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test_phase_psf.py
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test_phase_psf.py
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# Copyright (c) 2012-2018 by the GalSim developers team on GitHub
# https://github.com/GalSim-developers
#
# This file is part of GalSim: The modular galaxy image simulation toolkit.
# https://github.com/GalSim-developers/GalSim
#
# GalSim is free software: redistribution and use in source and binary forms,
# with or without modification, are permitted provided that the following
# conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions, and the disclaimer given in the accompanying LICENSE
# file.
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions, and the disclaimer given in the documentation
# and/or other materials provided with the distribution.
#
from __future__ import print_function
import os
import numpy as np
import galsim
from galsim_test_helpers import *
imgdir = os.path.join(".", "Optics_comparison_images") # Directory containing the reference images.
pp_file = 'sample_pupil_rolled.fits'
theta0 = (0*galsim.arcmin, 0*galsim.arcmin)
@timer
def test_aperture():
"""Test various ways to construct Apertures."""
# Simple tests for constructing and pickling Apertures.
aper1 = galsim.Aperture(diam=1.7)
im = galsim.fits.read(os.path.join(imgdir, pp_file))
aper2 = galsim.Aperture(diam=1.7, pupil_plane_im=im)
aper3 = galsim.Aperture(diam=1.7, nstruts=4, gsparams=galsim.GSParams(maximum_fft_size=4096))
do_pickle(aper1)
do_pickle(aper2)
do_pickle(aper3)
# Automatically created Aperture should match one created via OpticalScreen
aper1 = galsim.Aperture(diam=1.7)
aper2 = galsim.Aperture(diam=1.7, lam=500, screen_list=[galsim.OpticalScreen(diam=1.7)])
err_str = ("Aperture created implicitly using Airy does not match Aperture created using "
"OpticalScreen.")
assert aper1 == aper2, err_str
assert_raises(ValueError, galsim.Aperture, 1.7, obscuration=-0.3)
assert_raises(ValueError, galsim.Aperture, 1.7, obscuration=1.1)
assert_raises(ValueError, galsim.Aperture, -1.7)
assert_raises(ValueError, galsim.Aperture, 0)
assert_raises(ValueError, galsim.Aperture, 1.7, pupil_plane_im=im, circular_pupil=False)
assert_raises(ValueError, galsim.Aperture, 1.7, pupil_plane_im=im, nstruts=2)
assert_raises(ValueError, galsim.Aperture, 1.7, pupil_plane_im=im, strut_thick=0.01)
assert_raises(ValueError, galsim.Aperture, 1.7, pupil_plane_im=im, strut_angle=5*galsim.degrees)
assert_raises(ValueError, galsim.Aperture, 1.7, pupil_plane_im=im, strut_angle=5*galsim.degrees)
assert_raises(ValueError, galsim.Aperture, 1.7, screen_list=[galsim.OpticalScreen(diam=1)])
assert_raises(TypeError, galsim.Aperture, 1.7, nstruts=4, strut_angle=5)
assert_raises(TypeError, galsim.Aperture, 1.7, pupil_plane_im=im, pupil_angle=5)
# rho is a convenience property that can be useful when debugging, but isn't used in the
# main code base.
np.testing.assert_almost_equal(aper1.rho, aper1.u * 2./1.7 + 1j * aper1.v * 2./1.7)
# Some other functions that aren't used by anything anymore, but were useful in development.
for lam in [300, 550, 1200]:
stepk = aper1._getStepK(lam=lam)
maxk = aper1._getMaxK(lam=lam)
scale = aper1._sky_scale(lam=lam)
size = aper1._sky_size(lam=lam)
np.testing.assert_almost_equal(stepk, 2.*np.pi/size)
np.testing.assert_almost_equal(maxk, np.pi/scale)
# If the constructed pupil plane would be too large, raise an error
with assert_raises(galsim.GalSimFFTSizeError):
ap = galsim.Aperture(1.7, pupil_plane_scale=1.e-4)
ap._illuminated # Only triggers once we force it to build the illuminated array
# Similar if the given image is too large.
# Here, we change gsparams.maximum_fft_size, rather than build a really large image to load.
with assert_raises(galsim.GalSimFFTSizeError):
ap = galsim.Aperture(1.7, pupil_plane_im=im, gsparams=galsim.GSParams(maximum_fft_size=64))
ap._illuminated
# Other choices just give warnings about pupil scale or size being inappropriate
with assert_warns(galsim.GalSimWarning):
ap = galsim.Aperture(diam=1.7, pupil_plane_size=3, pupil_plane_scale=0.03)
ap._illuminated
im.wcs = None # Otherwise get an error.
with assert_warns(galsim.GalSimWarning):
ap = galsim.Aperture(diam=1.7, pupil_plane_im=im, pupil_plane_scale=0.03)
ap._illuminated
@timer
def test_atm_screen_size():
"""Test for consistent AtmosphericScreen size and scale."""
screen_size = 10.0
screen_scale = 0.1
atm = galsim.AtmosphericScreen(screen_size=screen_size, screen_scale=screen_scale)
# AtmosphericScreen will preserve screen_scale, but will adjust screen_size as necessary to get
# a good FFT size.
assert atm.screen_scale == screen_scale
assert screen_size < atm.screen_size < 1.5*screen_size
np.testing.assert_equal(atm.screen_size, atm.npix * atm.screen_scale,
"Inconsistent atmospheric screen size and scale.")
@timer
def test_structure_function():
"""Test that AtmosphericScreen generates the right structure function.
