lsst::meas::base::PeakLikelihoodFluxControl Class Reference

C++ control object for peak likelihood flux. More...

#include <PeakLikelihoodFlux.h>

Public Member Functions
	PeakLikelihoodFluxControl ()

Public Attributes
std::string	warpingKernelName
	"Name of warping kernel (e.g. \"lanczos4") used to compute the peak" ; More...

Detailed Description

C++ control object for peak likelihood flux.

Peak likelihood flux requires an image that has been filtered by convolving with its own PSF (or an approximate model). It is equivalent to a PSF flux (e.g. PsfFluxAlgorithm) computed on a non-preconvolved image.

The PSF must be provided in the exposure, as it is used to compute a weighting factor.

Flux and error are computed as follows:

• flux = sum(unfiltered image * PSF) / sum(PSF^2) = value of peak of filtered source / sum(PSF^2)
• err = sqrt(sum(unfiltered variance * PSF^2) / sum(PSF^2)^2) = sqrt(value of filtered variance at peak / sum(PSF^2)^2)
• The pixels in the image are samples of a band-limited function, and by using a sinc interpolation (via a warping kernel) we can evaluate this function at any point. We use this technique to compute the peak of the function, which is assumed to be at the centroid of the filtered source.

Definition at line 57 of file PeakLikelihoodFlux.h.

Constructor & Destructor Documentation

lsst::meas::base::PeakLikelihoodFluxControl::PeakLikelihoodFluxControl ( )

inline

Definition at line 63 of file PeakLikelihoodFlux.h.

: warpingKernelName("lanczos4") {}

Member Data Documentation

std::string lsst::meas::base::PeakLikelihoodFluxControl::warpingKernelName

"Name of warping kernel (e.g. \"lanczos4") used to compute the peak" ;

Definition at line 61 of file PeakLikelihoodFlux.h.

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The documentation for this class was generated from the following file:

• /home/lsstsw/stack/Linux64/meas_base/11.0+1/include/lsst/meas/base/PeakLikelihoodFlux.h