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August 6, 2019 12:15
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Fit of a Gaussian model to data using the ml-levenberg-marquardt package
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var LM = require('ml-levenberg-marquardt'); | |
var fs = require('fs'); | |
function gaussianFunction([A, mu, sigma, c]) { | |
return (x) => A * Math.exp(-0.5*((x-mu)/sigma)**2) + c; | |
} | |
fs.readFile('../gaussianData.xye', 'utf8', async function(err, data) { | |
if (err) throw err; | |
const lines = String(data).split('\n'); | |
// initialize empty lists for the columns | |
const x = []; | |
const y = []; | |
const sy = []; | |
// check lines for first non-empty line that's not a comment and see | |
// if it has 2 or 3 columns | |
let has_three_cols = false; | |
for (let line of lines) { | |
const trimmed_line = line.trim(); | |
// ignore comments | |
if (trimmed_line.startsWith('#')) continue | |
// ignore empty lines | |
if (trimmed_line.length > 0) { | |
const splitted_line = trimmed_line.split(/\s+/); | |
has_three_cols = splitted_line.length >= 3; | |
break; | |
} | |
} | |
for (let line of lines) { | |
const trimmed_line = line.trim(); | |
// ignore comments | |
if (trimmed_line.startsWith('#')) continue | |
// split line at white-spaces or tabs | |
const splitted_line = trimmed_line.split(/\s+/) | |
if (splitted_line.length >= 2) { | |
x.push(Number(splitted_line[0])); | |
y.push(Number(splitted_line[1])); | |
if (has_three_cols) { | |
if (splitted_line.length >= 3) { | |
sy.push(Number(splitted_line[2])); | |
} else { | |
throw "File identified as 3 column file has one line with only 2 columns" | |
} | |
} | |
} | |
} | |
fitData(x,y,sy) | |
}); | |
function fitData(x,y,sy) { | |
let data = { | |
x: x, | |
y: y | |
}; | |
let initialValues = [ | |
20, 3, 0.2, 0 | |
]; | |
const options = { | |
damping: 1.5, | |
initialValues: initialValues, | |
gradientDifference: 10e-2, | |
maxIterations: 100, | |
errorTolerance: 10e-3 | |
}; | |
t0 = process.hrtime(); | |
let fittedParams = LM(data, gaussianFunction, options); | |
t1 = process.hrtime(); | |
console.log((t1[0]-t0[0])*1000 + (t1[1] - t0[1])/1e6, " ms"); | |
console.log(fittedParams); | |
} |
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