From 41bd344859d22973dcb3e8a86bd1de92be809cfb Mon Sep 17 00:00:00 2001 From: PhillipRambo Date: Tue, 8 Apr 2025 15:16:15 +0200 Subject: [PATCH] add MPA content --- .../python/post_processing.ipynb | 8 +- .../python/ads_processing.ipynb | 315 -------------- .../python/post_processing.ipynb | 51 +-- .../layout_gds/inductor_input.gds | Bin 0 -> 1512 bytes .../layout_gds/input_inductor.gds | Bin 474 -> 0 bytes .../run_input_inductor_50ghz_mpa.s2p | 403 ------------------ .../openems/run_input_inductor_50ghz_mpa.py | 2 +- 7 files changed, 14 insertions(+), 765 deletions(-) delete mode 100644 modules/module_2_50GHz_MPA/part_4_layout_EMsims/data_processing/python/ads_processing.ipynb create mode 100644 modules/module_2_50GHz_MPA/part_4_layout_EMsims/input_inductor_3/layout_gds/inductor_input.gds delete mode 100644 modules/module_2_50GHz_MPA/part_4_layout_EMsims/input_inductor_3/layout_gds/input_inductor.gds delete mode 100644 modules/module_2_50GHz_MPA/part_4_layout_EMsims/input_inductor_3/openems/output/run_input_inductor_50ghz_mpa_data/run_input_inductor_50ghz_mpa.s2p diff --git a/modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/python/post_processing.ipynb b/modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/python/post_processing.ipynb index 0e1ff9ff..1d7f5d26 100644 --- a/modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/python/post_processing.ipynb +++ b/modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/python/post_processing.ipynb @@ -29,10 +29,10 @@ "outputs": [], "source": [ "# Read CSV data (change paths accordingly)\n", - "Iin_csv = pd.read_csv('/home/pedersen/projects/IHP-AnalogAcademy/modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/schematic/load_pull_2/csv/IPR2.csv', delimiter=';', comment='#')\n", - "Iout_csv = pd.read_csv('/home/pedersen/projects/IHP-AnalogAcademy/modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/schematic/load_pull_2/csv/IPR3.csv', delimiter=';', comment='#')\n", - "Vin_csv = pd.read_csv('/home/pedersen/projects/IHP-AnalogAcademy/modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/schematic/load_pull_2/csv/Vin.csv', delimiter=';', comment='#')\n", - "Vout_csv = pd.read_csv('/home/pedersen/projects/IHP-AnalogAcademy/modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/schematic/load_pull_2/csv/Vout.csv', delimiter=';', comment='#')\n", + "Iin_csv = pd.read_csv('../schematic/load_pull_2/csv/IPR2.csv', delimiter=';', comment='#')\n", + "Iout_csv = pd.read_csv('../schematic/load_pull_2/csv/IPR3.csv', delimiter=';', comment='#')\n", + "Vin_csv = pd.read_csv('../schematic/load_pull_2/csv/Vin.csv', delimiter=';', comment='#')\n", + "Vout_csv = pd.read_csv('../schematic/load_pull_2/csv/Vout.csv', delimiter=';', comment='#')\n", "\n", "# Initialize an empty DataFrame with the correct number of rows based on Iin_csv\n", "power_df = pd.DataFrame({\n", diff --git a/modules/module_2_50GHz_MPA/part_4_layout_EMsims/data_processing/python/ads_processing.ipynb b/modules/module_2_50GHz_MPA/part_4_layout_EMsims/data_processing/python/ads_processing.ipynb deleted file mode 100644 index f7c4ac3b..00000000 --- a/modules/module_2_50GHz_MPA/part_4_layout_EMsims/data_processing/python/ads_processing.ipynb +++ /dev/null @@ -1,315 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 