def testNativeLonLat(self):
"""
Test that nativeLonLatFromRaDec works by considering stars and pointings
at intuitive locations
"""
from galsim.lsst.lsst_wcs import _nativeLonLatFromRaDec
start = time.clock()
raList = [0.0, 0.0, 0.0, 1.5*np.pi]
decList = [0.5*np.pi, 0.5*np.pi, 0.0, 0.0]
raPointList = [0.0, 1.5*np.pi, 1.5*np.pi, 0.0]
decPointList = [0.0, 0.0,0.0, 0.0]
lonControlList = [np.pi, np.pi, 0.5*np.pi, 1.5*np.pi]
latControlList = [0.0, 0.0, 0.0, 0.0]
for rr, dd, rp, dp, lonc, latc in \
zip(raList, decList, raPointList, decPointList, lonControlList, latControlList):
lon, lat = _nativeLonLatFromRaDec(rr, dd, rp, dp)
self.assertAlmostEqual(lon, lonc, 10)
self.assertAlmostEqual(lat, latc, 10)
print 'time to run %s = %e seconds' % (funcname(), time.clock()-start)
def testNativeLonLatVector(self):
"""
Test that _nativeLonLatFromRaDec works by considering stars and pointings
at intuitive locations (make sure it works in a vectorized way; we do this
by performing a bunch of tansformations passing in ra and dec as numpy arrays
and then comparing them to results computed in an element-wise way)
"""
from galsim.lsst.lsst_wcs import _nativeLonLatFromRaDec
start = time.clock()
raPoint = np.radians(145.0)
decPoint = np.radians(-35.0)
nSamples = 100
rng = np.random.RandomState(42)
raList = rng.random_sample(nSamples)*2.0*np.pi
decList = rng.random_sample(nSamples)*np.pi - 0.5*np.pi
lonList, latList = _nativeLonLatFromRaDec(raList, decList, raPoint, decPoint)
for rr, dd, lon, lat in zip(raList, decList, lonList, latList):
lonControl, latControl = _nativeLonLatFromRaDec(rr, dd, raPoint, decPoint)
self.assertAlmostEqual(lat, latControl, 10)
if np.abs(np.abs(lat) - 0.5*np.pi)>1.0e-9:
self.assertAlmostEqual(lon, lonControl, 10)
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_eq(self):
"""
Test that __eq__ works for LsstWCS
"""
start = time.clock()
wcs1 = LsstWCS(self.pointing, self.rotation, self.chip_name)
self.assertEqual(self.wcs, wcs1)
new_origin = galsim.PositionI(9, 9)
wcs1 = wcs1._newOrigin(new_origin)
self.assertNotEqual(self.wcs, wcs1)
other_pointing = CelestialCoord(1.9*galsim.degrees, -34.0*galsim.degrees)
wcs2 = LsstWCS(other_pointing, self.rotation, self.chip_name)
self.assertNotEqual(self.wcs, wcs2)
wcs3 = LsstWCS(self.pointing, 112.0*galsim.degrees, self.chip_name)
self.assertNotEqual(self.wcs, wcs3)
wcs4 = LsstWCS(self.pointing, self.rotation, 'R:2,2 S:2,2')
self.assertNotEqual(self.wcs, wcs4)
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_pupil_coords_from_pixel_coords(self):
"""
Test the conversion from pixel coordinates back into pupil coordinates
"""
start = time.clock()
rng = np.random.RandomState(88)
n_samples = 100
raList = (rng.random_sample(n_samples)-0.5)*np.radians(1.5) + \
np.radians(self.raPointing)
decList = (rng.random_sample(n_samples)-0.5)*np.radians(1.5) + \
np.radians(self.decPointing)
x_pup_control, y_pup_control = self.camera.pupilCoordsFromFloat(raList, decList)
camera_point_list = self.camera._get_afw_pupil_coord_list_from_float(raList, decList)
chip_name_possibilities = ('R:0,1 S:1,1', 'R:0,3 S:0,2', 'R:4,2 S:2,2', 'R:3,4 S:0,2')
chip_name_list = [chip_name_possibilities[ii]
for ii in rng.random_integers(0,3,n_samples)]
x_pix_list, y_pix_list = \
self.camera._pixel_coord_from_point_and_name(camera_point_list, chip_name_list)
x_pup_test, y_pup_test = \
self.camera.pupilCoordsFromPixelCoords(x_pix_list, y_pix_list, chip_name_list)
np.testing.assert_array_almost_equal(x_pup_test, x_pup_control, 10)
