Files
SiC-2nd-paper/画图/入射角度与偏移/plot.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 100,
"id": "e8521a2b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/chn/repo/SiC-2nd-paper\n"
]
}
],
"source": [
"import numpy as np\n",
"import os\n",
"import matplotlib.pyplot as plt\n",
"import h5py\n",
"import sys\n",
"from scipy.interpolate import RegularGridInterpolator\n",
"import plotly.graph_objects as go\n",
"import matplotlib.colors as mcolors\n",
"np.set_printoptions(precision=6, suppress=True, threshold=sys.maxsize)\n",
"plt.rcParams['text.usetex'] = True\n",
"plt.rcParams['font.family'] = 'Arial'\n",
"\n",
"print(os.getcwd())"
]
},
{
"cell_type": "code",
"execution_count": 101,
"id": "20c1986e",
"metadata": {},
"outputs": [],
"source": [
"res = 100\n",
"frequency = [[[None for _ in range(res + 1)] for _ in range(res + 1)] for _ in range(24)]\n",
"center_freq = [\n",
" 0, 0, 0,\n",
" 5.715, 5.715, 5.935, 5.935, 7.720, 7.720, # E2-1 E2-2 E1-1\n",
" 11.698, 11.924, 17.751, # B1-1 B1-2 A1-1\n",
" 22.407, 22.407, 22.687, 22.687, 22.929, 22.929, # E1-2 E2-3 E2-4\n",
" 23.297, 23.297, # normal-TO\n",
" 24.386, 26.570, 26.823, # A1-2 B1-3 B1-4\n",
" 28.014 # normal-LO\n",
"]\n",
"visible_modes = [\n",
" # E2-1 E2-2 E1-1 A1-1 E1-2 E2-3 E2-4 TO A1-2 LO\n",
" 3, 4, 5, 6, 7, 8, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 23\n",
"]\n",
"negligible_polar_name = [\n",
" \"$\\\\mathrm{E}_2$-1\", \"$\\\\mathrm{E}_2$-2\", \"$\\\\mathrm{E}_1$-1\", \"$\\\\mathrm{A}_1$-1\",\n",
" \"$\\\\mathrm{E}_1$-2\", \"$\\\\mathrm{E}_2$-3\", \"$\\\\mathrm{E}_2$-4\", \"$\\\\mathrm{A}_1$-2\"\n",
"]\n",
"negligible_polar_modes = [[3, 4], [5, 6], [7, 8], [11], [12, 13], [14, 15], [16, 17], [20]]\n",
"# visible_modes = [\n",
"# # E2-1 E2-2 E1-1 A1-1 E2-3 TO A1-2 LO\n",
"# 3, 4, 5, 6, 7, 8, 11, 14, 15, 18, 19, 20, 23\n",
"# ]\n",
"# negligible_polar_name = [\n",
"# \"$\\\\mathrm{E}_2$-1\", \"$\\\\mathrm{E}_2$-2\", \"$\\\\mathrm{E}_1$-1\", \"$\\\\mathrm{A}_1$-1\",\n",
"# \"$\\\\mathrm{E}_2$-3\", \"$\\\\mathrm{A}_1$-2\"\n",
"# ]\n",
"# negligible_polar_modes = [[3, 4], [5, 6], [7, 8], [11], [14, 15], [20]]\n",
"strong_polar_name = [ \"TO-zOx\", \"TO-y\", \"LO\" ]\n",
"strong_polar_modes = [[18], [19], [23]]\n",
"lazer_vec = [17.85, 10.15, 8.37]\n",
"lazer_color = ['purple', 'green', 'red']\n",
"lazer_name = ['325', '532', '633']\n",
"for i in visible_modes:\n",
" frequency[i] = np.loadtxt(f'../SiC-2nd/5/5.1/5.1.6/5.1.6.3/data/{i}.txt')"
]
},
{
"cell_type": "code",
"execution_count": 102,
"id": "23f011be",
"metadata": {},
"outputs": [],
"source": [
"# 插值,得到不同波矢下的频率\n",
"x = np.linspace(0, 20, res + 1)\n",
"z = np.linspace(0, 20, res + 1)\n",
"light = [17.85, 10.15, 8.37]\n",
"freq_per_light = [[[None for i in range(101)] for mode in range(24)] for _ in range(len(light))]\n",
"for l in range(len(light)):\n",
" for mode in visible_modes:\n",
