DM-10302 Change flux->instFlux

examples/measAlgTasks.py

@@ -71,7 +71,7 @@ def run(display=False):
     config.algorithms.names = ["base_SdssCentroid", "base_SdssShape", "base_CircularApertureFlux"]
     config.algorithms["base_CircularApertureFlux"].radii = [1, 2, 4, 8, 16]  # pixels
 
-    config.slots.instFlux = None
+    config.slots.gaussianFlux = None
     config.slots.modelFlux = None
     config.slots.psfFlux = None
 

include/lsst/meas/algorithms/PsfCandidate.h

@@ -104,7 +104,7 @@ class PsfCandidate : public afw::math::SpatialCellImageCandidate {
      *
      * @note Required method for use by SpatialCell
      */
-    double getCandidateRating() const { return _source->getPsfFlux(); }
+    double getCandidateRating() const { return _source->getPsfInstFlux(); }
 
     /// Return the original Source
     PTR(afw::table::SourceRecord) getSource() const { return _source; }
@@ -179,7 +179,7 @@ std::shared_ptr<PsfCandidate<PixelT>> makePsfCandidate(PTR(afw::table::SourceRec
                                                                const & source,  ///< The detected Source
                                                        PTR(afw::image::Exposure<PixelT>)
                                                                image  ///< The image wherein lies the object
-) {
+                                                       ) {
     return std::make_shared<PsfCandidate<PixelT>>(source, image);
 }
 

python/lsst/meas/algorithms/astrometrySourceSelector.py

@@ -115,9 +115,9 @@ def _getSchemaKeys(self, schema):
         self.saturatedKey = schema["base_PixelFlags_flag_saturated"].asKey()
 
         fluxPrefix = "slot_%sFlux_" % (self.config.sourceFluxType,)
-        self.fluxKey = schema[fluxPrefix + "flux"].asKey()
+        self.instFluxKey = schema[fluxPrefix + "instFlux"].asKey()
         self.fluxFlagKey = schema[fluxPrefix + "flag"].asKey()
-        self.fluxErrKey = schema[fluxPrefix + "fluxErr"].asKey()
+        self.instFluxErrKey = schema[fluxPrefix + "instFluxErr"].asKey()
 
     def _isMultiple(self, sourceCat):
         """Return True for each source that is likely multiple sources."""
@@ -146,7 +146,7 @@ def _goodSN(self, sourceCat):
             return True
         else:
             with np.errstate(invalid="ignore"):  # suppress NAN warnings
-                return sourceCat.get(self.fluxKey)/sourceCat.get(self.fluxErrKey) > self.config.minSnr
+                return sourceCat.get(self.instFluxKey)/sourceCat.get(self.instFluxErrKey) > self.config.minSnr
 
     def _isUsable(self, sourceCat):
         """

python/lsst/meas/algorithms/dynamicDetection.py

@@ -61,7 +61,7 @@ def __init__(self, *args, **kwargs):
         config = ForcedMeasurementTask.ConfigClass()
         config.plugins.names = ['base_TransformedCentroid', 'base_PsfFlux', 'base_LocalBackground']
         # We'll need the "centroid" and "psfFlux" slots
-        for slot in ("shape", "psfShape", "apFlux", "modelFlux", "instFlux", "calibFlux"):
+        for slot in ("shape", "psfShape", "apFlux", "modelFlux", "gaussianFlux", "calibFlux"):
             setattr(config.slots, slot, None)
         config.copyColumns = {}
         self.skySchema = SourceTable.makeMinimalSchema()
@@ -118,9 +118,9 @@ def calculateThreshold(self, exposure, seed, sigma=None):
         self.skyMeasurement.run(catalog, exposure, catalog, exposure.getWcs())
 