"""
if __name__ == '__main__':
L0s = [10.0, 25.0, 100.0]
screen_size = 300.0
else:
L0s = [10.0]
screen_size = 100.0
rng = galsim.BaseDeviate(4815162342)
lam = 500.0
r0_500 = 0.2
screen_scale = 0.05
for L0 in L0s:
screen = galsim.AtmosphericScreen(screen_size=screen_size, screen_scale=screen_scale,
r0_500=r0_500, L0=L0, rng=rng)
screen.instantiate()
vk = galsim.VonKarman(lam=lam, r0=r0_500*(lam/500.0)**1.2, L0=L0)
phase = screen._tab2d.getVals()[:-1, :-1] * 2 * np.pi / 500.0 # nm -> radians
var = np.var(phase)
# Conan 2008 eq 16
# 0.0863 ~= Gamma(11/6) Gamma(5/6) / (2 pi^(8/3)) (24/5 Gamma(6/5))^(5/6)
expected_var = 0.0863 * (r0_500/L0)**(-5/3.)
np.testing.assert_allclose(
var, expected_var, rtol=0.025,
err_msg="Simulated variance disagrees with expected variance.")
im = galsim.Image(phase, scale=screen_scale)
D_sim = galsim.utilities.structure_function(im)
print("r D_VK D_sim")
for r in [0.1, 1.0, 10.0]:
analytic_SF = vk._structure_function(r)
simulated_SF = D_sim(r)
print(r, analytic_SF, simulated_SF)
np.testing.assert_allclose(
analytic_SF, simulated_SF, rtol=0.05,
err_msg="Simulated structure function not close to prediction.")
@timer
def test_phase_screen_list():
"""Test list-like behaviors of PhaseScreenList."""
rng = galsim.BaseDeviate(1234)
rng2 = galsim.BaseDeviate(123)
aper = galsim.Aperture(diam=1.0)
ar1 = galsim.AtmosphericScreen(10, 1, alpha=0.997, L0=None, time_step=0.01, rng=rng)
assert ar1._time == 0.0, "AtmosphericScreen initialized with non-zero time."
do_pickle(ar1)
do_pickle(ar1, func=lambda x: x.wavefront(aper.u, aper.v, 0.0).sum())
do_pickle(ar1, func=lambda x: np.sum(x.wavefront_gradient(aper.u, aper.v, 0.0)))
t = np.empty_like(aper.u)
ud = galsim.UniformDeviate(rng.duplicate())
ud.generate(t.ravel())
t *= 0.1 # Only do a few boiling steps
do_pickle(ar1, func=lambda x: x.wavefront(aper.u, aper.v, t).sum())
do_pickle(ar1, func=lambda x: np.sum(x.wavefront_gradient(aper.u, aper.v, t)))
# Try seeking backwards
assert ar1._time > 0.0
ar1._seek(0.0)
# But not before t=0.0
with assert_raises(ValueError):
ar1._seek(-1.0)
# Check that L0=np.inf and L0=None yield the same thing here too.
ar2 = galsim.AtmosphericScreen(10, 1, alpha=0.997, L0=np.inf, time_step=0.01, rng=rng)
# Before ar2 is instantiated, it's unequal to ar1, even though they were initialized with the
# same arguments (the hashes are the same though). After both have been instantiated with the
# same range of k (ar1 through use of .wavefront() and ar2 explicitly), then they are equal (
# and the hashes are still the same).
assert hash(ar1) == hash(ar2)
assert ar1 != ar2
ar2.instantiate()
assert ar1 == ar2
assert hash(ar1) == hash(ar2)
# Create a couple new screens with different types/parameters
ar2 = galsim.AtmosphericScreen(10, 1, alpha=0.995, time_step=0.015, rng=rng2)
ar2.instantiate()
assert ar1 != ar2
ar3 = galsim.OpticalScreen(diam=1.0, aberrations=[0, 0, 0, 0, 0, 0, 0, 0, 0.1],
obscuration=0.3, annular_zernike=True)
do_pickle(ar3)
do_pickle(ar3, func=lambda x:x.wavefront(aper.u, aper.v).sum())
do_pickle(ar3, func=lambda x:np.sum(x.wavefront_gradient(aper.u, aper.v)))
atm = galsim.Atmosphere(screen_size=30.0,
altitude=[0.0, 1.0],
speed=[1.0, 2.0],
direction=[0.0*galsim.degrees, 120*galsim.degrees],
r0_500=0.15,
rng=rng)
atm.append(ar3)
do_pickle(atm)
do_pickle(atm, func=lambda x:x.wavefront(aper.u, aper.v, 0.0, theta0).sum())
do_pickle(atm, func=lambda x:np.sum(x.wavefront_gradient(aper.u, aper.v, 0.0)))
# testing append, extend, __getitem__, __setitem__, __delitem__, __eq__, __ne__
atm2 = atm[:-1] # Refers to first n-1 screens
assert atm != atm2
# Append a different screen to the end of atm2
atm2.append(ar2)
assert atm != atm2
# Swap the last screen in atm2 for the one that should match atm.
del atm2[-1]
atm2.append(atm[-1])
assert atm == atm2
with assert_raises(TypeError):
atm['invalid']
with assert_raises(IndexError):
atm[3]
# Test building from empty PhaseScreenList
atm3 = galsim.PhaseScreenList()
atm3.extend(atm2)
assert atm == atm3
# Test constructing from existing PhaseScreenList
atm4 = galsim.PhaseScreenList(atm3)
del atm4[-1]
assert atm != atm4
atm4.append(atm[-1])
assert atm == atm4
# Test swap
atm4[0], atm4[1] = atm4[1], atm4[0]
assert atm != atm4
atm4[0], atm4[1] = atm4[1], atm4[0]
assert atm == atm4
wf = atm.wavefront(aper.u, aper.v, None, theta0)
wf2 = atm2.wavefront(aper.u, aper.v, None, theta0)
wf3 = atm3.wavefront(aper.u, aper.v, None, theta0)
wf4 = atm4.wavefront(aper.u, aper.v, None, theta0)
np.testing.assert_array_equal(wf, wf2, "PhaseScreenLists are inconsistent")
np.testing.assert_array_equal(wf, wf3, "PhaseScreenLists are inconsistent")
np.testing.assert_array_equal(wf, wf4, "PhaseScreenLists are inconsistent")
# Check copy
import copy
# Shallow copy copies by reference.
atm5 = copy.copy(atm)
assert atm[0] == atm5[0]
assert atm[0] is atm5[0]
atm._seek(1.0)
assert atm[0]._time == 1.0, "Wrong time for AtmosphericScreen"
assert atm[0] == atm5[0]
assert atm[0] is atm5[0]
