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docs/user-guide/tof/dream.ipynb

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"cell_type": "markdown",
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"id": "1c06b3e6-9d38-4ce5-9b1e-55283b8eec4c",
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"id": "27",
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"metadata": {},
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"source": [
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"The full table covers a range of distances, and looks like"
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "cd779e2b-7a69-47f8-a7a2-ad4fa2f3fccc",
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"id": "28",
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "29",
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"metadata": {},
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"source": [
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"### Computing a time-of-flight coordinate\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"cell_type": "markdown",
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"Histogramming the data for a plot should show a profile with 6 bumps that correspond to the frames:"
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{
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"cell_type": "code",
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"### Converting to wavelength\n",
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{
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"### Comparing to the ground truth\n",
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"## Multiple detector pixels\n",
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"Our raw data has now a `detector_number` dimension of length 2.\n",
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"cell_type": "markdown",
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"Computing time-of-flight is done in the same way as above.\n",
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{
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"## Handling time overlap between subframes\n",
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"We can now see that there is no longer a gap between the two frames at the center of each pulse (green region).\n",
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"The data in the lookup table contains both the mean time-of-flight for each distance and time-of-arrival bin,\n",
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"The workflow has a parameter which is used to mask out regions where the standard deviation is above a certain threshold.\n",
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"We can now see that the central region is masked out.\n",
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