ml-gsd/lib/post/optimizePeaksWithLogs.d.ts

Global Spectral Deconvolution

import type { DataXY, PeakXYWidth } from 'cheminfo-types';
import type { GSDPeakOptimized } from '../GSDPeakOptimized.ts';
import type { MakeMandatory } from '../utils/MakeMandatory.ts';
import type { OptimizePeaksOptions } from './optimizePeaks.ts';
export interface Peak extends PeakXYWidth {
    id?: string;
}
export type GSDPeakOptimizedID = MakeMandatory<GSDPeakOptimized, 'id'>;
type GSDPeakOptimizedIDOrNot<T extends Peak> = T extends {
    id: string;
} ? GSDPeakOptimizedID : GSDPeakOptimized;
/**
 * Optimize the position (x), max intensity (y), full width at half maximum (fwhm)
 * and the ratio of gaussian contribution (mu) if it's required. It currently supports three kind of shapes: gaussian, lorentzian and pseudovoigt
 * @param data - An object containing the x and y data to be fitted.
 * @param peakList - A list of initial parameters to be optimized. e.g. coming from a peak picking [{x, y, width}].
 */
export declare function optimizePeaksWithLogs<T extends Peak>(data: DataXY, peakList: T[], options?: OptimizePeaksOptions): {
    logs: any[];
    optimizedPeaks: Array<GSDPeakOptimizedIDOrNot<T>>;
};
export {};
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