add analisis data
This commit is contained in:
nazarchuk.as
parent
54d3f87c05
commit
90c2fdaf50
@ -12,8 +12,8 @@ from scipy.optimize import curve_fit
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class Data:
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def __init__(self, x=[], y=[], xlabel='', ylabel='', caption='', xerr=None,
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yerr=None, through_0=0, data_filename='', color=None,
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def __init__(self, x=[], y=[], xlabel='', ylabel='', caption='', xerr=[],
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yerr=[], through_0=0, data_filename='', color=None,
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centering=None, size=15, coefficient=[0.9, 1.1], saving=None):
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self.x = x
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self.y = y
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@ -36,20 +36,20 @@ class Data:
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self.data_filename = data_filename
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self.saving = saving
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def make_errors(self, xerr=None, yerr=None):
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if not xerr:
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def make_errors(self, xerr=[], yerr=[]):
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if not len(xerr):
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xerr = self.xerr
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if not yerr:
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if not len(yerr):
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yerr = self.yerr
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if not xerr:
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if not len(xerr):
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xerr = 0
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if not yerr:
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if not len(yerr):
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yerr = 0
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if not yerr or type(yerr) == float or type(yerr) == int:
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if type(yerr) == float or type(yerr) == int:
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self.yerr = [yerr for _ in self.y]
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else:
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self.yerr = yerr
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if not xerr or type(xerr) == float or type(xerr) == int:
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if type(xerr) == float or type(xerr) == int:
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self.xerr = [xerr for _ in self.x]
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else:
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self.xerr = xerr
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@ -9,6 +9,8 @@ import os
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import csv
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import serial
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import numpy as np
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from scipy.optimize import curve_fit
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import matplotlib.pyplot as plt
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import time
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from PyQt6 import QtCore
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from PyQt6.QtGui import QPixmap
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@ -24,22 +26,16 @@ from PyQt6.QtWidgets import (QLabel,
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from Analisis_data import Data
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from Abstract_window import AbstractWindow
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class ChartWindow(AbstractWindow):
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def __init__(self, parent):
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super().__init__()
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self.setWindowTitle('Обработка данных')
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self.parent = parent
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self.parent.chartname = 'Chart'
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self.parent.data = Data(data_filename=os.path.join(self.parent.folder, self.parent.dataname),
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saving=os.path.join(self.parent.folder, self.parent.chartname))
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self.parent.data.read_csv()
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# add B(I_M) #TODO
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self.parent.data.x = np.array(self.parent.data.data['I_0,mA'])*np.array(self.parent.data.data['I_M,mA'])
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self.parent.data.y = self.parent.data.data['U_34,mV']
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self.parent.data.ylabel = 'U_34,mV'
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self.parent.data.xlabel = 'I$_{обр} \cdot B$, мА$\cdot $ Tл'
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self.parent.data.make_grafic()
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(a, eps) = self.make_grad()
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self.make_main(a, eps)
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self.setWindowTitle('Основной эксперимент. Обработка данных')
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self.resize(1400, 800)
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@ -48,15 +44,126 @@ class ChartWindow(AbstractWindow):
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self.setCentralWidget(self.centralwidget)
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pixmap = QPixmap(os.path.join(
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self.parent.folder, self.parent.chartname))
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self.parent.folder,
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self.parent.main_chartname))
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self.label = QLabel(self)
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self.label.setScaledContents(True)
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self.label.setFixedSize(0.7*self.width(), 0.9*self.height())
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self.label.setPixmap(pixmap)
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self.text = QTextBrowser()
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self.text.setText('text')
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self.text.setText(self.make_text())
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self.hbox_layout = QGridLayout(self.centralwidget)
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self.hbox_layout.addWidget(self.label, 0, 0)
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self.hbox_layout.addWidget(self.text, 0, 1)
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def B(self, x, b, c, d):
