Minor fixes

numass-main/src/main/groovy/inr/numass/scripts/underflow/Underflow.groovy

@@ -37,7 +37,7 @@ Meta meta = buildMeta {
     data(dir: "D:\\Work\\Numass\\data\\2017_05\\Fill_2", mask: "set_.{1,3}")
     generate(t0: 3e4)
     subtract(reference: 18500)
-    fit(xlow: 450, xHigh: 700, upper: 3100, binning: 20)
+    fit(xLow: 450, xHigh: 700, upper: 3100, binning: 20)
 }
 
 
@@ -90,7 +90,7 @@ shell.eval {
         Table correctionTable = TableTransform.filter(
                 UnderflowFitter.fitAllPoints(
                         spectraMap,
-                        meta["fit.xlow"] as int,
+                        meta["fit.xLow"] as int,
                         xHigh,
                         meta["fit.upper"] as int,
                         meta["fit.binning"] as int
@@ -105,7 +105,28 @@ shell.eval {
         }
 
         Platform.runLater {
-            (plots as PlotHelper).plot(correctionTable, new XYAdapter("U", "correction"), "upper_${xHigh}", "Correction")
+            (plots as PlotHelper).plot(correctionTable, new XYAdapter("U", "correction"), "upper_${xHigh}", "upper")
+        }
+    }
+
+
+    [400, 450, 500].each { xLow ->
+        println "Caclculate correctuion for lower linearity bound: ${xLow}"
+        Table correctionTable = TableTransform.filter(
+                UnderflowFitter.fitAllPoints(
+                        spectraMap,
+                        xLow,
+                        meta["fit.xHigh"] as int,
+                        meta["fit.upper"] as int,
+                        meta["fit.binning"] as int
+                ),
+                "correction",
+                0,
+                2
+        )
+
+        Platform.runLater {
+            (plots as PlotHelper).plot(correctionTable, new XYAdapter("U", "correction"), "lower_${xLow}", "lower")
         }
     }
 }

numass-main/src/main/java/inr/numass/utils/NumassIntegrator.java

@@ -20,7 +20,7 @@ public class NumassIntegrator {
     private static UnivariateIntegrator defaultIntegrator;
     private static UnivariateIntegrator highDensityIntegrator;
 
-    public static UnivariateIntegrator getFastInterator() {
+    public synchronized static UnivariateIntegrator getFastInterator() {
         if (fastInterator == null) {
             LoggerFactory.getLogger(NumassIntegrator.class).debug("Creating fast integrator");
             fastInterator = new GaussRuleIntegrator((int) (mult * 100));
@@ -28,7 +28,7 @@ public class NumassIntegrator {
         return fastInterator;
     }
 
-    public static UnivariateIntegrator getDefaultIntegrator() {
+    public synchronized static UnivariateIntegrator getDefaultIntegrator() {
         if (defaultIntegrator == null) {
             LoggerFactory.getLogger(NumassIntegrator.class).debug("Creating default integrator");
             defaultIntegrator = new GaussRuleIntegrator((int) (mult * 300));
@@ -36,7 +36,7 @@ public class NumassIntegrator {
         return defaultIntegrator;
     }
 
-    public static UnivariateIntegrator getHighDensityIntegrator() {
+    public synchronized static UnivariateIntegrator getHighDensityIntegrator() {
         if (highDensityIntegrator == null) {
             LoggerFactory.getLogger(NumassIntegrator.class).debug("Creating high precision integrator");
             highDensityIntegrator = new GaussRuleIntegrator((int) (mult * 500));

numass-main/src/main/kotlin/inr/numass/tasks/NumassFitScanSummaryTask.kt

@@ -29,13 +29,13 @@ class NumassFitScanSummaryTask : AbstractTask<Table>() {
     override fun run(model: TaskModel, data: DataNode<*>): DataNode<Table> {
         val builder = DataSet.builder(Table::class.java)
         val action = FitSummaryAction()
-        val input = data.getCheckedNode("fitscan", FitResult::class.java)
+        val input = data.checked(FitResult::class.java)
         input.nodeStream().filter { it -> it.dataSize(false) > 0 }.forEach { node -> builder.putData(node.name, action.run(model.context, node, model.meta()).data) }
         return builder.build()
     }
 
     override fun buildModel(model: TaskModel.Builder, meta: Meta) {
-        model.dependsOn("fitscan", meta, "fitscan")
+        model.dependsOn("fitscan", meta)
     }
 
 

numass-main/src/main/kotlin/inr/numass/tasks/NumassFitScanTask.kt

@@ -72,11 +72,7 @@ class NumassFitScanTask : AbstractTask<FitResult>() {
     override fun buildModel(model: TaskModel.Builder, meta: Meta) {
         model.configure(meta.getMetaOrEmpty("scan"))
         model.configure { it -> it.putNode(meta.getMetaOrEmpty("fit")) }
-        when {
-            meta.hasMeta("filter") -> model.dependsOn("filter", meta, "prepare")
-            meta.hasMeta("empty") -> model.dependsOn("subtractEmpty", meta, "prepare")
-            else -> model.dependsOn("prepare", meta, "prepare")
-        }
+        model.dependsOn("filter", meta)
     }
 
     override fun getName(): String {

numass-main/src/main/kotlin/inr/numass/tasks/NumassFitTask.kt

@@ -56,6 +56,6 @@ class NumassFitTask : SingleActionTask<Table, FitResult>() {
     }
 
     override fun buildModel(model: TaskModel.Builder, meta: Meta) {
-        model.dependsOn("transform", meta);
+        model.dependsOn("filter", meta);
     }
 }

numass-main/src/main/kotlin/inr/numass/tasks/NumassTableFilterTask.kt

@@ -33,7 +33,7 @@ class NumassTableFilterTask : SingleActionTask<Table, Table>() {
 
     override fun buildModel(model: TaskModel.Builder, meta: Meta) {
         if (meta.hasMeta("empty")) {
-            model.dependsOn("did", meta)
+            model.dependsOn("dif", meta)
         } else {
             model.dependsOn("transform", meta)
         }