# Deepcopy actually makes an indepedent object in memory.
atm5 = copy.deepcopy(atm)
assert atm[0] == atm5[0]
assert atm[0] is not atm5[0]
atm._seek(2.0)
assert atm[0]._time == 2.0, "Wrong time for AtmosphericScreen"
# But we still get equality, since this doesn't depend on mutable internal state:
assert atm[0] == atm5[0]
# Constructor should accept both list and indiv layers as arguments.
atm6 = galsim.PhaseScreenList(atm[0])
atm7 = galsim.PhaseScreenList([atm[0]])
assert atm6 == atm7
do_pickle(atm6, func=lambda x:x.wavefront(aper.u, aper.v, None, theta0).sum())
do_pickle(atm6, func=lambda x:np.sum(x.wavefront_gradient(aper.u, aper.v, 0.0)))
atm6 = galsim.PhaseScreenList(atm[0], atm[1])
atm7 = galsim.PhaseScreenList([atm[0], atm[1]])
atm8 = galsim.PhaseScreenList(atm[0:2]) # Slice returns PhaseScreenList, so this works too.
assert atm6 == atm7
assert atm6 == atm8
# Check some actual derived PSFs too, not just phase screens. Use a small pupil_plane_size and
# relatively large pupil_plane_scale to speed up the unit test.
atm._reset()
assert atm[0]._time == 0.0, "Wrong time for AtmosphericScreen"
kwargs = dict(exptime=0.05, time_step=0.01, diam=1.1, lam=1000.0)
psf = atm.makePSF(**kwargs)
do_pickle(psf)
do_pickle(psf, func=lambda x:x.drawImage(nx=20, ny=20, scale=0.1))
psf2 = atm2.makePSF(**kwargs)
psf3 = atm3.makePSF(**kwargs)
psf4 = atm4.makePSF(**kwargs)
np.testing.assert_array_equal(psf, psf2, "PhaseScreenPSFs are inconsistent")
np.testing.assert_array_equal(psf, psf3, "PhaseScreenPSFs are inconsistent")
np.testing.assert_array_equal(psf, psf4, "PhaseScreenPSFs are inconsistent")
# Check errors in u,v,t shapes.
assert_raises(ValueError, ar1.wavefront, aper.u, aper.v[:-1,:-1])
assert_raises(ValueError, ar1.wavefront, aper.u[:-1,:-1], aper.v)
assert_raises(ValueError, ar1.wavefront, aper.u, aper.v, 0.1 * aper.u[:-1,:-1])
assert_raises(ValueError, ar1.wavefront_gradient, aper.u, aper.v[:-1,:-1])
assert_raises(ValueError, ar1.wavefront_gradient, aper.u[:-1,:-1], aper.v)
assert_raises(ValueError, ar1.wavefront_gradient, aper.u, aper.v, 0.1 * aper.u[:-1,:-1])
assert_raises(ValueError, ar3.wavefront, aper.u, aper.v[:-1,:-1])
assert_raises(ValueError, ar3.wavefront, aper.u[:-1,:-1], aper.v)
assert_raises(ValueError, ar3.wavefront_gradient, aper.u, aper.v[:-1,:-1])
assert_raises(ValueError, ar3.wavefront_gradient, aper.u[:-1,:-1], aper.v)
@timer
def test_frozen_flow():
"""Test that frozen flow screen really is frozen, i.e., phase(x=0, t=0) == phase(x=v*t, t=t)."""
rng = galsim.BaseDeviate(1234)
vx = 1.0 # m/s
t = 0.05 # s
x = vx*t # 0.05 m
dx = x
alt = x/1000 # -> 0.00005 km; silly example, but yields exact results...
screen = galsim.AtmosphericScreen(1.0, dx, alt, vx=vx, rng=rng)
aper = galsim.Aperture(diam=1, pupil_plane_size=20., pupil_plane_scale=20./dx)
with assert_warns(galsim.GalSimWarning):
# Warns about scale being too large, which we do on purpose to make the test faster.
wf0 = screen.wavefront(aper.u, aper.v, None, theta0)
dwdu0, dwdv0 = screen.wavefront_gradient(aper.u, aper.v, t=screen._time)
screen._seek(t)
assert screen._time == t, "Wrong time for AtmosphericScreen"
wf1 = screen.wavefront(aper.u, aper.v, None, theta=(45*galsim.degrees, 0*galsim.degrees))
dwdu1, dwdv1 = screen.wavefront_gradient(aper.u, aper.v, t=screen._time,
theta=(45*galsim.degrees, 0*galsim.degrees))
np.testing.assert_array_almost_equal(wf0, wf1, 5, "Flow is not frozen")
np.testing.assert_array_almost_equal(dwdu0, dwdu1, 5, "Flow is not frozen")
np.testing.assert_array_almost_equal(dwdu0, dwdu1, 5, "Flow is not frozen")
# We should be able to rewind too.
screen._seek(0.01)
np.testing.assert_allclose(screen._time, 0.01, err_msg="Wrong time for AtmosphericScreen")
wf2 = screen.wavefront(aper.u, aper.v, 0.0)
np.testing.assert_array_almost_equal(wf0, wf2, 5, "Flow is not frozen")
@timer
def test_phase_psf_reset():
"""Test that phase screen reset() method correctly resets the screen to t=0."""