np.testing.assert_array_almost_equal(y_pup_test, y_pup_control, 10)
# test one at a time
for xx, yy, name, x_control, y_control in \
zip(x_pix_list, y_pix_list, chip_name_list, x_pup_control, y_pup_control):
x_test, y_test = self.camera.pupilCoordsFromPixelCoords(xx, yy, name)
self.assertAlmostEqual(x_test, x_control, 10)
self.assertAlmostEqual(y_test, y_control, 10)
# test that NaNs are returned if chip_name is None or 'None'
chip_name_list = ['None'] * len(x_pix_list)
x_pup_test, y_pup_test = \
self.camera.pupilCoordsFromPixelCoords(x_pix_list, y_pix_list, chip_name_list)
for xp, yp in zip(x_pup_test, y_pup_test):
self.assertTrue(np.isnan(xp))
self.assertTrue(np.isnan(yp))
chip_name_list = [None] * len(x_pix_list)
x_pup_test, y_pup_test = \
self.camera.pupilCoordsFromPixelCoords(x_pix_list, y_pix_list, chip_name_list)
for xp, yp in zip(x_pup_test, y_pup_test):
self.assertTrue(np.isnan(xp))
self.assertTrue(np.isnan(yp))
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_pupil_coordinates_from_floats(self):
"""
Test that the method which converts floats into pupil coordinates agrees with the method
that converts CelestialCoords into pupil coordinates
"""
start = time.clock()
raPointing = 113.0
decPointing = -25.6
rot = 82.1
pointing = CelestialCoord(raPointing*galsim.degrees, decPointing*galsim.degrees)
camera = LsstCamera(pointing, rot*galsim.degrees)
arcsec_per_radian = 180.0*3600.0/np.pi
rng = np.random.RandomState(33)
raList = (rng.random_sample(100)-0.5)*20.0+raPointing
decList = (rng.random_sample(100)-0.5)*20.0+decPointing
pointingList = []
for rr, dd in zip(raList, decList):
pointingList.append(CelestialCoord(rr*galsim.degrees, dd*galsim.degrees))
control_x, control_y = camera.pupilCoordsFromPoint(pointingList)
test_x, test_y = camera.pupilCoordsFromFloat(np.radians(raList), np.radians(decList))
np.testing.assert_array_almost_equal((test_x - control_x)*arcsec_per_radian,
np.zeros(len(test_x)), 10)
np.testing.assert_array_almost_equal((test_y - control_y)*arcsec_per_radian,
np.zeros(len(test_y)), 10)
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_rotation_angle_pixel_coordinate_convention(self):
"""
Test the convention on how rotation angle affects the orientation of north
on the focal plane (in pixel coordinates) by calculating the pixel
coordinates of positions slightly displaced from the center of the camera.
"""
start = time.clock()
ra = 30.0
dec = 0.0
delta = 0.001
pointing = CelestialCoord(ra*galsim.degrees, dec*galsim.degrees)
north = CelestialCoord(ra*galsim.degrees, (dec+delta)*galsim.degrees)
east = CelestialCoord((ra+delta)*galsim.degrees, dec*galsim.degrees)
camera = LsstCamera(pointing, 0.0*galsim.degrees)
x_0, y_0, name = camera.pixelCoordsFromPoint(pointing)
x_n, y_n, name = camera.pixelCoordsFromPoint(north)
x_e, y_e, name = camera.pixelCoordsFromPoint(east)
self.assertGreater(x_n-x_0, 10.0)
self.assertAlmostEqual(y_n-y_0, 0.0, 7)
self.assertAlmostEqual(x_e-x_0, 0.0, 7)
self.assertGreater(y_e-y_0, 10.0)
camera = LsstCamera(pointing, 90.0*galsim.degrees)
x_0, y_0, name = camera.pixelCoordsFromPoint(pointing)
x_n, y_n, name = camera.pixelCoordsFromPoint(north)
x_e, y_e, name = camera.pixelCoordsFromPoint(east)
self.assertAlmostEqual(x_n-x_0, 0.0, 7)
self.assertGreater(y_n-y_0, 10.0)
self.assertLess(x_e-x_0, -10.0)
self.assertAlmostEqual(y_e-y_0, 0.0, 7)
camera = LsstCamera(pointing, -90.0*galsim.degrees)
x_0, y_0, name = camera.pixelCoordsFromPoint(pointing)
x_n, y_n, name = camera.pixelCoordsFromPoint(north)
