from math import * import numpy as np from scipy.integrate import solve_ivp import matplotlib.pyplot as plt def part1(radFactor, orbits): #Part one Diffeq def f_part1(t, state, Me, Mm, G): xm, ym, vx, vy = state dvxdt = -(Me*G*xm)/((xm**2+ym**2)**(3/2)) dxmdt = vx dvydt = -(Me*G*ym)/((xm**2+ym**2)**(3/2)) dymdt = vy return (dxmdt, dymdt, dvxdt, dvydt) # Initial Conditions Me = 5.97*(10**24) Mm = 7.35*(10**22) G = 6.67*(10**-11) t_min = 0 t_max = 2360620*int(orbits) numpoints = 2000*int(orbits) t = np.linspace(t_min, t_max, numpoints) r = 384400000 v = sqrt((G*Me)/r)*float(radFactor) xm0 = r ym0 = 0 vx0 = 0 vy0 = v rtol = 1e-5 atol = 1e-8 #Solver results = solve_ivp(f_part1, (t_min,t_max), (xm0, ym0, vx0, vy0), args=(Me, Mm, G), t_eval=t, atol=atol, rtol=rtol) #Graph plotting ax=plt.axes() # This creates some axes, so that we ax.set_aspect(1) # can set the aspect ratio to 1 i.e. # x and y axes are scaled equally. ax.set_xlabel("x coordinate (m)") # Must label axes (with ax.set_ylabel("y coordinate (m)") # units) and give ax.set_title("Orbit of moon around earth") # plot title. # ax.plot(results.y[0],results.y[1]) # Make the plot ax.plot(0,0) ax.legend(['Moon']) # and add a key. ax.axhline(y=0, color='k', linewidth=0.5) ax.axvline(x=0, color='k', linewidth=0.5) plt.show() MyInput = '0' while MyInput != 'q': MyInput = input('Enter a choice, "1", "2" or "q" to quit: ') print('You entered the choice: ',MyInput) if MyInput == '1': print('You have chosen part (1): simulation of a lunar orbit') radFactor = input(f'Enter the velocity scalar. A value of 1 will result in a circular orbit, and anything else will give an elliptical orbit: ') orbits = input(f'Enter the approximate number of orbits desired: ') part1(radFactor, orbits) elif MyInput == '2': print('You have chosen part (2): earth-moon-probe system') # # put your code for part (2) here # elif MyInput != 'q': print('This is not a valid choice') print('You have chosen to finish - goodbye.')