rng = galsim.BaseDeviate(1234)
# Test frozen AtmosphericScreen first
atm = galsim.Atmosphere(screen_size=30.0, altitude=10.0, speed=0.1, alpha=1.0, rng=rng)
aper = galsim.Aperture(diam=1.0, lam=500.0)
wf2 = atm.wavefront(aper.u, aper.v, 0.0, theta0)
wf1 = atm._wavefront(aper.u, aper.v, None, theta0)
assert np.all(wf1 == wf2)
atm._seek(1.0)
wf4 = atm.wavefront(aper.u, aper.v, 1.0, theta0)
wf3 = atm._wavefront(aper.u, aper.v, None, theta0)
assert np.all(wf3 == wf4)
# Verify that atmosphere did advance
assert not np.all(wf1 == wf3)
# Now verify that reset brings back original atmosphere
atm._reset()
wf3 = atm._wavefront(aper.u, aper.v, None, theta0)
np.testing.assert_array_equal(wf1, wf3, "Phase screen didn't reset")
# Now check with boiling, but no wind.
atm = galsim.Atmosphere(screen_size=30.0, altitude=10.0, alpha=0.997, time_step=0.01, rng=rng)
atm.instantiate()
wf1 = atm._wavefront(aper.u, aper.v, None, theta0)
atm._seek(0.1)
wf2 = atm._wavefront(aper.u, aper.v, None, theta0)
# Verify that atmosphere did advance
assert not np.all(wf1 == wf2)
# Now verify that reset brings back original atmosphere
atm._reset()
wf3 = atm._wavefront(aper.u, aper.v, None, theta0)
np.testing.assert_array_equal(wf1, wf3, "Phase screen didn't reset")
@timer
def test_phase_psf_batch():
"""Test that PSFs generated and drawn serially match those generated and drawn in batch."""
import time
NPSFs = 10
exptime = 0.3
rng = galsim.BaseDeviate(1234)
atm = galsim.Atmosphere(screen_size=10.0, altitude=10.0, alpha=0.997, time_step=0.01, rng=rng)
theta = [(i*galsim.arcsec, i*galsim.arcsec) for i in range(NPSFs)]
kwargs = dict(lam=1000.0, exptime=exptime, diam=1.0)
t1 = time.time()
psfs = [atm.makePSF(theta=th, **kwargs) for th in theta]
imgs = [psf.drawImage() for psf in psfs]
print('time for {0} PSFs in batch: {1:.2f} s'.format(NPSFs, time.time() - t1))
t2 = time.time()
more_imgs = []
for th in theta:
psf = atm.makePSF(theta=th, **kwargs)
more_imgs.append(psf.drawImage())
print('time for {0} PSFs in serial: {1:.2f} s'.format(NPSFs, time.time() - t2))
for img1, img2 in zip(imgs, more_imgs):
np.testing.assert_array_equal(
img1, img2,
"Individually generated AtmosphericPSF differs from AtmosphericPSF generated in batch")
@timer
def test_opt_indiv_aberrations():
"""Test that aberrations specified by name match those specified in `aberrations` list."""
screen1 = galsim.OpticalScreen(diam=4.0, tip=0.2, tilt=0.3, defocus=0.4, astig1=0.5, astig2=0.6,
coma1=0.7, coma2=0.8, trefoil1=0.9, trefoil2=1.0, spher=1.1)
screen2 = galsim.OpticalScreen(diam=4.0, aberrations=[0.0, 0.0, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7,
0.8, 0.9, 1.0, 1.1])
psf1 = galsim.PhaseScreenList(screen1).makePSF(diam=4.0, lam=500.0)
psf2 = galsim.PhaseScreenList(screen2).makePSF(diam=4.0, lam=500.0)
np.testing.assert_array_equal(
psf1._img, psf2._img,
"Individually specified aberrations differs from aberrations specified as list.")
@timer
def test_scale_unit():
"""Test that `scale_unit` keyword correctly sets the units for PhaseScreenPSF."""
aper = galsim.Aperture(diam=1.0)
rng = galsim.BaseDeviate(1234)
# Test frozen AtmosphericScreen first
atm = galsim.Atmosphere(screen_size=30.0, altitude=10.0, speed=0.1, alpha=1.0, rng=rng)
psf = galsim.PhaseScreenPSF(atm, 500.0, aper=aper, scale_unit=galsim.arcsec)
im1 = psf.drawImage(nx=32, ny=32, scale=0.1, method='no_pixel')
psf2 = galsim.PhaseScreenPSF(atm, 500.0, aper=aper, scale_unit='arcmin')
im2 = psf2.drawImage(nx=32, ny=32, scale=0.1/60.0, method='no_pixel')
np.testing.assert_almost_equal(
im1.array, im2.array, 8,
'PhaseScreenPSF inconsistent use of scale_unit')
opt_psf1 = galsim.OpticalPSF(lam=500.0, diam=1.0, scale_unit=galsim.arcsec)
opt_psf2 = galsim.OpticalPSF(lam=500.0, diam=1.0, scale_unit='arcsec')
assert opt_psf1 == opt_psf2, "scale unit did not parse as string"
assert_raises(ValueError, galsim.OpticalPSF, lam=500.0, diam=1.0, scale_unit='invalid')
assert_raises(ValueError, galsim.PhaseScreenPSF, atm, 500.0, aper=aper, scale_unit='invalid')
# Check a few other construction errors now too.
assert_raises(ValueError, galsim.PhaseScreenPSF, atm, 500.0, scale_unit='arcmin')
assert_raises(TypeError, galsim.PhaseScreenPSF, atm, 500.0, aper=aper, theta=34.*galsim.degrees)
assert_raises(TypeError, galsim.PhaseScreenPSF, atm, 500.0, aper=aper, theta=(34, 5))
assert_raises(ValueError, galsim.PhaseScreenPSF, atm, 500.0, aper=aper, exptime=-1)
@timer
def test_stepk_maxk():
"""Test options to specify (or not) stepk and maxk.
"""
# Make a dummy Kolmogorov just in case this test is the first to do so. Don't want the
# building of the KolmogorovInfo lookup table to mess up the timing test.
kolm = galsim.Kolmogorov(fwhm=2)
kolm._sbp
import time
aper = galsim.Aperture(diam=1.0)
rng = galsim.BaseDeviate(123456)
# Test frozen AtmosphericScreen first
atm = galsim.Atmosphere(screen_size=30.0, altitude=10.0, speed=0.1, alpha=1.0, rng=rng)
psf = galsim.PhaseScreenPSF(atm, 500.0, aper=aper, scale_unit=galsim.arcsec)
t0 = time.time()
stepk1 = psf.stepk
maxk1 = psf.maxk
t1 = time.time()
print('stepk1 = ',stepk1)
print('maxk1 = ',maxk1)
print('t1 = ',t1-t0)
psf._prepareDraw()
stepk2 = psf.stepk
maxk2 = psf.maxk
t2 = time.time()
print('stepk2 = ',stepk2)
print('maxk2 = ',maxk2)
print('goodImageSize = ',psf.getGoodImageSize(0.2))
print('t2 = ',t2-t1)
np.testing.assert_allclose(stepk1, stepk2, rtol=0.05)
np.testing.assert_allclose(maxk1, maxk2, rtol=0.05)
