553 lines
953 KiB
Plaintext
553 lines
953 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "6c616b70",
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"metadata": {},
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"outputs": [],
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"source": [
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"from TimeSeriesAnalyzer import *\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"import os\n",
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"from scipy import signal"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "96bd598e",
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"metadata": {},
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"outputs": [],
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"source": [
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"\"\"\"Synthetic data to validate analysis\"\"\"\n",
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"# # Generate time series data with values against time in seconds\n",
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"# num_seconds = 10 # Total number of seconds\n",
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"# time = np.arange(0, num_seconds, 1/30) # Create timestamp index\n",
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"# voltage = np.sin(2*np.pi*4*time) + np.sin(2*np.pi*7*time) + np.random.randn(len(time))*0.2 # Generate 4 Hz and 7 Hz sine wave\n",
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"# data = np.column_stack((time, voltage))\n",
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"\n",
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"\"\"\"Real data\"\"\" \n",
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"dir = str(globals()['_dh'][0]).replace('\\\\','/') + \"/Time Series Data/\"\n",
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"filename_bkg = \"Arm 1/PID_Active_SP_7V_Mod_1.0_20khz\"\n",
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"filepath_bkg = dir + filename_bkg + \".csv\"\n",
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"\n",
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"background_data = extract_data(filepath_bkg)\n",
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"\n",
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"dir = str(globals()['_dh'][0]).replace('\\\\','/') + \"/Time Series Data/\"\n",
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"filename_data = \"Arm 1/PID_Inactive_SP_7V_Mod_1.0_20khz\"\n",
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"filepath_data = dir + filename_data + \".csv\"\n",
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"\n",
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"data = extract_data(filepath_data)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "354ff9ed",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Calculating power spectrum...\n"
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]
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}
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],
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"source": [
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"# Extract the first and second columns from data_array\n",
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"time_bkg = background_data[:, 0]\n",
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"voltage_bkg = background_data[:, 1]\n",
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" \n",
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"processed_data_bkg, Sxx_bkg = compute_psd(background_data, new_sampling_rate = 1000000)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "bad46fa8",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Calculating power spectrum...\n"
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]
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}
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],
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"source": [
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"# Extract the first and second columns from data_array\n",
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"time = data[:, 0]\n",