x_e, y_e, name = camera.pixelCoordsFromPoint(east)
self.assertAlmostEqual(x_n-x_0, 0.0, 7)
self.assertLess(y_n-y_0, -10.0)
self.assertGreater(x_e-x_0, 10.0)
self.assertAlmostEqual(y_e-y_0, 0.0, 7)
camera = LsstCamera(pointing, 180.0*galsim.degrees)
x_0, y_0, name = camera.pixelCoordsFromPoint(pointing)
x_n, y_n, name = camera.pixelCoordsFromPoint(north)
x_e, y_e, name = camera.pixelCoordsFromPoint(east)
self.assertLess(x_n-x_0, -10.0)
self.assertAlmostEqual(y_n-y_0, 0.0, 7)
self.assertAlmostEqual(x_e-x_0, 0.0, 7)
self.assertLess(y_e-y_0, -10.0)
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_attribute_exceptions(self):
"""
Test that exceptions are raised when you try to set attributes
"""
start = time.clock()
with self.assertRaises(AttributeError) as context:
self.camera.pointing = galsim.CelestialCoord(34.0*galsim.degrees, 18.0*galsim.degrees)
with self.assertRaises(AttributeError) as context:
self.camera.rotation_angle = 56.0*galsim.degrees
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_tan_wcs(self):
"""
Test method to return a Tan WCS by generating a bunch of pixel coordinates
in the undistorted TAN-PIXELS coordinate system. Then, use sims_coordUtils
to convert those pixel coordinates into RA and Dec. Compare these to the
RA and Dec returned by the WCS. Demand agreement to witin 0.001 arcseconds.
Note: if you use a bigger camera, it is possible to have disagreements of
order a few milliarcseconds.
"""
start = time.clock()
xPixList = []
yPixList = []
tanWcs = self.wcs.getTanWcs()
wcsRa = []
wcsDec = []
for xx in np.arange(0.0, 4001.0, 1000.0):
for yy in np.arange(0.0, 4001.0, 1000.0):
xPixList.append(xx)
yPixList.append(yy)
pt = afwGeom.Point2D(xx ,yy)
skyPt = tanWcs.pixelToSky(pt).getPosition()
wcsRa.append(skyPt.getX())
wcsDec.append(skyPt.getY())
wcsRa = np.radians(np.array(wcsRa))
wcsDec = np.radians(np.array(wcsDec))
xPixList = np.array(xPixList)
yPixList = np.array(yPixList)
raTest, decTest = \
self.wcs._camera.raDecFromTanPixelCoords(xPixList, yPixList,
[self.wcs._chip_name]*len(xPixList))
for rr1, dd1, rr2, dd2 in zip(raTest, decTest, wcsRa, wcsDec):
pp = CelestialCoord(rr1*galsim.radians, dd1*galsim.radians)
dist = \
pp.distanceTo(CelestialCoord(rr2*galsim.radians, dd2*galsim.radians))/galsim.arcsec
msg = 'error in tanWcs was %e arcsec' % dist
self.assertLess(dist, 0.001, msg=msg)
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_attribute_exceptions(self):
"""
Test that exceptions are raised when you try to re-assign LsstWCS attributes
"""
start = time.clock()
with self.assertRaises(AttributeError) as context:
self.wcs.pointing = CelestialCoord(22.0*galsim.degrees, -17.0*galsim.degrees)
with self.assertRaises(AttributeError) as context:
self.wcs.rotation_angle = 23.0*galsim.degrees
with self.assertRaises(AttributeError) as context:
self.wcs.chip_name = 'R:4,4 S:1,1'
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_copy(self):
"""
Test that copy() works
"""
start = time.clock()
pointing = CelestialCoord(64.82*galsim.degrees, -16.73*galsim.degrees)
rotation = 116.8*galsim.degrees
chip_name = 'R:1,2 S:2,2'
wcs0 = LsstWCS(pointing, rotation, chip_name)
wcs0 = wcs0._newOrigin(galsim.PositionI(112, 4))
wcs1 = wcs0.copy()
self.assertEqual(wcs0, wcs1)
wcs0 = wcs0._newOrigin(galsim.PositionI(66, 77))
self.assertNotEqual(wcs0, wcs1)
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_constructor(self):
"""
Just make sure that the constructor for LsstWCS runs, and that it throws an error
when you specify a nonsense chip.