# Also make sure that prepareDraw wasn't called to calculate the first one.
# Should be very quick to do the first stepk, maxk, but slow to do the second.
assert t1-t0 < t2-t1
# Check that stepk changes when gsparams.folding_threshold become more extreme.
# (Note: maxk is independent of maxk_threshold because of the hard edge of the aperture.)
gsp = galsim.GSParams(folding_threshold=1.e-3, maxk_threshold=1.e-4)
psf1 = galsim.PhaseScreenPSF(atm, 500.0, diam=1.0, scale_unit=galsim.arcsec, gsparams=gsp)
stepk3 = psf1.stepk
maxk3 = psf1.maxk
print('stepk3 = ',stepk3)
print('maxk3 = ',maxk3)
print('goodImageSize = ',psf1.getGoodImageSize(0.2))
assert stepk3 < stepk1
assert maxk3 == maxk1
psf2 = psf.withGSParams(gsp)
assert psf2.gsparams == gsp
assert psf2 != psf
assert psf2 == psf1
assert psf2.aper.gsparams == gsp
assert psf.aper.gsparams != gsp
aper3 = galsim.Aperture(diam=1.0, gsparams=gsp)
psf3 = galsim.PhaseScreenPSF(atm, 500.0, aper=aper3, scale_unit=galsim.arcsec)
assert psf3.gsparams == gsp
assert psf3 != psf
assert psf3 == psf1
# Check that it respects the force_stepk and force_maxk parameters
psf2 = galsim.PhaseScreenPSF(atm, 500.0, aper=aper, scale_unit=galsim.arcsec,
_force_stepk=stepk2/1.5, _force_maxk=maxk2*2.0)
np.testing.assert_almost_equal(
psf2.stepk, stepk2/1.5, decimal=7,
err_msg="PhaseScreenPSF did not adopt forced value for stepk")
np.testing.assert_almost_equal(
psf2.maxk, maxk2*2.0, decimal=7,
err_msg="PhaseScreenPSF did not adopt forced value for maxk")
do_pickle(psf)
do_pickle(psf2)
# Try out non-geometric-shooting
psf3 = atm.makePSF(lam=500.0, aper=aper, geometric_shooting=False)
img = galsim.Image(32, 32, scale=0.2)
do_shoot(psf3, img, "PhaseScreenPSF")
# Also make sure a few other methods at least run
psf3.centroid
psf3.max_sb
# If we force stepk very low, it will trigger a warning when we try to draw it.
psf4 = galsim.PhaseScreenPSF(atm, 500.0, aper=aper, scale_unit=galsim.arcsec,
_force_stepk=stepk2/3.5)
with assert_warns(galsim.GalSimWarning):
psf4._prepareDraw()
psf4._ii # Don't need to actually draw it. Just access this attribute.
# Can suppress this warning if desired.
psf5 = galsim.PhaseScreenPSF(atm, 500.0, aper=aper, scale_unit=galsim.arcsec,
_force_stepk=stepk2/3.5, suppress_warning=True)
with assert_raises(AssertionError):
with assert_warns(galsim.GalSimWarning):
psf5._prepareDraw()
@timer
def test_ne():
"""Test Apertures, PhaseScreens, PhaseScreenLists, and PhaseScreenPSFs for not-equals."""
pupil_plane_im = galsim.fits.read(os.path.join(imgdir, pp_file))
# Test galsim.Aperture __ne__
objs = [galsim.Aperture(diam=1.0),
galsim.Aperture(diam=1.1),
galsim.Aperture(diam=1.0, oversampling=1.5),
galsim.Aperture(diam=1.0, pad_factor=1.5),
galsim.Aperture(diam=1.0, circular_pupil=False),
galsim.Aperture(diam=1.0, obscuration=0.3),
galsim.Aperture(diam=1.0, nstruts=3),
galsim.Aperture(diam=1.0, nstruts=3, strut_thick=0.2),
galsim.Aperture(diam=1.0, nstruts=3, strut_angle=15*galsim.degrees),
galsim.Aperture(diam=1.0, pupil_plane_im=pupil_plane_im),
galsim.Aperture(diam=1.0, pupil_plane_im=pupil_plane_im,
pupil_angle=10.0*galsim.degrees)]
all_obj_diff(objs)
# Test AtmosphericScreen __ne__
rng = galsim.BaseDeviate(1)
objs = [galsim.AtmosphericScreen(10.0, rng=rng),
galsim.AtmosphericScreen(1.0, rng=rng),
galsim.AtmosphericScreen(10.0, rng=rng, vx=1.0),
galsim.AtmosphericScreen(10.0, rng=rng, vy=1.0),
galsim.AtmosphericScreen(10.0, rng=rng, alpha=0.999, time_step=0.01),
galsim.AtmosphericScreen(10.0, rng=rng, altitude=1.0),
galsim.AtmosphericScreen(10.0, rng=rng, alpha=0.999, time_step=0.02),
galsim.AtmosphericScreen(10.0, rng=rng, alpha=0.998, time_step=0.02),
galsim.AtmosphericScreen(10.0, rng=rng, r0_500=0.1),
galsim.AtmosphericScreen(10.0, rng=rng, L0=10.0),
galsim.AtmosphericScreen(10.0, rng=rng, vx=10.0),
]
all_obj_diff(objs)
objs.append(galsim.AtmosphericScreen(10.0, rng=rng))
objs[-1].instantiate()
