67 lines
2.1 KiB
JavaScript
Executable File
67 lines
2.1 KiB
JavaScript
Executable File
///////////////////////////////////////////////////////////////////////////////////////////////////
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// Function fitting and peak search with mathutils.py
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///////////////////////////////////////////////////////////////////////////////////////////////////
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run("mathutils")
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start = 0
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end = 10
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step_size = 0.1
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result= lscan(ao1,ai1,start,end,[step_size,],0.01)
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readable = result.getReadable(0)
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positions = result.getPositions(0)
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function get_function_data(func, start, end, resolution){
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ret = []
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for (var x=start; x<=end; x+=resolution){
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fit_polinomial.push(func.value(x))
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}
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}
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pars_polynomial = fit_polynomial(readable, positions, 6)
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//(a0, a1, a2, a3, a4, a5, a6)
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fitted_polynomial_function = new PolynomialFunction(pars_polynomial)
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print (pars_polynomial)
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pars_gaussian = fit_gaussian(readable, positions)
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normalization = pars_gaussian[0]
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mean_val = pars_gaussian[1]
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sigma = pars_gaussian [2]
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fitted_gaussian_function = new Gaussian(normalization, mean_val, sigma)
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print (normalization + " " + mean_val + " " + sigma)
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pars_harmonic= fit_harmonic(readable, positions)
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amplitude = pars_harmonic[0]
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angular_frequency = pars_harmonic[1]
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phase = pars_harmonic[2]
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fitted_harmonic_function = new HarmonicOscillator(amplitude, angular_frequency, phase)
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print (amplitude+ " " + angular_frequency+ " " + phase)
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resolution = step_size/100
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fit_polinomial = []
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fit_gaussian = []
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fit_harmonic = []
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for (var x=start; x<=end; x+=resolution){
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fit_polinomial.push(fitted_polynomial_function.value(x))
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fit_gaussian.push(fitted_gaussian_function.value(x))
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fit_harmonic.push(fitted_harmonic_function.value(x))
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}
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fx = range(start, end+resolution, resolution)
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peaks = calculate_peaks(fitted_polynomial_function, start, end)
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plots = plot([readable, fit_polinomial, fit_gaussian, fit_harmonic] ,
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["data", "polinomial", "gaussian", "harmonic"], xdata = [positions,fx,fx,fx], ydata=undefined, title="Data")
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for (var p in peaks){
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print ("Max: " + p)
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plots[0].addMarker(p, null, "Max=" + Math.round(p,2), Color.LIGHT_GRAY)
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}
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plots[0].addMarker(mean_val, null, "Mean=" + Math.round(mean_val,2), Color.LIGHT_GRAY) |