/// <summary>
/// Contains all of the parameters for all of the fits. The format of which is determined in the class
/// </summary>
/// <param name="FullParameterArray"></param>
/// <param name="ParameterArraysize"></param>
/// <param name="paramsize"></param>
/// <param name="FullChisquareArray"></param>
/// <param name="FullCovariance"></param>
/// <param name="Refl"></param>
public StochOutputWindow(double[] FullParameterArray, int ParameterArraysize, int paramsize, double[] FullChisquareArray, double[] FullCovariance, double[] info, BoxReflFitBase Refl)
{
InitializeComponent();
ReflectivityList = new List <BoxReflFitBase>(100);
_StochWindow = true;
//Fill the ParameterArray
double[] param = new double[paramsize];
double[] covar = new double[paramsize];
double[] locinfo = new double[9];
for (int i = 0; i < ParameterArraysize; i++)
{
ReflectivityList.Add(Refl.CreateLightWeightClone());
for (int j = 0; j < paramsize; j++)
{
param[j] = FullParameterArray[i * paramsize + j];
covar[j] = FullCovariance[i * paramsize + j];
}
for (int k = 0; k < 9; k++)
{
locinfo[k] = info[i * 9 + k];
}
ReflectivityList[i].UpdatefromParameterArray(param);
ReflectivityList[i].CovarArray = covar;
ReflectivityList[i].Fitinfo = locinfo;
ReflectivityList[i].ChiSquare = FullChisquareArray[i];
}
//Fill the list
for (int i = 0; i < ParameterArraysize; i++)
{
ModelLB.Items.Add("Model " + (i + 1).ToString() + " - Fit Score = " + FullChisquareArray[i].ToString("#.### E-000"));
}
SetUpGraphs(Refl.SubphaseSLD, Refl.SuperphaseSLD);
ReflectivityList.ForEach(p => p.UpdateProfile());
ModelLB.SelectedIndex = 0;
ModelLB.Focus();
//Play a chime when the stochastic methods are complete
System.Media.SystemSounds.Exclamation.Play();
}
public void AddModel(BoxReflFitBase BoxRefl)
{
ReflectivityList.Add(BoxRefl.CreateLightWeightClone());
ModelLB.Items.Add("Model " + (ModelLB.Items.Count + 1).ToString() + " - Fit Score = " + BoxRefl.ChiSquare.ToString("#.### E-000"));
ReflectivityList[ReflectivityList.Count - 1].UpdateProfile();;
}
