mirror of
https://github.com/galera951/experiment-automation.git
synced 2024-11-09 23:55:51 +03:00
505 lines
97 KiB
Plaintext
505 lines
97 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": 70,
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"id": "80b69570-3c97-4533-a6e0-f5e254110784",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"# %load ../processing_tools.py\n",
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"import numpy as np\n",
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"from scipy.optimize import curve_fit\n",
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"import pandas as pd\n",
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"\n",
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"import matplotlib.pyplot as plt\n",
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"import matplotlib\n",
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"import scienceplots\n",
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"\n",
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"plt.style.use(['science', 'russian-font'])\n",
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"\n",
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"matplotlib.rcParams.update({\n",
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" 'figure.figsize': [6, 4],\n",
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" 'savefig.facecolor': 'white',\n",
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" 'figure.dpi': 150.0,\n",
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" 'font.size': 12.0,\n",
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"})\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "287d428d-047c-4f87-a3d2-dd87b14ed429",
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"metadata": {},
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"source": [
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"При увеличении частоты УЗ волн расстояние между полосами увеличивается"
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]
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},
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{
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"cell_type": "markdown",
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"id": "212f0889-b035-48c6-a902-5e3696c27e61",
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"metadata": {
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"tags": []
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},
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"source": [
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"**Расстояние между наиболее чёткими дифракционными картинами**"
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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": 27,
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"id": "8c92872b-c1dc-4c49-abdb-5a0542e1312c",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"1480"
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]
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},
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"execution_count": 27,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"Lambda = 50+38-14\n",
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"Lambda = Lambda * 10 * 2 # в микронах удвоенное +- 1 микрон\n",
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"Lambda"
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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": 28,
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"id": "2c9f8b3b-7b1f-4faa-9023-3df478639296",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"Lambda = Lambda * 1e-6 # длина УЗ волны в м\n",
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"nu = 1.0597e6 # частота в Гц"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b88d6dd1-d1bf-4c97-a4df-4871c71f67ce",
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"metadata": {},
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"source": [
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"**Скорость звука в воде по формуле (5)**"
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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": 29,
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"id": "c35de00f-1ab3-4579-bacc-e89f0b418170",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"1568.356"
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]
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},
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"execution_count": 29,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"v = Lambda * nu\n",
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"v"
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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": 78,
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"id": "b3c5aa79-04a1-45fa-bb19-5c80c1572092",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"nu1_array = [1.059, 2.898, 1.210, 2.951, 0.902, 0.294, 0.439, 0.669]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "85ef9674-6620-4502-bf4b-0bb38992e729",
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"metadata": {},
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"source": [
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"**Положения максимумов на частоте 1.059 МГц** в делениях винта (цена -- 4 мкм, погр 4 мкм)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "fe1d15a4-ceb7-47a0-b5d0-b7656bd0ec70",
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"metadata": {},
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"source": [
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"$\n",
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"x_0 = 2\\\\\n",
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"x_1 = 36\\\\\n",
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"x_2 = 72\\\\\n",
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"x_3 = 108\\\\\n",
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"x_{-1} = -34\\\\\n",
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"x_{-2} = -69\\\\\n",
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"x_{-3} = -106\n",
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"$"
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]
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},
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{
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"cell_type": "markdown",
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"id": "4f527e6e-6357-4761-ab15-8c9f3a34e9fe",
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"metadata": {},
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"source": [
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"**Положения максимумов на частоте 2.898 МГц** в делениях винта (цена -- 4 мкм, погр 4 мкм)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2c26c050-f0a9-418c-900c-08529a83c9e0",