"""
start = time.clock()
pointing = CelestialCoord(112.0*galsim.degrees, -39.0*galsim.degrees)
rotation = 23.1*galsim.degrees
wcs1 = LsstWCS(pointing, rotation, 'R:1,1 S:2,2')
with self.assertRaises(RuntimeError) as context:
wcs2 = LsstWCS(pointing, rotation, 'R:1,1 S:3,3')
self.assertEqual(context.exception.args[0],
"R:1,1 S:3,3 is not a valid chip_name for an LsstWCS")
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_round_trip(self):
"""
Test writing out an image with an LsstWCS, reading it back in, and comparing
the resulting pixel -> ra, dec mappings
"""
start = time.clock()
path, filename = os.path.split(__file__)
im0 = galsim.Image(int(4000), int(4000), wcs=self.wcs)
outputFile = os.path.join(path,'scratch_space','lsst_roundtrip_img.fits')
if os.path.exists(outputFile):
os.unlink(outputFile)
im0.write(outputFile)
im1 = galsim.fits.read(outputFile)
xPix = []
yPix = []
pixPts = []
for xx in range(0, 4000, 100):
for yy in range(0, 4000, 100):
xPix.append(xx)
yPix.append(yy)
pixPts.append(galsim.PositionI(xx, yy))
xPix = np.array(xPix)
yPix = np.array(yPix)
ra_control, dec_control = self.wcs._radec(xPix, yPix)
for rr, dd, pp in zip(ra_control, dec_control, pixPts):
ra_dec_test = im1.wcs.toWorld(pp)
self.assertAlmostEqual(rr, ra_dec_test.ra/galsim.radians, 12)
self.assertAlmostEqual(dd, ra_dec_test.dec/galsim.radians, 12)
if os.path.exists(outputFile):
os.unlink(outputFile)
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_ra_dec_from_pupil_coords(self):
"""
Test that the method which converts from pupil coordinates back to RA, Dec works
"""
start = time.clock()
rng = np.random.RandomState(55)
n_samples = 100
raList = (rng.random_sample(n_samples)-0.5)*1.0 + np.radians(self.raPointing)
decList = (rng.random_sample(n_samples)-0.5)*1.0 + np.radians(self.decPointing)
x_pupil, y_pupil = self.camera.pupilCoordsFromFloat(raList, decList)
ra_test, dec_test = self.camera.raDecFromPupilCoords(x_pupil, y_pupil)
np.testing.assert_array_almost_equal(np.cos(raList), np.cos(ra_test), 10)
np.testing.assert_array_almost_equal(np.sin(raList), np.sin(ra_test), 10)
np.testing.assert_array_almost_equal(np.cos(decList), np.cos(dec_test), 10)
np.testing.assert_array_almost_equal(np.sin(decList), np.sin(dec_test), 10)
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_passing_camera_by_hand(self):
"""
Test that you can pass a camera from one WCS to another
"""
start = time.clock()
with warnings.catch_warnings(record=True) as ww:
wcs1 = LsstWCS(self.pointing, self.rotation, chip_name='R:0,1 S:1,1',
camera=self.wcs.camera)
self.assertEqual(len(ww), 0)
# verify that, if the camera does not have the pointing or rotation angle you want,
# a new camera will be instantiated
with warnings.catch_warnings(record=True) as ww:
wcs1 = LsstWCS(galsim.CelestialCoord(0.0*galsim.degrees, 0.0*galsim.degrees),
self.rotation, chip_name='R:0,1 S:1,1', camera=self.wcs.camera)
self.assertEqual(str(ww[0].message),
"The camera you passed to LsstWCS does not have the same\n"
"pointing and rotation angle as you asked for for this WCS.\n"
"LsstWCS is creating a new camera with the pointing and\n"
"rotation angle you specified in the constructor for LsstWCS.")
with warnings.catch_warnings(record=True) as ww:
wcs1 = LsstWCS(self.pointing, 49.0*galsim.degrees,
chip_name='R:0,1 S:1,1', camera=self.wcs.camera)
self.assertEqual(str(ww[0].message),
"The camera you passed to LsstWCS does not have the same\n"
"pointing and rotation angle as you asked for for this WCS.\n"
"LsstWCS is creating a new camera with the pointing and\n"
"rotation angle you specified in the constructor for LsstWCS.")