" interp = RegularGridInterpolator((z, x), frequency[mode], method='linear')\n",
" for i in range(101):\n",
" kx = light[l] * np.sin(i / 200 * np.pi)\n",
" kz = light[l] * np.cos(i / 200 * np.pi)\n",
" freq_per_light[l][mode][i] = interp((kz, kx))\n",
"for l in range(len(light)):\n",
" fig = go.Figure()\n",
" for mode in visible_modes:\n",
" fig.add_trace(go.Scatter(x=np.arange(101), y=freq_per_light[0][mode], mode='lines', name=f'{mode}'))\n",
" fig.update_layout(width=500, height=2000)\n",
" # fig.show()"
]
},
{
"cell_type": "code",
"execution_count": 103,
"id": "a6502ad9",
"metadata": {},
"outputs": [],
"source": [
"# 画频率的偏移,以 z 方向入射为参考\n",
"for l in range(len(light)):\n",
" fig = go.Figure()\n",
" for idmode, mode in enumerate(negligible_polar_modes):\n",
" delta_freq_mode = [None for m in mode]\n",
" for idm, m in enumerate(mode):\n",
" delta_freq_mode[idm] = [freq_per_light[l][m][i] - freq_per_light[l][m][0] for i in range(101)]\n",
" delta_freq_peek = np.mean(delta_freq_mode, axis=0)\n",
" fig.add_trace(go.Scatter(x=np.arange(101), y=delta_freq_peek / 3 * 100, mode='lines', name=f'{negligible_polar_name[idmode]}'))\n",
" fig.update_layout(width=500, height=2000)\n",
" # fig.show()"
]
},
{
"cell_type": "code",
"execution_count": 104,
"id": "dc1f8731",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_2596786/4187574644.py:21: UserWarning:\n",
"\n",
"FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
"\n"
]
},
{
"data": {
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",
"text/plain": [
"<Figure size 750x350 with 9 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"cmap = mcolors.LinearSegmentedColormap.from_list('light_amber_cyan_diverging', [[0, '#F57C00'], [0.25, '#FFB74D'], [0.5, '#F2F2F2'], [0.75, '#4DD0E1'], [1, '#0097A7']])\n",
"fig, axes = plt.subplots(2, 4, figsize=(7.5, 3.5))\n",
"for i, ax in enumerate(axes.flat):\n",
" data = np.mean([(np.array(frequency[mode]) - frequency[mode][0][0]) / 3 * 100 for mode in negligible_polar_modes[i]], axis=0)\n",
" im = ax.imshow(data, cmap=cmap, origin='lower', norm=mcolors.TwoSlopeNorm(vmin=-1, vcenter=0, vmax=1))\n",
" ax.set_xlim(0, 100)\n",
" ax.set_ylim(0, 100)\n",
" ax.set_title(negligible_polar_name[i], fontsize=10)\n",
" ax.set_xticks([0, 9.70 / 20 * 100, 19.40 / 20 * 100], labels=['$\\\\Gamma$', '0.003K', '0.006K'], fontsize=8)\n",
" ax.set_yticks([9.88 / 20 * 100, 19.75 / 20 * 100], labels=['0.01A', '0.02A'], fontsize=8)\n",
" ax.get_xticklabels()[0].set_horizontalalignment('right')\n",
" ax.tick_params(axis='both', which='both', direction='in')\n",
" for l in range(len(lazer_vec)):\n",
" ax.plot(np.sin(np.linspace(0, np.pi / 2, 101)) * 100 / 20 * lazer_vec[l], np.cos(np.linspace(0, np.pi / 2, 101)) * 100 / 20 * lazer_vec[l], color=lazer_color[l], linestyle='--', alpha=0.5)\n",
"fig.subplots_adjust(bottom=0.2, hspace=0.4, wspace=0.5)\n",