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"metadata": {},
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"source": [
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"$\n",
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"x_0 = 1\\\\\n",
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"x_1 = 101\\\\\n",
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"x_2 = 199\\\\\n",
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"x_{-1} = -96\\\\\n",
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"x_{-2} = -194\n",
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"$"
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]
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},
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{
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"cell_type": "markdown",
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"id": "997e6466-fb25-4c58-a71a-c35f4c793e06",
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"metadata": {},
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"source": [
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"**Положения максимумов на частоте 1.210 МГц** в делениях винта (цена -- 4 мкм, погр 4 мкм)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "4acf8536-c6fa-438e-b4ef-fae6556cfef6",
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"metadata": {},
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"source": [
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"$\n",
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"x_0 = 0\\\\\n",
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"x_1 = 42\\\\\n",
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"x_2 = 81\\\\\n",
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"x_{-1} = -40\\\\\n",
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"x_{-2} = -81\\\\\n",
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"$"
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]
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},
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{
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"cell_type": "markdown",
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"id": "7e92b56b-97c6-40bb-a3ac-b72dd13998b7",
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"metadata": {},
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"source": [
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"**Положения максимумов на частоте 2.951 МГц** в делениях винта (цена -- 4 мкм, погр 4 мкм)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2fa4ffe2-ee6b-4c84-a51b-fdc905077a24",
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"metadata": {},
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"source": [
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"$\n",
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"x_0 = 0\\\\\n",
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"x_1 = 99\\\\\n",
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"x_{-1} = -98\\\\\n",
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"$"
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]
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},
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{
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"cell_type": "markdown",
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"id": "d3d4954a-4c31-44d8-86ff-e4b962d8e86f",
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"metadata": {},
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"source": [
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"**Положения максимумов на частоте 0.902 МГц** в делениях винта (цена -- 4 мкм, погр 4 мкм)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ea4264d1-7513-4c15-a010-bc728f64657c",
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"metadata": {},
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"source": [
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"$\n",
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"x_0 = 1\\\\\n",
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"x_1 = 30\\\\\n",
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"x_2 = 61\\\\\n",
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"x_{-1} = -29\\\\\n",
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"x_{-2} = -58\\\\\n",
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"$"
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]
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},
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{
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"cell_type": "markdown",
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"id": "26c016eb-8bbb-4b46-9d09-7ae1ad05fa32",
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"metadata": {},
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"source": [
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"**Положения максимумов на частоте 0.294 МГц** в делениях винта (цена -- 4 мкм, погр 4 мкм)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "d36ca07f-0c0e-4133-809d-def10c8f36c8",
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"metadata": {},
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"source": [
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"$\n",
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"x_0 = 0\\\\\n",
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"x_1 = 9\\\\\n",
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"x_{-1} = -10\\\\\n",
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"$"
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]
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},
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{
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"cell_type": "markdown",
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"id": "4c11169f-71dc-4bf0-8ff7-7a55a867f304",
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"metadata": {},
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"source": [
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"**Положения максимумов на частоте 0.439 МГц** в делениях винта (цена -- 4 мкм, погр 4 мкм)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "148198ad-81a0-4f03-bc3c-be40e844c496",
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"metadata": {},
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"source": [
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"$\n",
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"x_0 = 0\\\\\n",
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"x_1 = 16\\\\\n",
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"x_2 = 30\\\\\n",
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"x_{-1} = -14\\\\\n",
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"x_{-2} = -29\n",
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"$"
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]