112, - "id": "f7e49d78-2e8a-4ff7-a319-cf2585b0704c", - "metadata": {}, - "outputs": [], - "source": [ - "# Import libraries\n", - "import pandas as pd\n", - "pd.set_option('display.float_format', lambda x: '%.22f' % x)\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import os\n", - "import scienceplots\n", - "plt.style.use(['science', 'ieee'])\n", - "# creates figs directory|\n", - "output_dir = 'figs'\n", - "if not os.path.exists(output_dir):\n", - " os.makedirs(output_dir)" - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "id": "c7391bcb-7b8c-4a7c-b223-ed42bffe901e", - "metadata": {}, - "outputs": [], - "source": [ - "# Read CSV data (change paths accordingly)\n", - "ads_data = pd.read_csv('../../core_1/post_layout_sim/schematic/csv/ads_data/data_MPA_export.csv', delimiter=';', comment='#')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "id": "0b2da77e-573f-42b8-a59a-ae71028fac44", - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "\n", - "# Define the path to the file\n", - "file_path = '../../core_1/post_layout_sim/schematic/csv/ads_data/data_MPA_export.csv'\n", - "\n", - "# Load the data\n", - "data = pd.read_csv(file_path, header=None)\n", - "data = data.drop(0, axis=0).reset_index(drop=True)\n", - "\n", - "data.columns = ['PindBm', 'PindBm_2', 'Vout_raw', 'Vin_raw', 'Po_raw', 'Iout_raw', 'Iin_raw', 'PindBm_3']\n", - "\n", - "# Remove the PindBm_2 and PindBm_3 columns\n", - "data = data.drop(['PindBm_2', 'PindBm_3'], axis=1)\n", - "\n", - "# Function to split magnitude and phase\n", - "def split_magnitude_phase(column):\n", - " magnitude = []\n", - " phase = []\n", - " \n", - " for value in column:\n", - " if ' / ' in str(value): # If it contains ' / ' (magnitude and phase)\n", - " mag, ph = str(value).split(' / ')\n", - " magnitude.append(float(mag))\n", - " phase.append(float(ph))\n", - " else: # If it only contains magnitude (no phase)\n", - " magnitude.append(float(value))\n", - " phase.append(None) # Set phase as NaN or None\n", - "\n", - " return pd.Series([magnitude, phase])\n", - "\n", - "# Split the columns into magnitude and phase\n", - "data[['Vout_mag', 'Vout_phase']] = split_magnitude_phase(data['Vout_raw'])\n", - "data[['Vin_mag', 'Vin_phase']] = split_magnitude_phase(data['Vin_raw'])\n", - "data[['Po_mag', 'Po_phase']] = split_magnitude_phase(data['Po_raw'])\n", - "data[['Iout_mag', 'Iout_phase']] = split_magnitude_phase(data['Iout_raw'])\n", - "data[['Iin_mag', 'Iin_phase']] = split_magnitude_phase(data['Iin_raw'])\n", - "\n", - "# Drop the original raw data columns\n", - "data = data.drop(['Vout_raw', 'Vin_raw', 'Po_raw', 'Iout_raw', 'Iin_raw'], axis=1)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 115, - "id": "5697eda0-31fd-479e-8fb6-21c733cfed09", - "metadata": {}, - "outputs": [], - "source": [ - "# creating costum columns for the caluated power levels\n", - "\n", - "input_power_calculated = []\n", - "output_power_calculated = []\n", - "\n", - "for i in range(len(data)):\n", - " phase_diff_in = np.radians(data.iloc[i]['Vin_phase'] - data.iloc[i]['Iin_phase'])\n", - " input_power_calculated.append(data.iloc[i]['Iin_mag'] * data.iloc[i]['Vin_mag'] * np.cos(phase_diff_in))\n", - " \n", - " phase_diff_out = np.radians(data.iloc[i]['Vout_phase'] - data.iloc[i]['Iout_phase'])\n", - " output_power_calculated.append(data.iloc[i]['Iout_mag'] * data.iloc[i]['Vout_mag'] * np.cos(phase_diff_out))\n", - "\n", - "data = data.copy() # Make a copy to avoid the warning\n", - "data.loc[:, 'Input_Power_calculated'] = input_power_calculated\n", - "data.loc[:, 'Output_Power_calculated'] = output_power_calculated\n", - "\n", - "RMS = True\n", - "data = data.copy() # Ensure you're working with a copy of the original\n", - "if RMS:\n", - " data.loc[:, 'Input_Power_calc_dbm'] = 10 * np.log10((data['Input_Power_calculated'] / np.sqrt(2)) * 1000)\n", - " data.loc[:, 'Output_Power_calc_dbm'] = 10 * np.log10((data['Output_Power_calculated'] / np.sqrt(2)) * 1000)\n", - "else:\n", - " data.loc[:, 'Input_Power_calc_dbm'] = 10 * np.log10(data['Input_Power_calculated'] * 1000)\n", - " data.loc[:, 'Output_Power_calc_dbm'] = 10 * np.log10(data['Output_Power_calculated'] * 1000)\n", - "\n", - "Input_power_calc_dbm_array = data['Input_Power_calc_dbm'].to_numpy()\n", - "Input_power_calc_dbm_array_rounded = np.round(Input_power_calc_dbm_array, 2)\n", - "\n", - "Output_power_calc_dbm_array = data['Output_Power_calc_dbm'].to_numpy()\n", - "Output_power_calc_dbm_array_rounded = np.round(Output_power_calc_dbm_array, 2)\n", - "\n", - "data.loc[:, 'po_dbm'] = 10 * np.log10(data['Po_mag']*1000)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 116, - "id": "be235040-3e50-4be0-b78d-2eec42487e68", - "metadata": {}, - "outputs": [], - "source": [ - "RMS = True\n", - "data = data.copy()\n", - "if RMS:\n", - " Iin = data['Iin_mag']/np.sqrt(2)\n", - " Vin = data['Vin_mag']/np.sqrt(2)\n", - " Iout = data['Iout_mag']/np.sqrt(2)\n", - " Vout = data['Vout_mag']/np.sqrt(2)\n", - "Iin_phase = data['Iin_phase']\n", - "Vin_phase = data['Vin_phase']\n", - "Iout_phase = data['Iout_phase']\n", - "Vout_phase = data['Vout_phase']\n", - " \n", - "Po_calc = 10 * np.log10((Iout * Vout * np.cos(Vout_phase - Iout_phase)) * 1000 )\n" - ] - }, - { - "cell_type": "code", - "execution_count": 117, - "id": "cd5a1084-ce65-4752-b030-f64f86f03900", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0 -16.7618708346504732276117\n", - "1 -16.4001282555870844248602\n", - "2 -16.0462991753049131204989\n", - "3 -15.8502665202918198161797\n", - "4 -15.6863623584101254948564\n", - " ... \n", - "95 10.8318000412997683667982\n", - "96 10.8554030603694773304824\n", - "97 10.8827787599593506229212\n", - "98 10.9061070782840658921486\n", - "99 11.1223623086893912415007\n", - "Length: 100, dtype: float64" - ] - }, - "execution_count": 117, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "712c2544-0de7-4f09-a71e-d393e660cb05", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 111, - "id": "ad223716-5fd2-4c50-b962-56c3a059aab4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "100" - ] - }, - "execution_count": 111, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "input_power = data['PindBm'].values.astype(float).round(2) # Convert to float\n", - "output_power = np.array(Po_calc).round(2) # Ensure Po_calc is also a NumPy