public clsPeakProcessorParameters(double sn, double peak_bg_ratio, bool thresholded_data, PEAK_FIT_TYPE fit_type)
{
SignalToNoiseThreshold = sn;
PeakBackgroundRatio = peak_bg_ratio;
PeakFitType = fit_type;
ThresholdedData = thresholded_data;
}
/// <summary>
/// sets the options for this instance.
/// </summary>
/// <param name="signalToNoise">sets the threshold signal to noise value.</param>
/// <param name="thresh">sets the peak intensity threshold.</param>
/// <param name="thresholded">if the data is thresholded.</param>
/// <param name="type">sets the type of peak fitting algorithm used.</param>
public void SetOptions(double signalToNoise, double thresh, bool thresholded, PEAK_FIT_TYPE type)
{
_isDataThresholded = thresholded;
// signal to noise should ideally be set before PeakIntensityThreshold
SetSignalToNoiseThreshold(signalToNoise);
SetPeakIntensityThreshold(thresh);
SetPeakFitType(type);
}
/// <summary>
/// sets the type of peak fitting used to find m/z values for peaks.
/// </summary>
/// <param name="type">specifies the type of peak fitting.</param>
public void SetPeakFitType(PEAK_FIT_TYPE type)
{
_peakFit.SetOptions(type);
}
/// <summary>
/// Sets the type of fit.
/// </summary>
/// <param name="type">sets the type of fit function that this instance uses.</param>
public void SetOptions(PEAK_FIT_TYPE type)
{
_peakFitType = type;
}
/// <summary>
/// Default constructor.
/// </summary>
/// <remarks>By default uses Quadratic fit.</remarks>
public PeakFitter()
{
_peakFitType = PEAK_FIT_TYPE.Quadratic;
}
