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https://github.com/volatile-static/gr40c


https://github.com/volatile-static/gr40c

Last synced: 12 months ago
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{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"`pip install -U msgpack matplotlib pyvisa`"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 初始化"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/feiyang/gr40/gr40c/server_comms.py:86: MarServerWarning: no RX data received\n",
" warnings.warn(k, MarServerWarning)\n"
]
}
],
"source": [
"import numpy as np\n",
"from experiment import Experiment\n",
"\n",
"console = Experiment(init_gpa=True)\n",
"console.add_flodict({\n",
" f'ocra40_v{ch}': (np.array([0, 100]), np.array([0, 0])) for ch in range(40)\n",
"})\n",
"console.run()\n",
"console.__del__()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 采样"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from typing import Literal\n",
"from time import sleep\n",
"import numpy as np, csv\n",
"from matplotlib import pyplot as plt\n",
"from experiment import Experiment\n",
"from pyvisa import ResourceManager\n",
"\n",
"def read(typ: Literal['HIGH', 'MEAN', 'LOW']):\n",
" # 读取脉冲幅度的测量值\n",
" scope.write('MEASUrement:IMMed:SOUrce CH1') # 设置测量源为通道 1\n",
" scope.write('MEASUrement:IMMed:TYPe ' + typ) # 设置测量类型为脉冲幅度\n",
" return float(scope.query('MEASUrement:IMMed:VALUE?')) # 读取脉冲幅度\n",
"\n",
"def write(ch: int, amp: float):\n",
" console = Experiment(init_gpa=False)\n",
" console.add_flodict({\n",
" f'ocra40_v{ch}': (np.array([10, 1000, 2000]), np.array([0, amp, 0])),\n",
" })\n",
" msg = console.run()\n",
" console.__del__()\n",
" return msg[1]\n",
"\n",
"def sweep(ch: int):\n",
" results = []\n",
" def expt(amp: float):\n",
" write(ch, amp)\n",
" sleep(.2)\n",
" high = read('HIGH')\n",
" low = read('LOW')\n",
" results.append([amp, high, low])\n",
" if np.abs(high - low) > 1.2: # 1.5V/30A\n",
" return True\n",
" return False\n",
" \n",
" scope.write('TRIGger:A:LEVel 0.08')\n",
" for amp in np.linspace(0.02, 0.36, 18):\n",
" if expt(amp):\n",
" break\n",
" scope.write('TRIGger:A:LEVel -0.08')\n",
" for amp in np.linspace(-0.02, -0.36, 18):\n",
" if expt(amp):\n",
" break\n",
" try:\n",
" with open(f'./data/{ch}.csv', 'w') as f:\n",
" writer = csv.writer(f)\n",
" writer.writerows(results)\n",
" except FileNotFoundError:\n",
" print('未保存')\n",
" return np.array(results)\n",
"\n",
"try:\n",
" scope.close()\n",
"except NameError:\n",
" pass\n",
"# rm = ResourceManager()\n",
"# scope = rm.open_resource(rm.list_resources()[0])\n",
"# scope.query('*IDN?')"
]
},
{
"cell_type": "code",
"execution_count": 161,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 161,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"rst = np.array(sweep(0))\n",
"plt.plot(rst[:, 0], rst[:, 1])\n",
"plt.plot(rst[:, 0], rst[:, 2])"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"22"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# scope.query('MEASUrement:IMMed:UNIT?')\n",
"scope.write('TRIGger:A:LEVel -0.3')"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'READY\\n'"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scope.query('TRIGger:STATe?')"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"-0.94"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"read('LOW')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"ename": "SyntaxError",
"evalue": "invalid syntax (3181205662.py, line 1)",
"output_type": "error",
"traceback": [
" \u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[31m \u001b[39m\u001b[31mimport4numpy as np\u001b[39m\n ^\n\u001b[31mSyntaxError\u001b[39m\u001b[31m:\u001b[39m invalid syntax\n"
]
}
],
"source": [
"write(4, 0.1)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"-0.0376"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"console = Experiment(init_gpa=False)\n",
"console.add_flodict({\n",
" 'ocra40_v4': (np.array([10, 1000, 2000]), np.array([0, -0.3, 0])),\n",
"})\n",
"msg = console.run()\n",
"console.__del__()\n",
"msg[1]\n",
"sleep(.1)\n",
"read('LOW')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 拟合"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"import csv, numpy as np\n",
"from matplotlib import pyplot as plt\n",
"\n",
"def import_ch(ch: int):\n",
" with open(f'./data/{ch}.csv', 'r') as f:\n",
" reader = csv.reader(f)\n",
" return np.sort([\n",
" [float(i) for i in row] for row in reader if len(row) == 3\n",
" ], axis=0)\n",
"\n",
"def 划分高低电平(data: np.ndarray):\n",
" low = np.hstack((data[:17, 1], data[19:, 2]))\n",
" high = np.hstack((data[:17, 2], data[19:, 1]))\n",
" x = np.hstack((data[:17, 0], data[19:, 0]))\n",
" return low, high, x\n",
"\n",
"def import_all():\n",
" coef = []\n",
" series = []\n",
" for ch in range(40):\n",
" try:\n",
" raw = import_ch(ch)\n",
" except FileNotFoundError:\n",
" continue\n",
" low, high, x = 划分高低电平(raw)\n",
" series.append([x, low, high])\n",
" k, b = np.polyfit(x, high, 1)\n",
" coef.append([ch, k, b])\n",
" return np.array(coef), np.array(series)\n",
"\n",
"def plot_raw(series: np.ndarray):\n",
" plt.plot(series[:, 0], series[:, 1])\n",
" plt.plot(series[:, 0], series[:, 2])"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.close('all')\n",
"for ch in range(39):\n",
" plt.plot(series[ch][0], series[ch][2], alpha=.2)"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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