common-spectrum
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    Interface AutoPeakPickingOptions

    interface AutoPeakPickingOptions {
        from?: number;
        maxCriteria?: boolean;
        minMaxRatio?: number;
        minPeakWidth?: number;
        noiseLevel?: number;
        normalizationOptions?: NormalizedSpectrumOptions;
        realTopDetection?: boolean;
        sgOptions?: SGGOptions;
        shape?: Shape1D;
        smoothY?: boolean;
        to?: number;
        xVariable?: OneLowerCase;
        yVariable?: OneLowerCase;
    }

    Hierarchy

    • GSDOptions
      • AutoPeakPickingOptions
    Index

    Properties

    from? maxCriteria? minMaxRatio? minPeakWidth? noiseLevel? normalizationOptions? realTopDetection? sgOptions? shape? smoothY? to? xVariable? yVariable?

    Properties

    from?: number

    First X value for the peak picking (default: first X value

    maxCriteria?: boolean

    Peaks are local maxima (true) or minima (false)

    true
    minMaxRatio?: number

    Minimal height of small peaks based on the ratio between min and max

    0.00025
    minPeakWidth?: number

    Minimal peak width

    noiseLevel?: number

    Peak under the noiseLevel (or over in case of maxCriteria=false) are ignored.

    normalizationOptions?: NormalizedSpectrumOptions

    Normalization can be applied before peak picking. This is useful for example to correct baseline while still have a minMaxRatio filter

    realTopDetection?: boolean

    Use a quadratic optimizations with the peak and its 3 closest neighbors

    false
    sgOptions?: SGGOptions

    Options for the Savitzky-Golay generalised algorithm. This algorithm is used to calculate the first ans second derivative. It is also used when smoothY:true to smooth the spectrum for peak picking. The Y values in case of smoothY is true will therefore be lower.

    {windowSize:9,polynomial:3}
    shape?: Shape1D
    smoothY?: boolean

    Select the peak intensities from a smoothed version of the independent variables

    false
    to?: number

    Last X value for the peak picking (default: last X value

    xVariable?: OneLowerCase

    x variable label, by default 'x'

    yVariable?: OneLowerCase

    y variable label, by default 'y'

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