diff -u -r1.1 -r1.2
--- ExponentialNoise.java	27 Jun 2005 21:34:31 -0000	1.1
+++ ExponentialNoise.java	28 Jun 2005 21:55:39 -0000	1.2
@@ -13,7 +13,7 @@

  * exponential distribution.
  *
  * @author Guilherme Lima

- * @version $Id: ExponentialNoise.java,v 1.1 2005/06/27 21:34:31 lima Exp $

+ * @version $Id: ExponentialNoise.java,v 1.2 2005/06/28 21:55:39 lima Exp $

  */
 class ExponentialNoise extends RandomNoise {
 

@@ -32,15 +32,16 @@

       _beta = params.get(5);
 
       // create distribution

-      System.out.println("ExpoNoise.init(): beta="+_beta);

       _expo = DistributionFactory.newInstance().createExponentialDistribution(_beta);
     }
 
     /** Probability to get noise above the threshold */
     public double getProbabilityAboveThreshold() {
       _probAboveThreshold = Math.exp( - _threshold / _beta );

-      System.out.println("ExponentialNoise: probAboveThreshold = "
-			 +_probAboveThreshold);

+      if(_debug>0) {
+	  System.out.println("ExponentialNoise: prob above threshold = "
+			     +_probAboveThreshold);
+      }

       return _probAboveThreshold;
     }
 

diff -u -r1.1 -r1.2
--- GaussianNoise.java	27 Jun 2005 21:34:31 -0000	1.1
+++ GaussianNoise.java	28 Jun 2005 21:55:39 -0000	1.2
@@ -13,7 +13,7 @@

  * Hence the next two parameters are the gaussian mean and width.
  *
  * @author Guilherme Lima

- * @version $Id: GaussianNoise.java,v 1.1 2005/06/27 21:34:31 lima Exp $

+ * @version $Id: GaussianNoise.java,v 1.2 2005/06/28 21:55:39 lima Exp $

  */
 class GaussianNoise extends RandomNoise {
 

@@ -47,10 +47,12 @@

       double z = (_threshold - _mean) / ( Math.sqrt(2.0)*_sigma );
       // analytically correct, but gives large roundoff errors. GL050627
       //    _probAboveThreshold = 0.5 * ( 1 - Erf.erf(z) );

-

       _probAboveThreshold = 0.5 * tail( z );

-      System.out.println("GaussianNoise: probAboveThreshold = "
-			 +_probAboveThreshold);

+
+      if(_debug>0) {
+	  System.out.println("GaussianNoise: prob above threshold = "
+			     +_probAboveThreshold);
+      }

 
       if(_keepNegative) return 2*_probAboveThreshold;
       return _probAboveThreshold;

diff -u -r1.3 -r1.4
--- RandomNoise.java	27 Jun 2005 21:35:55 -0000	1.3
+++ RandomNoise.java	28 Jun 2005 21:55:39 -0000	1.4
@@ -11,7 +11,7 @@

  * class.
  *
  * @author Guilherme Lima

- * @version $Id: RandomNoise.java,v 1.3 2005/06/27 21:35:55 lima Exp $

+ * @version $Id: RandomNoise.java,v 1.4 2005/06/28 21:55:39 lima Exp $

  */
 abstract class RandomNoise extends AbstractCalHitModifier {
 

@@ -48,8 +48,10 @@

 	int ncells = _selector.getCellCount();
 	double probAbove = getProbabilityAboveThreshold();
 	double meanNoisyCount = (probAbove * ncells);

-	System.out.println("probAboveThreshold() = "+probAbove
-			   +", meanNoisyCount="+meanNoisyCount);

+	if(_debug>0) {
+	    System.out.println("probAboveThreshold() = "+probAbove
+			       +", meanNoisyCount="+meanNoisyCount);
+	}

 
 	// poisson distribution generator
 	DistributionFactory df = DistributionFactory.newInstance();