{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "18ca8d05",
   "metadata": {},
   "source": [
    "# Tutorial 9: Hybrid Series + Hanger Resonators\n",
    "\n",
    "Tutorials 3 and 8 treat **inline chains** and **hanger / notch** resonators\n",
    "separately. But they may also be combined into one chain and analyzed as a whole.\n",
    "\n",
    "In this tutorial, we will learn how to:\n",
    "1. Construct a chain of resonators with both inline and hanger distributed CPWs.\n",
    "2. Assemble a lumped system by fitting each piece with its respective LOM (`fit_lom` for the series resonator, `fit_lom_hanger`\n",
    "for each hanger)\n",
    "3. Check the accuracy of the circuit model for the hybrid system.\n",
    "\n",
    "For this tutorial, we will use the 3-resonator system: \n",
    "\n",
    "```\n",
    "[P1] -- Cc -- Ctog -- CPW_Purcell -- Ctog -- Cc --||-- hang1 -- hang2 -- [P2]\n",
    "      \\_____________ series / inline _____________/   \\___ hangers ___/\n",
    "```\n",
    "\n",
    "It is also drawn later during the tutorial in `hybrid_schematic_2port`. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "620353b5",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da1cb32c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T04:24:26.942990Z",
     "iopub.status.busy": "2026-07-19T04:24:26.942882Z",
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     "shell.execute_reply": "2026-07-19T04:24:27.757808Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "resonators: 1 inline Purcell (6.5 mm) + 2 open hangers [7.0, 8.0] mm\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import skrf as rf\n",
    "\n",
    "import simpleLOMs as sl\n",
    "\n",
    "sl.apply_style()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f66df14",
   "metadata": {},
   "source": [
    "Our CPWs will all share a common `CPWParams` for the sake of this tutorial, but this can be changed in systems where the hybrid network has CPWs with different width or thickness."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3511fbef",
   "metadata": {},
   "outputs": [],
   "source": [
    "cpw = sl.CPWParams(ep_r=11.45)\n",
    "freq = rf.Frequency(5e9, 11e9, 4001, unit=\"Hz\")\n",
    "Z0 = 50.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d1bcf52",
   "metadata": {},
   "source": [
    "The series CPW, which we'll refer to as the Purcell filter, uses the familiar inline topology."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4cca3e76",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "d_purcell = 6.5e-3\n",
    "Ccs_p = [8e-15, 8e-15]\n",
    "Ctogs_p = [1e-14, 1e-14]\n",
    "seg_purcell_cpw = [{\"kind\": \"cpw\", \"d\": d_purcell}]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c53910c",
   "metadata": {},
   "source": [
    "THe inline resonator is then followed by two open hangers on a through feedline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11a6c1d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "d_hangers = [7.0e-3, 8.0e-3]         \n",
    "Cc_taps = [30e-15, 30e-15]\n",
    "seg_hangers_cpw = [\n",
    "    {\"kind\": \"cpw\", \"d\": d, \"termination\": \"open\"} for d in d_hangers\n",
    "]\n",
    "\n",
    "print(f\"resonators: 1 inline Purcell ({d_purcell*1e3:.1f} mm)\"\n",
    "      f\" + {len(d_hangers)} open hangers {[d*1e3 for d in d_hangers]} mm\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c0c9c34",
   "metadata": {},
   "source": [
    "## 1. Build the CPW hybrid (ground truth)\n",
    "\n",
    "Build each block with its native network builder, then cascade them into one\n",
    "2-port. The inline Purcell puts a **transmission peak** near its loaded\n",
    "resonance; each hanger puts a **notch** in $|S_{21}|$.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a888e98",
   "metadata": {},