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return x**2*b+x*c+d
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def make_grad(self):
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self.parent.grad_chartname = 'Graduation_chart.png'
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self.parent.data_grad = Data(data_filename=os.path.join(
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self.parent.folder, self.parent.flow_dataname))
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self.parent.data_grad.read_csv()
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self.parent.data_grad.x = np.array(
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self.parent.data_grad.data['I_M,mA'])
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self.parent.data_grad.y = np.array(self.parent.data_grad.data['B,mTl'])
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self.parent.data_grad.xlabel = 'I$_M$,mA'
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self.parent.data_grad.ylabel = 'B,mTl'
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self.parent.data_grad.xerr = 0.0035/100*self.parent.data_grad.x
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self.parent.data_grad.yerr = 0.02*self.parent.data_grad.y
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plt.figure(dpi=500, figsize=(8, 5))
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self.parent.data_grad.make_point_grafic()
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a, sigma = curve_fit(
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self.B, self.parent.data_grad.x, self.parent.data_grad.y)
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sigma = abs(np.sqrt(np.diag(sigma))/a)
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eps = (np.min(sigma)**2+(0.0035/100)**2+0.02**2)**0.5
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x_range = np.arange(min(self.parent.data_grad.x),
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max(self.parent.data_grad.x), step=0.001)
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y_fit = self.B(x_range, a[0], a[1], a[2])
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plt.plot(x_range, y_fit)
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plt.savefig(os.path.join(
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self.parent.folder,
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self.parent.grad_chartname))
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return (a, eps)
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def make_main(self, a, eps_b):
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self.parent.main_chartname = 'Chart'
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self.parent.data_main = Data(data_filename=os.path.join(self.parent.folder, self.parent.dataname),
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saving=os.path.join(self.parent.folder, self.parent.main_chartname))
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self.parent.data_main.read_csv()
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h = self.parent.a
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e = np.array((self.parent.data_main.data['U_34,mV'] -
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self.parent.data_main.data['U_0,mV'])/10**3)
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b = np.array(
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self.B(self.parent.data_main.data['I_M,mA'], a[0], a[1], a[2]))
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eds = chr(949)
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self.parent.data_main.x = np.array(
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self.parent.data_main.data['I_0,mA']*b)
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self.parent.data_main.y = e
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self.parent.data_main.ylabel = eds+'$_x$, mV'
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self.parent.data_main.xlabel = 'I$_{обр} \cdot B$, мА$\cdot $ Tл'
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self.parent.data_main.make_grafic()
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self.parent.data_main.xerr = abs(
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self.parent.data_main.x*(eps_b**2+0.01**2)**0.5)
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self.parent.data_main.yerr = abs(5*10**-5*self.parent.data_main.y)
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self.parent.data_main.through_0 = 0
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k, b1, sigma = self.parent.data_main.make_grafic()
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self.parent.R_H = k*h
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self.parent.sigma_R_H = self.parent.R_H*sigma[0]/k
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e_e = 1.6*10**-19
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self.parent.n = 1/(-self.parent.R_H*e_e)*10**-21
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self.parent.sigma_n = self.parent.n*abs(sigma[0]/k)
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self.parent.b = -self.parent.sigma*self.parent.R_H
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self.parent.sigma_b = self.parent.b*((self.parent.sigma_sigma/self.parent.sigma)**2 +
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(sigma[0]/k)**2)**0.5
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def make_text(self):
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s0 = 'Вычисленные постоянные равны:'+'\n'+\
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'R_X - постоянная Холла, '+'\n'+' n - концентрация носителей заряда,'+'\n'+\
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'sigma - удельная проводимость, '+'\n'+' b - подвижность'+'\n'+'\n'
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s1 = 'R_X = ' + str(round(self.parent.R_H*10**10)) + ' +- ' + \
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str(round(self.parent.sigma_R_H*10**10)) + \
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' , 10^-10 м^3/Кл'+'\n'+'\n'
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s2 = 'n = ' + str(round(self.parent.n)) + ' +- ' + \
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str(round(self.parent.sigma_n)) + ' , 1/м^3'+'\n'+'\n'
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s3 = 'sigma = ' + str(round(self.parent.sigma)) + ' +- ' + \
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str(round(self.parent.sigma_sigma)) + ', 1/(Ом*м)'+'\n'+'\n'
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s4 = 'b = ' + str(round(self.parent.b*10**4)) + ' +- ' + \
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str(round(self.parent.sigma_b*10**4)) + ', см^3/(В*с)'+'\n'+'\n'
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return s0+s1+s2+s3+s4
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# print('all ', -k/h, '+-', sigma[0]/h)
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# plt.show()
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# plt.figure(dpi=500, figsize=(8, 5))
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# plt.figure(dpi=500, figsize=(8, 5))
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# x = np.array(data['I'])