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_pickling(self):
"""
Test that LsstWCS can be pickled and un-pickled
"""
start = time.clock()
path, filename = os.path.split(__file__)
file_name = os.path.join(path,'scratch_space','pickle_LsstWCS.txt')
import pickle
with open(file_name, 'w') as output_file:
pickle.dump(self.wcs, output_file)
with open(file_name, 'r') as input_file:
wcs1 = pickle.load(input_file)
self.assertEqual(self.wcs, wcs1)
if os.path.exists(file_name):
os.unlink(file_name)
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def testNativeLongLatComplicated(self):
"""
Test that nativeLongLatFromRaDec works by considering stars and pointings
at non-intuitive locations.
"""
from galsim.lsst.lsst_wcs import _nativeLonLatFromRaDec
start = time.clock()
rng = np.random.RandomState(42)
nPointings = 10
raPointingList = rng.random_sample(nPointings)*2.0*np.pi
decPointingList = rng.random_sample(nPointings)*np.pi - 0.5*np.pi
nStars = 10
for raPointing, decPointing in zip(raPointingList, decPointingList):
raList = rng.random_sample(nStars)*2.0*np.pi
decList = rng.random_sample(nStars)*np.pi - 0.5*np.pi
for raRad, decRad in zip(raList, decList):
sinRa = np.sin(raRad)
cosRa = np.cos(raRad)
sinDec = np.sin(decRad)
cosDec = np.cos(decRad)
# the three dimensional position of the star
controlPosition = np.array([-cosDec*sinRa, cosDec*cosRa, sinDec])
# calculate the rotation matrices needed to transform the
# x, y, and z axes into the local x, y, and z axes
# (i.e. the axes with z lined up with raPointing, decPointing)
alpha = 0.5*np.pi - decPointing
ca = np.cos(alpha)
sa = np.sin(alpha)
rotX = np.array([[1.0, 0.0, 0.0],
[0.0, ca, sa],
[0.0, -sa, ca]])
cb = np.cos(raPointing)
sb = np.sin(raPointing)
rotZ = np.array([[cb, -sb, 0.0],
[sb, cb, 0.0],
[0.0, 0.0, 1.0]])
# rotate the coordinate axes into the local basis
xAxis = np.dot(rotZ, np.dot(rotX, np.array([1.0, 0.0, 0.0])))
yAxis = np.dot(rotZ, np.dot(rotX, np.array([0.0, 1.0, 0.0])))
zAxis = np.dot(rotZ, np.dot(rotX, np.array([0.0, 0.0, 1.0])))
# calculate the local longitude and latitude of the star
lon, lat = _nativeLonLatFromRaDec(raRad, decRad, raPointing, decPointing)
cosLon = np.cos(lon)
sinLon = np.sin(lon)
cosLat = np.cos(lat)
sinLat = np.sin(lat)
# the x, y, z position of the star in the local coordinate basis
transformedPosition = np.array([-cosLat*sinLon,
cosLat*cosLon,
sinLat])
# convert that position back into the un-rotated bases
testPosition = transformedPosition[0]*xAxis + \
transformedPosition[1]*yAxis + \
transformedPosition[2]*zAxis
# assert that testPosition and controlPosition should be equal
np.testing.assert_array_almost_equal(controlPosition, testPosition, decimal=10)
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_tan_sip_wcs(self):
"""
Test that getTanSipWcs works by fitting a TAN WCS and a TAN-SIP WCS to
the a detector with distortions and verifying that the TAN-SIP WCS better approximates
the truth.