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},
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{
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"cell_type": "markdown",
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"id": "c7011dfa-0db8-4cff-bbb8-cc4e42836911",
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"metadata": {},
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|||
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"source": [
|
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"**Положения максимумов на частоте 0.669 МГц** в делениях винта (цена -- 4 мкм, погр 4 мкм)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1fb67b5f-e282-4690-a63e-af9f04c4798f",
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"metadata": {},
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"source": [
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"$\n",
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"x_0 = 0\\\\\n",
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"x_1 = 23\\\\\n",
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"x_2 = 46\\\\\n",
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"x_{-1} = -24\\\\\n",
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"x_{-2} = -47\n",
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"$"
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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": 153,
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"id": "eae1dcdf-7f12-4cc0-b47c-950502dbd13b",
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"metadata": {},
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"outputs": [],
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"source": [
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"x_array = np.array([\n",
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" (1.059, 3, [-106, -69, -34, 2, 36, 72, 108]),\n",
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" (2.898, 2, [-194, -96, 1, 101, 199]),\n",
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" (1.210, 2, [-81, -40, 0, 42, 81]),\n",
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" (2.951, 1, [-98, 0, 99]),\n",
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" (0.902, 2, [-58, -29, 1, 30, 61]),\n",
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" (0.294, 1, [-10, 0, 9]),\n",
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" (0.439, 2, [-29, -14, 0, 16, 30]),\n",
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" (0.669, 2, [-47, -24, 0, 23, 46])\n",
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"],\n",
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"dtype=[('frequency', 'f4'), ('count', 'i4'), ('data', 'O')])"
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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": 156,
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"id": "41a7b293-8c70-4827-ba1c-434f514099ef",
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"metadata": {},
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"outputs": [],
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"source": [
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"x_array.sort(0)"
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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": 195,
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"id": "e4bb6e63-0945-4fb8-86e2-a122a27342b5",
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"metadata": {
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"tags": []
|
|||
|
|
},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 900x600 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"for x in x_array:\n",
|
|||
|
|
" count = x['count']\n",
|
|||
|
|
" m = np.linspace(-count, count, count * 2 + 1, dtype=np.int32)\n",
|
|||
|
|
" y = 4 * np.array(x['data'])\n",
|
|||
|
|
" y = y - y[count]\n",
|
|||
|
|
" \n",
|
|||
|
|
" plt.errorbar(m, y, yerr=4, label=f'${x[\"frequency\"]:.2f}$ MHz', marker='.')\n",
|
|||
|
|
" \n",
|
|||
|
|
"plt.xlabel('Номер максимума', fontsize='small')\n",
|
|||
|
|
"plt.ylabel('Расстояние до центрального максимума, мкм', fontsize='small')\n",
|
|||
|
|
"plt.legend(frameon=True, fontsize='x-small')\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "4a240cce-bfaf-4f8b-becf-17e1f7724fba",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Полоса пропускания красного фильтра 6400+-200 ангстрем"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "93ae12dd-e34d-4c95-8d84-01143f295a3e",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"f = 110mm"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "8f2cf984-3d42-47ee-8a62-192a82cf2681",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"**Цена деления окулярной шкалы микроскопа, мм**"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 35,
|
|||
|
|
"id": "12c3dde5-0b52-40dc-a429-9a49c74b1f69",
|
|||
|
|
"metadata": {
|
|||
|
|
"tags": []
|
|||
|
|
},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"k = 2 / 43"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 67,
|
|||
|
|
"id": "76535139-d7f7-4c73-ade2-e7863670a863",
|
|||
|
|
"metadata": {
|
|||
|
|
"tags": []
|
|||
|
|
},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"Lambda_temn = 2 * 92 / 7 # длина волны по методу темн поля в делениях оклулярной шкалы\n",
|
|||
|
|
"Lambda_temn = Lambda_temn * k * 1e-3\n",
|
|||
|
|
"nu_temn = 1.243e6 # частота МГц"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 68,
|
|||
|
|
"id": "ec9b502b-0f79-4140-a9ba-93b127b826c5",
|
|||
|
|
"metadata": {
|
|||
|
|
"tags": []
|
|||
|
|
},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"1519.6810631229237"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 68,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"v = Lambda_temn * nu_temn\n",
|
|||
|
|
"v"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "1f17c9bd-be39-4db9-9405-53e52926a870",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Для разных частот"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "raw",
|
|||
|
|
"id": "f873a8cd-6e7f-4529-aa41-721b9c045198",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"lambda[del]/2,nu[MHz]\n",
|
|||
|
|
"27.33,0.599\n",
|
|||
|
|
"22.00,0.708\n",
|
|||
|
|
"17.60,0.901\n",
|
|||
|
|
"15.33,1.023\n",
|
|||
|
|
"13.14,1.243\n",
|
|||
|
|
"5.53,2.889\n",
|
|||
|
|
"5.33,2.980"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "5eed1189-92d8-4317-9b40-e0a9ea938af2",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"При перемещении проволоки стало ничего не видно"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "17885155-3769-426f-8be1-62ad3275d077",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Второе явление обяснить"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"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": "3.10.6"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"nbformat": 4,
|
|||
|
|
"nbformat_minor": 5
|
|||
|
|
}
|