array\n", - "len(input_power)" - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "id": "71475d76-3680-477e-a90a-594250437f62", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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z+VyGw6GIvK/ck1QOPKRfnJJT6MNRFC3P/V6vt7NCmu/70u12Sx1D3/flyZMnhT6TjFmu64qmaYXXkbc813VlOByWOs/yJNUkkW9XtbOy12Lf96XT6Yht28vrlKIoy3F0MpmI53niOE7qspMKfWXOraSdrusWrmqlqupyjE77ned5y3GxTBuylrnJsixxHCf3/BkOh6WnGI3jeFkldvPY7to3QRBIt9sV27ZLrTORjKObxz9rXbuOcRAEtV+H6r5HO+Vxat9+kiYMw0r2RV3VB4ss75D79KIubXsv+fvjuaqz0rKqqlS+BAAAwNn6oOkGAAAAAMCpKTItXL/fr6El9er3+1vb7nlealBH0zTRNE0Mw5B+v7/2QDCKIun3+zKdTks9gPF9X1zXrWRavvF4LK7rlp5WOo5jub293Ws66vF4LN1ut3SY5FBJ6MY0TRmPxzvDZ0nIoSxd15fBl7RAx2QyKfxA1rbttQBAEhpKoyiKOI6zDCyuPkQ856lb296HoygS13XF9/1SgQDLsmQ8Hpdum8j7bRsMBuK67s6pFpO+aJqmjEajg0Isqqpura9ogDRLv99fC4UFQZB5zAzDyA2IlQ2PnYoifbhM2DbtGuc4TmZ/Hw6HEkVR6lS7ydS5w+Gw0HS0yTh9d3cnnU4n971FxmjDMMQwDHn+/Ln0er3cc1BRFJlOp6X6iaqqMhwOZTgcpp4/efstSxAEMhgMluO2pmny/Plz0XV97V4hjmN59eqV2LadOsaPRiOJokg8z9u5Tt/35eXLl6XO1SSkVsTHH39cWZh5lybu0U55nDrG/YFt2/Lxxx8X6ntpptNp5u+ur6/3bVaqXfs7DMOjH5NL295L/f54aQzDkKdPn5YOGWZd0xL7jisAAADASWi03iMAAAAAnKAiU6seMl1xG6VN2TgcDgt9Nmta1iLTKO4z5WGRfW8YxvJn13SgyVSjs9ls7b2KoixM01w4jrNwHGdhmmahqUWbnubLNM3c9lUxJfDm1LmmaRb+7OaUqWWmet2cCm7fqd+Opcqpotvch8tOxZxMEZjVN1VVLT3tadnpevO2e5+pf+fzeW6by05pmzcddRuvN3WMg7vGsqJT9c7n89Trepn9mjddZNkpMHdNPe66bqnl7Zoi89Axfz6fHzzubo77Rbcx734sb7+XnZo76Uu7zutDj/2+mrpH23Rq49Ri8f6YTqfTxWQyWTiOszAMY69ptld/9p2iPm969GNMPZ63DUX7zyEubXsv8ftj4lynijYMY63Plr23S+y67tfRPwEAAIAmMVU0AAAAAJRUpMpTFdOPtsVoNEqtElK0klVSiW9TXmWexKtXr2Q8HouqqqLremX71fO85c9sNttZGSqpnpVUJXJdV+bz+XJ62OFwKK7rymw2y6wMmHh4eKhkG/a1q/rXbDY7eB2byyhScSyxWbnr+fPnhT+bTHGdeHx8LPzZU9PmPnx9fS2appU6Z1crLSZVNGez2XJq8GSaU8/zCi1ztXJbEVVXRVMUhSkfjyiKop2VOYtU0YzjOLNCbJnrjeM4meNcMgVxUaZp5lZqKlspTtO0nRVID7E5zpatXppMr50oUjE18fr168x95ft+ZiXFZIxJxtCi67u9vZU4jkXTNJlMJjKbzXI/+/Tp00LLPUST92jnQFGU5fVqOByK53kyn8+X18J9xvHNPl1UHdMVr6pynNnHpW3vpX1/vCSKoshkMtmramccx7njtaqqpb5HAQAAAKeI4CIAAAAAlFDkwVbZqaHaroqgXVZoY1dAyjRNmc/nMp1OZTKZyHQ6PcpUWXkPhKIoWk5BrGnazqCCaZq503juOw1uVRRFyQ25VTEV9+rDWcMwCp8TadMKl32IOxwOz+4cLKJNfVjTtLVzdj6f5x5H3/eXy3QcR+bzuQyHw9QHwIZhyHQ6LfQQt0xw5MMPPyz83qLOdYrmNth1bA3DKBQ4GgwGW2OOaZp7hZWGw2Hm54IgKBXoy+vfH3/8cem25a370LD6ZhinTEgyiiK5vb1d/lvX9VKfTwKIWZ49e5Z635aE1JIptYuEJW3bljAMl2OQruuiqqq4rpt5X3LMwGiiyXu0c6aq6vJaOJ/PxXGcUvcWvu+XDvHm/bHFMe5r8qZjruMPPy5pey/x++MlKfNHVpt23c8wRTQAAAAuAcFFAAAAACjhzZs3O9+T92Ds1Pi+n/mwrUyllKwAzz4hOcMwjhIIygpWJdufhBWKrDurglGyvKarGOU9YIui6OD2rZ4nZR7mvXz5cuu1fY51ss46Kui0SVv7sKIohfrBdDrdWTkykVTGyhMEQeExhpDh6ej3+7n9T1XVQg/60yrV7QrC7eJ5Xmb4JKsyXpq8wNs+182kanGaV69elV7eqtWQc9mg3mZl1H32/d3dXebv4jgu/McCeRWv3rx5I6PRSAzDSO1bhmEsA+HJvp7NZkcPIrXxHu0cJX/wkVQpLnpcy5zzIu26Z6mjLZe0vZf2/fFSrN5f78P3/dwxwjRNqnACAADgInzQdAMAAAAA4JS0pWJGEASVPmTTNC31wXXeg+8y68966LLvNHG6rldeuTDvgaFpmqUrDw0Gg8yHUW/evGn0QVTyEH40GqX+3nXdvSstrQYpNE0rtZ1pYaQoikqHygzDKF3p6By0uQ/vqmBXdmpekffHOa8fi7wPQjU1ZfMxqjhesmT61V3XjbxqoYk4jlPHiLu7u4Ou4UlIN2v8sSyrcIVD0zRTr3NxHEsQBKX7tWVZqefzvstLrAYfi05PLLI9FXHZ60UimZY9a6x6eHgoFIjOW3ccx6Ioirx48SLzPUn1xTq19R7tnJmmKaZpim3budeehG3bMp1OD15v3aG2Oiou5jm37b20749lhWFY6Hza16GVhfMoirL3FNHPnj3L/H0T1xQAAACgKQQXAQAAAKCEIg+26njYZllWpQ+Ui0yTeCz7BNOO8XAvb5n7PDjKC4FU8RD7UM+fP898SDgej/d+WLb6ubJTp6WdX77vF67Cl1BVVTRNa7yyZd3a3Ifz2qZp2t6hKcdxUqcYTyQP6ZmC8XQFQSCu64rv+7nvU1VVJpNJoetJXrDwUMPhUB4eHlLDIVEUyXg8LnS9tSwrM6Dvum7pcyavItQ+yxN5HzbZN6i+eQzu7+9Lrz/R7/czg4tJhdhD/1jgxYsXFzmO7HOPdgkcx5H7+3u5vb3NDYKFYSi+7++syNZE9cG8/nzs9lza9vL9MV