"""
start = time.clock()
arcsec_per_radian = 180.0*3600.0/np.pi
tanWcs = self.wcs.getTanWcs()
tanSipWcs = self.wcs.getTanSipWcs()
tanWcsRa = []
tanWcsDec = []
tanSipWcsRa = []
tanSipWcsDec = []
xPixList = []
yPixList = []
for xx in np.arange(0.0, 4001.0, 1000.0):
for yy in np.arange(0.0, 4001.0, 1000.0):
xPixList.append(xx)
yPixList.append(yy)
pt = afwGeom.Point2D(xx ,yy)
skyPt = tanWcs.pixelToSky(pt).getPosition()
tanWcsRa.append(skyPt.getX())
tanWcsDec.append(skyPt.getY())
skyPt = tanSipWcs.pixelToSky(pt).getPosition()
tanSipWcsRa.append(skyPt.getX())
tanSipWcsDec.append(skyPt.getY())
tanWcsRa = np.radians(np.array(tanWcsRa))
tanWcsDec = np.radians(np.array(tanWcsDec))
tanSipWcsRa = np.radians(np.array(tanSipWcsRa))
tanSipWcsDec = np.radians(np.array(tanSipWcsDec))
xPixList = np.array(xPixList)
yPixList = np.array(yPixList)
raTest, decTest = \
self.wcs._camera.raDecFromPixelCoords(xPixList, yPixList,
[self.wcs._chip_name]*len(xPixList))
for rrTest, ddTest, rrTan, ddTan, rrSip, ddSip in \
zip(raTest, decTest, tanWcsRa, tanWcsDec, tanSipWcsRa, tanSipWcsDec):
pp = CelestialCoord(rrTest*galsim.radians, ddTest*galsim.radians)
distTan = \
pp.distanceTo(CelestialCoord(rrTan*galsim.radians, ddTan*galsim.radians))/galsim.arcsec
distSip = \
pp.distanceTo(CelestialCoord(rrSip*galsim.radians, ddSip*galsim.radians))/galsim.arcsec
msg = 'error in TAN WCS %e arcsec; error in TAN-SIP WCS %e arcsec' % (distTan, distSip)
self.assertLess(distSip, 0.001, msg=msg)
self.assertGreater(distTan-distSip, 1.0e-10, msg=msg)
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)
def test_pupil_coordinates(self):
"""
Test the conversion between (RA, Dec) and pupil coordinates.
Results are checked against the routine provided by PALPY.
"""
start = time.clock()
def palpyPupilCoords(star, pointing):
"""
This is just a copy of the PALPY method Ds2tp, which
I am taking to be the ground truth for projection from
a sphere onto the tangent plane
inputs
------------
star is a CelestialCoord corresponding to the point being projected
pointing is a CelestialCoord corresponding to the pointing of the
'telescope'
outputs
------------
The x and y coordinates in the focal plane (radians)
"""
ra = star.ra/galsim.radians
dec = star.dec/galsim.radians
ra_pointing = pointing.ra/galsim.radians
dec_pointing = pointing.dec/galsim.radians
cdec = np.cos(dec)
sdec = np.sin(dec)
cdecz = np.cos(dec_pointing)
sdecz = np.sin(dec_pointing)
cradif = np.cos(ra - ra_pointing)
sradif = np.sin(ra - ra_pointing)
denom = sdec * sdecz + cdec * cdecz * cradif
xx = cdec * sradif/denom
yy = (sdec * cdecz - cdec * sdecz * cradif)/denom
return xx, yy
rng = np.random.RandomState(42)
n_pointings = 10
ra_pointing_list = rng.random_sample(n_pointings)*2.0*np.pi
dec_pointing_list = 0.5*(rng.random_sample(n_pointings)-0.5)*np.pi
rotation_angle_list = rng.random_sample(n_pointings)*2.0*np.pi
radians_to_arcsec = 3600.0*np.degrees(1.0)
for ra, dec, rotation in zip(ra_pointing_list, dec_pointing_list, rotation_angle_list):
pointing = CelestialCoord(ra*galsim.radians, dec*galsim.radians)
camera = LsstCamera(pointing, rotation*galsim.radians)
dra_list = (rng.random_sample(100)-0.5)*0.5
ddec_list = (rng.random_sample(100)-0.5)*0.5
star_list = np.array([CelestialCoord((ra+dra)*galsim.radians,
(dec+ddec)*galsim.radians)
for dra, ddec in zip(dra_list, ddec_list)])
xTest, yTest = camera.pupilCoordsFromPoint(star_list)
xControl = []
yControl = []
for star in star_list:
xx, yy = palpyPupilCoords(star, pointing)
xx *= -1.0
xControl.append(xx*np.cos(rotation) - yy*np.sin(rotation))
yControl.append(yy*np.cos(rotation) + xx*np.sin(rotation))
xControl = np.array(xControl)
yControl = np.array(yControl)
np.testing.assert_array_almost_equal((xTest*radians_to_arcsec) -
(xControl*radians_to_arcsec),
np.zeros(len(xControl)), 7)
np.testing.assert_array_almost_equal((yTest*radians_to_arcsec) -
(yControl*radians_to_arcsec),
np.zeros(len(yControl)), 7)
print 'time to run %s = %e sec' % (funcname(), time.clock()-start)