   "source": [
    "## 1a. Network objects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3283d88b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T04:24:27.759361Z",
     "iopub.status.busy": "2026-07-19T04:24:27.759243Z",
     "iopub.status.idle": "2026-07-19T04:24:28.061591Z",
     "shell.execute_reply": "2026-07-19T04:24:28.060749Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2117.1x1308.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "S21 peaks  (GHz): [7.2935 8.327  8.966 ]\n",
      "S21 notches (GHz): [7.3565, 8.3825]\n"
     ]
    }
   ],
   "source": [
    "purcell_cpw = sl.resonator_chain_network_2port(\n",
    "    freq, seg_purcell_cpw, Ccs_p, Ctogs_p, cpw_params=cpw, Z0=Z0,\n",
    ")\n",
    "hangers_cpw = sl.hanger_resonator_network_2port(\n",
    "    freq, seg_hangers_cpw, Cc_taps, cpw_params=cpw, Z0=Z0,\n",
    ")\n",
    "hybrid_cpw = purcell_cpw ** hangers_cpw\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c949f16c",
   "metadata": {},
   "source": [
    "## 1b. Plot the network transmission"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ffd7cd8",
   "metadata": {},
   "outputs": [],
   "source": [
    "sl.plot_transmission({\"CPW hybrid\": hybrid_cpw}, m=1, n=0)\n",
    "\n",
    "peaks_cpw = np.sort(sl.resonances_from_s_max(hybrid_cpw, m=1, n=0))\n",
    "notches_cpw = sl.notches_below(hybrid_cpw, thresh=0.7)\n",
    "print(\"S21 peaks  (GHz):\", np.round(peaks_cpw / 1e9, 4))\n",
    "print(\"S21 notches (GHz):\", [round(f, 4) for f in notches_cpw])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5efa8bfb",
   "metadata": {},
   "source": [
    "As expected there are is one major peak and two notches visible on the graph."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98e9bfd5",
   "metadata": {},
   "source": [
    "## 2. Draw the hybrid schematic\n",
    "\n",
    "`hybrid_schematic_2port` puts the inline Purcell and both hangers on **one**\n",
    "rail — the schematic counterpart of cascading the two networks. Same segment /\n",
    "capacitor arguments as the network builders.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d7f3eebf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T04:24:28.063228Z",
     "iopub.status.busy": "2026-07-19T04:24:28.063131Z",
     "iopub.status.idle": "2026-07-19T04:24:28.071859Z",
     "shell.execute_reply": "2026-07-19T04:24:28.071503Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saved figures/hybrid_cpw.svg|.html\n",
      "groups: ['resonator 1', 'hanger 1', 'hanger 2']\n",
      "components: ['P1', 'Cc1', 'Ctog1', 'TL1', 'Ctog2', 'Cc2', 'H1', 'H2', 'P2']\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "Schematic(meta={'title': '', 'description': '', 'source': 'simpleLOMs.schematics.builders.hybrid_schematic_2port', 'units': {'capacitance': 'F', 'inductance': 'H', 'length': 'm', 'impedance': 'ohm', 'frequency': 'Hz'}}, groups=[{'id': 'res1', 'label': 'resonator 1'}, {'id': 'hang1', 'label': 'hanger 1'}, {'id': 'hang2', 'label': 'hanger 2'}], components=[Component(id='P1', type='port', label='Port 1', value='50.00 \\\\Omega', ports=['out'], group=None, orient='series', props={'Z0': 50.0}), Component(id='Cc1', type='cap', label='C_{c1}', value='8.00 fF', ports=['a', 'b'], group=None, orient='series', props={'C': 8e-15}), Component(id='Ctog1', type='cap', label='C_{tog1}', value='10.00 fF', ports=['a', 'gnd'], group='res1', orient='shunt', props={'C': 1e-14}), Component(id='TL1', type='tline', label='CPW 1', value='\\\\ell = 6.50 mm', ports=['in', 'out'], group='res1', orient='series', props={'length': 0.0065, 'Z0': 46.426279489739365}), Component(id='Ctog2', type='cap', label='C_{tog2}', value='10.00 fF', ports=['a', 'gnd'], group='res1', orient='shunt', props={'C': 1e-14}), Component(id='Cc2', type='cap', label='C_{c2}', value='8.00 