8URSf5B0ePj497j4/Pnj3L7XeEFgEAAHBJmCoaAAAAACpWx4PtyWQi0+lUPM8Tx3H2eiBvGIa4rivT6TTzoVPeg9aqqpjt87DwFCqZ5T3IarqSjcj7fpp3fPepaJlU7iqy/KKyAkC7HBKCwXt19eFDQzG7HnZXXZ0Vh3v16tWy4l4Yhssp6oMgEN/3ZTQaSb/fl06nI/1+f2do0TRNmc1mhfpS3vTBVVXCzQtyFJ0OOa+SVd4UwXmyxuRd+zfLarDikGqLIofdU+z67KFTHld1PataW+/RLoWmafL27dud404Vgay6Q7NN36de2vaKnNf3x0vx/Pnzwtf0Vb7v5153TdNsrFo4AAAA0ASCiwAAAABwgpKKcslUqdPptND0mCLvH4zNZjPxPE9M08x9aKWqauoDGc/zKnvAts/DwlOvetSWIEBeRcR9Kn2shoHu7u5Kfz6t2kwcx3J7e1t6WYZhNDod97lrSx8Wef+AN29M+Pjjj+trDAqxLEv6/b70ej3p9XrS7Xal1+tJv9+XwWAgtm0XmtJS13WZTCalxqtjhxZF8oPTURQVDtLlBZ5Wp2guKi9cWDbguxkALRNg8Txv67VD9v+uzxa9P8rS1oqDbb1HuySKosh0Os3tI1EU7RzLdh2vuq+5x67+d2nb2xZ1fX+8FIZhlA4Y7poiWlEUqi0CAADg4jBVNAAAAACUUOTBVlOBHl3XZTgcZk7/m3j+/Hmph/DD4VAMwxDf90VRFLm7uzv54CDeS6b2TJtSOamEVubB5OqDtn0qDOm6nhqeCcNQut1u4WlgRd4/nG3DlNyox93dXWbw6tBqa2gXVVVF13WxLGuv4ERWSOPm5ubQpi1pmiaKomTeD0wmk0Jhh7u7u8yw4T5TdObdw5Rd3mpwsmw70kKXx5wm9NCpUdscauIerXmKoojnedLr9TLf8+rVq53nSd6YUbc6+tAlbe8lfn8swzCM1EB7VcIwzD0/67Rriuhj7gcAAACgrQguAgAAAEAJRR5sNVmd5v7+fueDp32m9VJVVYbD4b7NSg3GXYI2PZTN8vz5cxkMBqm/c123cNWPIAiW4ZC8KU7zDAaDzPBZFEXS7XZlOBzuNS0b9nMKfVgkv+/EcSxxHBPmaZFkfHh8fNzqX8lxur6+FkVRRFVVUVVVnj59uvfYsioryFp1/6giTJtMUZw2pWQyxXaZ/fHw8JD5u7LLWx2Hy0wTnVV9bte9yyEODS62HfdozdM0LTf8NZlMdt5/X19f13q9bfrafknbe6nfH7EuCAKmiAYAAABSMFU0AAAAAJTQ5ooZIsWmWqwrvBPHsYxGI+l2u5nBODTPMIzMPlFm6tDVgGPeFNR5dF3fGZoZjUbS6XRyH/zh8ux60HvuwaVTM51OZTabyXw+l8VisfYzn89lPp/LbDaT6XQqnueJ4zhiGMbRQosiIh9++OFBy96UV92pTFAsbzwtE+KOomjnuFk0qJ6EHEX+pnJvUU1VQGUMWMc9WvXyztUi/S/v/rzuUFsdVUYvaXv5/ggRyR1rmSIaAAAAl4zgIgAAAACU0PaKGSL5bazjoVMYhmJZlnQ6HbFtm7DACcirolI0vLgaiDEMY++2FJkiLY5jGQwG0u/36V9YalMIAu1U53ixa+rpom3JqzKZNuVyliIhx6Lj/WrlxjLVFkXSp+rWdX0rwFr1z7GmOD013KMdj6IomfdTRUJpdU9JnnddrON8uaTt5fsjLMtiimgAAAAgA8FFAAAAACihyIOtpqdea4rv+9Lr9aTX6y3DD5qmieu6Mp1OG24d8uRVCSpS/WM17HLoVHJJnykiCALpdrti2/ZB68R5yAuKXeq4jHWz2Szzd+/evat0XbvuF8r0yaxwYBzHharPxnG8Nk5njbFxHO+siLi5zrJjftp2Nx3YuQTco9Ujq6JakT6eFw6r+xrW7XaPvo5L2l6+P162MAxz/zDAMAymiAYAAMBFI7gIAAAAACUVmU6rqakQRfIrmFRd3SSZarDT6chgMFhOf2kYxnKaT9M0qdTRcoqiZD4wC8Nw57SmqyGYKkKEpmmWmgI16YNNnndoXl4wgGAURPKDIVWHRnZd98pUussLB5YNl2uaJqZpZo75u5Z3aFA97VwksHMc3KPVL+u8KtLHnz59mvm7Y1zD8tpUR8XFS9tevj9erl1TRL948aLG1gAAAADtQ3ARAAAAAEoqUhEhbSrEcxLHsdi2vZxqMHkYaJqmzOdz8TyPaRlPTF7gMC/IEkXRMgyRN6VpWcPhsNS0aXEcS7/fl8FgQAjmQuWFbxiPIJIfhjlGUKaq6csVRRHDMFJ/FwTBzjFvdWrnpMJuVhXHXRUcV68HZaeJFkkPbDJdcbW4R2tWWkCtSDg07/tF1efIrjGjSMjuUGzvtnP//niJbNvO7c+e5xEeBwAAwMUjuAgAAAAAJfX7/Z3v2VWh7pSNRiN58uSJjEaj5Wu6rstsNhPXdXn4cqJ0Xc8MMuRNb3ZoiCVPUhWqTMDC93158uQJ1Rcv0Icffpj5O6oFYZdjBJ7z+l3Z4Fje+Jo3Ro/H4+W2qaq6DEAahpF5vc5aXhAEywCGqqp7hX2y9jOB82pwj9a8tPO+yDUo73yq+vzIC1IpitJ4BcJz3N5L//54icIwXBuLNzFFNAAAAPAewUUAAAAAKOnm5mbne84xNBXHsfR6vbXqPSLvg2uTyYTqPWdgn2DModOG7qKqqsxmMxkOh4U/k1RfzAvz4LIQ1oFIfnjozZs3la8vr9+VDdPmhcvzquI6jrP8783Kund3d6WWt/p6XpXefVB18TDco7VH2nlf9BqUd5yqDPPlVXytM0h1Sdt7qd8fLxlTRAMAAADFEFwEAAAAgJIURSlUZeicHj6FYShPnjzZqgQymUyOElZDM/KOZVqQxff9tSkoj8lxHJnNZqUeMFuWtXPaU5yPd+/eZf6O0A5ERLrdbubv4jiuterfPn0yK1weRVFqpS7f95eBQEVRtsbprPBhGIZbQcI4jtfG033H/KwA1zndM9WNe7R2SQslFz3f8+5xqpzOPi8oXKQyYFUuaXsv8fvjJds1RfSLFy/4oxoAAADg/yC4CAAAAAB7WK1gdMh7ToHv+9Lr9bYCHZ7nMb3VmUkLtiTSgizHnCY6jaqqMplMSlWPGgwGTL134QgtIrErJFB11b+8IOQ+gYWy4fKHh4flfz9//nzr93nTPW8ur6rqulmVJieTyd7LvGTco7VPWuDu6dOnhT7b6/Uyf1flvcxsNsv8XZHKgFW5tO29