1085 lines
272 KiBLFS
Plaintext
1085 lines
272 KiBLFS
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "fc951bba",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'/home/chn/repo/SiC-2nd-paper'"
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]
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},
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"execution_count": 1,
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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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"import numpy as np\n",
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"from scipy.optimize import curve_fit\n",
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"import matplotlib.pyplot as plt\n",
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"import plotly.graph_objects as go\n",
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"import matplotlib\n",
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"import os\n",
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"np.set_printoptions(suppress=True, formatter={'float_kind':lambda x: \"%.3f\" % x})\n",
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"\n",
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"%pwd"
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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": null,
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"id": "5ec21d19",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.plotly.v1+json": {
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"config": {
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"plotlyServerURL": "https://plot.ly"
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},
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"data": [
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{
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"mode": "lines",
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"name": "0 0",
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"type": "scatter",
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"x": {
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"bdata": 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",
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"dtype": "f8"
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},
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"y": {
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"dtype": "f8"
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},
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"y": {
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}
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},
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{
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"mode": "lines",
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"name": "1 0",
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"dtype": "f8"
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}
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},
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{
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"mode": "lines",
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"name": "1 1",
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"type": "scatter",
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"x": {
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"dtype": "f8"
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},
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"y": {
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"dtype": "f8"
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}
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},
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{
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"mode": "lines",
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"name": "2 0",
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"type": "scatter",
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"x": {
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"dtype": "f8"
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},
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"y": {
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"dtype": "f8"
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}
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},
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{
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"mode": "lines",
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"name": "2 1",
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"type": "scatter",
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"x": {
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"dtype": "f8"
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},
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"y": {
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",
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"dtype": "f8"
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}
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},
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{
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"mode": "lines",
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"name": "3 0",
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"type": "scatter",
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"x": {
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"bdata": 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"dtype": "f8"
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},
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"y": {
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}
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},
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{
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"x": {
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"dtype": "f8"
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},
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"y": {
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"dtype": "f8"
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}
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},
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{
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"mode": "lines",