         # Calculate new threshold
-        fluxes = catalog["base_PsfFlux_flux"]
+        fluxes = catalog["base_PsfFlux_instFlux"]
         area = catalog["base_PsfFlux_area"]
-        bg = catalog["base_LocalBackground_flux"]
+        bg = catalog["base_LocalBackground_instFlux"]
 
         good = (~catalog["base_PsfFlux_flag"] & ~catalog["base_LocalBackground_flag"] &
                 np.isfinite(fluxes) & np.isfinite(area) & np.isfinite(bg))
@@ -134,7 +134,7 @@ def calculateThreshold(self, exposure, seed, sigma=None):
 
         lq, uq = np.percentile((fluxes - bg*area)[good], [25.0, 75.0])
         stdevMeas = 0.741*(uq - lq)
-        medianError = np.median(catalog["base_PsfFlux_fluxErr"][good])
+        medianError = np.median(catalog["base_PsfFlux_instFluxErr"][good])
         return Struct(multiplicative=medianError/stdevMeas, additive=bgMedian)
 
     def detectFootprints(self, exposure, doSmooth=True, sigma=None, clearMask=True, expId=None):

python/lsst/meas/algorithms/matcherSourceSelector.py

@@ -92,10 +92,10 @@ def _getSchemaKeys(self, schema):
         self.centroidFlagKey = schema["slot_Centroid_flag"].asKey()
 
         fluxPrefix = "slot_%sFlux_" % (self.config.sourceFluxType,)
-        self.fluxField = fluxPrefix + "flux"
-        self.fluxKey = schema[fluxPrefix + "flux"].asKey()
+        self.fluxField = fluxPrefix + "instFlux"
+        self.fluxKey = schema[fluxPrefix + "instFlux"].asKey()
         self.fluxFlagKey = schema[fluxPrefix + "flag"].asKey()
-        self.fluxErrKey = schema[fluxPrefix + "fluxErr"].asKey()
+        self.fluxErrKey = schema[fluxPrefix + "instFluxErr"].asKey()
 
     def _isParent(self, sourceCat):
         """Return True for each source that is the parent source."""
@@ -124,7 +124,7 @@ def _isUsable(self, sourceCat):
         For a source to be usable it must:
         - have a valid centroid
         - not be deblended
-        - have a valid flux (of the type specified in this object's constructor)
+        - have a valid instFlux (of the type specified in this object's constructor)
         - have adequate signal-to-noise
         """
         return self._hasCentroid(sourceCat) \
@@ -166,7 +166,7 @@ def _isUsable(self, sourceCat):
         For a source to be usable it must:
         - have a valid centroid
         - not be deblended
-        - have a valid flux (of the type specified in this object's constructor)
+        - have a valid instFlux (of the type specified in this object's constructor)
         - have adequate signal-to-noise
         """
         result = MatcherSourceSelectorTask._isUsable(self, sourceCat)

python/lsst/meas/algorithms/measureApCorr.py

@@ -44,11 +44,11 @@ def __init__(self, name, schema):
 
         @parma[in] name  name of flux measurement algorithm, e.g. "base_PsfFlux"
         @param[in,out] schema  catalog schema containing the flux field
-            read: {name}_flux, {name}_fluxErr, {name}_flag
+            read: {name}_instFlux, {name}_instFluxErr, {name}_flag
             added: apcorr_{name}_used
         """
-        self.flux = schema.find(name + "_flux").key
-        self.err = schema.find(name + "_fluxErr").key
+        self.flux = schema.find(name + "_instFlux").key
+        self.err = schema.find(name + "_instFluxErr").key
         self.flag = schema.find(name + "_flag").key
         self.used = schema.addField("apcorr_" + name + "_used", type="Flag",
                                     doc="set if source was used in measuring aperture correction")
@@ -200,8 +200,8 @@ def run(self, exposure, catalog):
         @return an lsst.pipe.base.Struct containing:
         - apCorrMap: an aperture correction map (lsst.afw.image.ApCorrMap) that contains two entries
             for each flux field:
-            - flux field (e.g. base_PsfFlux_flux): 2d model
-            - flux sigma field (e.g. base_PsfFlux_fluxErr): 2d model of error
+            - flux field (e.g. base_PsfFlux_instFlux): 2d model
+            - flux sigma field (e.g. base_PsfFlux_instFluxErr): 2d model of error
         """
         bbox = exposure.getBBox()
         import lsstDebug
@@ -218,8 +218,8 @@ def run(self, exposure, catalog):
 
         # Outer loop over the fields we want to correct
         for name, keys in self.toCorrect.items():
-            fluxName = name + "_flux"
-            fluxErrName = name + "_fluxErr"
+            fluxName = name + "_instFlux"
+            fluxErrName = name + "_instFluxErr"
 
