{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Calculate Rb spectrum and pulse velocity" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [], "source": [ "from rubidium.rubidium import Rubidium\n", "\n", "import numpy as np\n", "from matplotlib import pyplot as plt\n", "%matplotlib inline\n", "\n", "from scipy.constants import c" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [], "source": [ "rb = Rubidium(line=2)\n", "T = 273.15 + 20 # Temperature in Kelvin\n", "Lc = 0.075 # Length of cell in meters\n", "delta = np.linspace(-4, 6, 200) # detuning in GHz\n", "transdata = rb.Transmission(delta*1e9, T, Lc)\n", "\n", "ndata = rb.Totaln(delta*1e9, T)\n", "\n", "vg = rb.groupVelocity(delta,T)\n", "transit = Lc/vg\n", "timeshift = transit - Lc/c" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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WlKu62gI0mNlwMxuZpq1Z0NYy2KQ8CahMXsLDTfFII9zkIuGUS9qexEhgjpnN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\nZo7ZIOmGVtrsLKkx9xkl7SHpTklzJU2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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(delta, transdata)\n", "plt.title(\"Rubidium D2 Spectrum at T= \" + str(T) + \" K\")\n", "plt.xlabel(r\"Detuning $\\Delta$ (GHz)\")\n", "plt.ylabel(\"Transmission\")" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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ORj7/HA45BH78Y5u6IEq7725D2X/4IbfzBFWqAU/yQZg+3XplZToNRqNGtjqXj3p1cYgi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\nSf6776xn2MiRMGK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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(delta, ndata)\n", "plt.xlabel(r\"Detuning $\\Delta$ (GHz)\")\n", "plt.ylabel(\"Index n\")" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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i0hL4JnAY0BP4HJgJPKOq7xT7xKr6GXB0muNLE8+Hqk4BQtripzwlO7nTBYso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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(delta[:-1], timeshift*1e9)\n", "plt.plot([delta[0], delta[-2]], [0, 0], color='#888888', linestyle='--', linewidth=1)\n", "plt.xlabel(r\"Detuning $\\Delta$ (GHz)\")\n", "plt.ylabel(r\"T (ns)\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python [Root]", "language": "python", "name": "Python [Root]" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 1 }