"cbar_ax = fig.add_axes([0.25, 0.08, 0.60, 0.03])\n",
"cb = fig.colorbar(im, cax=cbar_ax, orientation='horizontal')\n",
"cbar_ax.set_xlim(-0.9, 0.9)\n",
"cbar_ax.tick_params(direction='in', labelsize=8)\n",
"# fig.tight_layout()\n",
"fig.show()\n",
"fig.savefig('画图/入射角度与偏移/nopo.svg', format='svg', transparent=True, bbox_inches='tight')"
]
},
{
"cell_type": "code",
"execution_count": 105,
"id": "739332e4",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_2596786/2254584389.py:20: UserWarning:\n",
"\n",
"FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
"\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 750x130 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(1, 3, figsize=(7.5, 1.3))\n",
"for i, ax in enumerate(axes):\n",
" data = np.mean([(np.array(frequency[mode]) - frequency[mode][0][0]) / 3 * 100 for mode in strong_polar_modes[i]], axis=0)\n",
" im = ax.imshow(data, cmap=cmap, origin='lower', norm=mcolors.TwoSlopeNorm(vmin=-15, vcenter=0, vmax=15))\n",
" ax.set_xlim(0, 100)\n",
" ax.set_ylim(0, 100)\n",
" ax.set_title(strong_polar_name[i], fontsize=10)\n",
" ax.set_xticks([0, 9.70 / 20 * 100, 19.40 / 20 * 100], labels=['$\\\\Gamma$', '0.003K', '0.006K'], fontsize=8)\n",
" ax.set_yticks([9.88 / 20 * 100, 19.75 / 20 * 100], labels=['0.01A', '0.02A'], fontsize=8)\n",
" ax.get_xticklabels()[0].set_horizontalalignment('right')\n",
" ax.tick_params(axis='both', which='both', direction='in')\n",
" for l in range(len(lazer_vec)):\n",
" ax.plot(np.sin(np.linspace(0, np.pi / 2, 101)) * 100 / 20 * lazer_vec[l], np.cos(np.linspace(0, np.pi / 2, 101)) * 100 / 20 * lazer_vec[l], color=lazer_color[l], linestyle='--', alpha=0.5)\n",
"fig.subplots_adjust(right=0.75, hspace=0.3, wspace=0.3)\n",
"cbar_ax = fig.add_axes([0.8, 0.1, 0.02, 0.8])\n",
"cb = fig.colorbar(im, cax=cbar_ax)\n",
"cbar_ax.set_ylim(-14, 14)\n",
"cbar_ax.tick_params(direction='in', labelsize=8)\n",
"# fig.tight_layout()\n",
"fig.show()\n",
"fig.savefig('画图/入射角度与偏移/po.svg', format='svg', transparent=True, bbox_inches='tight')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0bb23295",
"metadata": {},
"outputs": [],
"source": [
"polarizations = [ \"zyyz\", \"xyyx\" ]\n",
"peek = [ \"E21\", \"E22\", \"A11\" ]\n",
"data = {peak: {p: np.loadtxt(f'画图/拉曼结果拟合/combined/substrate/{peak}_shift_{p}.txt') for p in polarizations} for peak in peek}\n",
"mean = {pe: {p: np.mean(data[pe][p]) for p in polarizations} for pe in peek}\n",
"std = {pe: {p: np.std(data[pe][p]) for p in polarizations} for pe in peek}\n",
"distribute_range = {pe: {p: np.linspace(mean[pe][p] - 5*std[pe][p], mean[pe][p] + 5*std[pe][p], 100) for p in polarizations} for pe in peek}\n",
"theoretical_result = { \"E21\": 0.263, \"E22\": 0.221, \"A11\": 0.188 }\n",
"color = { \"zyyz\": \"#50cfd2\", \"xyyx\": \"#9d569c\" }\n",
"peak_label = { \"E21\": \"$\\\\mathrm{E_2}$-1\", \"E22\": \"$\\\\mathrm{E_2}$-2\", \"A11\": \"$\\\\mathrm{A_1}$-1\" }"
