Remaking descriptors

numass-control/cryotemp/src/main/kotlin/inr/numass/control/cryotemp/PKT8Display.kt

@@ -146,7 +146,7 @@ class PKT8Display : DeviceDisplayFX<PKT8Device>(), PKT8ValueListener {
 
         private val plotFrame: PlotFrame by lazy {
             JFreeChartFrame(plotFrameMeta).apply {
-                plots.descriptor = Descriptors.buildDescriptor(TimePlot::class.java)
+                plots.descriptor = Descriptors.forElement(TimePlot::class.java)
                 PlotUtils.setXAxis(this, "timestamp", "", "time")
             }
         }

numass-main/src/main/groovy/inr/numass/scripts/temp/FSSEffect.groovy

@@ -22,7 +22,7 @@ new GrindShell(ctx).eval {
 
     def beta = new NumassBeta();
 
-    def params = MetaMorph.morphNode(ParamSet,
+    def params = MetaMorph.morph(ParamSet,
             Grind.buildMeta("params") {
                 E0(value: 18575, err: 0.1)
                 mnu2(value: 0, err: 0.01)

numass-main/src/main/groovy/inr/numass/scripts/temp/JoinSpectra.groovy

@@ -2,7 +2,6 @@ package inr.numass.scripts.temp
 
 import hep.dataforge.context.Context
 import hep.dataforge.context.Global
-import hep.dataforge.description.Descriptors
 import hep.dataforge.grind.Grind
 import hep.dataforge.grind.GrindShell
 import hep.dataforge.grind.helpers.PlotHelper
@@ -61,7 +60,7 @@ new GrindShell(ctx).eval {
 
     PlotFrame frame = (plots as PlotHelper).getManager().getPlotFrame("test", "spectra")
 
-    frame.plots.setDescriptor(Descriptors.buildDescriptor(DataPlot))
+    frame.plots.setType(DataPlot)
     frame.plots.configure(showErrors: false, showSymbol: false, showLine: true, connection: "step")
 
     joined.points.filter { it.voltage in [14000d, 15000d, 16000d, 17000d, 18000d] }.forEach {

numass-main/src/main/kotlin/inr/numass/data/Visualization.kt

@@ -51,7 +51,7 @@ fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName:
                 "showLine" to true
                 "showSymbol" to false
                 "showErrors" to false
-            }.setType(DataPlot::class)
+            }.setType<DataPlot>()
 
             val plot = DataPlot.plot(
                     plotName,

numass-main/src/main/kotlin/inr/numass/scripts/DifferentialSpectrum.kt

@@ -60,7 +60,7 @@ fun main(args: Array<String>) {
     }
 
     val frame = displayChart("differential").apply {
-        this.plots.descriptor = Descriptors.buildDescriptor(DataPlot::class)
+        this.plots.descriptor = Descriptors.forObject(DataPlot::class)
         this.plots.configureValue("showLine", true)
     }
 

numass-main/src/main/kotlin/inr/numass/scripts/InversedChain.kt

@@ -66,7 +66,7 @@ fun main(args: Array<String>) {
     for (hv in arrayOf(14000.0, 14500.0, 15000.0, 15500.0, 16050.0)) {
 
         val frame = displayChart("integral[$hv]").apply {
-            this.plots.descriptor = Descriptors.buildDescriptor(DataPlot::class)
+            this.plots.descriptor = Descriptors.forObject(DataPlot::class)
             this.plots.configureValue("showLine", true)
         }
 

numass-main/src/main/kotlin/inr/numass/scripts/InversedChainProto.kt

@@ -47,7 +47,7 @@ fun main(args: Array<String>) {
     val point = ProtoNumassPoint.readFile(Paths.get("D:\\Work\\Numass\\data\\2017_05_frames\\Fill_3_events\\set_33\\p36(30s)(HV1=17000).df"))
 
     val frame = displayChart("integral").apply {
-        this.plots.descriptor = Descriptors.buildDescriptor(DataPlot::class)
+        this.plots.descriptor = Descriptors.forObject(DataPlot::class)
         this.plots.configureValue("showLine", true)
     }
 

numass-main/src/main/kotlin/inr/numass/scripts/models/IntegralSpectrum.kt

@@ -29,6 +29,7 @@ import hep.dataforge.stat.fit.ParamSet
 import inr.numass.NumassPlugin
 import inr.numass.models.NBkgSpectrum
 import inr.numass.models.sterile.SterileNeutrinoSpectrum
+import kotlin.math.sqrt
 
 
 fun main(args: Array<String>) {
@@ -46,24 +47,36 @@ fun main(args: Array<String>) {
     //val model = XYModel(Meta.empty(), SpectrumAdapter(Meta.empty()), spectrum)
 
     val params = ParamSet().apply {
-        setPar("N", 2e6 / 100, 6.0, 0.0, Double.POSITIVE_INFINITY)
+        setPar("N", 8e5, 6.0, 0.0, Double.POSITIVE_INFINITY)
         setPar("bkg", 2.0, 0.03)
         setPar("E0", 18575.0, 1.0)
         setPar("mnu2", 0.0, 1.0)
-        setParValue("msterile2", (8000 * 8000).toDouble())
+        setParValue("msterile2", (1000 * 1000).toDouble())
         setPar("U2", 0.0, 1e-3)
         setPar("X", 0.1, 0.01)
         setPar("trap", 1.0, 0.01)
     }
 
-    fun plotSpectrum(name: String, vararg override: Pair<String, Double>): Plot {
+    fun ParamSet.update(vararg override: Pair<String, Double>): ParamSet = this.copy().apply {
-        val pars = params.copy().apply {
         override.forEach {
             setParValue(it.first, it.second)
         }
     }
+
+    fun plotSpectrum(name: String, vararg override: Pair<String, Double>): Plot {
         val x = (14000.0..18600.0).step(100.0).toList()
-        val y = x.map { spectrum.value(it, pars) }
+        val y = x.map { spectrum.value(it, params.update(*override)) }
+        return DataPlot.plot(name, x.toDoubleArray(), y.toDoubleArray())
+    }
+
+    fun plotResidual(name: String, vararg override: Pair<String, Double>): Plot {
+        val x = (14000.0..18600.0).step(100.0).toList()
+        val y = x.map {
+            val base = spectrum.value(it, params)
+            val mod = spectrum.value(it, params.update(*override))
+            val err = sqrt(base/1e6)
+            return@map (mod - base) / err
+        }
         return DataPlot.plot(name, x.toDoubleArray(), y.toDoubleArray())
     }
 
@@ -75,8 +88,22 @@ fun main(args: Array<String>) {
             "showSymbol" to false
             "showErrors" to false
         }
-        add(plotSpectrum("base"))
+        plots.setType<DataPlot>()
-        add(plotSpectrum("noTrap", "trap" to 0.0))
+        +plotSpectrum("base")
+        +plotSpectrum("noTrap", "trap" to 0.0)
+    }
+
+    context.plot("residuals") {
+        plots.configure {
+            "showLine" to true
+            "showSymbol" to false
+            "showErrors" to false
+        }
+        plots.setType<DataPlot>()
+        +plotResidual("sterile_1","U2" to 1e-3)
+        +plotResidual("sterile_3","msterile2" to (3000*3000).toDouble(),"U2" to 1e-3)
+        +plotResidual("X","X" to 0.11)
+        +plotResidual("trap", "trap" to 0.99)
     }
 
 }