             # Create a more restricted subset with only the objects where the to-be-correct flux
             # is not flagged.

python/lsst/meas/algorithms/objectSizeStarSelector.py

@@ -64,7 +64,7 @@ class ObjectSizeStarSelectorConfig(BaseSourceSelectorTask.ConfigClass):
     sourceFluxField = pexConfig.Field(
         doc="Name of field in Source to use for flux measurement",
         dtype=str,
-        default="base_GaussianFlux_flux",
+        default="base_GaussianFlux_instFlux",
     )
     widthStdAllowed = pexConfig.Field(
         doc="Standard deviation of width allowed to be interpreted as good stars",

python/lsst/meas/algorithms/sourceSelector.py

@@ -232,7 +232,7 @@ class FluxLimit(BaseLimit):
     the limit, and then the `apply` method can be used to identify sources
     in the catalog that match the configured limit.
     """
-    fluxField = pexConfig.Field(dtype=str, default="slot_CalibFlux_flux",
+    fluxField = pexConfig.Field(dtype=str, default="slot_CalibFlux_instFlux",
                                 doc="Name of the source flux field to use.")
 
     def apply(self, catalog):
@@ -492,8 +492,8 @@ class ScienceSourceSelectorConfig(pexConfig.Config):
     def setDefaults(self):
         pexConfig.Config.setDefaults(self)
         self.flags.bad = ["base_PixelFlags_flag_edge", "base_PixelFlags_flag_saturated", "base_PsfFlux_flags"]
-        self.signalToNoise.fluxField = "base_PsfFlux_flux"
-        self.signalToNoise.errField = "base_PsfFlux_fluxErr"
+        self.signalToNoise.fluxField = "base_PsfFlux_instFlux"
+        self.signalToNoise.errField = "base_PsfFlux_instFluxErr"
 
 
 @pexConfig.registerConfigurable("science", sourceSelectorRegistry)

python/lsst/meas/algorithms/utils.py

@@ -288,7 +288,7 @@ def showPsfCandidates(exposure, psfCellSet, psf=None, frame=None, normalize=True
                 lab = "%d chi^2 %.1f" % (objId, rchi2)
                 ctype = ds9.RED if cand.isBad() else ds9.GREEN
             else:
-                lab = "%d flux %8.3g" % (objId, cand.getSource().getPsfFlux())
+                lab = "%d flux %8.3g" % (objId, cand.getSource().getPsfInstFlux())
                 ctype = ds9.GREEN
 
             mos.append(im, lab, ctype)
@@ -772,11 +772,11 @@ def showPsfResiduals(exposure, sourceSet, magType="psf", scale=10, frame=None):
 
         try:
             if magType == "ap":
-                flux = s.getApFlux()
+                flux = s.getApInstFlux()
             elif magType == "model":
-                flux = s.getModelFlux()
+                flux = s.getModelInstFlux()
             elif magType == "psf":
-                flux = s.getPsfFlux()
+                flux = s.getPsfInstFlux()
             else:
                 raise RuntimeError("Unknown flux type %s" % magType)
 
@@ -823,7 +823,7 @@ def saveSpatialCellSet(psfCellSet, fileName="foo.fits", frame=None):
             md.set("YCENTER", cand.getYCenter())
             md.set("BAD", cand.isBad())
             md.set("AMPL", cand.getAmplitude())
-            md.set("FLUX", cand.getSource().getPsfFlux())
+            md.set("FLUX", cand.getSource().getPsfInstFlux())
             md.set("CHI2", cand.getSource().getChi2())
 
             im.writeFits(fileName, md, mode)

src/ImagePsf.cc

@@ -50,7 +50,7 @@ double ImagePsf::doComputeApertureFlux(double radius, geom::Point2D const& posit
     afw::geom::ellipses::Axes const axes(radius, radius);
     base::ApertureFluxResult result = base::ApertureFluxAlgorithm::computeSincFlux(
             image, afw::geom::ellipses::Ellipse(axes, center), base::ApertureFluxControl());
-    return result.flux;
+    return result.instFlux;
 }
 
 afw::geom::ellipses::Quadrupole ImagePsf::doComputeShape(geom::Point2D const& position,

src/SpatialModelPsf.cc

@@ -107,7 +107,7 @@ class SetPcaImageVisitor : public afw::math::CandidateVisitor {
                                       imCandidate->getXCenter() % imCandidate->getYCenter()));
             }
 
