ml-peak-shape-generator
Advanced tools
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Peak shape generator, the current kind of shapes supported are:
| Name | Equation |
|---|---|
| Gaussian | |
| Lorentzian | |
| Pseudo Voigt |
where
$ npm i ml-peak-shape-generator
import { gaussian, lorentzian, pseudoVoigt} from 'ml-peak-shape-generator';
// It's possible to specify the windows size with factor option
let {data, fwhm} = gaussian({factor: 3.5, sd: 500});
// or fix the number of points as Full Width at Half Maximum
let {data, fwhm} = gaussian({factor: 3.5, fwhm: 500});
// It's possible to specify the windows size with factor option
let {data, fwhm} = loretzian({factor: 5, fwhm: 500});
// It's possible to specify the windows size with factor option
let {data, fwhm} = pseudoVoigt({{factor: 5, fwhm: 500}});
import { getShape, GAUSSIAN, LORENTZIAN, PSEUDO_VOIGT} from 'ml-peak-shape-generator';
// If you want to dynamically select a shape you can use the `getShape` method.
let {data, fwhm} = getShape(LORENTZIAN, {factor: 3.5, sd: 500});
It is also possible to get a function that allows to calculate y for any x
import { gaussianFct} from 'ml-peak-shape-generator';
const func = gaussianFct({ x: 0, y: 2, width: 0.2 });
You can create a class as well and add many peaks
const peakShapeGenerator = new PeakShapeGenerator({cacheSize:20});
let shape = peakShapeGenerator.getShape(GAUSSIAN, { fwhm: 500 });
let shape2 = peakShapeGenerator.getShape(GAUSSIAN, { fwhm: 500 });
// shape===shape2 true
let shape3 = peakShapeGenerator.getShape(GAUSSIAN, { fwhm: 100 });
// shape===shape3 false
let shape4 = peakShapeGenerator.getShape(GAUSSIAN, { fwhm: 100 });
// shape3===shape4 true
FAQs
Generate various peak shapes
We found that ml-peak-shape-generator demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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