reparing grid updtae, fixed typo

src/main/java/Aberration_Calibration.java

@@ -320,7 +320,7 @@ public static MatchSimulatedPattern.DistortionParameters DISTORTION =new MatchSi
 		  // TODO: adjust to a reasonable number
 		  1.0, //this.correlationMinAbsoluteInitialContrast,   // minimal contrast for the pattern of the center (initial point)
 		  
-		  0.8, //	scaleFirstPassContrast, // Decrease contrast of cells that are too close to the border to be processed in rifinement pass
+		  0.8, //	scaleFirstPassContrast, // Decrease contrast of cells that are too close to the border to be processed in refinement pass
 		  0.1, // contrastSelectSigma, // Gaussian sigma to select correlation centers (fraction of UV period), 0.1
 		  0.5, //contrastAverageSigma, // Gaussian sigma to average correlation variations (as contrast reference) 0.5
 		  
@@ -19725,7 +19725,7 @@ use the result to create a rejectiobn mask - if the energy was high, (multiplica
 			gd.addNumericField("Correlation minimal contrast (absolute)",         distortionParameters.correlationMinAbsoluteContrast, 3);
 			gd.addNumericField("Correlation minimal contrast for initial search (absolute)", distortionParameters.correlationMinAbsoluteInitialContrast, 3);
 			
-			gd.addNumericField("Decrease contrast of cells that are too close to the border to be processed in rifinement pass", distortionParameters.scaleFirstPassContrast, 3);
+			gd.addNumericField("Decrease contrast of cells that are too close to the border to be processed in refinement pass", distortionParameters.scaleFirstPassContrast, 3);
 			gd.addNumericField("Gaussian sigma to select correlation centers (fraction of UV period), 0.1", distortionParameters.contrastSelectSigma, 3);
 			gd.addNumericField("Gaussian sigma to average correlation variations (as contrast reference), 0.5", distortionParameters.contrastAverageSigma, 3);
 

src/main/java/LensAdjustment.java

@@ -124,8 +124,8 @@ public class LensAdjustment {
 		int numAbsolutePoints=0;
 		if (updating) {		
 			// add new nodes if the appeared after shift of the pattern
-			if (debug_level>1) { // calculate/print number of defined nodes in the grid
-				System.out.println("updateFocusGrid(), number of defined grid cells (before distortions()) = "+matchSimulatedPattern.numDefinedCells());
+			if (debug_level>0) { // calculate/print number of defined nodes in the grid
+				System.out.println("updateFocusGrid(), number of already defined grid cells (before distortions()) = "+matchSimulatedPattern.numDefinedCells());
 			}
 			matchSimulatedPattern.distortions(
 					null, // is not used in update mode

src/main/java/MatchSimulatedPattern.java

@@ -3312,11 +3312,11 @@ public class MatchSimulatedPattern {
 //		   double [][][] nodes=null;
 		   Queue<GridNode> nodeQueue = new ConcurrentLinkedQueue<GridNode>();		   
 		   boolean fromVeryBeginning=true;
-		   for (int i=3;i<triedIndices.length;i++) if (triedIndices[i]){ // do not count first three
+		   if (!updating) {
+			   for (int i=3;i<triedIndices.length;i++) if (triedIndices[i]){ // do not count first three NPE
 				   fromVeryBeginning=false;
 				   break;
 			   }
-		   if (!updating) {
 			   double [] point = new double[2];
 			   int tryHor=0,tryVert=0;
 //				distortionParameters.searchOverlap=goniometerParameters.searchOverlap;
@@ -10299,7 +10299,7 @@ error=Sum(W(x,y)*(F^2 +  2*F*(A*x^2+B*y^2+C*x*y+D*x+E*y-Z(x,y)) +(...) )
 				double correlationMinAbsoluteContrast,   // minimal contrast for the pattern to pass, does not compensate for low ligt
 				double correlationMinAbsoluteInitialContrast,   // minimal contrast for the pattern of the center (initial point)
 
-				double scaleFirstPassContrast, // Decrease contrast of cells that are too close to the border to be processed in rifinement pass
+				double scaleFirstPassContrast, // Decrease contrast of cells that are too close to the border to be processed in refinement pass
 				double contrastSelectSigma, // Gaussian sigma to select correlation centers (fraction of UV period), 0.1
 				double contrastAverageSigma, // Gaussian sigma to average correlation variations (as contrast reference) 0.5
 				int    minimalPatternCluster,       //    minimal pattern cluster size (0 - disable retries)
@@ -10360,7 +10360,7 @@ error=Sum(W(x,y)*(F^2 +  2*F*(A*x^2+B*y^2+C*x*y+D*x+E*y-Z(x,y)) +(...) )
 			this.correlationMinInitialContrast=correlationMinInitialContrast;
 			this.correlationMinAbsoluteContrast=correlationMinAbsoluteContrast;   // minimal contrast for the pattern to pass, does not compensate for low ligt
 			this.correlationMinAbsoluteInitialContrast=correlationMinAbsoluteInitialContrast;   // minimal contrast for the pattern of the center (initial point)
-			this.scaleFirstPassContrast=scaleFirstPassContrast; // Decrease contrast of cells that are too close to the border to be processed in rifinement pass
+			this.scaleFirstPassContrast=scaleFirstPassContrast; // Decrease contrast of cells that are too close to the border to be processed in refinement pass
 			this.contrastSelectSigma=contrastSelectSigma; // Gaussian sigma to select correlation centers (fraction of UV period), 0.1
 			this.contrastAverageSigma=contrastAverageSigma; // Gaussian sigma to average correlation variations (as contrast reference) 0.5
 			this.minimalPatternCluster=minimalPatternCluster;        //    minimal pattern cluster size (0 - disable retries)
@@ -10423,7 +10423,7 @@ error=Sum(W(x,y)*(F^2 +  2*F*(A*x^2+B*y^2+C*x*y+D*x+E*y-Z(x,y)) +(...) )
 			this.correlationMinInitialContrast,
 			this.correlationMinAbsoluteContrast,   // minimal contrast for the pattern to pass, does not compensate for low ligt
 			this.correlationMinAbsoluteInitialContrast,   // minimal contrast for the pattern of the center (initial point)
-			this.scaleFirstPassContrast, // Decrease contrast of cells that are too close to the border to be processed in rifinement pass
+			this.scaleFirstPassContrast, // Decrease contrast of cells that are too close to the border to be processed in refinement pass
 			this.contrastSelectSigma, // Gaussian sigma to select correlation centers (fraction of UV period), 0.1
 			this.contrastAverageSigma, // Gaussian sigma to average correlation variations (as contrast reference) 0.5
 			this.minimalPatternCluster,        //    minimal pattern cluster size (0 - disable retries)