43 lines
1.4 KiB
JavaScript
Executable File
43 lines
1.4 KiB
JavaScript
Executable File
///////////////////////////////////////////////////////////////////////////////////////////////////
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// Multiple Gaussians 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 = 50
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step_size = 0.2
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result= lscan(ao1,ai1,start,end,[step_size,])
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readable = result.getReadable(0)
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positions = result.getPositions(0)
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min = Math.min.apply(null, readable)
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max = Math.max.apply(null, readable)
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threshold = (min + max)/2
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min_peak_distance = 5.0
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peaks = estimate_peak_indexes(readable, positions, threshold, min_peak_distance)
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print ("Peak indexes: " + peaks)
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print ("Peak x: " + peaks.map(function(x) {return positions[x]}))
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print ("Peak y: " + peaks.map(function(x) {return readable[x]}))
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gaussians = fit_gaussians(readable, positions, peaks)
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plots = plot([readable],["sin"],[positions], undefined, title="Data" )
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for (var i=0; i< peaks.length; i++){
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peak = peaks[i]
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pars_gaussian = gaussians[i]
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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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if (Math.abs(mean_val - positions[peak]) < min_peak_distance){
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print ("Peak -> " + mean_val)
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plots[0].addMarker(mean_val, null, "N="+ Math.round(normalization,2), new Color(210,0,0))
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}else {
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print ("Invalid gaussian fit: " + mean_val)
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}
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} |