spectrum-generator
Generates a spectrum from discrete peaks. The shape of the peaks can be customised.
In order to increase the speed a shape
is first generated and then the peaks in the final
spectrum are resulting from sampling the shape
. A shape
will therefore be generated with
much more points (typically fwhm:1000).
The shape is generated using ml-peak-shape-generator and you may use all the corresponding options of getShape.
Installation
$ npm i spectrum-generator
Usage
The spectrum generator takes an array of discrete peaks (value and intensity)
and generates peaks with a gaussian distribution (by default).
generateSpectrum
import { generateSpectrum } from 'spectrum-generator';
const peaks = [
[4, 10],
[20, 30],
[236, 1],
[569, 76],
];
const spectrum = generateSpectrum(peaks, {
from: 0,
to: 1000,
nbPoints: 10001,
});
Example to generate a high resolution spectrum using lorentzian peaks shape
import { generateSpectrum } from 'spectrum-generator';
const peaks = [
[1, 10],
[2, 30],
[3, 1],
[4, 76],
];
const spectrum = generateSpectrum(peaks, {
nbPoints: 1001,
from: 0,
to: 10,
shape: {
kind: 'lorentzian',
options: {
fwhm: 1000,
length: 10001,
},
},
});
class SpectrumGenerator
import { SpectrumGenerator } from 'spectrum-generator';
const generator = new SpectrumGenerator();
generator.addPeak([5, 20]);
generator.addPeak({ x: 5, y: 20 });
generator.addPeak([30, 56]);
generator.addPeaks([
{x: 40, y: 12},
{x: 10, y:1},
]);
const spectrum = generator.getSpectrum();
generator.reset();
generator.addPeak({x: 10, y: 50}], {
width: 0.1,
shape: {
kind: 'lorentzian',
options: {
factor: 10,
},
}
});
generator.addPeak({x: 10, y: 50, width: 2})
generator.addPeak({x: 10, y: 50}], {
width: 0.1,
shape: {
kind: 'gaussian',
options: {
fwhm: 1000,
length: 10001,
},
}
});
const otherSpectrum = generator.getSpectrum();
License
MIT