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"voltages = data[:, 1]\n",
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"\n",
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"processed_data, Sxx = compute_psd(data, new_sampling_rate = 1000000)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "e11977b3",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 1200x800 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"plot_analysis(processed_data_bkg, processed_data, Sxx_bkg, Sxx, filename_bkg, filename_data, peak_find_threshold=-60)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2522948d",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "f91c772c",
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"metadata": {},
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"outputs": [],
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"source": [
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"\"\"\"Synthetic data to validate analysis\"\"\"\n",
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"# # Generate time series data with values against time in seconds\n",
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"# num_seconds = 10 # Total number of seconds\n",
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"# time = np.arange(0, num_seconds, 1/30) # Create timestamp index\n",
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"# voltage = np.sin(2*np.pi*4*time) + np.sin(2*np.pi*7*time) + np.random.randn(len(time))*0.2 # Generate 4 Hz and 7 Hz sine wave\n",
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"# data = np.column_stack((time, voltage))\n",
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"\n",
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"\"\"\"Real data\"\"\" \n",
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"dir = str(globals()['_dh'][0]).replace('\\\\','/') + \"/Time Series Data/\"\n",
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"filename_bkg = \"Arm 1/PID_Active_SP_7V_Mod_1.0_100khz\"\n",
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"filepath_bkg = dir + filename_bkg + \".csv\"\n",
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"\n",
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"background_data = extract_data(filepath_bkg)\n",
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"\n",
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"dir = str(globals()['_dh'][0]).replace('\\\\','/') + \"/Time Series Data/\"\n",
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"filename_data = \"Arm 1/PID_Inactive_SP_7V_Mod_1.0_100khz\"\n",
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"filepath_data = dir + filename_data + \".csv\"\n",
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"\n",
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"data = extract_data(filepath_data)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "f8ad9496",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Calculating power spectrum...\n"
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]
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}
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],
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"source": [
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"# Extract the first and second columns from data_array\n",
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"time_bkg = background_data[:, 0]\n",
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"voltage_bkg = background_data[:, 1]\n",
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" \n",
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"processed_data_bkg, Sxx_bkg = compute_psd(background_data, new_sampling_rate = 1000000)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "1a9afee9",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Calculating power spectrum...\n"
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]
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}
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],
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"source": [
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"# Extract the first and second columns from data_array\n",