pO+PlyyKop1TRBuGUWOLAAAAgHYjuAgAAAAAe8ibsjERBMHJT30YhmHqNFe6rvPA5UzlTf+5+jA1juNlVRhN0wpVkamKrusym80KP9xdDe/gfGWFxAjvILEroHKM6aLT7NsnFUXJ/OyrV6/W/h2G4VrwZzgcpn4uK3S+GlQUWR9HDwmqU3GxOtyjtVPatajoOZ/3vo8//njfJm3JCwXWfT+X5Vy39xK+P146pogGAAAAyiG4CAAAAAB7uoSqGc+ePUt9vY7qemhGXgWu1WDMaqilqv5QdprW4XAo8/l8ZyBgdbpUnK+s0Fmd016i3TRNy6106HlepevLGncO6ZNZ4fLNqZxX35cVWhTJrp64Gk4PgmA5PuddI4rIC+1shiWrNBgM1vbPOeAerZ3SrkVFzxlVVTPPkSorEGZdL+sOvF7a9opcxvfHSzYajXL7LlNEAwAAANsILgIAAADAngzD2Fk1Yzwen+w0tUEQZLadCmbnLW1KUZH1YMzqNKKHTBu6qtfr5VZ8TKMoikwmk9RpUldRzev8MV6hiLz+UOU4kRfEPqRP6rqeGXpIxsEoita2JWtMT2SFd5LlrYZoyo7Rm/JCm8cK64xGo7MLLXKP1k5RFG2d+2WPR1bwtKqKsHEcZ45PTYReL217z/374yWLoij3GskU0QAAAEA6gosAAAAAcIAi1Znypotqs7xto1LEeTMMI/MYPzw8SBiGy0piVYUWE/sGh0zTzA0vzmazfZuEE5BV2S6vLx/bu3fvalnP4+NjLes5F/f397m/ryq8mBW6ObRioUj2uJtURlwNAJqmufMcyArvJNVqV/fJ3d1d+QavyJuuO4qiyqsuhmEotm2LoihnFRg5tXu0Sxmn0saPsoHcvCqoVVSPzhrj8qaiP6ZL216R8/7+eMmOOUV0EARydXVFoBUAAABnieAiAAAAABxA07Sdld52VV9oKyrUXbasB8lhGK5NT1l1tZpDHsiZppkZTGGq6POWVU1tV6W5IvYN3JSd+hz12BVmrWq66KyxrIqqgnnjrm3ba+G/Ivcfuq5nVgBbrZBYRRB4V2jTsqzKzp04juX29lZEqhkL2oR7tHba/E6g63rpoHJeoK6KyqFZ31uq/kOUoi5te0XO+/vjpdpVJfPQKaInk4mItDOYDgAAAByK4CIAAAAAHMg0zZ0Pv05xmsK8oFfZEFjVAR4CQceXF/JIHsxpmnZw5bA0h5wrWe2+vr7ee5lov5cvX269VqZ/5j0I3rdaZ944WeUY1rbxsG3tSZM3vo3H40q2Ia1PVlX1T1XVzKDPamixyJSkiaww5Go/rir8t+ueqapKY7e3txLHsaiqKsPhsJJltkWb79GaWkfTwjDcCi7tG1TOCqyljStlZYVemwz3Xtr2ipzv98c0dVWgzrLrD1AOrQgbRVHuHxToun7wtT8ZW4pe0wEAAIBTQnARAAAAACrguu7O6cYGg0HlUyA2pWxVvKwpM0Wqf5jdpukIT/lBfZGATdXVFhOHPKjOCqp1u929l1mVNvXNok6hD0dRlDomlZmSLy/Yuk9lszAMcz9Xti/kte8U+1XThsNhblj10Gt1HMepfbKKaouJIuNvmWDOrgBNFVNcJ3ZVEQuCYK3SY1lxHEuv11seg12Vzc5NU/dolz5Obfbr4XC49zmj63rq94owDA+qIJ0VgnMcZ+9KbrZtS7/fl36/L6PRaK9lnNL2VunSvj+eq7zrsaIolVRyDoKgFX0WAAAAOAaCiwAAAABQkclksvPBv2VZez/UK6qOKXEfHh4KvzeO49ywxiU8zN50Ktu8KxhzrGn2fN8/KDCX9mBv14PhNjiFkGCiyj586Han9VPTNEsFRvLeuyuEuCmO450V48qO03kPq5PpA9uiSN9owxiYFyQoc41LkxbMMwyj0jFz17TNZaeozZuuVaTYlNNF5VWMTARBIL1er/T4EASBPHnyZBneMwzj4PG/Df21jKbu0U5hnArDUAaDgXS7Xel2uzIYDCqZdns8Hq8tR9f1g4PKWZ8/ZLlp5/G+FUmjKJJOpyOj0UiCIJAgCMS2bel2u3td19u+vcdyCd8fd/WHY9//HnP9m+f+pipCskkAl+rxAAAAOFcEFwEAAACgQq7r7qzsY9u2DAaDozwgqrIiR95UVGEYFlqX7/vy5MmT3G3dZxrWvCnH9n34xHTW23Rdz+wHxwotJvYNDsVxvLXvq6wUdohdfeLjjz8+6vKbXl6WIAj2Hg+TsMQqVVX3qrCW10cGg0Gh/ZGEpqIoyq1YWjaIcXNzk/m7XdNIBkFQ2dS7RRQ5lnUE7HfRdT0zvBLH8d4VZeM43ro+KopSqgJoUXnj8D5Bw7xtvru7K728PEXO0TAMpdPpiGVZO/tMEkjr9/vLc1VV1UoqXbXxet7Ge7S2j1NJJU7f9yWKIomiSHzfl36/L91ud+8AYxiGa+eOqqqVBDU1TUsdo8bj8V5jaLLdm/Y9R7Kui1EU7XUs2769x3RO3x/T7Grzse8Jiix/n3F+172CruuVfF9KvhMxTTQAAADO1gIAAAAAULnJZLJQFGUhIrk/w+FwMZ/PK1mn67o712cYRuHlDYfDnctzHGfrc/P5fOG67kJV1bXtzFqGqqqp657NZplt03W9VJuKWG3v5k9eW7JMJpPM5SmKslcbm5DVr6bTaeXr2jwG+6wjbb9PJpPK21qW53k7zydN0w5aR9v7cN62q6paeiyczWZb46yiKHtt62KxewxVFCWzL00mk4WmaVtj+65tdl13MZ1OC7U575pimmZmu6roW2UUuXZktbcJedeTfcaO1X6Q9JtjjJeLxftzoOqxJK2flbl3KMNxnJ19ZfOc0XV9YZrmYjgcLgzDWGialtrmsmPBrvO1bdp6j9bmcarIdbjs2DSdTtc+r+t65e3eHFP2Wc98Pk89NvveM29ud9rPvtfiNm5vXc7h+2OaIuP7vv2liLzrfPLjeV7ly63iGK2Oz226dwIAAACq1L7/1wUAAAAAzsRsNlsYhrHzQYmiKAvTNPd6YJL2ADprHa7rlm5/kQdNyQNFXddTH7Yl25XXRlVVF6Zpri0j6wHWrnDBPg++dz2ALbvvFovFwjTN3GUeK8hyDGnH6xg2+8g+YbbNB97HCtyUlfYgvqoHp4vFafThImNh0aDYbDbb6i+HhBYTRQIDiqIsdF1fhqY2fz8cDheLxe6xquwD7l3HwzCMhed5i9lstphMJsvrj6IolQUcdskKi6T9HDOkUFbetbpMeHFzOVX0yV3S+uC+48hikR6IO+b1qsh9Utmfffb7riBgcl63RVvv0do8ThUJaCXbW6TPb/aZY/aRtIBUmRBT2jhxSAiqyL48ZBxq2/bW6dS/P24qGlA/1v16kZBtct6XsSsIfeh+m06nW/2gbdchAAAAoCoEFwEAAADgyDYrcRV5wDwcDheO4yw8z1tMJpPFdDpdTCaThed5C8dxFsPhsNAyk4pe+9r1AHrXulcfbJcJJ+RVVimynDL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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def