Modified grid contrast calculation

		  0.6, //2.0, //0.5, //0.0, //  correlationLowPassSigma, - fraction of the frequency range

		  0.4,  // correlationRingWidth- ring (around r=0.5 dist to opposite corr) width , center circle r=0.5*PATTERN_DETECT.corrRingWidth

		  8.0, // 3.0, //  correlationMaxOffset,     // maximal distance between predicted and actual pattern node

		  1.0, // 2.0, // increase back to .5? was needed with fisheye. 5.0, //	double correlationMinContrast,   // minimal contrast for the pattern to pass

		  1.5, // 2.5, // correlationMinInitialContrast,   // minimal contrast for the pattern of the center (initial point)

		  3.0, // 2.0, // increase back to .5? was needed with fisheye. 5.0, //	double correlationMinContrast,   // minimal contrast for the pattern to pass

		  3.5, // 2.5, // correlationMinInitialContrast,   // minimal contrast for the pattern of the center (initial point)

		  1.0, //this.correlationMinAbsoluteContrast,   // minimal contrast for the pattern to pass, does not compensate for low ligt

		  // 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

		  0.1, // contrastSelectSigma, // Gaussian sigma to select correlation centers (fraction of UV period), 0.1

							imp.getTitle());

//					model_corr=fht_instance.correlate(pixels[4],sim_pix[4],0); // destroys operands

					WVgreens=matrix2x2_mul(patternMap[nTileY][nTileX],invConvMatrix);

					contrast= matchSimulatedPattern.correlationContrast (model_corr,    // square pixel array

					contrast= matchSimulatedPattern.correlationContrast (

							model_corr,    // square pixel array

							pixels[4],

							WVgreens,    // wave vectors (same units as the pixels array)

//							patternDetectParameters.corrRingWidth,   // ring (around r=0.5 dist to opposite corr) width

							0.1, // contrastSelectSigma

							0.5, // contrastAverageSigma

							0.0,    //  x0,              // center coordinates

							0.0,    //y0,

							title);   // title base for optional plots names

							title)[0];   // title base for optional plots names

					//      System.out.println("Pattern correlation contrast= "+IJ.d2s(contrast,3)+ ", threshold is "+PATTERN_DETECT.minCorrContrast);

					if (!(contrast >= patternDetectParameters.minCorrContrast)) patternMap[nTileY][nTileX]=null; // still getting NaN sometimes

				}

			gd.addNumericField("Correlation low-pass sigma (fraction of sqrt(2)*Nyquist, lower - more filtering, 0 -none):",distortionParameters.correlationLowPassSigma, 3);

			gd.addNumericField("Correlation maximal offset from predicted:",distortionParameters.correlationMaxOffset, 3);

			gd.addNumericField("Detection ring width (fraction):",      distortionParameters.correlationRingWidth, 3);

			gd.addNumericField("Correlation minimal contrast:",         distortionParameters.correlationMinContrast, 3);

			gd.addNumericField("Correlation minimal contrast for initial search:", distortionParameters.correlationMinInitialContrast, 3);

			gd.addNumericField("Correlation minimal contrast (normalized)",         distortionParameters.correlationMinContrast, 3);

			gd.addNumericField("Correlation minimal contrast for initial search (normalized)", distortionParameters.correlationMinInitialContrast, 3);

			gd.addNumericField("Correlation minimal contrast (absolute)",         distortionParameters.correlationMinContrast, 3);

			gd.addNumericField("Correlation minimal contrast for initial search (absolute)", distortionParameters.correlationMinInitialContrast, 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("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);

			gd.addNumericField("Minimal initial pattern cluster size (0 - disable retries)", distortionParameters.minimalPatternCluster, 0);

			gd.addNumericField("Scale minimal contrast if the initial cluster is nonzero but smaller", distortionParameters.scaleMinimalInitialContrast, 3);

			gd.addNumericField("Minimal initial pattern cluster size (0 - disable retries)", distortionParameters.correlationMinAbsoluteContrast, 0);

			gd.addNumericField("Scale minimal contrast if the initial cluster is nonzero but smaller", distortionParameters.correlationMinAbsoluteInitialContrast, 3);

			gd.addNumericField("Overlap of FFT areas when searching for pattern", distortionParameters.searchOverlap, 3);

			gd.addNumericField("Pattern subdivision:",                  distortionParameters.patternSubdiv, 0);

			distortionParameters.correlationMinContrast=  gd.getNextNumber();

			distortionParameters.correlationMinInitialContrast=  gd.getNextNumber();

			distortionParameters.correlationMinAbsoluteContrast=  gd.getNextNumber();

			distortionParameters.correlationMinAbsoluteInitialContrast=  gd.getNextNumber();

			distortionParameters.scaleFirstPassContrast=  gd.getNextNumber();

			distortionParameters.contrastSelectSigma=  gd.getNextNumber();

			distortionParameters.contrastAverageSigma=  gd.getNextNumber();