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"time = data[:, 0]\n",
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"voltages = data[:, 1]\n",
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"\n",
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"processed_data, Sxx = compute_psd(data, new_sampling_rate = 1000000)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "3bbcd482",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABKUAAAMWCAYAAAAgRDUeAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd3xUxfrGn930EEIChBBCF0SEi1QFG6ACKgrYUX+KesVyRcV2vSpXQUVFQLyi2Bs2LCgqFhARBQRF6YoISCe99zq/P9asRLLJzO7Zs3POeb6fTz4he9733XfnPA/BcWaOSwghQAghhBBCCCGEEEKIibhD3QAhhBBCCCGEEEIIcR6clCKEEEIIIYQQQgghpsNJKUIIIYQQQgghhBBiOpyUIoQQQgghhBBCCCGmw0kpQgghhBBCCCGEEGI6nJQihBBCCCGEEEIIIabDSSlCCCGEEEIIIYQQYjqclCKEEEIIIYQQQgghphMe6gasQG1tLQ4dOoTmzZvD5XKFuh1CCCGEEEIIIYQQbRFCoKioCO3atYPb7Xs9FCelJDh06BA6dOgQ6jYIIYQQQgghhBBCLMP+/fvRvn17n9c5KSVB8+bNAXgGMz4+vsGYY445BmlpaUhJScFvv/1mZnuEaAE9QJwM9U+cDj1AnAz1T5wM9U98UVhYiA4dOnjnU3wiSJMUFBQIAGLHjh0+Y1JSUgQAkZKSYmJn5pOeni4ef/xxkZ6ebus+jKwfSC1/clVyZGNl4ugB+/RA/avHUf/26oMeUI9zggeof3NrUf/6QQ+YW8sqHqD+7dWHkfXr5lEKCgoajeNB5wrExsb6vFZ31pTdz5xq1qwZBg8ejGbNmtm6DyPrB1LLn1yVHNlYmTh6wD49UP/qcdS/vfqgB9TjnOAB6t/cWtS/ftAD5tayigeof3v1EYrP6RJCCNPezaIUFhaiRYsWKCgo8Ll9r3379jh48CBSU1Nx4MABkzskJPTQA8TJUP/E6dADxMlQ/8TJUP/EFzLzKADAlVIKVFZWhrqFkFNZWYl9+/aFfCyC3YeR9QOp5U+uSo5srC73XQd0GAvq35gc6l8dXcaCHjAmhx5QQ5dxoP6NyaH+1dFlLOgBY3LoATV0GQcr6V8WTkopkJub6/NabW1tve92JScnB6+++ipycnJs3YeR9QOp5U+uSo5srEwcPWCfHqh/9Tjq31590APqcU7wAPVvbi3qXz/oAXNrWcUD1L+9+gjF5+T2PQnqlp3l5OSgZcuWDcY4ZdlidXU18vPzkZCQgPDw0D28Mdh9GFk/kFr+5KrkyMbKxNED9umB+lePo/7t1Qc9oB7nBA9Q/+bWov71gx4wt5ZVPED926sPI+vLbt/jpJQEPFOKkKahB4iTof6J06EHiJOh/omTof6JL3imVBAoLCz0ea1ubs/uc3yFhYVYsmRJo2Nhhz6MrB9ILX9yVXJkY2Xi6AH79ED9q8dR//bqgx5Qj3OCB6h/c2tR//pBD5hbyyoeoP7t1UcoPicnpRRo7LAvp5ixoqICu3btQkVFha37MLJ+ILX8yVXJkY2ViaMH7NMD9a8eR/3bqw96QD3OCR6g/s2tRf3rBz1gbi2reID6t1cfofic3L4nAbfvEdI09ABxMtQ/cTr0AHEy1D9xMtQ/8QW37xFCCCGEEEIIIYQQbeGklAJZWVk+rznlUZiZmZl48sknkZmZaes+jKwfSC1/clVyZGNl4ugB+/RA/avHUf/26oMeUI9zggeof3NrUf/6QQ+YW8sqHqD+7dVHKD4nJ6UUiI6O9nnN5XLV+25XYmJi0KdPH8TExNi6DyPrB1LLn1yVHNlYmTh6wD49UP/qcdS/vfqgB9TjnOAB6t/cWtS/ftAD5tayigeof3v1EYrPyTOlJOCZUoQ0DT1AnAz1T5wOPUCcDPVPnAz1T3zBM6WCQFVVVahbCDlVVVVIS0sL+VgEuw8j6wdSy59clRzZWF3uuw7oMBbUvzE51L86uowFPWBMDj2ghi7jQP0bk0P9q6PLWNADxuTQA2roMg5W0r8snJRSICcnx+c1p+ylzc7OxgsvvIDs7Gxb92Fk/UBq+ZOrkiMbKxNHD9inB+pfPY76t1cf9IB6nBM8QP2bW4v61w96wNxaVvEA9W+vPkLxObl9T4K6ZWfZ2dlo1apVgzFOWbZYVVWF7OxstG7dGhEREbbtw8j6gdTyJ1clRzZWJo4esE8P1L96HPVvrz7oAfU4J3iA+je3FvWvH/SAubWs4gHq3159GFlfdvseJ6Uk4JlShDQNPUCcDPVPnA49QJwM9U+cDPVPfMEzpYJAUVGRz2t1c3t2n+MrKirC8uXLGx0LO/RhZP1AavmTq5IjGysTRw/YpwfqXz2O+rdXH/SAepwTPED9m1uL+tcPesDcWlbxAPVvrz5C8Tk5KaVAeXm5z2tOMWNZWRk2b96MsrIyW/dhZP1AavmTq5IjGysTRw/YpwfqXz2O+rdXH/SAepwTPED9m1uL+tcPesDcWlbxAPVvrz5C8Tm5fU8Cbt8jpGnoAeJkqH/idOgB4mSof+JkqH/iC27fI4QQQgghhBBCCCHawkkpBfgoWCArKwvz5s1DVlaWrfswsn4gtfzJVcmRjZWJowfs0wP1rx5H/durD3pAPc4JHqD+za1F/esHPWBuLat4gPq3Vx+h+JyclFIgMjLS5zWXy1Xvu12JiorCUUcdhaioKFv3YWT9QGr5k6uSIxsrE0cP2KcH6l89jvq3Vx/0gHqcEzxA/Ztbi/rXD3rA3FpW8QD1b68+QvE5eaaUBDxTipCmoQeIk6H+idOhB4iTof6Jk6H+iS94plQQqK6uDnULIae6uhrZ2dkhH4tg92Fk/UBq+ZOrkiMbq8t91wEdxoL6NyaH+ldHl7GgB4zJoQfU0GUcqH9jcqh/dXQZC3rAmBx6QA1dxsFK+peFk1IK8Ewpzx7TZ555Rou9tMHsw8j6gdTyJ1clRzZWJo4esE8P1L96HPVvrz7oAfU4J3iA+je3FvWvH/SAubWs4gHq3159hOJzcvueBHXLzrKystC6desGY5yybLGyshLp6elo27Zto2dsWb0PI+sHUsufXJUc2ViZOHrAPj1Q/+px1L+9+qAH1OOc4AHq39xa1L9+0APm1rKKB6h/e/VhZH3Z7XuclJKAZ0oR0jT0AHEy1D9xOvQAcTLUP3Ey1D/xBc+UCgLFxcU+r9XN7dl9jq+4uBgrV65sdCzs0IeR9QOp5U+uSo5srEwcPWCfHqh/9Tjq31590APqcU7wAPVvbi3qXz/oAXNrWcUD1L+9+gjF5+SklAKlpaU+rznFjCUlJVi7di1KSkps3YeR9QOp5U+uSo5srEwcPWCfHqh/9Tjq31590APqcU7wAPVvbi3qXz/oAXNrWcUD1L+9+gjF5+T2PQm4fY+QpqEHiJOh/onToQeIk6H+iZOh/okvuH2PEEIIIYQQQgghhGgLJ6UUyMnJ8XnNKY/CzM7Oxosvvojs7Gxb92Fk/UBq+ZOrkiMbKxNHD9inB+pfPY76t1cf9IB6nBM8QP2bW4v61w96wNxaVvEA9W+vPkLxOTkppUB4eLjPay6Xq953uxIREYG2bdsiIiLC1n0YWT+QWv7kquTIxsrE0QP26YH6V4+j/u3VBz2gHucED1D/5tai/vWDHjC3llU8QP3bq49QfE6eKSUBz5QipGnoAeJkqH/idOgB4mSof+JkqH/iC54pFQRqampC3ULIqampQWFhYcjHIth9GFk/kFr+5KrkyMbqct91QIexoP6NyaH+1dFlLOgBY3LoATV0GQfq35gc6l8dXcaCHjAmhx5QQ5dxsJL+ZeGklAJZWVk+rzllL21mZibmzJmDzMxMW/dhZP1AavmTq5IjGysTRw/YpwfqXz2O+rdXH/SAepwTPED9m1uL+tcPq3ugqKgIkydPRqdOnRATE4MTTzwR69atqxeTkZGByy67DKmpqYiLi8OZZ56JHTt21IvZtWsXzjvvPCQlJSE+Ph4XX3wxMjIy6sWsX78eI0aMQMuWLdG2bVtMmDABxcXF9WK+/vprnHjiiWjevDlSUlJw9913o7q6utH
