Update the SkyObject[Source]HistPlot classes

This updates the skyObject and skySource analysisPlot classes to
adapt to the new range setting configs in the HistPlot action.
This also adds vertical solid black lines at a "reference" value
(0.0 here) in both the flux and S/N panels as well as a shaded
PDF(0, 1) distribution on the now density normalized S/N plots
for reference.

This also adds the GaaP 1p0 flux to the skyObject histograms (GaaP
fluxes are not measured for the visit-level sky sources).

python/lsst/analysis/tools/analysisPlots/skyObject.py

@@ -61,16 +61,37 @@ def setDefaults(self):
         self.prep.selectors.skyObjectSelector = SkyObjectSelector()
 
         self.process.buildActions.hist_psf_flux = LoadVector(vectorKey="{band}_psfFlux")
-        self.process.buildActions.hist_09_flux = LoadVector(vectorKey="{band}_ap09Flux")
+        self.process.buildActions.hist_ap09_flux = LoadVector(vectorKey="{band}_ap09Flux")
+        self.process.buildActions.hist_gaap1p0_flux = LoadVector(vectorKey="{band}_gaap1p0Flux")
         self.process.buildActions.hist_psf_sn = SNCalculator(fluxType="{band}_psfFlux")
-        self.process.buildActions.hist_09_sn = SNCalculator(fluxType="{band}_ap09Flux")
+        self.process.buildActions.hist_ap09_sn = SNCalculator(fluxType="{band}_ap09Flux")
+        self.process.buildActions.hist_gaap1p0_sn = SNCalculator(fluxType="{band}_gaap1p0Flux")
 
         self.produce = HistPlot()
 
         self.produce.panels["panel_flux"] = HistPanel()
         self.produce.panels["panel_flux"].label = "Flux (nJy)"
-        self.produce.panels["panel_flux"].hists = dict(hist_psf_flux="psfFlux", hist_09_flux="ap09Flux")
+        self.produce.panels["panel_flux"].hists = dict(
+            hist_psf_flux="psfFlux",
+            hist_ap09_flux="ap09Flux",
+            hist_gaap1p0_flux="gaap1p0Flux",
+        )
+        self.produce.panels["panel_flux"].rangeType = "sigmaMad"
+        self.produce.panels["panel_flux"].lowerRange = 3.5
+        self.produce.panels["panel_flux"].upperRange = 3.5
+        self.produce.panels["panel_flux"].referenceValue = 0.0
+        self.produce.panels["panel_flux"].validate()
 
         self.produce.panels["panel_sn"] = HistPanel()
         self.produce.panels["panel_sn"].label = "S/N"
-        self.produce.panels["panel_sn"].hists = dict(hist_psf_sn="psfFlux S/N", hist_09_sn="ap09Flux S/N")
+        self.produce.panels["panel_sn"].hists = dict(
+            hist_psf_sn="psf S/N",
+            hist_ap09_sn="ap09 S/N",
+            hist_gaap1p0_sn="gaap1p0 S/N",
+        )
+        self.produce.panels["panel_sn"].rangeType = "sigmaMad"
+        self.produce.panels["panel_sn"].lowerRange = 3.5
+        self.produce.panels["panel_sn"].upperRange = 3.5
+        self.produce.panels["panel_sn"].referenceValue = 0.0
+        self.produce.panels["panel_sn"].histDensity = True
+        self.produce.panels["panel_sn"].validate()

python/lsst/analysis/tools/analysisPlots/skySource.py

@@ -65,16 +65,33 @@ def setDefaults(self):
         self.prep.selectors.skySourceSelector = SkySourceSelector()
 
         self.process.buildActions.hist_psf_flux = LoadVector(vectorKey="psfFlux")
-        self.process.buildActions.hist_09_flux = LoadVector(vectorKey="ap09Flux")
+        self.process.buildActions.hist_ap09_flux = LoadVector(vectorKey="ap09Flux")
         self.process.buildActions.hist_psf_sn = SNCalculator(fluxType="psfFlux")
-        self.process.buildActions.hist_09_sn = SNCalculator(fluxType="ap09Flux")
+        self.process.buildActions.hist_ap09_sn = SNCalculator(fluxType="ap09Flux")
 
         self.produce = HistPlot()
 
         self.produce.panels["panel_flux"] = HistPanel()
         self.produce.panels["panel_flux"].label = "Flux (nJy)"
-        self.produce.panels["panel_flux"].hists = dict(hist_psf_flux="psfFlux", hist_09_flux="ap09Flux")
+        self.produce.panels["panel_flux"].hists = dict(
+            hist_psf_flux="psfFlux",
+            hist_ap09_flux="ap09Flux",
+        )
+        self.produce.panels["panel_flux"].rangeType = "sigmaMad"
+        self.produce.panels["panel_flux"].lowerRange = 3.5
+        self.produce.panels["panel_flux"].upperRange = 3.5
+        self.produce.panels["panel_flux"].referenceValue = 0.0
+        self.produce.panels["panel_flux"].validate()
 
         self.produce.panels["panel_sn"] = HistPanel()
         self.produce.panels["panel_sn"].label = "S/N"
-        self.produce.panels["panel_sn"].hists = dict(hist_psf_sn="psfFlux S/N", hist_09_sn="ap09Flux S/N")
+        self.produce.panels["panel_sn"].hists = dict(
+            hist_psf_sn="psf S/N",
+            hist_ap09_sn="ap09 S/N",
+        )
+        self.produce.panels["panel_sn"].rangeType = "sigmaMad"
+        self.produce.panels["panel_sn"].lowerRange = 3.5
+        self.produce.panels["panel_sn"].upperRange = 3.5
+        self.produce.panels["panel_sn"].referenceValue = 0.0
+        self.produce.panels["panel_sn"].histDensity = True
+        self.produce.panels["panel_sn"].validate()