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@mkatsura
Last active December 20, 2015 01:49
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{
"metadata": {
"name": "reflect_and_phase"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# \u5149\u306e\u53cd\u5c04\u7387\u3068\u4f4d\u76f8\u5909\u5316 #\n",
"\u6842\u8aa0\n",
"\n",
"[INDEX](https://sites.google.com/site/makotokatsura4ipythonnotebook/ipythonnb4jpnexp)\n",
"\n",
"\u8907\u7d20\u5c48\u6298\u7387\u3092\u7528\u3044\u305f\u3001\u8907\u7d20\u53cd\u5c04\u7387\u306f\u4e0b\u8a18\u306e\u3088\u3046\u306b\u5b9a\u7fa9\u3067\u304d\u308b\u3002"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def r_func(n):\n",
" return (n-1)/(n+1)\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\u5c48\u6298\u7387\u306e\u5b9f\u90e8$n$\u3068\u865a\u90e8$\\kappa $\u3092\u30ed\u30b0\u30b9\u30b1\u30fc\u30eb\u3067\u5909\u5316\u3055\u305b\u308b\u3002"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"nmin=0.1\n",
"nmax=100\n",
"n=np.logspace(np.log10(nmin),np.log10(nmax),num=100)\n",
"kmin=0.1\n",
"kmax=100\n",
"k=np.logspace(np.log10(kmin),np.log10(kmax),num=100)\n",
"\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\u5b9f\u90e8\u3001\u865a\u90e8\u304b\u3089\u306a\u308b\u30e1\u30c3\u30b7\u30e5\u3092\u5b9a\u7fa9\u3057\u3001\u305d\u306e\u7bc4\u56f2\u3067\u306e\u30a8\u30cd\u30eb\u30ae\u30fc\u53cd\u5c04\u7387\u3068\u4f4d\u76f8\u5909\u5316\u3092\u8a08\u7b97\u3059\u308b\u3002"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"nn,kk=np.meshgrid(n,k)\n",
"r=r_func(nn+1.0j*kk)\n",
"R=np.abs(r)**2\n",
"iso=np.angle(r)\n",
"\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\u30ed\u30b0\u30ed\u30b0\u3067\u30d7\u30ed\u30c3\u30c8"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.figure(figsize=(16,6))\n",
"plt.subplot(1,2,1)\n",
"plt.contourf(nn,kk,R,20)\n",
"plt.title('Reflectivity',fontsize=20)\n",
"plt.xlabel('$n$',fontsize=20)\n",
"plt.ylabel('$\\kappa$',fontsize=20)\n",
"plt.colorbar()\n",
"plt.xscale('log')\n",
"plt.yscale('log')\n",
"ax=plt.gca()\n",
"ax.xaxis.set_major_formatter(matplotlib.ticker.ScalarFormatter())# \u76ee\u76db\u306e\u6570\u5b57\u306f\u30ed\u30b0\u3058\u3083\u306a\u304f\n",
"ax.yaxis.set_major_formatter(matplotlib.ticker.ScalarFormatter())\n",
"plt.subplot(1,2,2)\n",
"plt.contourf(nn,kk,iso,20)\n",
"plt.colorbar()\n",
"plt.xlabel('$n$',fontsize=20)\n",
"plt.ylabel('$\\kappa$',fontsize=20)\n",
"plt.title('phase(rad)',fontsize=20)\n",
"plt.xscale('log')\n",
"plt.yscale('log')\n",
"ax=plt.gca()\n",
"ax.xaxis.set_major_formatter(matplotlib.ticker.ScalarFormatter())\n",
"ax.yaxis.set_major_formatter(matplotlib.ticker.ScalarFormatter())\n",
"plt.subplots_adjust(wspace = 0.4)\n",
"\n",
"\n",
"\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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wD4IrAMdkSlil1xUAAMBbBFcAtsqUsNoU4RUAAMA7WV43AEBmuEyZG1obZPrP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\nAAg1ElcAAAAAQKj9HzG0cppIi4s0AAAAAElFTkSuQmCC\n"
}
],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\u53cd\u5c04\u7387\u304c0.75\u304b\u30890.85\u306e\u7bc4\u56f2\u4ee5\u5916\u3092\u30de\u30b9\u30af\u3057\u305f\u3001\u4f4d\u76f8\u306e\u914d\u5217\u3092\u4f5c\u308b\u3002"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import numpy.ma as ma\n",
"Rma=ma.masked_outside(R,0.75,0.85)\n",
"mask=Rma.mask\n",
"isoma=ma.masked_array(iso,mask=mask)\n",
"\n",
" "
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\u30de\u30b9\u30af\u3057\u305f\u914d\u5217\u306e\u8868\u793a"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.figure(figsize=(8,6))\n",
"plt.contourf(nn,kk,isoma,20,vmax=2.0)\n",
"plt.xlabel('$n$',fontsize=20)\n",
"plt.ylabel('$\\kappa$',fontsize=20)\n",
"plt.title('phase(rad)',fontsize=20)\n",
"plt.xscale('log')\n",
"plt.yscale('log')\n",
"plt.colorbar(ticks=np.arange(0,2.2,0.2))\n",
"ax=plt.gca()\n",
"ax.xaxis.set_major_formatter(matplotlib.ticker.ScalarFormatter())\n",
"ax.yaxis.set_major_formatter(matplotlib.ticker.ScalarFormatter())\n",
"plt.grid(which='both')\n",
"\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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ghmMuV4q58rsAc7xa4RlvGDxAg4gusflao7L9dmW/ZSZg8+BTrUgrETHx2u12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\nA3HiJSIiMhAnXiIiIgP9f7u9RhIy1ZhMAAAAAElFTkSuQmCC\n"
}
],
"prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# \u307e\u3068\u3081 #\n",
"\u865a\u90e8\u304c\u5b9f\u90e8\u3088\u308a\u3082\u5c0f\u3055\u3044\u9818\u57df\u3092\u9664\u3051\u3070\u3001\u4f4d\u76f8\u306f\u7d50\u69cb\u5909\u5316\u3057\u3066\u3044\u308b\u3053\u3068\u304c\u5206\u304b\u308b\u3002\n",
"\uff11\u3088\u308a\u6709\u610f\u306b\u5c0f\u3055\u3044\u53cd\u5c04\u7387\u306b\u865a\u90e8\u304c\u6709\u610f\u306b\u5bc4\u4e0e\u3057\u3066\u3044\u308b\u306a\u3089\u3001\u4f4d\u76f8\u5909\u5316\u3082\u7121\u8996\u3067\u304d\u306a\u3044\u3002"
]
}
],
"metadata": {}
}
]
}
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