::Array<Scalar const,1,1> const & nonlinear,
75 ndarray::Array<Scalar,2,1> const & amplitudes,
76 ndarray::Array<Scalar,1,1> const & weights,
77 bool multiplyWeights=false
78 ) const override;
79
87
88 std::shared_ptr<Mixture const> getMixture() const { return _mixture; }
89
90private:
92};
93
94}}} // namespace lsst::meas::modelfit
95
96#endif // !LSST_MEAS_MODELFIT_MixturePrior_h_INCLUDED
table::Key< table::Array< double > > amplitudes
A class that can be used to generate sequences of random numbers according to a number of different a...
Definition Random.h:57
A prior that's flat in amplitude parameters, and uses a Mixture for nonlinear parameters.
void evaluateDerivatives(ndarray::Array< Scalar const, 1, 1 > const &nonlinear, ndarray::Array< Scalar const, 1, 1 > const &amplitudes, ndarray::Array< Scalar, 1, 1 > const &nonlinearGradient, ndarray::Array< Scalar, 1, 1 > const &amplitudeGradient, ndarray::Array< Scalar, 2, 1 > const &nonlinearHessian, ndarray::Array< Scalar, 2, 1 > const &amplitudeHessian, ndarray::Array< Scalar, 2, 1 > const &crossHessian) const override
Evaluate the derivatives of the prior at the given point in nonlinear and amplitude space.
static MixtureUpdateRestriction const & getUpdateRestriction()
Return a MixtureUpdateRestriction appropriate for (e1,e2,r) data.
Scalar marginalize(Vector const &gradient, Matrix const &hessian, ndarray::Array< Scalar const, 1, 1 > const &nonlinear) const override
Return the -log amplitude integral of the prior*likelihood product.
std::shared_ptr< Mixture const > getMixture() const
Scalar maximize(Vector const &gradient, Matrix const &hessian, ndarray::Array< Scalar const, 1, 1 > const &nonlinear, ndarray::Array< Scalar, 1, 1 > const &amplitudes) const override
Compute the amplitude vector that maximizes the prior x likelihood product.
MixturePrior(std::shared_ptr< Mixture const > mixture, std::string const &tag="")
void drawAmplitudes(Vector const &gradient, Matrix const &fisher, ndarray::Array< Scalar const, 1, 1 > const &nonlinear, afw::math::Random &rng, ndarray::Array< Scalar, 2, 1 > const &amplitudes, ndarray::Array< Scalar, 1, 1 > const &weights, bool multiplyWeights=false) const override
Draw a set of Monte Carlo amplitude vectors.
Scalar evaluate(ndarray::Array< Scalar const, 1, 1 > const &nonlinear, ndarray::Array< Scalar const, 1, 1 > const &amplitudes) const override
Evaluate the prior at the given point in nonlinear and amplitude space.
Helper class used to define restrictions to the form of the component parameters in Mixture::updateEM...
Definition Mixture.h:111
Base class for Bayesian priors.
Definition Prior.h:36
Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > Vector
Definition common.h:46
Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > Matrix
Definition common.h:45
double Scalar
Typedefs to be used for probability and parameter values.
Definition common.h:44