Esempio n. 1
0
 private void OnSelectedSlopeSetChanged(object sender, EventArgs e)
 {
     if (clSlopeSets.SelectedIndex >= 0)
     {
         FitSet fs = (FitSet)clSlopeSets.SelectedItem;
         PlotLikelihood("LogL \"" + fs.ToString() + "\"", fs.Likelihood);
     }
 }
Esempio n. 2
0
 private void btnCompute_Click(object sender, EventArgs e)
 {
     if (clSlopeSets.CheckedItems.Count < 1)
     {
         MessageBox.Show("At least one data set must be enabled.", "Input error", MessageBoxButtons.OK, MessageBoxIcon.Warning);
         return;
     }
     NumericalTools.Likelihood[] lk = new NumericalTools.Likelihood[clSlopeSets.CheckedItems.Count];
     int i;
     for (i = 0; i < clSlopeSets.CheckedItems.Count; i++)
     {
         FitSet fs = (FitSet)clSlopeSets.CheckedItems[i];
         if (fs.Likelihood == null)
             try
             {
                 MCSLikelihood.ProcessData(fs.Tracks, out fs.Likelihood);
             }
             catch (Exception x)
             {
                 MessageBox.Show("Error computing likelihood for set \"" + fs.ToString() + "\":\r\n" + x.Message, "Computation Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
                 return;
             }
         lk[i] = fs.Likelihood;
     }
     Likelihood = null;
     txtResults.Text = "";
     try
     {
         Likelihood = new NumericalTools.OneParamLogLikelihood(0.05, lk);
         string t = Likelihood.Best(0).ToString("F2", System.Globalization.CultureInfo.InvariantCulture) + ";";
         double cl = ((SySal.Processing.MCSLikelihood.Configuration)MCSLikelihood.Config).ConfidenceLevel;
         double[] bounds = Likelihood.ConfidenceRegions(0, cl);                
         for (i = 0; i < bounds.Length; i += 2)
             t += " [" + bounds[i].ToString("F2", System.Globalization.CultureInfo.InvariantCulture) + "," + bounds[i + 1].ToString("F2", System.Globalization.CultureInfo.InvariantCulture) + "]";
         t += "; " + cl.ToString("F2", System.Globalization.CultureInfo.InvariantCulture);
         txtResults.Text = t;
     }
     catch (Exception x)
     {
         MessageBox.Show("Error computing combined likelihood:\r\n" + x.Message, "Computation Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
     }
     PlotLikelihood("LogL (combined)", Likelihood);
 }
Esempio n. 3
0
 internal void Add(FitSet fs)
 {
     try
     {
         if (fs.Tracks.Length < 2) throw new Exception("At least two slopes must be measured.");
         if (clSlopeSets.Items.Contains(fs)) throw new Exception("Slope set is already contained and will not be added again.");
         foreach (object o in clSlopeSets.Items)
         {
             FitSet fso = (FitSet)o;
             if (fso.Source == fs.Source) throw new Exception("Slope set is already contained and will not be added again.");
             int i, j;
             i = j = 0;
             while (i < fso.Tracks.Length && j < fs.Tracks.Length)
                 if (fso.Tracks[i].Field < fs.Tracks[j].Field) i++;
                 else if (fso.Tracks[i].Field > fs.Tracks[j].Field) j++;
                 else throw new Exception("The new data set has at least one plate in common with \"" + fso.ToString() + "\".\r\nCombined fit requires that no data be in common.\r\nDuplicate found on layer " + 
                     fso.Tracks[i].Field + " Grains " + fso.Tracks[i].Count + " SX/Y " + 
                     fso.Tracks[i].Slope.X.ToString("F4", System.Globalization.CultureInfo.InvariantCulture) + "/" + 
                     fso.Tracks[i].Slope.Y.ToString("F4", System.Globalization.CultureInfo.InvariantCulture));                    
         }
         clSlopeSets.SetItemChecked(clSlopeSets.Items.Add(fs), true);
     }
     catch (Exception x)
     {
         MessageBox.Show(x.Message, "Data Error", MessageBoxButtons.OK, MessageBoxIcon.Warning);
     }
 }