# Should still all be __ne__, but first and last will have the same hash this time.
assert hash(objs[0]) == hash(objs[-1])
all_obj_diff(objs, check_hash=False)
# Test OpticalScreen __ne__
objs = [galsim.OpticalScreen(diam=1.0),
galsim.OpticalScreen(diam=1.0, tip=1.0),
galsim.OpticalScreen(diam=1.0, tilt=1.0),
galsim.OpticalScreen(diam=1.0, defocus=1.0),
galsim.OpticalScreen(diam=1.0, astig1=1.0),
galsim.OpticalScreen(diam=1.0, astig2=1.0),
galsim.OpticalScreen(diam=1.0, coma1=1.0),
galsim.OpticalScreen(diam=1.0, coma2=1.0),
galsim.OpticalScreen(diam=1.0, trefoil1=1.0),
galsim.OpticalScreen(diam=1.0, trefoil2=1.0),
galsim.OpticalScreen(diam=1.0, spher=1.0),
galsim.OpticalScreen(diam=1.0, spher=1.0, lam_0=100.0),
galsim.OpticalScreen(diam=1.0, aberrations=[0,0,1.1]), # tip=1.1
]
all_obj_diff(objs)
# Test PhaseScreenList __ne__
atm = galsim.Atmosphere(10.0, vx=1.0)
objs = [galsim.PhaseScreenList(atm),
galsim.PhaseScreenList(objs), # Reuse list of OpticalScreens above
galsim.PhaseScreenList(objs[0:2])]
all_obj_diff(objs)
# Test PhaseScreenPSF __ne__
psl = galsim.PhaseScreenList(atm)
objs = [galsim.PhaseScreenPSF(psl, 500.0, exptime=0.03, diam=1.0)]
objs += [galsim.PhaseScreenPSF(psl, 700.0, exptime=0.03, diam=1.0)]
objs += [galsim.PhaseScreenPSF(psl, 700.0, exptime=0.03, diam=1.1)]
objs += [galsim.PhaseScreenPSF(psl, 700.0, exptime=0.03, diam=1.0, flux=1.1)]
objs += [galsim.PhaseScreenPSF(psl, 700.0, exptime=0.03, diam=1.0, interpolant='linear')]
stepk = objs[0].stepk
maxk = objs[0].maxk
objs += [galsim.PhaseScreenPSF(psl, 700.0, exptime=0.03, diam=1.0, _force_stepk=stepk/1.5)]
objs += [galsim.PhaseScreenPSF(psl, 700.0, exptime=0.03, diam=1.0, _force_maxk=maxk*2.0)]
all_obj_diff(objs)
@timer
def test_phase_gradient_shoot():
"""Test that photon-shooting PSFs match Fourier optics PSFs when using the same phase screens,
and also match the expected size from an analytic VonKarman-convolved-with-Airy PSF.
"""
# Make the atmosphere
seed = 12345
r0_500 = 0.15 # m
L0 = 20.0 # m
nlayers = 6
screen_size = 102.4 # m
# Ideally, we'd use as small a screen scale as possible here. The runtime for generating
# phase screens scales like `screen_scale`^-2 though, which is pretty steep, so we use a larger-
# than-desireable scale for the __name__ != '__main__' branch. This is known to lead to a bias
# in PSF size, which we attempt to account for below when actually comparing FFT PSF moments to
# photon-shooting PSF moments. Note that we don't need to apply such a correction when
# comparing the photon-shooting PSF to the analytic VonKarman PSF since these both avoid the
# screen_scale problem to begin with. (Even though we do generate screens for the
# photon-shooting PSF, because we truncate the power spectrum above kcrit, we don't require as
# high of resolution).
if __name__ == '__main__':
screen_scale = 0.025 # m
else:
screen_scale = 0.1 # m
max_speed = 20 # m/s
rng = galsim.BaseDeviate(seed)
u = galsim.UniformDeviate(rng)
# Use atmospheric weights from 1998 Gemini site selection process as something reasonably
# realistic. (Ellerbroek 2002, JOSA Vol 19 No 9).
Ellerbroek_alts = [0.0, 2.58, 5.16, 7.73, 12.89, 15.46] # km
Ellerbroek_weights = [0.652, 0.172, 0.055, 0.025, 0.074, 0.022]
Ellerbroek_interp = galsim.LookupTable(
Ellerbroek_alts,
Ellerbroek_weights,
interpolant='linear')
alts = np.max(Ellerbroek_alts)*np.arange(nlayers)/(nlayers-1)
weights = Ellerbroek_interp(alts)
weights /= sum(weights)
spd = [] # Wind speed in m/s
dirn = [] # Wind direction in radians
r0_500s = [] # Fried parameter in m at a wavelength of 500 nm.
for i in range(nlayers):
spd.append(u()*max_speed)
dirn.append(u()*360*galsim.degrees)
r0_500s.append(r0_500*weights[i]**(-3./5))
rng2 = rng.duplicate()
atm = galsim.Atmosphere(r0_500=r0_500, L0=L0, speed=spd, direction=dirn, altitude=alts, rng=rng,
screen_size=screen_size, screen_scale=screen_scale)
# Make a second atmosphere to use for geometric photon-shooting
atm2 = galsim.Atmosphere(r0_500=r0_500, L0=L0, speed=spd, direction=dirn, altitude=alts,
rng=rng2, screen_size=screen_size, screen_scale=screen_scale)
# These should be equal at the moment, before we've actually instantiated any screens by drawing
# with them.
assert atm == atm2
lam = 500.0
diam = 4.0
pad_factor = 0.5
oversampling = 0.5
aper = galsim.Aperture(diam=diam, lam=lam,
screen_list=atm, pad_factor=pad_factor,
oversampling=oversampling)
xs = np.empty((10,), dtype=float)
ys = np.empty((10,), dtype=float)
u.generate(xs)
u.generate(ys)
thetas = [(x*galsim.degrees, y*galsim.degrees) for x, y in zip(xs, ys)]
if __name__ == '__main__':
exptime = 15.0
time_step = 0.05
centroid_tolerance = 0.06
size_tolerance = 0.06 # absolute
size_bias = 0.015 # as a fraction
shape_tolerance = 0.01
else:
exptime = 1.0
time_step = 0.1
centroid_tolerance = 0.3
size_tolerance = 0.3
size_bias = 0.15
shape_tolerance = 0.04
psfs = [atm.makePSF(lam, diam=diam, theta=th, exptime=exptime, aper=aper) for th in thetas]
psfs2 = [atm2.makePSF(lam, diam=diam, theta=th, exptime=exptime, aper=aper, time_step=time_step)
for th in thetas]
shoot_moments = []
fft_moments = []
vk = galsim.VonKarman(lam=lam, r0=r0_500*(lam/500)**1.2, L0=L0)
airy = galsim.Airy(lam=lam, diam=diam)
obj = galsim.Convolve(vk, airy)
vkImg = obj.drawImage(nx=48, ny=48, scale=0.05)
vkMom = galsim.hsm.FindAdaptiveMom(vkImg)
for psf, psf2 in zip(psfs, psfs2):
im_shoot = psf.drawImage(nx=48, ny=48, scale=0.05, method='phot', n_photons=100000, rng=rng)
im_fft = psf2.drawImage(nx=48, ny=48, scale=0.05)