exponential_moving_average(data, alpha=0.1):\n", - " ema = [data[0]] # Start with the first value\n", - " for point in data[1:]:\n", - " ema.append(alpha * point + (1 - alpha) * ema[-1])\n", - " return np.array(ema)\n", - "\n", - "# Apply exponential moving average\n", - "smoothed_gain = exponential_moving_average(Gain_db, alpha=0.1)\n", - "\n", - "# Calculate P1dB (abs max gain - smoothed gain - 1 dB)\n", - "p1db = abs(np.max(smoothed_gain) - smoothed_gain - 1)\n", - "\n", - "# Find the index where P1dB occurs\n", - "p1db_index = np.argmin(p1db)\n", - "Pi_p1db = input_power[p1db_index] # Input power at P1dB\n", - "\n", - "# Plot the smoothed data\n", - "plt.figure(figsize=(5, 5))\n", - "plt.plot(input_power, smoothed_gain, label=f'Smoothed Gain (max = {max_gain_db:.2f} dB)')\n", - "plt.axvline(x=Pi_p1db, color='red', linestyle='--', label=f'P1dB = {Pi_p1db:.2f} dBm')\n", - "plt.axhline(y=max_gain_db, color='blue', linestyle='--', label=f'Max Gain = {max_gain_db:.2f} dB')\n", - "\n", - "# Plot the labels and the title\n", - "plt.xlabel(\"Input Power (dBm)\")\n", - "plt.ylabel(\"Gain (dB)\")\n", - "plt.title(f\"Gain vs Input Power at {50e9/1e9} GHz\")\n", - "\n", - "# Set axis limits and show the legend\n", - "plt.xlim(-30, 10)\n", - "plt.ylim(5, 20)\n", - "plt.legend(fontsize=6)\n", - "\n", - "# Show grid and plot\n", - "plt.grid()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "36775f4b-50b4-4129-a9f2-5f1d4d47098d", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/modules/module_2_50GHz_MPA/part_4_layout_EMsims/data_processing/python/post_processing.ipynb b/modules/module_2_50GHz_MPA/part_4_layout_EMsims/data_processing/python/post_processing.ipynb index 17106937..d896e3ec 100644 --- a/modules/module_2_50GHz_MPA/part_4_layout_EMsims/data_processing/python/post_processing.ipynb +++ b/modules/module_2_50GHz_MPA/part_4_layout_EMsims/data_processing/python/post_processing.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 1, "id": "00b555d3-f716-43e5-8c6e-a172d5402f82", "metadata": {}, "outputs": [], @@ -37,31 +37,6 @@ "# Harmonic Balance Simulation with EM simulated Core" ] }, - { - "cell_type": "code", - "execution_count": 8, - "id": "516d79b6-39fd-4227-9ae8-0846fa1b1dce", - "metadata": {}, - "outputs": [], - "source": [ - "# Read CSV data (change paths accordingly)\n", - "Iin_csv = pd.read_csv('../../core_1/post_layout_sim/schematic/csv/IPR2.csv', delimiter=';', comment='#')\n", - "Iout_csv = pd.read_csv('../../core_1/post_layout_sim/schematic/csv/IPR3.csv', delimiter=';', comment='#')\n", - "Vin_csv = pd.read_csv('../../core_1/post_layout_sim/schematic/csv/Vin.csv', delimiter=';', comment='#')\n", - "Vout_csv = pd.read_csv('../../core_1/post_layout_sim/schematic/csv/Vout.csv', delimiter=';', comment='#')\n", - "\n", - "Fref_of_interest = 50e9 # setting to 50GHz (in Hz)\n", - "\n", - "# Initialize an empty DataFrame with the correct number of rows based on