fF', ports=['a', 'b'], group=None, orient='series', props={'C': 8e-15}), Component(id='H1', type='branch', label='', value='', ports=['a', 'gnd'], group='hang1', orient='shunt', props={'stack': [{'type': 'cap', 'label': 'C_{c1}', 'value': '30.00 fF'}, {'type': 'tline', 'label': 'CPW 1', 'value': '\\\\ell = 7.00 mm (open)'}]}), Component(id='H2', type='branch', label='', value='', ports=['a', 'gnd'], group='hang2', orient='shunt', props={'stack': [{'type': 'cap', 'label': 'C_{c2}', 'value': '30.00 fF'}, {'type': 'tline', 'label': 'CPW 2', 'value': '\\\\ell = 8.00 mm (open)'}]}), Component(id='P2', type='port', label='Port 2', value='50.00 \\\\Omega', ports=['in'], group=None, orient='series', props={'Z0': 50.0})], nets=[Net(id='n1', ports=['P1.out', 'Cc1.a']), Net(id='n2', ports=['Cc1.b', 'Ctog1.a']), Net(id='n3', ports=['Ctog1.gnd', 'GND']), Net(id='n4', ports=['Cc1.b', 'TL1.in']), Net(id='n5', ports=['TL1.out', 'Ctog2.a']), Net(id='n6', ports=['Ctog2.gnd', 'GND']), Net(id='n7', ports=['TL1.out', 'Cc2.a']), Net(id='n8', ports=['Cc2.b', 'H1.a']), Net(id='n9', ports=['H1.gnd', 'GND']), Net(id='n10', ports=['Cc2.b', 'H2.a']), Net(id='n11', ports=['H2.gnd', 'GND']), Net(id='n12', ports=['Cc2.b', 'P2.in'])], annotations={'block': 'hybrid CPW (Purcell + hangers)'})"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "figdir = Path(\"figures\")\n",
    "figdir.mkdir(exist_ok=True)\n",
    "\n",
    "sch_cpw = sl.hybrid_schematic_2port(\n",
    "    seg_purcell_cpw, Ccs_p, seg_hangers_cpw, Cc_taps,\n",
    "    inline_Ctogs=Ctogs_p, cpw_params=cpw, freq=freq, Z0=Z0,\n",
    "    annotations={\"block\": \"hybrid CPW (Purcell + hangers)\"},\n",
    ")\n",
    "sch_cpw.save_svg(figdir / \"hybrid_cpw.svg\")\n",
    "sch_cpw.save_html(figdir / \"hybrid_cpw.html\")\n",
    "print(\"saved figures/hybrid_cpw.svg|.html\")\n",
    "print(\"groups:\", [g[\"label\"] for g in sch_cpw.groups])\n",
    "print(\"components:\", [c.id for c in sch_cpw.components])\n",
    "sch_cpw\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f00b994f",
   "metadata": {},
   "source": [
    "## 3. Fit each resonator with the matching LOM\n",
    "\n",
    "- **Inline Purcell:** `fit_lom(..., model=\"optimized\")` against an isolated\n",
    "  `Cc -- Ctog -- CPW -- Ctog -- Cc` subgroup (Tutorial 3).\n",
    "- **Each hanger:** `fit_lom_hanger` against an isolated CPW hanger notch\n",
    "  (Tutorial 8).\n",
    "\n",
    "Fitting pieces in isolation (50 Ω ports / ideal feed) and stitching them back\n",
    "is the same approximation as Tutorial 3 — the hybrid test asks whether that\n",
    "still holds when the two topologies are cascaded.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9dc7781",
   "metadata": {},
   "source": [
    "### 3a. Inline fit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bd66e313",
   "metadata": {},
   "outputs": [],
   "source": [
    "# --- Inline Purcell ---\n",
    "sub_cpw = sl.cpw_resonator_network_2port(\n",
    "    freq, d_purcell, Ccs_p[0], Ccs_p[1], Ctogs_p[0], Ctogs_p[1],\n",
    "    cpw_params=cpw, Z0=Z0,\n",
    ")\n",
    "f0_sub, _ = sl.circle_fit_f0_kappa(sub_cpw, 0, 0)\n",
    "fit_freq = rf.Frequency(f0_sub - 0.4e9, f0_sub + 0.4e9, 15_001, unit=\"Hz\")\n",
    "\n",
    "m_p = sl.fit_lom(\n",
    "    d_purcell, model=\"optimized\",\n",
    "    Cc1=Ccs_p[0], Cc2=Ccs_p[1], Ctog1=Ctogs_p[0], Ctog2=Ctogs_p[1],\n",
    "    cpw_params=cpw, freq=fit_freq, return_model=True,\n",
    ")\n",
    "print(f\"Purcell (inline): d={d_purcell*1e3:.1f} mm  f0~{f0_sub/1e9:.3f} GHz  \"\n",
    "      f\"L={m_p.L*1e9:.3f} nH  C={m_p.C*1e15:.2f} fF\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c1b72d6",
   "metadata": {},
   "source": [
    "### 3b. Hanger fits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80c9d4eb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T04:24:28.073609Z",
