Loading [MathJax]/extensions/tex2jax.js
LSST Applications g0fba68d861+83433b07ee,g16d25e1f1b+23bc9e47ac,g1ec0fe41b4+3ea9d11450,g1fd858c14a+9be2b0f3b9,g2440f9efcc+8c5ae1fdc5,g35bb328faa+8c5ae1fdc5,g4a4af6cd76+d25431c27e,g4d2262a081+c74e83464e,g53246c7159+8c5ae1fdc5,g55585698de+1e04e59700,g56a49b3a55+92a7603e7a,g60b5630c4e+1e04e59700,g67b6fd64d1+3fc8cb0b9e,g78460c75b0+7e33a9eb6d,g786e29fd12+668abc6043,g8352419a5c+8c5ae1fdc5,g8852436030+60e38ee5ff,g89139ef638+3fc8cb0b9e,g94187f82dc+1e04e59700,g989de1cb63+3fc8cb0b9e,g9d31334357+1e04e59700,g9f33ca652e+0a83e03614,gabe3b4be73+8856018cbb,gabf8522325+977d9fabaf,gb1101e3267+8b4b9c8ed7,gb89ab40317+3fc8cb0b9e,gc0af124501+57ccba3ad1,gcf25f946ba+60e38ee5ff,gd6cbbdb0b4+1cc2750d2e,gd794735e4e+7be992507c,gdb1c4ca869+be65c9c1d7,gde0f65d7ad+c7f52e58fe,ge278dab8ac+6b863515ed,ge410e46f29+3fc8cb0b9e,gf35d7ec915+97dd712d81,gf5e32f922b+8c5ae1fdc5,gf618743f1b+747388abfa,gf67bdafdda+3fc8cb0b9e,w.2025.18
LSST Data Management Base Package
All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Properties Friends Macros Modules Pages
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
A class that can be used to generate sequences of random numbers according to a number of different a...
Definition Random.h:57
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
Prior(const Prior &)=delete
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