def tst_forward_and_reverse_transform():
from dxtbx.model import Panel
from scitbx import matrix
# The input parameters (from a GXPARM.XDS file)
fast_axis = (0.000000, -0.939693, -0.342020)
slow_axis = (1.000000, 0.000000, 0.000000)
normal = (0.000000, -0.342020, 0.939693)
pixel_size = (0.172000, 0.172000)
pixel_origin = (244.836136, 320.338531)
image_size = (487, 619)
distance = 122.124901
wavelength = 0.689400
# Calculate the vector to the detector (0, 0) pixel
origin = ((matrix.col(fast_axis).normalize() * pixel_size[0]) *
(0 - pixel_origin[0]) +
(matrix.col(slow_axis).normalize() * pixel_size[1]) *
(0 - pixel_origin[1]) +
(distance * matrix.col(normal).normalize()))
# Create a detector object
panel = Panel("", "", fast_axis, slow_axis, origin, pixel_size, image_size,
(0, 0), 0.0, "")
# Create the intersection object and transform object
intersection = lambda x: panel.get_ray_intersection(x)
transform = lambda x: panel.get_lab_coord(x)
# Do a test
tst_fwd_rev_random(intersection, transform, panel)
def tst_forward_and_reverse_transform():
from dxtbx.model import Panel
from scitbx import matrix
# The input parameters (from a GXPARM.XDS file)
fast_axis = (0.000000, -0.939693, -0.342020)
slow_axis = (1.000000, 0.000000, 0.000000)
normal = (0.000000, -0.342020, 0.939693)
pixel_size = (0.172000, 0.172000)
pixel_origin = (244.836136, 320.338531)
image_size = (487, 619)
distance = 122.124901
wavelength = 0.689400
# Calculate the vector to the detector (0, 0) pixel
origin = ((matrix.col(fast_axis).normalize() * pixel_size[0]) *
(0 - pixel_origin[0]) +
(matrix.col(slow_axis).normalize() * pixel_size[1]) *
(0 - pixel_origin[1]) +
(distance * matrix.col(normal).normalize()))
# Create a detector object
panel = Panel("", "", fast_axis, slow_axis, origin, pixel_size,
image_size, (0, 0), 0.0, "")
# Create the intersection object and transform object
intersection = lambda x: panel.get_ray_intersection(x)
transform = lambda x: panel.get_lab_coord(x)
# Do a test
tst_fwd_rev_random(intersection, transform, panel)