     "iopub.status.busy": "2026-07-19T04:24:28.073515Z",
     "iopub.status.idle": "2026-07-19T04:24:42.788534Z",
     "shell.execute_reply": "2026-07-19T04:24:42.788207Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Purcell (inline): d=6.5 mm  f0~8.966 GHz  L=0.523 nH  C=586.29 fF\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hanger 1:          d=7.0 mm  L=0.553 nH  C=622.36 fF\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hanger 2:          d=8.0 mm  L=0.632 nH  C=710.54 fF\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>role</th>\n",
       "      <th>topology</th>\n",
       "      <th>length_mm</th>\n",
       "      <th>L_nH</th>\n",
       "      <th>C_fF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Purcell (inline)</td>\n",
       "      <td>series</td>\n",
       "      <td>6.5</td>\n",
       "      <td>0.523120</td>\n",
       "      <td>586.287145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>hanger 1</td>\n",
       "      <td>hanger</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.552535</td>\n",
       "      <td>622.361960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>hanger 2</td>\n",
       "      <td>hanger</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.632055</td>\n",
       "      <td>710.543203</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               role topology  length_mm      L_nH        C_fF\n",
       "0  Purcell (inline)   series        6.5  0.523120  586.287145\n",
       "1          hanger 1   hanger        7.0  0.552535  622.361960\n",
       "2          hanger 2   hanger        8.0  0.632055  710.543203"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hanger_models = []\n",
    "rows = [{\n",
    "    \"role\": \"Purcell (inline)\",\n",
    "    \"topology\": \"series\",\n",
    "    \"length_mm\": d_purcell * 1e3,\n",
    "    \"L_nH\": m_p.L * 1e9,\n",
    "    \"C_fF\": m_p.C * 1e15,\n",
    "}]\n",
    "for i, (d, Cc) in enumerate(zip(d_hangers, Cc_taps), start=1):\n",
    "    m = sl.fit_lom_hanger(\n",
    "        d, Cc_tap=Cc, termination=\"open\", cpw_params=cpw, return_model=True,\n",
    "    )\n",
    "    hanger_models.append(m)\n",
    "    rows.append({\n",
    "        \"role\": f\"hanger {i}\",\n",
    "        \"topology\": \"hanger\",\n",
    "        \"length_mm\": d * 1e3,\n",
    "        \"L_nH\": m.L * 1e9,\n",
    "        \"C_fF\": m.C * 1e15,\n",
    "    })\n",
    "    print(f\"hanger {i}:          d={d*1e3:.1f} mm  \"\n",
    "          f\"L={m.L*1e9:.3f} nH  C={m.C*1e15:.2f} fF\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7bf587f",
   "metadata": {},
   "source": [
    "## 3c. Inspect all fits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "959979d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "fits = pd.DataFrame(rows)\n",
    "fits\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7d8b541",
   "metadata": {},
   "source": [
    "## 4. Rebuild the lumped hybrid and compare to CPW\n",
    "\n",
    "\n",
    "We now Cascade the  inline $L$, $C$ and theHanger $L$, $C$s generated in the previous step to build the overall netowrk which we will then\n",
    " overlay on\n",
    "$|S_{21}|$.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f0c5fc2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T04:24:42.789794Z",
     "iopub.status.busy": "2026-07-19T04:24:42.789713Z",
     "iopub.status.idle": "2026-07-19T04:24:42.874404Z",
     "shell.execute_reply": "2026-07-19T04:24:42.874137Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1012.5x625.759 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 1012.5x625.759 with 1 Axes>,\n",