Iin_csv\n", - "power_df = pd.DataFrame({\n", - " 'Freq': Iin_csv['FREQ'],\n", - " #'current_sweep': Iin_csv['Y'],\n", - " 'P_in': np.zeros(len(Iin_csv)), # Preallocate with zeros\n", - " 'P_out': np.zeros(len(Iin_csv)) # Preallocate with zeros\n", - "\n", - "})" - ] - }, { "cell_type": "markdown", "id": "042ed4ed-e2db-408f-9e6a-2be113fee6be", @@ -72,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 3, "id": "db670099-0eb7-4d36-a239-4bac1b3f21c2", "metadata": {}, "outputs": [], @@ -164,7 +139,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 4, "id": "e90d3829-8f49-4aee-904c-e7f51d878e74", "metadata": {}, "outputs": [ @@ -194,7 +169,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 5, "id": "298317a5-240c-4010-b0b6-7f5581db18f3", "metadata": {}, "outputs": [ @@ -246,12 +221,12 @@ "id": "eef391ab-014b-4623-8962-2b85dac50f49", "metadata": {}, "source": [ - "# Harmonic Balance Simulation with EM simulated T_connection" + "# Harmonic Balance Simulation with EM simulated T_connection and Core" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 6, "id": "b1c0d2a7-82ae-4713-be1f-be941dc23ba5", "metadata": {}, "outputs": [], @@ -274,7 +249,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 7, "id": "ea02aa0a-f209-45d3-b321-0188bfec0304", "metadata": {}, "outputs": [], @@ -358,7 +333,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 8, "id": "473d56a5-6e00-4a02-9697-f5cf8031c4be", "metadata": {}, "outputs": [ @@ -388,7 +363,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 9, "id": "4529d452-7f37-46c7-9e97-299c85bdd502", "metadata": {}, "outputs": [ @@ -434,14 +409,6 @@ "plt.grid()\n", "plt.show()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0d51c834-8fa4-4480-bc6f-20ac87f263cb", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/modules/module_2_50GHz_MPA/part_4_layout_EMsims/input_inductor_3/layout_gds/inductor_input.gds b/modules/module_2_50GHz_MPA/part_4_layout_EMsims/input_inductor_3/layout_gds/inductor_input.gds new file mode 100644 index 0000000000000000000000000000000000000000..36aad80ea2f96f0478e06d269f337139f7f79a73 GIT binary patch literal 1512 zcmbW1&ubGw6vw~WY$j1`T|)^Xy&0&*K-l<;QX*)q5{ymJ2t_DMtU08{MA{_cr8lMO zy;w!)NzdN=3q-_2&%O0h>_t2j)Sy21?d&A8>J~BZ_$Kc=pZ79vW)}j6F^kcN5#ND{ z1P)>tL;80l3{fhc2S%c?v*#Y2x%~Fk=ZOn%vg^-pR4^I~=TbtX)9FHax-vCeaf;Iy z%kEE@`vEH{y7j8F)UM9oPTRl%D+=`y#|`YmNJh*Qrb?xJe;vS1!gG#w+c{^kb#G}r zf3%U4P8=zh@tpZqqjRU}n@kBs*?r3G%1%sCwxdzD=b1=)6`Or1=jEe5)6^0FUl=&T zOxtNx@7ET`^JA6P-7B?rwUHb1*ogFR{^8rwcW0B~Y3Hw9vQId-YF(Iz05gs~CvAz~ zJk5l=yCDMwh+)GWY{rTb{d}(ih@93#RZ-qcT3pkw z;hncXf2}|JgNUti??GtZzucFE5S8+bd$0cfEE26R1E*4fy#(&UvlqZ*goyRa4$;f& z16BFSNPrKVWzQmdGU4vq0y=B%KHe!+dDd|L>S3V1Ma0@!Q+1@Oe0^&#p6KH@$@BWT z4Owq)L*-e+d9{vp_chV>%0RiU^uzg0pWAf%^1QZJl*&5N59gom0@)%FEAy%jtIB7K Kl6T)7riowTP|QmJ literal 0 HcmV?d00001 diff --git a/modules/module_2_50GHz_MPA/part_4_layout_EMsims/input_inductor_3/layout_gds/input_inductor.gds b/modules/module_2_50GHz_MPA/part_4_layout_EMsims/input_inductor_3/layout_gds/input_inductor.gds deleted file mode 100644 index 05642fd5269ef373af4f5f5bf66bd6e1ecb91714..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 474 zcmaLSyGjF56h`5-&rD8Yk&u7{g^(u@?7TFBmqwyQFpB7Vq)^c=U}I?$A!-wRgAl<+ z5Y*Blot;8DpTO;0++-@NZ`km2*5GmOfSS1cn1ETPs8Y{BeVN@X3xio>h=PWFtd-`cTKw|Ci{H!4