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ml-peak-shape-generator
Advanced tools
[![NPM version][npm-image]][npm-url] [![build status][ci-image]][ci-url] [![npm download][download-image]][download-url]
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 = new Gaussian({factor: 3.5, sd: 500}).getData();
// or fix the number of points as Full Width at Half Maximum
let data = new Gaussian({factor: 3.5, fwhm: 500}).getData();
// It's possible to specify the windows size with factor option
let data = new Loretzian({factor: 5, fwhm: 500}).getData();
// It's possible to specify the windows size with factor option
let data = new PseudoVoigt({{factor: 5, fwhm: 500}}).getData();
import { getShapeGenerator } from 'ml-peak-shape-generator';
// If you want to dynamically select a shape you can use the `getShapeGenerator` method. It returns a instance of required kind of shape.
let shapeGenerator = getShapeGenerator('lorentzian', {factor: 3.5, sd: 500});
It is also possible to get a function that allows to calculate y for any x
import { Gaussian } from 'ml-peak-shape-generator';
const func = Gaussian.fct(x - mean, fwhm);
FAQs
Generate various peak shapes
The npm package ml-peak-shape-generator receives a total of 1,425 weekly downloads. As such, ml-peak-shape-generator popularity was classified as popular.
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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