       " <Axes: title={'center': 'Hybrid $|S_{21}|$: CPW vs LOM'}, xlabel='Frequency, $f$ (GHz)', ylabel='$|S_{21}|$ (dB)'>)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seg_purcell_lc = [{\"kind\": \"lc\", \"L\": m_p.L, \"C\": m_p.C}]\n",
    "seg_hangers_lc = [\n",
    "    {\"kind\": \"lc\", \"L\": m.L, \"C\": m.C} for m in hanger_models\n",
    "]\n",
    "\n",
    "purcell_lc = sl.resonator_chain_network_2port(\n",
    "    freq, seg_purcell_lc, Ccs_p, Ctogs=None, cpw_params=cpw, Z0=Z0,\n",
    ")\n",
    "hangers_lc = sl.hanger_resonator_network_2port(\n",
    "    freq, seg_hangers_lc, Cc_taps, cpw_params=cpw, Z0=Z0,\n",
    ")\n",
    "hybrid_lc = purcell_lc ** hangers_lc\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1f15767",
   "metadata": {},
   "source": [
    "Plotting the transmission shows that there is strong agreement between the network of lumped elements and the fully distributed network:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98cecba5",
   "metadata": {},
   "outputs": [],
   "source": [
    "sl.plot_all_models(\n",
    "    {\"CPW\": hybrid_cpw, \"Optimized\": hybrid_lc},\n",
    "    m=1, n=0, quantity=\"db\",\n",
    "    title=r\"Hybrid $|S_{21}|$: CPW vs LOM\",\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97ec74ba",
   "metadata": {},
   "source": [
    "### 4b. Evaluate the accuracy\n",
    "\n",
    "With the two networks, to go further than just a graph we can determine numerically how accurate their predicted peaks are.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "666ee4d1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T04:24:42.875464Z",
     "iopub.status.busy": "2026-07-19T04:24:42.875369Z",
     "iopub.status.idle": "2026-07-19T04:24:42.881146Z",
     "shell.execute_reply": "2026-07-19T04:24:42.880898Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max |error_%|: 0.06169877287996161\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>feature</th>\n",
       "      <th>CPW_GHz</th>\n",
       "      <th>Lumped_GHz</th>\n",
       "      <th>error_MHz</th>\n",
       "      <th>error_%</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>notch</td>\n",
       "      <td>7.3565</td>\n",
       "      <td>7.3565</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>notch</td>\n",
       "      <td>8.3825</td>\n",
       "      <td>8.3825</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>peak 1</td>\n",
       "      <td>7.2935</td>\n",
       "      <td>7.2980</td>\n",
       "      <td>4.5</td>\n",
       "      <td>0.061699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>peak 2</td>\n",
       "      <td>8.3270</td>\n",
       "      <td>8.3285</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.018014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>peak 3</td>\n",
       "      <td>8.9660</td>\n",
       "      <td>8.9660</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  feature  CPW_GHz  Lumped_GHz  error_MHz   error_%\n",
       "0   notch   7.3565      7.3565        0.0  0.000000\n",
       "1   notch   8.3825      8.3825        0.0  0.000000\n",
       "2  peak 1   7.2935      7.2980        4.5  0.061699\n",
       "3  peak 2   8.3270      8.3285        1.5  0.018014\n",
       "4  peak 3   8.9660      8.9660        0.0  0.000000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "notches_lc = sl.notches_below(hybrid_lc, thresh=0.7)\n",
    "peaks_lc = np.sort(sl.resonances_from_s_max(hybrid_lc, m=1, n=0))\n",
    "\n",
    "rows_n = []\n",
    "for nc in notches_cpw:\n",
    "    nl = min(notches_lc, key=lambda x: abs(x - nc))\n",
    "    rows_n.append({\n",
    "        \"feature\": \"notch\",\n",
    "        \"CPW_GHz\": nc,\n",
    "        \"Lumped_GHz\": nl,\n",
    "        \"error_MHz\": (nl - nc) * 1e3,\n",
    "        \"error_%\": 100.0 * (nl - nc) / nc,\n",
    "    })\n",
    "\n",
    "rows_p = []\n",
    "for i, (pc, pl) in enumerate(zip(peaks_cpw[:3], peaks_lc[:3]), start=1):\n",
