def _detector(self):
'''Return a model for a simple detector, presuming no one has
one of these on a two-theta stage. Assert that the beam centre is
provided in the Mosflm coordinate frame.'''
detector = FormatCBFMini._detector(self)
for f0, s0, f1, s1 in determine_pilatus_mask(detector):
detector[0].add_mask(f0, s0, f1, s1)
return detector
def _detector(self):
"""Return a model for a simple detector, presuming no one has
one of these on a two-theta stage. Assert that the beam centre is
provided in the Mosflm coordinate frame."""
if not self._multi_panel:
detector = FormatCBFMini._detector(self)
for f0, f1, s0, s1 in determine_pilatus_mask(detector):
detector[0].add_mask(f0 - 1, s0 - 1, f1, s1)
return detector
# got to here means 60-panel version
d = Detector()
distance = float(
self._cif_header_dictionary["Detector_distance"].split()[0])
beam_xy = (self._cif_header_dictionary["Beam_xy"].replace(
"(", "").replace(")", "").replace(",", "").split()[:2])
beam_x, beam_y = map(float, beam_xy)
wavelength = float(
self._cif_header_dictionary["Wavelength"].split()[0])
pixel_xy = (self._cif_header_dictionary["Pixel_size"].replace(
"m", "").replace("x", "").split())
pixel_x, pixel_y = map(float, pixel_xy)
thickness = float(
self._cif_header_dictionary["Silicon"].split()[2]) * 1000.0
nx = int(
self._cif_header_dictionary["X-Binary-Size-Fastest-Dimension"])
ny = int(self._cif_header_dictionary["X-Binary-Size-Second-Dimension"])
overload = int(self._cif_header_dictionary["Count_cutoff"].split()[0])
underload = -1
# take into consideration here the thickness of the sensor also the
# wavelength of the radiation (which we have in the same file...)
table = attenuation_coefficient.get_table("Si")
mu = table.mu_at_angstrom(wavelength) / 10.0
t0 = thickness
# FIXME would also be very nice to be able to take into account the
# misalignment of the individual modules given the calibration...
# single detector or multi-module detector
pixel_x *= 1000.0
pixel_y *= 1000.0
distance *= 1000.0
beam_centre = matrix.col((beam_x * pixel_x, beam_y * pixel_y, 0))
fast = matrix.col((1.0, 0.0, 0.0))
slow = matrix.col((0.0, -1.0, 0.0))
s0 = matrix.col((0, 0, -1))
origin = (distance * s0) - (fast * beam_centre[0]) - (slow *
beam_centre[1])
root = d.hierarchy()
root.set_local_frame(fast.elems, slow.elems, origin.elems)
det = _DetectorDatabase["Pilatus"]
# Edge dead areas not included, only gaps between modules matter
n_fast, remainder = divmod(nx, det.module_size_fast)
assert (n_fast - 1) * det.gap_fast == remainder
n_slow, remainder = divmod(ny, det.module_size_slow)
assert (n_slow - 1) * det.gap_slow == remainder
mx = det.module_size_fast
my = det.module_size_slow
dx = det.gap_fast
dy = det.gap_slow
xmins = [(mx + dx) * i for i in range(n_fast)]
xmaxes = [mx + (mx + dx) * i for i in range(n_fast)]
ymins = [(my + dy) * i for i in range(n_slow)]
ymaxes = [my + (my + dy) * i for i in range(n_slow)]
self.coords = {}
fast = matrix.col((1.0, 0.0, 0.0))
slow = matrix.col((0.0, 1.0, 0.0))
panel_idx = 0
for ymin, ymax in zip(ymins, ymaxes):
for xmin, xmax in zip(xmins, xmaxes):
xmin_mm = xmin * pixel_x
ymin_mm = ymin * pixel_y
origin_panel = fast * xmin_mm + slow * ymin_mm
panel_name = "Panel%d" % panel_idx
panel_idx += 1
p = d.add_panel()
p.set_type("SENSOR_PAD")
p.set_name(panel_name)
p.set_raw_image_offset((xmin, ymin))
p.set_image_size((xmax - xmin, ymax - ymin))
p.set_trusted_range((underload, overload))
p.set_pixel_size((pixel_x, pixel_y))
p.set_thickness(thickness)
p.set_material("Si")
p.set_mu(mu)
p.set_px_mm_strategy(ParallaxCorrectedPxMmStrategy(mu, t0))
p.set_local_frame(fast.elems, slow.elems, origin_panel.elems)
p.set_raw_image_offset((xmin, ymin))
self.coords[panel_name] = (xmin, ymin, xmax, ymax)
return d