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 1200x800 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"plot_analysis(processed_data_bkg, processed_data, Sxx_bkg, Sxx, filename_bkg, filename_data, peak_find_threshold=-60)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "d58a4d17",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "960c77bc",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 14,
|
||
|
|
"id": "27ef8df7",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"\"\"\"Synthetic data to validate analysis\"\"\"\n",
|
||
|
|
"# # Generate time series data with values against time in seconds\n",
|
||
|
|
"# num_seconds = 10 # Total number of seconds\n",
|
||
|
|
"# time = np.arange(0, num_seconds, 1/30) # Create timestamp index\n",
|
||
|
|
"# voltage = np.sin(2*np.pi*4*time) + np.sin(2*np.pi*7*time) + np.random.randn(len(time))*0.2 # Generate 4 Hz and 7 Hz sine wave\n",
|
||
|
|
"# data = np.column_stack((time, voltage))\n",
|
||
|
|
"\n",
|
||
|
|
"\"\"\"Real data\"\"\" \n",
|
||
|
|
"dir = str(globals()['_dh'][0]).replace('\\\\','/') + \"/Time Series Data/\"\n",
|
||
|
|
"filename_bkg = \"Arm 1/PID_Active_SP_7V_Mod_0.5\"\n",
|
||
|
|
"filepath_bkg = dir + filename_bkg + \".csv\"\n",
|
||
|
|
"\n",
|
||
|
|
"background_data = extract_data(filepath_bkg)\n",
|
||
|
|
"\n",
|
||
|
|
"dir = str(globals()['_dh'][0]).replace('\\\\','/') + \"/Time Series Data/\"\n",
|
||
|
|
"filename_data = \"Arm 1/PID_Inactive_SP_7V_Mod_0.5\"\n",
|
||
|
|
"filepath_data = dir + filename_data + \".csv\"\n",
|
||
|
|
"\n",
|
||
|
|
"data = extract_data(filepath_data)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 15,
|
||
|
|
"id": "716046fb",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"Calculating power spectrum...\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"# Extract the first and second columns from data_array\n",
|
||
|
|
"time_bkg = background_data[:, 0]\n",
|
||
|
|
"voltage_bkg = background_data[:, 1]\n",
|
||
|
|
" \n",
|
||
|
|
"processed_data_bkg, Sxx_bkg = compute_psd(background_data, new_sampling_rate = 1000000)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 16,
|
||
|
|
"id": "dec099f0",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"Calculating power spectrum...\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"# Extract the first and second columns from data_array\n",
|
||
|
|
"time = data[:, 0]\n",
|
||
|
|
"voltages = data[:, 1]\n",
|
||
|
|
"\n",
|
||
|
|
"processed_data, Sxx = compute_psd(data, new_sampling_rate = 1000000)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 17,
|
||
|
|
"id": "c6317732",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 1200x800 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"plot_analysis(processed_data_bkg, processed_data, Sxx_bkg, Sxx, filename_bkg, filename_data, peak_find_threshold=-60)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "3c4dc198",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 18,
|
||
|
|
"id": "05fa8d30",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"\"\"\"Synthetic data to validate analysis\"\"\"\n",
|
||
|
|
"# # Generate time series data with values against time in seconds\n",
|
||
|
|
"# num_seconds = 10 # Total number of seconds\n",
|
||
|
|
"# time = np.arange(0, num_seconds, 1/30) # Create timestamp index\n",
|
||
|
|
"# voltage = np.sin(2*np.pi*4*time) + np.sin(2*np.pi*7*time) + np.random.randn(len(time))*0.2 # Generate 4 Hz and 7 Hz sine wave\n",
|
||
|
|
"# data = np.column_stack((time, voltage))\n",
|
||
|
|
"\n",
|
||
|
|
"\"\"\"Real data\"\"\" \n",
|
||
|
|
"dir = str(globals()['_dh'][0]).replace('\\\\','/') + \"/Time Series Data/\"\n",
|
||
|
|
"filename_bkg = \"Arm 1/PID_Active_SP_7V_Mod_0\"\n",
|
||
|
|
"filepath_bkg = dir + filename_bkg + \".csv\"\n",
|
||
|
|
"\n",
|
||
|
|
"background_data = extract_data(filepath_bkg)\n",
|
||
|
|
"\n",
|
||
|
|
"dir = str(globals()['_dh'][0]).replace('\\\\','/') + \"/Time Series Data/\"\n",