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"name": "4 0",
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"type": "scatter",
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"x": {
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"dtype": "f8"
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},
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"y": {
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",
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"dtype": "f8"
|
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}
|
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},
|
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{
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"mode": "lines",
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"name": "4 1",
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"type": "scatter",
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"x": {
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},
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"dtype": "f8"
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}
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},
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{
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"mode": "lines",
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"name": "5 0",
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"type": "scatter",
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"dtype": "f8"
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}
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},
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{
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"mode": "lines",
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"name": "5 1",
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"type": "scatter",
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"x": {
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"dtype": "f8"
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},
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"y": {
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"bdata": 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",
|
||
"dtype": "f8"
|
||
}
|
||
}
|
||
],
|
||
"layout": {
|
||
"annotations": [
|
||
{
|
||
"font": {
|
||
"size": 30
|
||
},
|
||
"text": "E2-3 主峰 总是存在",
|
||
"x": 776,
|
||
"y": 3.84
|
||
},
|
||
{
|
||
"font": {
|
||
"size": 30
|
||
},
|
||
"text": "edge-TO-y 总是存在",
|
||
"x": 798,
|
||
"y": 2.61
|
||
},
|
||
{
|
||
"font": {
|
||
"size": 30
|
||
},
|
||
"text": "衬底的 edge-TO-z",
|
||
"x": 783,
|
||
"y": 3.14
|
||
},
|
||
{
|
||
"font": {
|
||
"size": 30
|
||
},
|
||
"text": "？？？ 靠近外延层才出现",
|
||
"x": 788,
|
||
"y": 3.19
|
||
}
|
||
],
|
||
"height": 1080,
|
||
"template": {
|
||
"data": {
|
||
"bar": [
|
||
{
|
||
"error_x": {
|
||
"color": "#2a3f5f"
|
||
},
|
||
"error_y": {
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|
||
"bgcolor": "#E5ECF6",
|
||
"radialaxis": {
|
||
"gridcolor": "white",
|
||
"linecolor": "white",
|
||
"ticks": ""
|
||
}
|
||
},
|
||
"scene": {
|
||
"xaxis": {
|
||
"backgroundcolor": "#E5ECF6",
|
||
"gridcolor": "white",
|
||
"gridwidth": 2,
|
||
"linecolor": "white",
|
||
"showbackground": true,
|
||
"ticks": "",
|
||
"zerolinecolor": "white"
|
||
},
|
||
"yaxis": {
|
||
"backgroundcolor": "#E5ECF6",
|
||
"gridcolor": "white",
|
||
"gridwidth": 2,
|
||
"linecolor": "white",
|
||
"showbackground": true,
|
||
"ticks": "",
|
||
"zerolinecolor": "white"
|
||
},
|
||
"zaxis": {
|
||
"backgroundcolor": "#E5ECF6",
|
||
"gridcolor": "white",
|
||
"gridwidth": 2,
|
||
"linecolor": "white",
|
||
"showbackground": true,
|
||
"ticks": "",
|
||
"zerolinecolor": "white"
|
||
}
|
||
},
|
||
"shapedefaults": {
|
||
"line": {
|
||
"color": "#2a3f5f"
|
||
}
|
||
},
|
||
"ternary": {
|
||
"aaxis": {
|
||
"gridcolor": "white",
|
||
"linecolor": "white",
|
||
"ticks": ""
|
||
},
|
||
"baxis": {
|
||
"gridcolor": "white",
|
||
"linecolor": "white",
|
||
"ticks": ""
|
||
},
|
||
"bgcolor": "#E5ECF6",
|
||
"caxis": {
|
||
"gridcolor": "white",
|
||
"linecolor": "white",
|
||
"ticks": ""
|
||
}
|
||
},
|
||
"title": {
|
||
"x": 0.05
|
||
},
|
||
"xaxis": {
|
||
"automargin": true,
|
||
"gridcolor": "white",
|
||
"linecolor": "white",
|
||
"ticks": "",
|
||
"title": {
|
||
"standoff": 15
|
||
},
|
||
"zerolinecolor": "white",
|
||
"zerolinewidth": 2
|
||
},
|
||
"yaxis": {
|
||
"automargin": true,
|
||
"gridcolor": "white",
|
||
"linecolor": "white",
|
||
"ticks": "",
|
||
"title": {
|
||
"standoff": 15
|
||
},
|
||
"zerolinecolor": "white",
|
||
"zerolinewidth": 2
|
||
}
|
||
}
|
||
},
|
||
"width": 1920
|
||
}
|
||
}
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"x = [[None for h in range(2)] for s in range(6)]\n",
|
||
"y = [[None for h in range(2)] for s in range(6)]\n",
|
||
"for site in range(6):\n",
|
||
" for h, half in enumerate(['前', '后']):\n",
|
||
" data = np.loadtxt(f'画图/拉曼结果拟合/251126/1/xyyx/{site+1}{half}半.txt')\n",
|
||
" x[site][h] = data[:,0]\n",
|
||
" y[site][h] = data[:,1]\n",
|
||
"fig = go.Figure()\n",
|
||
"for site in range(6):\n",
|
||
" for half in range(2):\n",
|
||
" fig.add_trace(go.Scatter(x=x[site][half], y=np.log10(y[site][half]), mode='lines', name=f'{site} {half}'))\n",
|
||
"fig.update_layout(width=1920, height=1080)\n",
|
||
"# 在每条曲线末尾添加注释文字（也可改为指定的 x,y 值）\n",
|
||
"fig.add_annotation(x=776, y=3.84, text='E2-3 主峰 总是存在', font=dict(size=30))\n",
|
||
"fig.add_annotation(x=798, y=2.61, text='edge-TO-y 总是存在', font=dict(size=30))\n",
|
||
"fig.add_annotation(x=783, y=3.14, text='衬底的 edge-TO-z', font=dict(size=30))\n",
|
||
"fig.add_annotation(x=788, y=3.19, text='？？？ 靠近外延层才出现', font=dict(size=30))\n",
|
||
"fig.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "bb939d20",
|
||
"metadata": {},
|
||
"source": [
|
||
"侧入射、外延层附近、只在532上复现出来。\n",
|
||
"特征：\n",
|
||
"* 与外延层或表面有关\n",
|
||
"* 距离衬底的 edge-TO-z 和 edge-TO-y 都比较远\n",
|
||
"* 在不同位置上测得的结果有明显偏移（大约 0.5 cm-1）\n",
|
||
"可能的原因：\n",
|
||
"* 依然是 edge-TO-z，因为掠入射而移动到了这里\n",
|
||
" * 会移动这么多吗？为什么在别的片子上无法复现？\n",
|
||
"* 外延层的 edge-TO-z，因为某种原因移动到这里\n",
|
||
" * 电荷？不应该移动这么多，而且在别的片子上无法复现。\n",
|
||
" * 应变？\n",
|
||
"* 局域结构的振动模式？"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"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": "3.13.8"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|