# at this point, the atms should be different.
assert atm != atm2
shoot_moment = galsim.hsm.FindAdaptiveMom(im_shoot)
fft_moment = galsim.hsm.FindAdaptiveMom(im_fft)
print()
print()
print()
print(shoot_moment.observed_shape.g1)
print(fft_moment.observed_shape.g1)
# import matplotlib.pyplot as plt
# fig, axes = plt.subplots(ncols=2)
# axes[0].imshow(im_shoot.array)
# axes[1].imshow(im_fft.array)
# plt.show()
np.testing.assert_allclose(
shoot_moment.moments_centroid.x,
fft_moment.moments_centroid.x,
rtol=0, atol=centroid_tolerance,
err_msg='Phase gradient centroid x not close to fft centroid')
np.testing.assert_allclose(
shoot_moment.moments_centroid.y,
fft_moment.moments_centroid.y,
rtol=0, atol=centroid_tolerance,
err_msg='Phase gradient centroid y not close to fft centroid')
print('shoot_moment sigma = ',shoot_moment.moments_sigma)
print('fft_moment sigma = ',fft_moment.moments_sigma)
print('biased fft_moment sigma = ',fft_moment.moments_sigma * (1+size_bias))
np.testing.assert_allclose(
shoot_moment.moments_sigma,
fft_moment.moments_sigma*(1+size_bias),
rtol=0, atol=size_tolerance,
err_msg='Phase gradient sigma not close to fft sigma')
np.testing.assert_allclose(
shoot_moment.moments_sigma,
vkMom.moments_sigma,
rtol=0.1, atol=0,
err_msg='Phase gradient sigma not close to infinite exposure analytic sigma'
)
np.testing.assert_allclose(
shoot_moment.observed_shape.g1,
fft_moment.observed_shape.g1,
rtol=0, atol=shape_tolerance,
err_msg='Phase gradient shape g1 not close to fft shape')
np.testing.assert_allclose(
shoot_moment.observed_shape.g2,
fft_moment.observed_shape.g2,
rtol=0, atol=shape_tolerance,
err_msg='Phase gradient shape g2 not close to fft shape')
shoot_moments.append(shoot_moment)
fft_moments.append(fft_moment)
# I cheated. Here's code to evaluate how small I could potentially set the tolerances above.
# I think they're all fine, but this is admittedly a tad bit backwards.
best_size_bias = np.mean([s1.moments_sigma/s2.moments_sigma
for s1, s2 in zip(shoot_moments, fft_moments)])
print("best_size_bias = ", best_size_bias)
print("xcentroid")
print(max(np.abs([s1.moments_centroid.x - s2.moments_centroid.x
for s1, s2 in zip(shoot_moments, fft_moments)])))
print("ycentroid")
print(max(np.abs([s1.moments_centroid.y - s2.moments_centroid.y
for s1, s2 in zip(shoot_moments, fft_moments)])))
print("size")
print(max(np.abs([s1.moments_sigma - s2.moments_sigma*(1+size_bias)
for s1, s2 in zip(shoot_moments, fft_moments)])))
print("bestsize")
print(max(np.abs([s1.moments_sigma - s2.moments_sigma*(best_size_bias)
for s1, s2 in zip(shoot_moments, fft_moments)])))
print("g1")
print(max(np.abs([s1.observed_shape.g1 - s2.observed_shape.g1
for s1, s2 in zip(shoot_moments, fft_moments)])))
print("g2")
print(max(np.abs([s1.observed_shape.g2 - s2.observed_shape.g2
for s1, s2 in zip(shoot_moments, fft_moments)])))
# import matplotlib.pyplot as plt
# fig, ax = plt.subplots(nrows=1, ncols=1)
# ax.scatter(
# [s.observed_shape.g1 for s in shoot_moments],
# [s.observed_shape.g1 for s in fft_moments]
# )
# xlim = ax.get_xlim()
# ylim = ax.get_ylim()
# lim = (min(xlim[0], ylim[0]), max(xlim[1], ylim[1]))
# ax.set_xlim(lim)
# ax.set_ylim(lim)
# ax.plot([-100, 100], [-100, 100])
# plt.show()
# Verify that shoot with rng=None runs
psf.shoot(100, rng=None)
# Check that second_kick=False and second_kick=GSObject also run, and that we can shoot
# photons with these settings.
for second_kick in [False, galsim.Gaussian(fwhm=1)]:
psf = atm.makePSF(lam=500.0, exptime=10, aper=aper, second_kick=second_kick)
assert psf.second_kick == second_kick
img = psf.drawImage(nx=64, ny=64, scale=0.1, method='phot', n_photons=100)
# Verify that we can phase_gradient_shoot with 0 or 1 photons.
psf.shoot(0)
psf.shoot(1)
@timer
def test_input():
"""Check that exceptions are raised for invalid input"""
# Specifying only one of alpha and time_step is an error.
assert_raises(ValueError, galsim.AtmosphericScreen, screen_size=10.0, time_step=0.01)
assert_raises(ValueError, galsim.AtmosphericScreen, screen_size=10.0, alpha=0.997)
# But specifying both is alright.
galsim.AtmosphericScreen(screen_size=10.0, alpha=0.997, time_step=0.01)
# Try some variations for Atmosphere
assert_raises(ValueError, galsim.Atmosphere,
screen_size=10.0, altitude=[0., 1.],
r0_500=[0.2, 0.3, 0.2])
assert_raises(ValueError, galsim.Atmosphere,
screen_size=10.0, r0_500=[0.4, 0.4, 0.4],
r0_weights=[0.1, 0.3, 0.6])
@timer
def test_r0_weights():
"""Check that r0_weights functions as expected."""