|
||
|
|
"filename_data = \"Arm 1/PID_Inactive_SP_7V_Mod_0\"\n",
|
||
|
|
"filepath_data = dir + filename_data + \".csv\"\n",
|
||
|
|
"\n",
|
||
|
|
"data = extract_data(filepath_data)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 19,
|
||
|
|
"id": "1f4a1b8b",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"Calculating power spectrum...\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"# Extract the first and second columns from data_array\n",
|
||
|
|
"time_bkg = background_data[:, 0]\n",
|
||
|
|
"voltage_bkg = background_data[:, 1]\n",
|
||
|
|
" \n",
|
||
|
|
"processed_data_bkg, Sxx_bkg = compute_psd(background_data, new_sampling_rate = 1000000)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 20,
|
||
|
|
"id": "a00aa553",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"Calculating power spectrum...\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"# Extract the first and second columns from data_array\n",
|
||
|
|
"time = data[:, 0]\n",
|
||
|
|
"voltages = data[:, 1]\n",
|
||
|
|
"\n",
|
||
|
|
"processed_data, Sxx = compute_psd(data, new_sampling_rate = 1000000)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 21,
|
||
|
|
"id": "ebb9c09a",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 1200x800 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"plot_analysis(processed_data_bkg, processed_data, Sxx_bkg, Sxx, filename_bkg, filename_data, peak_find_threshold=-60)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "699f9f52",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 23,
|
||
|
|
"id": "67f9cd80",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"\"\"\"Synthetic data to validate analysis\"\"\"\n",
|
||
|
|
"# # Generate time series data with values against time in seconds\n",
|
||
|
|
"# num_seconds = 10 # Total number of seconds\n",
|
||
|
|
"# time = np.arange(0, num_seconds, 1/30) # Create timestamp index\n",
|
||
|
|
"# voltage = np.sin(2*np.pi*4*time) + np.sin(2*np.pi*7*time) + np.random.randn(len(time))*0.2 # Generate 4 Hz and 7 Hz sine wave\n",
|
||
|
|
"# data = np.column_stack((time, voltage))\n",
|
||
|
|
"\n",
|
||
|
|
"\"\"\"Real data\"\"\" \n",
|
||
|
|
"dir = str(globals()['_dh'][0]).replace('\\\\','/') + \"/Time Series Data/\"\n",
|
||
|
|
"filename_bkg = \"Arm 2/PID_Active_SP_9V\"\n",
|
||
|
|
"filepath_bkg = dir + filename_bkg + \".csv\"\n",
|
||
|
|
"\n",
|
||
|
|
"background_data = extract_data(filepath_bkg)\n",
|
||
|
|
"\n",
|
||
|
|
"dir = str(globals()['_dh'][0]).replace('\\\\','/') + \"/Time Series Data/\"\n",
|
||
|
|
"filename_data = \"Arm 2/PID_Inactive_SP_9V\"\n",
|
||
|
|
"filepath_data = dir + filename_data + \".csv\"\n",
|
||
|
|
"\n",
|
||
|
|
"data = extract_data(filepath_data)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 24,
|
||
|
|
"id": "be833e35",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"Calculating power spectrum...\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"# Extract the first and second columns from data_array\n",
|
||
|
|
"time_bkg = background_data[:, 0]\n",
|
||
|
|
"voltage_bkg = background_data[:, 1]\n",
|
||
|
|
" \n",
|
||
|
|
"processed_data_bkg, Sxx_bkg = compute_psd(background_data, new_sampling_rate = 1000000)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 25,
|
||
|
|
"id": "a37ab5b3",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"Calculating power spectrum...\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"# Extract the first and second columns from data_array\n",
|
||
|
|
"time = data[:, 0]\n",
|
||
|
|
"voltages = data[:, 1]\n",
|
||
|
|
"\n",
|
||
|
|
"processed_data, Sxx = compute_psd(data, new_sampling_rate = 1000000)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 26,
|
||
|
|
"id": "e5ca8ba3",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 1200x800 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"plot_analysis(processed_data_bkg, processed_data, Sxx_bkg, Sxx, filename_bkg, filename_data, peak_find_threshold=-60)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "3ed4e40e",
|
||
|
|
"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": "3.9.12"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 5
|
||
|
|
}
|