k.ladutenko
/
scatt


			
				
					
						
						
							1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192939495969798
							<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <meta http-equiv="X-UA-Compatible" content="ie=edge">
  <title>Scattnlay web</title>
  <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
</head>
<body>
WL from <input type="number" id="fromWL" step="any" value="400.0">
to <input type="number" id="toWL" step="any" value="800">
step <input type="number" id="stepWL" step="any" value="0.1"><br>
R: <input type="number" id="R" step="any" value="100">
Re(n): <input type="number" id="reN" step="any" value="4">
Im(n): <input type="number" id="imN" step="any" value="0"><br>

<button id="Evaluate" autofocus>Run Mie!</button> <span id="time"></span>
<div id="PlotQsca" style="width:640px;height:580px;" ></div>
  <script src="/nmie.js"></script>
  <script>
    const range = (start, stop, step = 1) =>
            Array(Math.ceil((stop - start) / step)).fill(start).map((x, y) => x + y * step)
    Module.addOnPostRun(() => {
      const nmie = new Module.nmie()
      Evaluate.onclick = () => {
        var t0 = performance.now();
        var fromWL = parseFloat(document.getElementById("fromWL").value);
        var toWL = parseFloat(document.getElementById("toWL").value);
        var stepWL = parseFloat(document.getElementById("stepWL").value);
        var R = parseFloat(document.getElementById("R").value);
        var reN = parseFloat(document.getElementById("reN").value);
        var imN = parseFloat(document.getElementById("imN").value);
        nmie.ClearTarget();
        nmie.AddTargetLayerReIm(R, reN, imN)
        var WLs = range(fromWL,toWL,stepWL)
        var Qsca = [], Qabs = [];
        WLs.forEach(function(WL) {
          nmie.SetWavelength(WL);
          nmie.RunMieCalculation();
          Qsca.push(nmie.GetQsca());
          Qabs.push(nmie.GetQabs());
        });
        console.log('Qsca = ', Qsca);
        var trace1 = {
          x: WLs,
          y: Qsca,
          type: 'scatter',
          name: 'Qsca'
        };

        var trace2 = {
          x: WLs,
          y: Qabs,
          type: 'scatter',
          name: 'Qabs'
        };

        var data = [trace1, trace2];
        var layout = {
          title: {
            text:'Mie calculation',
            // font: {
            //   family: 'Courier New, monospace',
            //   size: 24
            // },
            xref: 'paper',
            x: 0.05,
          },
          xaxis: {
            title: {
              text: 'Wavelength',
              // font: {
              //   family: 'Courier New, monospace',
              //   size: 18,
              //   color: '#7f7f7f'
              // }
            },
          },
          yaxis: {
            title: {
              text: 'Q',
              // font: {
              //   family: 'Courier New, monospace',
              //   size: 18,
              //   color: '#7f7f7f'
              // }
            }
          }
        };
        Plotly.newPlot('PlotQsca', data, layout, {showSendToCloud: true, displaylogo: false});
        var t1 = performance.now();
        document.getElementById("time").innerHTML = "It took " + ((t1 - t0)/1000).toFixed(2) + " s.";
      };
    })
  </script>
</body>
</html>