]
},
{
"cell_type": "code",
"execution_count": 130,
"id": "5eb18b36",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 250x230 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"normal_dist = lambda x, mu, sigma: np.exp( - (x - mu)**2 / (2 * sigma**2) ) / 50 / sigma\n",
"fig, ax = plt.subplots(figsize=(2.5, 2.3))\n",
"for i, pe in enumerate(peek):\n",
" for j, p in enumerate(polarizations):\n",
" ax.scatter(np.ones_like(data[pe][p]) - 1 + j + i * 4, data[pe][p] - mean[pe][\"zyyz\"], color=color[p], alpha=0.4, s=25)\n",
" ax.plot(normal_dist(distribute_range[pe][p] - mean[pe][\"zyyz\"], mean[pe][p] - mean[pe][\"zyyz\"], std[pe][p]) + j + 0.2 + i * 4, distribute_range[pe][p] - mean[pe][\"zyyz\"], color=color[p])\n",
" # 加一条分割线\n",
" ax.axvline(x=i * 4 - 0.5, color='gray', linestyle='--', linewidth=0.5, alpha=0.5)\n",
"ax.tick_params(axis=\"y\", direction='in', labelsize=10)\n",
"ax.tick_params(axis=\"x\", bottom=False, labelsize=10)\n",
"ax.set_xticks([i * 4 + 1.5 for i in range(len(peek))])\n",
"ax.set_xticklabels([peak_label[pe] for pe in peek])\n",
"ax.set_xlim(-0.2, 11.5)\n",
"ax.set_ylabel('Raman shift (cm$^{-1}$)')\n",
"# ax.set_title('Experimental results', fontsize=10)\n",
"plt.tight_layout()\n",
"plt.subplots_adjust(hspace=0.1)\n",
"plt.show() \n",
"fig.savefig(f'画图/入射角度与偏移/1.svg', format='svg', transparent=True, bbox_inches='tight')"
]
},
{
"cell_type": "code",
"execution_count": 128,
"id": "1deb859a",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 300x200 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(3, 2))\n",
"for i, peak in enumerate(peek):\n",
" ax.bar(i * 0.8, abs(mean[peak]['zyyz'] - mean[peak]['xyyx']), width=0.2, color='#1bb8df')\n",
" ax.errorbar(i * 0.8, abs(mean[peak]['zyyz'] - mean[peak]['xyyx']), yerr=np.sqrt(std[peak]['zyyz']**2 + std[peak]['xyyx']**2), capsize=5, color='#72e8b4')\n",
" ax.text(i * 0.8, abs(mean[peak]['zyyz'] - mean[peak]['xyyx']) + np.sqrt(std[peak]['zyyz']**2 + std[peak]['xyyx']**2) + 0.01, f'{abs(mean[peak][\"zyyz\"] - mean[peak][\"xyyx\"]):.3f}\\n$\\\\pm$ {np.sqrt(std[peak]['zyyz']**2 + std[peak]['xyyx']**2):.3f}', ha='center', fontsize=8)\n",
" ax.bar(i * 0.8 + 0.3, theoretical_result[peak], width=0.2, color='#7b7bc9')\n",
" ax.text(i * 0.8 + 0.3, theoretical_result[peak] + 0.005, f'{theoretical_result[peak]:.3f}', ha='center', fontsize=8)\n",
"ax.set_xticks([0.15, 0.95, 1.75])\n",
"ax.set_xticklabels([peak_label[peak] for peak in peek])\n",
"ax.set_ylabel('Difference of Raman shift\\n(cm$^{-1}$)')\n",
"ax.set_ylim(0, 0.5)\n",
"ax.tick_params(direction='in')\n",
"# ax.set_title('Experimental v.s. calculated', fontsize=10, x=0.35)\n",
"plt.tight_layout()\n",
"plt.show()\n",
"fig.savefig(f'画图/入射角度与偏移/2.svg', format='svg', transparent=True, bbox_inches='tight')"
]
}
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