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Restore proper axes limits
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‎docs/user-guide/sns-instruments/vanadium_processing.ipynb‎

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"cells": [
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{
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"cell_type": "markdown",
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"id": "fb973780-910e-48c0-9055-672182f300f9",
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"id": "0",
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"metadata": {},
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"source": [
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"# Vanadium processing\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b38ce909-c9ec-4d75-8060-3b9e3094ef78",
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"id": "1",
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"metadata": {},
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},
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{
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"cell_type": "markdown",
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"id": "bf03dd14-a096-4cf0-8f0b-c318eb507391",
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"id": "2",
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"metadata": {},
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"source": [
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"Use the same parameters as in the main workflow except with more d-spacing bins.\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "01153a77-1710-41fc-a78c-20a8bae40831",
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"id": "3",
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"metadata": {},
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},
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{
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"cell_type": "markdown",
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"id": "12ac6517-a73c-493b-b2ce-f7ffe13a2060",
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"id": "4",
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"metadata": {},
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"Compute a single vanadium spectrum in d-spacing:"
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "646a1117-3a71-4893-b2a2-13675cf749c7",
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"id": "5",
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"metadata": {},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8de3d6e0-b8ec-4a25-bcb0-b0d2b19b8a61",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "04f7f83c-8608-458d-b4a9-2f9853c09cd7",
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"cell_type": "markdown",
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"id": "84f8b41c-e3f3-4282-83c6-e0e424bc5632",
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"id": "8",
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"metadata": {},
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"source": [
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"## Removing coherent scattering peaks\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9",
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},
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{
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"cell_type": "markdown",
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"id": "6e530963-258e-475f-9128-2417bc8d7e24",
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"id": "10",
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"metadata": {},
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"We need to histogram the data to perform fits:"
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d6bcd10f-130e-43e0-8231-1f0b70e8bc53",
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"id": "11",
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{
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"cell_type": "markdown",
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"id": "1c4ff398-80d4-4452-92d7-3d3c8d1359dc",
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"id": "12",
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"metadata": {},
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"The fits require a bin-center coordinate, so convert from bin-edges:"
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e661fda9-1de4-4d26-a8d7-c84cec10decd",
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"id": "13",
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"cell_type": "markdown",
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"id": "b0bbf51f-307f-43c5-8093-ff6606049a1f",
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"id": "14",
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"metadata": {},
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"Perform the fits:"
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "49f574d8-de6f-4c69-9704-6ce4acb9bdb3",
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"id": "15",
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"metadata": {},
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},
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{
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"cell_type": "markdown",
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"id": "19251c69-75eb-4dd0-be97-d2272946bacd",
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"id": "16",
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"metadata": {},
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"Remove the fitted peaks to obtain the incoherent scattering.\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "fbcde35f-8608-4ecb-9b6d-67f686d7839a",
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"id": "17",
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{
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"cell_type": "markdown",
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"id": "6f19a754-c41a-4507-9ac5-a9f68dbab60f",
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"id": "18",
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"metadata": {},
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"We can further inspect the results.\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0fd4e65a-35b3-4c12-a4ee-24649bda2551",
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"id": "19",
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"source": [
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" # The actual data\n",
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" fig = data.plot(c=\"C0\")\n",
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" ax = fig.ax\n",
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" xlim = ax.get_xlim()\n",
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" ylim = ax.get_ylim()\n",
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" removed.plot(ax=ax, c='C2')\n",
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"\n",
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" # Initial estimates\n",
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" best_fit.data = result.eval_model(best_fit.coords[best_fit.dim])\n",
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" best_fit.plot(ax=ax, c=\"C1\", ls=\"-\", marker=\"none\")\n",
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"\n",
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" ax.set_xlim(xlim)\n",
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" # allocate extra space at the top for annotations\n",
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" ax.set_ylim((ylim[0], ylim[1] * 1.05))\n",
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" return fig"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bee3ae5a-ae4c-41a8-901b-b0fada19504c",
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"id": "20",
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"metadata": {},
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "21",
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},
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"cell_type": "markdown",
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"id": "6bab60d1-1ea9-4481-9f5c-1d55423766c7",
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"id": "22",
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"metadata": {},
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"source": [
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"The resulting data array `incoherent` can be saved and used in the main workflow [POWGEN_data_reduction](./POWGEN_data_reduction.rst) to replace `FocussedDataDspacing[VanadiumRun]`."

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