lsst::meas::extensions::trailedSources Namespace Reference

Namespaces
namespace	NaivePlugin
namespace	utils
namespace	VeresPlugin
namespace	version

Classes
class	VeresModel
	Implementation of an axisymmetric 2D Gaussian convolved with a line – a model for a fast-moving, trailed-source (Veres et al. More...

Typedefs
using	ImageF = afw::image::Image<float>
using	ExposureF = afw::image::Exposure<float>

Functions
void	wrapVeresModel (lsst::cpputils::python::WrapperCollection &wrappers)
	PYBIND11_MODULE (_trailedSources, mod)
T	sin (T... args)
T	cos (T... args)
T	sqrt (T... args)
T	exp (T... args)
T	erf (T... args)

Detailed Description

lsst.meas.extensions.trailedSources

Typedef Documentation

ExposureF

using lsst::meas::extensions::trailedSources::ExposureF = afw::image::Exposure<float>

Definition at line 36 of file VeresModel.cc.

ImageF

using lsst::meas::extensions::trailedSources::ImageF = afw::image::Image<float>

Definition at line 35 of file VeresModel.cc.

Function Documentation

cos()

T std::cos

(

T...

args

)

erf()

T std::erf

(

T...

args

)

exp()

T std::exp

(

T...

args

)

PYBIND11_MODULE()

lsst::meas::extensions::trailedSources::PYBIND11_MODULE	(	_trailedSources	,
		mod	)

Definition at line 36 of file _trailedSources.cc.

                                      {
    lsst::cpputils::python::WrapperCollection wrappers(mod, "lsst.meas.extensions.trailedSources");
    wrapVeresModel(wrappers);
    wrappers.finish();
}

sin()

T std::sin

(

T...

args

)

sqrt()

T std::sqrt

(

T...

args

)

wrapVeresModel()

void lsst::meas::extensions::trailedSources::wrapVeresModel

(

lsst::cpputils::python::WrapperCollection &

wrappers

)

Definition at line 41 of file _VeresModel.cc.

                                                               {
 
    wrappers.addSignatureDependency("lsst.geom");
    wrappers.addSignatureDependency("lsst.afw.image");
 
    wrappers.wrapType(
        py::classh<VeresModel>(wrappers.module, "VeresModel"),
        [](auto & mod, auto & cls) {
            cls.def(py::init<afw::image::Exposure<float> const&>(), "data"_a);
            cls.def("__call__", &VeresModel::operator(), py::is_operator(), "params"_a);
            cls.def("gradient", &VeresModel::gradient, "params"_a);
            cls.def("computeFluxWithGradient", &VeresModel::computeFluxWithGradient, "params"_a);
            cls.def("computeModelImage", &VeresModel::computeModelImage, "params"_a);
            cls.def_property_readonly("sigma", &VeresModel::getSigma);
    });
}