r0_500 = 0.2
# Check that reassembled net r0_500 matches input
atm = galsim.Atmosphere(screen_size=10.0, altitude=[0,1,2,3], r0_500=r0_500)
r0s = [screen.r0_500 for screen in atm]
np.testing.assert_almost_equal(np.sum([r0**(-5./3) for r0 in r0s])**(-3./5), r0_500)
np.testing.assert_almost_equal(atm.r0_500_effective, r0_500)
# Check that old manual calculation matches automatic calculation inside Atmosphere()
weights = [1, 2, 3, 4]
normalized_weights = np.array(weights, dtype=float)/np.sum(weights)
r0s_ref = [r0_500 * w**(-3./5) for w in normalized_weights]
atm = galsim.Atmosphere(screen_size=10.0, altitude=[0,1,2,3], r0_500=r0_500, r0_weights=weights)
r0s_test = [screen.r0_500 for screen in atm]
np.testing.assert_almost_equal(r0s_test, r0s_ref)
np.testing.assert_almost_equal(np.sum([r0**(-5./3) for r0 in r0s_test])**(-3./5), r0_500)
np.testing.assert_almost_equal(atm.r0_500_effective, r0_500)
@timer
def test_speedup():
"""Make sure that photon-shooting a PhaseScreenPSF with geometric approximation yields
significant speedup.
"""
import time
atm = galsim.Atmosphere(screen_size=10.0, altitude=[0,1,2,3], r0_500=0.2)
# Should be ~seconds if _prepareDraw() gets executed, ~0.01s otherwise.
psf = atm.makePSF(lam=500.0, diam=1.0, exptime=15.0, time_step=0.025)
# Draw once to instantiate the SecondKick
psf.drawImage(method='phot', n_photons=1e3)
t0 = time.time()
# Draw again for actual test
psf.drawImage(method='phot', n_photons=1e3)
t1 = time.time()
print("Time for geometric approximation draw: {:6.4f}s".format(t1-t0))
assert (t1-t0) < 0.1, "Photon-shooting took too long ({0} s).".format(t1-t0)
@timer
def test_instantiation_check():
"""Check that after instantiating, drawing with the other method will emit a warning.
"""
atm1 = galsim.Atmosphere(screen_size=10.0, altitude=10, r0_500=0.2)
psf1 = atm1.makePSF(lam=500.0, diam=1.0)
psf1.drawImage()
with assert_warns(galsim.GalSimWarning):
psf1.drawImage(method='phot', n_photons=10)
atm2 = galsim.Atmosphere(screen_size=10.0, altitude=10, r0_500=0.2)
psf2 = atm2.makePSF(lam=500.0, diam=1.0) # exptime = 0, so reasonable to draw w/ FFT
psf2.drawImage(method='phot', n_photons=10)
with assert_warns(galsim.GalSimWarning):
psf2.drawImage()
@timer
def test_gc():
"""Make sure that pending psfs don't leak memory.
"""
import gc
# The below check about this may fail if some other test using PhaseScreenPSFs has failed.
# To avoid this spurious double error, only do the below check if we start out with
# nothing in the garbage collector.
gc.collect()
already_in_gc = any([isinstance(it, galsim.phase_psf.PhaseScreenPSF) for it in gc.get_objects()])
atm = galsim.Atmosphere(screen_size=10.0, altitude=0, r0_500=0.15, suppress_warning=True)
# First check that no PhaseScreenPSFs are known to the garbage collector
assert not any([isinstance(it, galsim.phase_psf.PhaseScreenPSF) for it in gc.get_objects()])
# Make a PhaseScreenPSF and check that it's known to the garbage collector
psf = atm.makePSF(exptime=0.02, time_step=0.01, diam=1.1, lam=1000.0)
assert any([isinstance(it, galsim.phase_psf.PhaseScreenPSF) for it in gc.get_objects()])
# If we delete it, it disappears everywhere
del psf
gc.collect()
assert not any([isinstance(it, galsim.phase_psf.PhaseScreenPSF) for it in gc.get_objects()])
# If we draw one using photon-shooting, it still exists in _pending
psf = atm.makePSF(exptime=0.02, time_step=0.01, diam=1.1, lam=1000.0)
psf.drawImage(nx=10, ny=10, scale=0.2, method='phot', n_photons=100)
assert psf in [p[1]() for p in atm._pending]
# If we draw even one of many using fft, _pending gets completely emptied
psf2 = atm.makePSF(exptime=0.02, time_step=0.01, diam=1.1, lam=1000.0)
psf.drawImage(nx=10, ny=10, scale=0.2)
assert atm._pending == []
# And if then deleted, they again don't exist anywhere
del psf, psf2
gc.collect()
if not already_in_gc:
assert not any([isinstance(it, galsim.phase_psf.PhaseScreenPSF) for it in gc.get_objects()])
# A corner case revealed in coverage tests:
# Make sure that everything still works if some, but not all static pending PSFs are deleted.
screen = galsim.OpticalScreen(diam=1.1)
phaseScreenList = galsim.PhaseScreenList(screen)
psf1 = phaseScreenList.makePSF(lam=1000.0, diam=1.1)
psf2 = phaseScreenList.makePSF(lam=1000.0, diam=1.1)
psf3 = phaseScreenList.makePSF(lam=1000.0, diam=1.1)
del psf2
psf1.drawImage(nx=10, ny=10, scale=0.2)
del psf1, psf3
assert phaseScreenList._pending == []
gc.collect()
if not already_in_gc:
assert not any([isinstance(it, galsim.phase_psf.PhaseScreenPSF) for it in gc.get_objects()])
@timer
def test_withGSP():