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Python-Programs-for-Nonlinear-Dynamics/gravlens.py
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#!/usr/bin/env python3 | |
# -*- coding: utf-8 -*- | |
""" | |
Created on Tue May 28 11:50:24 2019 | |
@author: nolte | |
Introduction to Modern Dynamics, 2nd edition (Oxford University Press, 2019) | |
Gravitational lensing and photon orbits | |
""" | |
import numpy as np | |
import matplotlib as mpl | |
from mpl_toolkits.mplot3d import Axes3D | |
from scipy import integrate | |
from matplotlib import pyplot as plt | |
from matplotlib import cm | |
import time | |
import os | |
plt.close('all') | |
def create_circle(): | |
circle = plt.Circle((0,0), radius= 10, color = 'black') | |
return circle | |
def show_shape(patch): | |
ax=plt.gca() | |
ax.add_patch(patch) | |
plt.axis('scaled') | |
plt.show() | |
def refindex(x,y): | |
A = 10 | |
eps = 1e-6 | |
rp0 = np.sqrt(x**2 + y**2); | |
n = 1/(1 - A/(rp0+eps)) | |
fac = np.abs((1-9*(A/rp0)**2/8)) # approx correction to Eikonal | |
nx = -fac*n**2*A*x/(rp0+eps)**3 | |
ny = -fac*n**2*A*y/(rp0+eps)**3 | |
return [n,nx,ny] | |
def flow_deriv(x_y_z,tspan): | |
x, y, z, w = x_y_z | |
[n,nx,ny] = refindex(x,y) | |
yp = np.zeros(shape=(4,)) | |
yp[0] = z/n | |
yp[1] = w/n | |
yp[2] = nx | |
yp[3] = ny | |
return yp | |
for loop in range(-5,30): | |
xstart = -100 | |
ystart = -2.245 + 4*loop | |
print(ystart) | |
[n,nx,ny] = refindex(xstart,ystart) | |
y0 = [xstart, ystart, n, 0] | |
tspan = np.linspace(1,400,2000) | |
y = integrate.odeint(flow_deriv, y0, tspan) | |
xx = y[1:2000,0] | |
yy = y[1:2000,1] | |
plt.figure(1) | |
lines = plt.plot(xx,yy) | |
plt.setp(lines, linewidth=1) | |
plt.show() | |
plt.title('Photon Orbits') | |
c = create_circle() | |
show_shape(c) | |
axes = plt.gca() | |
axes.set_xlim([-100,100]) | |
axes.set_ylim([-100,100]) | |
xstart = 0 | |
ystart = 15 | |
[n,nx,ny] = refindex(xstart,ystart) | |
y0 = [xstart, ystart, n, 0] | |
tspan = np.linspace(1,94,1000) | |
y = integrate.odeint(flow_deriv, y0, tspan) | |
xx = y[1:1000,0] | |
yy = y[1:1000,1] | |
plt.figure(1) | |
lines = plt.plot(xx,yy) | |
plt.setp(lines, linewidth=2, color = 'black') | |
plt.show() |