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Merge pull request #214 from jhlegarreta/AddCovModelNotebook
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ENH: Add dMRI covariance model notebook
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oesteban authored Jul 4, 2024
2 parents ba5d692 + 3ac186b commit c1bd3da
Showing 1 changed file with 88 additions and 0 deletions.
88 changes: 88 additions & 0 deletions docs/notebooks/dmri_covariance.ipynb
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{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "Plot the exponential and spherical covariance models.",
"id": "68526eb57440fb0e"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Compute the exponential and the spherical covariance function matrix values for angles between 0 and $\\pi/2$. The length scale parameters are set to $a=1.23$ and $a=0.5$ for the spherical and the exponential functions respectively.",
"id": "a124686bde634d64"
},
{
"metadata": {},
"cell_type": "code",
"source": [
"import numpy as np\n",
"\n",
"from eddymotion.model.dmri_covariance import (\n",
" compute_exponential_covariance,\n",
" compute_spherical_covariance,\n",
")\n",
"\n",
"theta_lin = np.linspace(0, np.pi/2, num=1000)\n",
"\n",
"a_exp = 0.5\n",
"cov_exp = compute_exponential_covariance(theta_lin, a_exp)\n",
"\n",
"a_sph = 1.23\n",
"cov_sph = compute_spherical_covariance(theta_lin, a_sph)"
],
"id": "457b781088e1cae2",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Plot the exponential and spherical covariance functions.",
"id": "1c5f9da8b3a9394e"
},
{
"metadata": {},
"cell_type": "code",
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"# Plot the exponential and spherical model covariances\n",
"plt.plot(theta_lin, cov_exp, label=\"Exponential cov\")\n",
"plt.plot(theta_lin, cov_sph, label=\"Spherical cov\")\n",
"\n",
"plt.xticks([0.0, np.pi/8, np.pi/4, 3*np.pi/8, np.pi/2], [\"0\", \"pi/8\", \"pi/4\", \"3pi/8\", \"pi/2\"])\n",
"\n",
"plt.xlabel(\"Angular distance\")\n",
"plt.ylabel(\"Covariance (arbitrary scaling)\")\n",
"\n",
"plt.legend()\n",
"plt.show()"
],
"id": "9f8abf14503066e0",
"outputs": [],
"execution_count": null
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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