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probe_dictionary = {
if (viz_inputs.visualization_checkboxes.includes("probe")) {
let probe_intensity = fftshift2D(shifted_probes[1].abs_sqr());
return {
label: " Probe intensity",
scheme: "Greys",
domain: [0, probe_max_intensity],
width: probe_intensity.shape[1],
height: probe_intensity.shape[0],
values: probe_intensity.flatten().tolist()
};
}
}
shifted_probes[0].abs()
probe_fft_dictionary = {
if (viz_inputs.visualization_checkboxes.includes("Fourier probe")) {
let probe_angle = fftshift2D(
shifted_probes[0].angle().multiply(shifted_probes[0].abs())
);
return {
label: "Fourier probe angle [rad]",
// scheme: "Rainbow",
//domain: [0, 2 * Math.PI],
interpolate: cmap,
type: "linear",
width: probe_angle.shape[1],
height: probe_angle.shape[0],
values: probe_angle.flatten().tolist()
};
}
}
raster_subplot = (dicts, a, viz_width, viz_height) =>
Plot.plot({
width: viz_width,
height: viz_height,
margin: 0,
x: { axis: null },
y: { axis: null },
color: {
label: dicts[a].label,
domain: dicts[a].domain,
range: dicts[a].range,
interpolate: dicts[a].interpolate,
scheme: dicts[a].scheme,
type: dicts[a].type,
exponent: dicts[a].exponent,
style: { background: "none" }
},
style: { background: "none" },
marks: [
Plot.raster(dicts[a].values, {
width: dicts[a].width,
height: dicts[a].height
}),
Plot.frame({ strokeWidth: 1 })
]
})
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
