|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": 1, |
| 6 | + "id": "c48badf8-e0a6-4d31-a3be-8391267f0c51", |
| 7 | + "metadata": {}, |
| 8 | + "outputs": [ |
| 9 | + { |
| 10 | + "data": { |
| 11 | + "application/vnd.jupyter.widget-view+json": { |
| 12 | + "model_id": "de4b4fa1f17446bbb1b4a5e4dcb1f408", |
| 13 | + "version_major": 2, |
| 14 | + "version_minor": 0 |
| 15 | + }, |
| 16 | + "text/plain": [ |
| 17 | + "interactive(children=(IntSlider(value=300, description='T', max=1000, min=100, step=50), Output()), _dom_class…" |
| 18 | + ] |
| 19 | + }, |
| 20 | + "metadata": {}, |
| 21 | + "output_type": "display_data" |
| 22 | + }, |
| 23 | + { |
| 24 | + "data": { |
| 25 | + "text/plain": [ |
| 26 | + "<function __main__.plot_MB(T=300)>" |
| 27 | + ] |
| 28 | + }, |
| 29 | + "execution_count": 1, |
| 30 | + "metadata": {}, |
| 31 | + "output_type": "execute_result" |
| 32 | + } |
| 33 | + ], |
| 34 | + "source": [ |
| 35 | + "import numpy as np\n", |
| 36 | + "import matplotlib.pyplot as plt\n", |
| 37 | + "from ipywidgets import interact\n", |
| 38 | + "\n", |
| 39 | + "# Boltzman constant, J.K-1, atomis mass unit (kg)\n", |
| 40 | + "kB, u = 1.381e-23, 1.661e-27\n", |
| 41 | + "\n", |
| 42 | + "# Gas particle masses, in kg\n", |
| 43 | + "m_He, m_Ar = 4 * u, 40 * u\n", |
| 44 | + "\n", |
| 45 | + "# Temperature in K\n", |
| 46 | + "T = 300\n", |
| 47 | + "\n", |
| 48 | + "# The value of the Maxwell-Boltzmann distribution\n", |
| 49 | + "def fMB(v, T, m): # mass in kg, at temperature in K, at the speed v (in m.s-1)\n", |
| 50 | + " fac = m /2 /kB/T\n", |
| 51 | + " return (fac / np.pi)**1/5 * 4 * np.pi * v**2 * np.exp(-fac * v **2)\n", |
| 52 | + "\n", |
| 53 | + "def plot_MB(T=300):\n", |
| 54 | + " v= np.linspace(0, 3000, 3000)\n", |
| 55 | + " fv_He = fMB(v, T, m_He)\n", |
| 56 | + " fv_Ar = fMB(v, T, m_Ar)\n", |
| 57 | + "\n", |
| 58 | + "# Plot He and Ar distribution\n", |
| 59 | + " plt.plot(figsize=(8,6))\n", |
| 60 | + " plt.plot(v, fv_He, color='orange', label=f'He, T{T}K')\n", |
| 61 | + " plt.plot(v, fv_Ar, color='blue', ls='--', label=f'Ar, T{T}K')\n", |
| 62 | + " \n", |
| 63 | + " plt.xlabel('Speed v /m.s-1', fontsize=14)\n", |
| 64 | + " plt.ylabel('Density f(v) /s.m-1', fontsize=14)\n", |
| 65 | + " plt.legend()\n", |
| 66 | + " plt.legend(framealpha=0.7, fontsize=14, loc='upper right', bbox_to_anchor=(0.98, 1))\n", |
| 67 | + " plt.grid(True, color='gray', zorder=0, linestyle='--')\n", |
| 68 | + " plt.show()\n", |
| 69 | + "\n", |
| 70 | + "interact(plot_MB, T=(100, 1000, 50))" |
| 71 | + ] |
| 72 | + }, |
| 73 | + { |
| 74 | + "cell_type": "code", |
| 75 | + "execution_count": null, |
| 76 | + "id": "893b6a24-775b-48ec-ac44-66d188be717f", |
| 77 | + "metadata": {}, |
| 78 | + "outputs": [], |
| 79 | + "source": [] |
| 80 | + } |
| 81 | + ], |
| 82 | + "metadata": { |
| 83 | + "kernelspec": { |
| 84 | + "display_name": "myenv", |
| 85 | + "language": "python", |
| 86 | + "name": "myenv" |
| 87 | + }, |
| 88 | + "language_info": { |
| 89 | + "codemirror_mode": { |
| 90 | + "name": "ipython", |
| 91 | + "version": 3 |
| 92 | + }, |
| 93 | + "file_extension": ".py", |
| 94 | + "mimetype": "text/x-python", |
| 95 | + "name": "python", |
| 96 | + "nbconvert_exporter": "python", |
| 97 | + "pygments_lexer": "ipython3", |
| 98 | + "version": "3.13.9" |
| 99 | + } |
| 100 | + }, |
| 101 | + "nbformat": 4, |
| 102 | + "nbformat_minor": 5 |
| 103 | +} |
0 commit comments