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@@ -8,28 +8,32 @@
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<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
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<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
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</head>
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</head>
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<body>
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<body>
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-<input type="number" id="fromWL" step="any" value="400.0">from WL<br>
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-<input type="number" id="toWL" step="any" value="800">to WL<br>
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-<input type="number" id="R" step="any" value="100">R<br>
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-<input type="number" id="reN" step="any" value="4">Re(n)<br>
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-<input type="number" id="imN" step="any" value="0">Im(n)<br>
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+WL from <input type="number" id="fromWL" step="any" value="400.0">
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+to <input type="number" id="toWL" step="any" value="800">
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+step <input type="number" id="stepWL" step="any" value="0.1"><br>
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+R: <input type="number" id="R" step="any" value="100">
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+Re(n): <input type="number" id="reN" step="any" value="4">
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+Im(n): <input type="number" id="imN" step="any" value="0"><br>
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-<button id="Evaluate">Run Mie!</button>
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-<div id="PlotQsca"></div>
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+<button id="Evaluate">Run Mie!</button> <div id="time"></div>
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+<div id="PlotQsca" style="width:640px;height:580px;" ></div>
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<script src="/nmie.js"></script>
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<script src="/nmie.js"></script>
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<script>
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<script>
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- var fromWL = parseFloat(document.getElementById("fromWL").value);
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- var toWL = parseFloat(document.getElementById("toWL").value);
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- var R = parseFloat(document.getElementById("R").value);
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- var reN = parseFloat(document.getElementById("reN").value);
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- var imN = parseFloat(document.getElementById("imN").value);
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const range = (start, stop, step = 1) =>
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const range = (start, stop, step = 1) =>
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Array(Math.ceil((stop - start) / step)).fill(start).map((x, y) => x + y * step)
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Array(Math.ceil((stop - start) / step)).fill(start).map((x, y) => x + y * step)
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Module.addOnPostRun(() => {
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Module.addOnPostRun(() => {
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const nmie = new Module.nmie()
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const nmie = new Module.nmie()
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Evaluate.onclick = () => {
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Evaluate.onclick = () => {
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+ var t0 = performance.now();
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+ var fromWL = parseFloat(document.getElementById("fromWL").value);
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+ var toWL = parseFloat(document.getElementById("toWL").value);
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+ var stepWL = parseFloat(document.getElementById("stepWL").value);
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+ var R = parseFloat(document.getElementById("R").value);
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+ var reN = parseFloat(document.getElementById("reN").value);
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+ var imN = parseFloat(document.getElementById("imN").value);
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+ nmie.ClearTarget();
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nmie.AddTargetLayerReIm(R, reN, imN)
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nmie.AddTargetLayerReIm(R, reN, imN)
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- var WLs = range(fromWL,toWL,1)
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+ var WLs = range(fromWL,toWL,stepWL)
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var Qsca = [], Qabs = [];
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var Qsca = [], Qabs = [];
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WLs.forEach(function(WL) {
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WLs.forEach(function(WL) {
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nmie.SetWavelength(WL);
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nmie.SetWavelength(WL);
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@@ -42,17 +46,51 @@
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x: WLs,
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x: WLs,
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y: Qsca,
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y: Qsca,
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type: 'scatter',
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type: 'scatter',
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+ name: 'Qsca'
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};
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};
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var trace2 = {
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var trace2 = {
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x: WLs,
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x: WLs,
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y: Qabs,
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y: Qabs,
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- type: 'scatter'
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+ type: 'scatter',
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+ name: 'Qabs'
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};
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};
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var data = [trace1, trace2];
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var data = [trace1, trace2];
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-
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- Plotly.newPlot('PlotQsca', data, {}, {showSendToCloud: true});
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+ var layout = {
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+ title: {
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+ text:'Mie calculation',
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+ // font: {
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+ // family: 'Courier New, monospace',
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+ // size: 24
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+ // },
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+ xref: 'paper',
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+ x: 0.05,
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+ },
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+ xaxis: {
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+ title: {
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+ text: 'Wavelength',
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+ // font: {
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+ // family: 'Courier New, monospace',
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+ // size: 18,
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+ // color: '#7f7f7f'
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+ // }
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+ },
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+ },
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+ yaxis: {
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+ title: {
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+ text: 'Q',
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+ // font: {
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+ // family: 'Courier New, monospace',
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+ // size: 18,
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+ // color: '#7f7f7f'
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+ // }
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+ }
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+ }
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+ };
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+ Plotly.newPlot('PlotQsca', data, layout, {showSendToCloud: true});
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+ var t1 = performance.now();
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+ document.getElementById("time").innerHTML = "It took " + ((t1 - t0)/1000).toFixed(2) + " seconds.";
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};
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};
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})
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})
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</script>
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</script>
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