#!/usr/bin/env python
# Lucky Lensing Library (http://github.com/smarnach/luckylensing)
# Copyright 2010 Sven Marnach
import sys
sys.path.append("..")
from luckylensing import rayshoot
from imagewriter import save_img
for i in range(120):
lenses = [(0., 0., 1.), (0.8 + i*0.005, 0., .0025)]
region = (-.4, -.25, .6, .25)
magpat = rayshoot(lenses, region, 1024, 512, num_threads=2)
save_img(magpat, "magpats/planet-%03i.png" % i,
min_mag=3.0, max_mag=3000.0)
#!/usr/bin/env python
# Lucky Lensing Library (http://github.com/smarnach/luckylensing)
# Copyright 2010 Sven Marnach
import sys
sys.path.append("..")
from luckylensing import rayshoot
from imagewriter import save_img
for i in range(120):
lenses = [(0., 0., 1.), (0.8 + i * 0.005, 0., .0025)]
region = (-.4, -.25, .6, .25)
magpat = rayshoot(lenses, region, 1024, 512, num_threads=2)
save_img(magpat,
"magpats/planet-%03i.png" % i,
min_mag=3.0,
max_mag=3000.0)
from PIL import Image
import numpy
# Parameters to control the output ####
x_values = 0.6 + 0.1*numpy.arange(12)
mass_values = 1. / 10.**(0.5*numpy.arange(7))
region = (-0.5, -1.0, 1.5, 1.0)
xpixels = ypixels = 256
margin = 8
imgfile = "magpats/binary.png"
#######################################
shape = (len(mass_values) * (ypixels + 2 * margin),
len(x_values) * (ypixels + 2 * margin), 3)
buf = numpy.zeros(shape, numpy.uint8)
for j, mass in enumerate(mass_values):
for i, x in enumerate(x_values):
print("Ray shooting for mass ratio %.2e and distance %.2f" % (mass, x))
sys.stdout.write("\033[F") # Cursor up one line
lenses = [(0.0, 0.0, 1.0), (x, 0.0, mass)]
magpat = rayshoot(lenses, region, xpixels, ypixels,
density=1000, num_threads=2, verbose=0)
j0 = j * (ypixels + 2 * margin)
i0 = i * (xpixels + 2 * margin)
buf[j0:j0+ypixels, i0:i0+xpixels] = magpat.render_gradient(
min_mag=1.0, max_mag=120.0)
sys.stdout.write("\033[K") # Clear to the end of line
print("Writing magnification patterns to", imgfile)
Image.fromarray(buf).save(imgfile)
print("Done.")
region = (-0.5, -1.0, 1.5, 1.0)
xpixels = ypixels = 256
margin = 8
imgfile = "magpats/binary.png"
#######################################
shape = (len(mass_values) * (ypixels + 2 * margin),
len(x_values) * (ypixels + 2 * margin), 3)
buf = numpy.zeros(shape, numpy.uint8)
for j, mass in enumerate(mass_values):
for i, x in enumerate(x_values):
print("Ray shooting for mass ratio %.2e and distance %.2f" % (mass, x))
sys.stdout.write("\033[F") # Cursor up one line
lenses = [(0.0, 0.0, 1.0), (x, 0.0, mass)]
magpat = rayshoot(lenses,
region,
xpixels,
ypixels,
density=1000,
num_threads=2,
verbose=0)
j0 = j * (ypixels + 2 * margin)
i0 = i * (xpixels + 2 * margin)
buf[j0:j0 + ypixels,
i0:i0 + xpixels] = magpat.render_gradient(min_mag=1.0,
max_mag=120.0)
sys.stdout.write("\033[K") # Clear to the end of line
print("Writing magnification patterns to", imgfile)
Image.fromarray(buf).save(imgfile)
print("Done.")