{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PDH generation example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook demonstrates the generation of a Poud Drever Hall error signal using an on-board IQ module.\n",
    "\n",
    "For pedagogical purposes, the configuration of the IQ module, and the sweep of the piezoelectric actuator using an arbitrary signal generator are performed by-hand, without resorting to the Lockbox module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set environment variable to use a custom configuration file location\n",
    "import os\n",
    "\n",
    "os.environ[\"PYRPL_USER_DIR\"] = \"../pyrpl_user_dir/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:pyrpl:All your PyRPL settings will be saved to the config file\n",
      "    ../pyrpl_user_dir/config\\pdh_example.yml\n",
      "If you would like to restart PyRPL with these settings, type \"pyrpl.exe pdh_example\" in a windows terminal or \n",
      "    from pyrpl import Pyrpl\n",
      "    p = Pyrpl('pdh_example')\n",
      "in a python terminal.\n",
      "INFO:pyrpl.redpitaya:Successfully connected to Redpitaya with hostname 10.214.1.32.\n"
     ]
    }
   ],
   "source": [
    "from pyrpl import Pyrpl\n",
    "\n",
    "p = Pyrpl(\"pdh_example\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## IQ module configuration (PDH-signal generation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:pyrpl.modules:Requested gain for iq0.amplitude is outside the bounds allowed by the hardware. Desired gain of 1.0e+00 is capped to 1.0e+00. \n"
     ]
    }
   ],
   "source": [
    "iq = p.rp.iq0\n",
    "\n",
    "iq.acbandwidth = 100e3  # high-pass filter the input of the module to remove DC component.\n",
    "iq.frequency = 5e7  # Modulation frequency up to the Nyquist frequency (67.5 MHz)\n",
    "iq.bandwidth = [3e6, 3e6]  # Use second-order low-pass to filter-out the 2-f component\n",
    "iq.quadrature_factor = 30  # Make sure that no saturation occurs\n",
    "iq.phase = 35  # Optmial phase (in degrees) depends on propagation time in the coax\n",
    "iq.amplitude = 1.0  # amplitude of the modulation (in V)\n",
    "iq.output_direct = \"out2\"  # output modulation channel (to the electro-optic modulator)\n",
    "iq.input = \"in1\"  # input from the photodiode"
   ]
  },
  {
   "attachments": {
    "163baf83-9007-4bb6-ae61-f0a7479aa4cf.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "iq0 module should look like the following:![image.png](attachment:163baf83-9007-4bb6-ae61-f0a7479aa4cf.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Arbitrary Signal Generator configuration (piezo sweep)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "asg = p.rp.asg0\n",
    "asg.amplitude = 1  # In V\n",
    "asg.offset = 0  # In V\n",
    "asg.frequency = 5  # in Hz\n",
    "asg.waveform = \"ramp\"\n",
    "\n",
    "asg.trigger_source = \"immediately\"\n",
    "asg.output_direct = \"out1\"  # To high-voltage amplifier --> To piezo actuator"
   ]
  },
  {
   "attachments": {
    "670e6d6f-8fdb-4de9-8aeb-fb41c7ce2069.png": {
     "image/png": 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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "GUI of the asg module should look like the following:\n",
    "![image.png](attachment:670e6d6f-8fdb-4de9-8aeb-fb41c7ce2069.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scope configuration 1 (trigger on ASG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "scope = p.rp.scope\n",
    "scope.duration = 0.2  # in s\n",
    "scope.input1 = \"in1\"  # Reflection signal from cavity\n",
    "scope.input2 = \"iq0\"  #  PDH error signal\n",
    "scope.rolling_mode = False  # Use actual trigger to synchronize the acquistion\n",
    "\n",
    "scope.trigger_source = \"asg0\"\n",
    "scope.run_continuous = True  # Acquire data continuously and plot in the scope GUI.\n",
    "# Let's save the scope state for future use\n",
    "scope.save_state(\"autosweep\")  # state can be loaded with scope.load_state('autosweep')"