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# y = np.array(data['k'])
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# xlabel = 'I, мА'
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# ylabel = 'K, мВ/Тл'
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# caption_point = ''
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# xerr = abs(x*1/100)
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# yerr = data['sig_k']
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# k, b, sigma = make_graffic(
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# x, y, xlabel, ylabel, caption_point, xerr, yerr, b=0, koef=[1.1, 1.1])
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# plt.savefig('K(I)')
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# print('R_x ', k*h*10**6, '+-', sigma[0]*10**6*h)
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# n = 1/(-k*h*e_e)*10**-21
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# sigma_n = n*abs(sigma[0]/k)
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# print('n = ', n, '+-', sigma_n)
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# sig = 1/4.097*5/4/10**-3
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# sig_sig = sig*((5*10**-5)**2+(1/100)**2)**0.5
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# print('sigma = ', sig, '+-', sig_sig)
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# b = -sig*k*h*10**4
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# sig_b = b*((sig_sig/sig)**2+(sigma[0]/k)**2)**0.5
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# print('b = ', b, '+-', sig_b)
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@ -26,7 +26,6 @@ from Abstract_window import AbstractWindow
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class ThreadData(QtCore.QThread):
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signal = QtCore.pyqtSignal(str)
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def __init__(self, parent):
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QtCore.QThread.__init__(self)
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@ -102,7 +101,7 @@ class MainWindow(AbstractWindow):
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def enter_a(self):
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# TODO
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self.parent.a = self.lineEdit.text()
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self.parent.a = float(self.lineEdit.text())/10**3
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self.start.setEnabled(True)
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self.lineEdit.setReadOnly(True)
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@ -60,11 +60,11 @@ class ResistanceWindow(AbstractWindow):
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self.parent.change_number()
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def enter_L(self):
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self.parent.L=self.line_L.text()
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self.parent.L=float(self.line_L.text())/1000
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self.line_L.setReadOnly(True)
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def enter_l(self):
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self.parent.L=self.line_l.text()
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self.parent.l=float(self.line_l.text())/1000
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self.start.setEnabled(True)
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self.line_l.setReadOnly(True)
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@ -73,6 +73,9 @@ class ResistanceWindow(AbstractWindow):
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current=10
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voltage=15
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# voltage, current = self.measure()
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self.parent.sigma = current*self.parent.L/(voltage*self.parent.l*self.parent.a)
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self.parent.sigma_sigma = self.parent.sigma*((5*10**-5)**2+(0.0035/100)**2)**0.5
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self.current_value.setText(str(current)+', mA')
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self.voltage_value.setText(str(voltage)+', mV')
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self.menu.setEnabled(True)
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@ -31,7 +31,7 @@ class SignWindow(AbstractWindow):
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self.menu.clicked.connect(self.menu_clicked)
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self.with_field = QLabel('С полем: ', self)
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self.without_field = QLabel('С полем: ', self)
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self.without_field = QLabel('Без поля: ', self)
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self.with_field_value = QLabel(self)
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self.without_field_value = QLabel(self)
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Before Width: | Height: | Size: 147 KiB After Width: | Height: | Size: 155 KiB |
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Automation/j/Graduation_chart.png
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Automation/j/Graduation_chart.png
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After Width: | Height: | Size: 122 KiB |
@ -1 +1,6 @@
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"B,mTl","E,mV","I_M,mA","t,ms"
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1,17.983333333333334,8.991666666666667,1079
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2,26.666666666666668,13.333333333333334,1600
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3,34.583333333333336,17.291666666666668,2075
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4,46.71666666666667,23.358333333333334,2803
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5,55.5,27.75,3330
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@ -1,6 +1,5 @@
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"U_34,mV","I_M,mA","U_0,mV","I_0,mA","E, mV",N,"t,ms"
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0.016666666666666666,0.016666666666666666,0.016666666666666666,0.00016666666666666666,0,1,1
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16.7,16.7,0.016666666666666666,0.16699999999999998,5.0,1,1002
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33.38333333333333,33.38333333333333,0.016666666666666666,0.3338333333333333,10.0,1,2003
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16.683333333333334,16.683333333333334,0.016666666666666666,0.16683333333333333,5.0,1,1001
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33.36666666666667,33.36666666666667,0.016666666666666666,0.33366666666666667,10.0,1,2002
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50.06666666666667,50.06666666666667,0.016666666666666666,0.5006666666666667,15.0,1,3004
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66.75,66.75,0.016666666666666666,0.6675,20.0,1,4005
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