    "    rows_p.append({\n",
    "        \"feature\": f\"peak {i}\",\n",
    "        \"CPW_GHz\": pc / 1e9,\n",
    "        \"Lumped_GHz\": pl / 1e9,\n",
    "        \"error_MHz\": (pl - pc) / 1e6,\n",
    "        \"error_%\": 100.0 * (pl - pc) / pc,\n",
    "    })\n",
    "\n",
    "compare = pd.DataFrame(rows_n + rows_p)\n",
    "print(\"Max |error_%|:\", float(np.max(np.abs(compare[\"error_%\"]))))\n",
    "compare\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d99e4de1",
   "metadata": {},
   "source": [
    "## 5. Lumped hybrid schematic\n",
    "\n",
    "Same `hybrid_schematic_2port`, now with fitted LC tanks (no Ctog on the inline\n",
    "block — OptimizedFit absorbs grounds).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ebfd1ab7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T04:24:42.882233Z",
     "iopub.status.busy": "2026-07-19T04:24:42.882146Z",
     "iopub.status.idle": "2026-07-19T04:24:42.888381Z",
     "shell.execute_reply": "2026-07-19T04:24:42.888132Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saved figures/hybrid_lc.svg|.html\n"
     ]
    },
    {
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       "Schematic(meta={'title': '', 'description': '', 'source': 'simpleLOMs.schematics.builders.hybrid_schematic_2port', 'units': {'capacitance': 'F', 'inductance': 'H', 'length': 'm', 'impedance': 'ohm', 'frequency': 'Hz'}}, groups=[{'id': 'res1', 'label': 'resonator 1'}, {'id': 'hang1', 'label': 'hanger 1'}, {'id': 'hang2', 'label': 'hanger 2'}], components=[Component(id='P1', type='port', label='Port 1', value='50.00 \\\\Omega', ports=['out'], group=None, orient='series', props={'Z0': 50.0}), Component(id='Cc1', type='cap', label='C_{c1}', value='8.00 fF', ports=['a', 'b'], group=None, orient='series', props={'C': 8e-15}), Component(id='LC1', type='lc', label='LC 1', value='L = 523.12 pH\\nC = 586.29 fF', ports=['a', 'gnd'], group='res1', orient='shunt', props={'L': 5.231200087252072e-10, 'C': 5.862871450849986e-13}), Component(id='Cc2', type='cap', label='C_{c2}', value='8.00 fF', ports=['a', 'b'], group=None, orient='series', props={'C': 8e-15}), Component(id='H1', type='branch', label='', value='', ports=['a', 'gnd'], group='hang1', orient='shunt', props={'stack': [{'type': 'cap', 'label': 'C_{c1}', 'value': '30.00 fF'}, {'type': 'lc', 'label': 'LC 1', 'value': 'L = 552.54 pH\\nC = 622.36 fF'}]}), Component(id='H2', type='branch', label='', value='', ports=['a', 'gnd'], group='hang2', orient='shunt', props={'stack': [{'type': 'cap', 'label': 'C_{c2}', 'value': '30.00 fF'}, {'type': 'lc', 'label': 'LC 2', 'value': 'L = 632.06 pH\\nC = 710.54 fF'}]}), Component(id='P2', type='port', label='Port 2', value='50.00 \\\\Omega', ports=['in'], group=None, orient='series', props={'Z0': 50.0})], nets=[Net(id='n1', ports=['P1.out', 'Cc1.a']), Net(id='n2', ports=['Cc1.b', 'LC1.a']), Net(id='n3', ports=['LC1.gnd', 'GND']), Net(id='n4', ports=['Cc1.b', 'Cc2.a']), Net(id='n5', ports=['Cc2.b', 'H1.a']), Net(id='n6', ports=['H1.gnd', 'GND']), Net(id='n7', ports=['Cc2.b', 'H2.a']), Net(id='n8', ports=['H2.gnd', 'GND']), Net(id='n9', ports=['Cc2.b', 'P2.in'])], annotations={'block': 'hybrid LOM (OptimizedFit + HangerOptimizedFit)'})"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sch_lc = sl.hybrid_schematic_2port(\n",
    "    seg_purcell_lc, Ccs_p, seg_hangers_lc, Cc_taps,\n",
    "    inline_Ctogs=None, cpw_params=cpw, freq=freq, Z0=Z0,\n",
    "    annotations={\"block\": \"hybrid LOM (OptimizedFit + HangerOptimizedFit)\"},\n",
    ")\n",
    "sch_lc.save_svg(figdir / \"hybrid_lc.svg\")\n",
    "sch_lc.save_html(figdir / \"hybrid_lc.html\")\n",
    "print(\"saved figures/hybrid_lc.svg|.html\")\n",
    "sch_lc\n"
   ]
  }
 ],
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