   ]
  },
  {
   "attachments": {
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     "image/png": 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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The error signals should refresh at 5 Hz in the scope GUI:![image.png](attachment:a8a0322f-6231-4bb4-9e43-6b919991f1d5.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scope configuration 2 (trigger on cavity reflection)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "scope = p.rp.scope\n",
    "scope.duration = 0.005  # in s (better resolution of the pic)\n",
    "scope.input1 = \"in1\"  # Reflection signal from cavity\n",
    "scope.input2 = \"iq0\"  #  PDH error signal\n",
    "scope.rolling_mode = False  # Use actual trigger to synchronize the acquistion\n",
    "\n",
    "scope.trigger_source = \"ch1_negative_edge\"\n",
    "scope.threshold = 0.8  # in V\n",
    "scope.run_continuous = True  # Acquire data continuously and plot in the scope GUI.\n",
    "\n",
    "# Let's save the scope state for future use\n",
    "p.rp.scope.save_state(\"autosweep_zoom\")"
   ]
  },
  {
   "attachments": {
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     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Error signals in autosweep_zoom state The scope GUI should look like the following (right-click on the load, save, erase items at the top of the panel to manipulate module states graphically): ![image.png](attachment:fdb26d93-66e3-4442-ac97-8f9989b1b505.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Find optimal PDH phase "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "scope.load_state(\"autosweep\")\n",
    "scope.duration = 4e-3\n",
    "TRIGGER_DELAY = 0.6655\n",
    "scope.trigger_delay = TRIGGER_DELAY\n",
    "\n",
    "OPTIMAL_ANGLE = 35\n",
    "\n",
    "angles_iq = np.linspace(-90 + OPTIMAL_ANGLE, 90 + OPTIMAL_ANGLE, 8)\n",
    "\n",
    "times = p.rp.scope.times\n",
    "CH1, CH2 = [], []\n",
    "for theta in angles_iq:\n",
    "    iq.phase = theta\n",
    "    ch1, ch2 = p.rp.scope.single()\n",
    "    CH1.append(ch1)\n",
    "    CH2.append(ch2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import h5py\n",
    "\n",
    "kwds = dict(times=times, CH1=CH1, CH2=CH2)\n",
    "with h5py.File(\"./data/data.h5\", \"w\") as f:\n",
    "    for key, value in kwds.items():\n",
    "        dset = f.create_dataset(key, data=value)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import h5py\n",
    "import numpy as np\n",
    "\n",
    "# load data\n",
    "kwds = {}\n",
    "with h5py.File(\"./data/data.h5\", \"r\") as f:\n",
    "    for key in f.keys():\n",
    "        kwds[key] = f[key][...]\n",
    "\n",
    "\n",
    "CH1_load, CH2_load, times_load = kwds[\"CH1\"], kwds[\"CH2\"], kwds[\"times\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x144 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot data\n",
    "OPTIMAL_ANGLE = 35\n",
    "\n",
    "angles_iq = np.linspace(-90 + OPTIMAL_ANGLE, 90 + OPTIMAL_ANGLE, 8)\n",
    "\n",
    "fig = plt.figure(figsize=(5, 2))\n",
    "TRIGGER_DELAY = 0.66555\n",
    "\n",
    "for k, vals in enumerate(CH2_load):\n",
    "    plt.plot(\n",
    "        (times_load - TRIGGER_DELAY) * 1e3,\n",
    "        vals,\n",
    "        color=plt.cm.viridis(np.abs((angles_iq[k] - OPTIMAL_ANGLE) / 120)),\n",
    "        linestyle=\"solid\",\n",
    "        linewidth=1,\n",
    "        alpha=0.7,\n",
    "        rasterized=True,\n",
    "    )\n",
    "\n",
    "ax = plt.gca()\n",
    "norm = mpl.colors.Normalize(vmin=min(angles_iq), vmax=max(angles_iq))\n",
    "fig.colorbar(plt.cm.ScalarMappable(norm=norm, cmap=plt.cm.viridis), ax=ax, label=r\"iq angle (°)\")\n",
    "\n",
    "plt.xlabel(r\"Time (ms)\")\n",
    "plt.xlim(-0.0012e3, +0.0012e3)\n",
    "plt.ylabel(r\"Amplitude (V)\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "fig.savefig(\"./figure_pdh.pdf\", dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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