{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mode solver semivectorial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import modes as ms\n",
    "\n",
    "ms.mode_solver_semi(n_modes=2, thickness=0.22, width=0.5, wavelength=1.55, plot_index=True, plot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ms.mode_solver_semi(n_modes=2, thickness=0.22, width=0.5, wavelength=1.55, logscale=True, plot=True, plot_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ms.mode_solver_semi?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convergence tests\n",
    "\n",
    "Lets change the simulations size and see how the neff changes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub_widths = np.linspace(1.5, 3, 3)\n",
    "n_effs = [ms.mode_solver_semi(plot=False, n_modes=1, sub_width=sub_width).results['n_effs'][0].real for sub_width in sub_widths]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.plot(sub_widths, n_effs, '.-')\n",
    "plt.xlabel('simulation width (um)')\n",
    "plt.ylabel('neff')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = np.linspace(0.01, 0.02, 3)\n",
    "n_effs = [ms.mode_solver_semi(plot=False, n_modes=1, y_step=d, x_step=d).results['n_effs'][0].real for d in ds]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.plot(ds*1e3, n_effs, '.-')\n",
    "plt.xlabel('mesh size (nm)')\n",
    "plt.ylabel('neff')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "d = 0.01\n",
    "m = ms.mode_solver_semi(plot=False, n_modes=1, y_step=d, x_step=d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "m.results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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