-            _imagePca->addImage(im, imCandidate->getSource()->getPsfFlux());
+            _imagePca->addImage(im, imCandidate->getSource()->getPsfInstFlux());
         } catch (lsst::pex::exceptions::LengthError&) {
             return;
         }
@@ -161,7 +161,7 @@ template <typename ImageT>
 std::vector<std::shared_ptr<ImageT>> offsetKernel(
         afw::math::LinearCombinationKernel const& kernel,  ///< the Kernel to offset
         float dx, float dy                                 ///< Offset to apply
-) {
+        ) {
     afw::math::KernelList kernels = kernel.getKernelList();      // The Kernels that kernel adds together
     unsigned int const nKernel = kernels.size();                 // Number of kernel components
     std::vector<std::shared_ptr<ImageT>> kernelImages(nKernel);  // Images of each Kernel in kernels
@@ -200,7 +200,7 @@ createKernelFromPsfCandidates(
         int const nStarPerCell,     ///< max no. of stars per cell; <= 0 => infty
         bool const constantWeight,  ///< should each star have equal weight in the fit?
         int const border            ///< Border size for background subtraction
-) {
+        ) {
     typedef typename afw::image::Image<PixelT> ImageT;
     typedef typename afw::image::MaskedImage<PixelT> MaskedImageT;
 
@@ -354,7 +354,7 @@ std::pair<double, double> fitKernel(ModelImageT const& mImage,  // The model ima
                                     double lambda = 0.0,        // floor for variance is lambda*data
                                     bool detected = true,       // only fit DETECTED pixels?
                                     int const id = -1           // ID for this object; useful in debugging
-) {
+                                    ) {
     assert(data.getDimensions() == mImage.getDimensions());
     assert(id == id);
     int const DETECTED = afw::image::Mask<>::getPlaneBitMask("DETECTED");
@@ -595,7 +595,7 @@ std::pair<bool, double> fitSpatialKernelFromPsfCandidates(
         int const nStarPerCell,                     ///< max no. of stars per cell; <= 0 => infty
         double const tolerance,                     ///< Tolerance; how close chi^2 should be to true minimum
         double const lambda                         ///< floor for variance is lambda*data
-) {
+        ) {
     int const nComponents = kernel->getNKernelParameters();
     int const nSpatialParams = kernel->getNSpatialParameters();
     //
@@ -880,7 +880,7 @@ std::pair<bool, double> fitSpatialKernelFromPsfCandidates(
         int const nStarPerCell,                     ///< max no. of stars per cell; <= 0 => infty
         double const tolerance,                     ///< Tolerance; how close chi^2 should be to true minimum
         double const lambda                         ///< floor for variance is lambda*data
-) {
+        ) {
     if (doNonLinearFit) {
         return fitSpatialKernelFromPsfCandidates<PixelT>(kernel, psfCells, nStarPerCell, tolerance);
     }
@@ -978,7 +978,7 @@ double subtractPsf(afw::detection::Psf const& psf,  ///< the PSF to subtract
                    double x,                        ///< column position
                    double y,                        ///< row position
                    double psfFlux                   ///< object's PSF flux (if not NaN)
-) {
+                   ) {
     if (std::isnan(x + y)) {
         return std::numeric_limits<double>::quiet_NaN();
     }
@@ -1038,7 +1038,7 @@ std::pair<std::vector<double>, afw::math::KernelList> fitKernelParamsToImage(
         afw::math::LinearCombinationKernel const& kernel,  ///< the Kernel to fit
         Image const& image,                                ///< the image to be fit
         geom::Point2D const& pos                           ///< the position of the object
-) {
+        ) {
     typedef afw::image::Image<afw::math::Kernel::Pixel> KernelT;
 
     afw::math::KernelList kernels = kernel.getKernelList();  // the Kernels that kernel adds together
@@ -1106,7 +1106,7 @@ std::pair<std::shared_ptr<afw::math::Kernel>, std::pair<double, double>> fitKern
         afw::math::LinearCombinationKernel const& kernel,  ///< the Kernel to fit
         Image const& image,                                ///< the image to be fit
         geom::Point2D const& pos                           ///< the position of the object
-) {
+        ) {
     std::pair<std::vector<double>, afw::math::KernelList> const fit =
             fitKernelParamsToImage(kernel, image, pos);
     std::vector<double> params = fit.first;