ml-spectra-fitting/lib/util/internalPeaks/DefaultParameters.d.ts

Fit spectra using gaussian or lorentzian

import type { Shape1DInstance, PseudoVoigt, GeneralizedLorentzian } from 'ml-peak-shape-generator';
import type { Peak } from '../../index.ts';
export declare const DefaultParameters: {
    x: {
        init: (peak: Peak) => number;
        min: (peak: Peak, peakShape: Shape1DInstance) => number;
        max: (peak: Peak, peakShape: Shape1DInstance) => number;
        gradientDifference: (peak: Peak, peakShape: Shape1DInstance) => number;
    };
    y: {
        init: (peak: Peak) => number;
        min: (peak: Peak) => 0 | -1.1;
        max: (peak: Peak) => 0 | 1.1;
        gradientDifference: () => number;
    };
    fwhm: {
        init: (peak: Peak, peakShape: Shape1DInstance) => number;
        min: (peak: Peak, peakShape: Shape1DInstance) => number;
        max: (peak: Peak, peakShape: Shape1DInstance) => number;
        gradientDifference: (peak: Peak, peakShape: Shape1DInstance) => number;
    };
    mu: {
        init: (peak: Peak, peakShape: PseudoVoigt) => number;
        min: () => number;
        max: () => number;
        gradientDifference: () => number;
    };
    gamma: {
        init: (peak: Peak, peakShape: GeneralizedLorentzian) => number;
        min: () => number;
        max: () => number;
        gradientDifference: () => number;
    };
};
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