117 lines
4.0 KiB
Python
117 lines
4.0 KiB
Python
from contextlib import redirect_stderr
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import numpy as np
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from matplotlib import pyplot as plt
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import csv
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import scipy.constants as sp
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def main():
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print("Code is running.")
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plot_UI(open_CSV("U(I).csv"))
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plot_UIs(open_CSV("1,5mA.csv"), '[1,5mA]')
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plot_UIs(open_CSV("3mA.csv"), '[3mA]')
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plot_UIs(open_CSV("5mA.csv"), '[5mA]')
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def open_CSV(filename):
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with open('/home/dmitrii/Physics Labs/3.5.1/' + filename, newline="") as csvfile:
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datareader = csv.reader(csvfile, delimiter=",", quotechar="|")
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data = []
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for row in datareader:
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res = [float(i) for i in row]
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data.append(res)
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data = np.array(data)
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return data
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def plot_UI(data):
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plt.scatter(data[:, 1][0:23], data[:, 0][0:23], color="g")
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plt.scatter(data[:, 1][23:len(data)], data[:, 0]
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[23:len(data)], color="orange")
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plt.xticks(np.arange(min(data[:, 1])-0.25, max(data[:, 1])+0.25, 0.25))
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plt.yticks(np.arange(min(data[:, 0])-1, max(data[:, 0])+1, 1))
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A = np.vstack([data[:, 1][5:12], np.ones(len(data[:, 1][5:12]))]).T
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alpha = np.dot((np.dot(np.linalg.inv(np.dot(A.T, A)), A.T)),
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data[:, 0][5:12])
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var = str(round(alpha[1]*10**3))
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delta = str(abs(round(alpha[0]*10**3)))
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print("Максимальное дифференциальное сопротивление разряда: {}".format(
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var) + u" \u00B1 " + "{}, Ом".format(delta))
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plt.plot(data[:, 1][5:12], alpha[0]*data[:, 1][5:12]+alpha[1], 'r')
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plt.ylabel('U, В', fontsize=20)
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plt.xlabel('I, мкА', fontsize=20)
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plt.grid()
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plt.savefig('U(I).png')
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plt.show()
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def centre(data):
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xdiff = [data[n]-data[n-1] for n in range(1, len(data))]
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return sum(xdiff)/2
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def bfl(data):
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line = np.polyfit(data[:, 0], data[:, 1], 1)
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return line
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def plot_UIs(data, num):
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ax = plt.gca()
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ax.spines['top'].set_color('none')
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ax.spines['left'].set_position('zero')
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ax.spines['right'].set_color('none')
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ax.spines['bottom'].set_position('zero')
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plt.scatter(data[:, 0], data[:, 1], color="g",
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marker="+", s=100) # Make a scatter plot
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data = np.array(sorted(data, key=lambda x: x[0], reverse=True))
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line1 = bfl(data[len(data)-5:len(data)])
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line2 = bfl(data[0:5])
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aprox = bfl(data[4:len(data)-5])
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x1 = (line1[1]-aprox[1])/(aprox[0]-line1[0])
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y1 = line1[0]*x1+line1[1]
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plt.plot(x1, y1, marker='+', color='red')
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x2 = (line2[1]-aprox[1])/(aprox[0]-line2[0])
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y2 = line2[0]*x2+line2[1]
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plt.plot(x2, y2, marker='+', color='red')
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plt.plot((data[:, 0][len(data)-5:len(data)]), (data[:, 0]
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[len(data)-5:len(data)]*line1[0]+line1[1]), color="orange")
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plt.plot([x1, 0], [y1, line1[1]], linestyle="dashed", color="orange",
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label='Ток насыщения: ' + str(round(line1[1], 2)) + ' ,А')
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plt.plot(data[:, 0][0:5], data[:, 0]
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[0:5]*line2[0]+line2[1], color="orange")
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plt.plot([x2, 0], [y2, line2[1]], linestyle="dashed", color="orange",
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label='Ток насыщения: ' + str(round(line2[1], 3)) + ' ,А')
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S = sp.pi*0.2*10**-4*5.2*10**-4
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me = 22*1.66*10**-27
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Te = x2/2*11400
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ni = line2[1]/0.4/sp.e/S/np.sqrt(2*sp.k*Te/me)/10**14
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wp = np.sqrt(4*np.pi*ni*sp.e**2/me)*10**10
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rde = np.sqrt(sp.k*Te/4/sp.pi/ni/sp.e**2)*10**-5
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rd = np.sqrt(sp.k*300/4/sp.pi/ni/sp.e**2)
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Nd = 4/3*sp.pi*rd**3*ni
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print("-----Exp{}-----".format(num))
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print("Ток насыщения: {},{}".format(
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round(line1[1], 3), round(line2[1], 3)))
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print("Te = {}".format(Te ))
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print("Ni = {}".format(ni))
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print("wp = {}".format(wp))
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print("rde = {}".format(rde))
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print("rd = {}".format(rd))
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print("Nd = {}".format(Nd))
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print("---------------")
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plt.xlabel('U, В', fontsize=20)
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plt.ylabel('I, мкА', fontsize=20)
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plt.grid()
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ax.legend()
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plt.savefig(num + '.png')
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plt.show()
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return plt
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def plotAll(plot1, plot2, plot3):
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return True
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if __name__ == "__main__":
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main()
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