def make_reflection_patches(instr_cfg,
tth_eta,
ang_pixel_size,
omega=None,
tth_tol=0.2,
eta_tol=1.0,
rMat_c=np.eye(3),
tVec_c=np.c_[0., 0., 0.].T,
distortion=distortion,
npdiv=1,
quiet=False,
compute_areas_func=compute_areas):
"""
prototype function for making angular patches on a detector
panel_dims are [(xmin, ymin), (xmax, ymax)] in mm
pixel_pitch is [row_size, column_size] in mm
DISTORTION HANDING IS STILL A KLUDGE
patches are:
delta tth
d ------------- ... -------------
e | x | x | x | ... | x | x | x |
l ------------- ... -------------
t .
a .
.
e ------------- ... -------------
t | x | x | x | ... | x | x | x |
a ------------- ... -------------
"""
npts = len(tth_eta)
# detector frame
rMat_d = xfcapi.makeDetectorRotMat(
instr_cfg['detector']['transform']['tilt_angles'])
tVec_d = np.r_[instr_cfg['detector']['transform']['t_vec_d']]
pixel_size = instr_cfg['detector']['pixels']['size']
frame_nrows = instr_cfg['detector']['pixels']['rows']
frame_ncols = instr_cfg['detector']['pixels']['columns']
panel_dims = (
-0.5 * np.r_[frame_ncols * pixel_size[1], frame_nrows * pixel_size[0]],
0.5 * np.r_[frame_ncols * pixel_size[1], frame_nrows * pixel_size[0]])
row_edges = np.arange(frame_nrows +
1)[::-1] * pixel_size[1] + panel_dims[0][1]
col_edges = np.arange(frame_ncols + 1) * pixel_size[0] + panel_dims[0][0]
# sample frame
chi = instr_cfg['oscillation_stage']['chi']
tVec_s = np.r_[instr_cfg['oscillation_stage']['t_vec_s']]
# data to loop
# ...WOULD IT BE CHEAPER TO CARRY ZEROS OR USE CONDITIONAL?
if omega is None:
full_angs = np.hstack([tth_eta, np.zeros((npts, 1))])
else:
full_angs = np.hstack([tth_eta, omega.reshape(npts, 1)])
patches = []
for angs, pix in zip(full_angs, ang_pixel_size):
# need to get angular pixel size
rMat_s = xfcapi.makeOscillRotMat([chi, angs[2]])
ndiv_tth = npdiv * np.ceil(tth_tol / np.degrees(pix[0]))
ndiv_eta = npdiv * np.ceil(eta_tol / np.degrees(pix[1]))
tth_del = np.arange(
0, ndiv_tth + 1) * tth_tol / float(ndiv_tth) - 0.5 * tth_tol
eta_del = np.arange(
0, ndiv_eta + 1) * eta_tol / float(ndiv_eta) - 0.5 * eta_tol
# store dimensions for convenience
# * etas and tths are bin vertices, ome is already centers
sdims = [len(eta_del) - 1, len(tth_del) - 1]
# meshgrid args are (cols, rows), a.k.a (fast, slow)
m_tth, m_eta = np.meshgrid(tth_del, eta_del)
npts_patch = m_tth.size
# calculate the patch XY coords from the (tth, eta) angles
# * will CHEAT and ignore the small perturbation the different
# omega angle values causes and simply use the central value
gVec_angs_vtx = np.tile(angs, (npts_patch, 1)) \
+ np.radians(
np.vstack([m_tth.flatten(),
m_eta.flatten(),
np.zeros(npts_patch)
]).T
)
# will need this later
rMat_s = xfcapi.makeOscillRotMat([chi, angs[2]])
# FOR ANGULAR MESH
conn = gutil.cellConnectivity(sdims[0], sdims[1], origin='ll')
gVec_c = xf.anglesToGVec(gVec_angs_vtx,
xf.bVec_ref,
xf.eta_ref,
rMat_s=rMat_s,
rMat_c=rMat_c)
xy_eval_vtx = xfcapi.gvecToDetectorXY(gVec_c.T, rMat_d, rMat_s, rMat_c,
tVec_d, tVec_s, tVec_c)
if distortion is not None and len(distortion) == 2:
xy_eval_vtx = distortion[0](xy_eval_vtx,
distortion[1],
invert=True)
pass
areas = compute_areas_func(xy_eval_vtx, conn)
# EVALUATION POINTS
# * for lack of a better option will use centroids
tth_eta_cen = gutil.cellCentroids(np.atleast_2d(gVec_angs_vtx[:, :2]),
conn)
gVec_angs = np.hstack(
[tth_eta_cen, np.tile(angs[2], (len(tth_eta_cen), 1))])
gVec_c = xf.anglesToGVec(gVec_angs,
xf.bVec_ref,
xf.eta_ref,
rMat_s=rMat_s,
rMat_c=rMat_c)
xy_eval = xfcapi.gvecToDetectorXY(gVec_c.T, rMat_d, rMat_s, rMat_c,
tVec_d, tVec_s, tVec_c)
if distortion is not None and len(distortion) == 2:
xy_eval = distortion[0](xy_eval, distortion[1], invert=True)
pass
row_indices = gutil.cellIndices(row_edges, xy_eval[:, 1])
col_indices = gutil.cellIndices(col_edges, xy_eval[:, 0])
patches.append(
((gVec_angs_vtx[:, 0].reshape(m_tth.shape),
gVec_angs_vtx[:, 1].reshape(m_tth.shape)),
(xy_eval_vtx[:, 0].reshape(m_tth.shape),
xy_eval_vtx[:, 1].reshape(m_tth.shape)), conn,
areas.reshape(sdims[0],
sdims[1]), (row_indices.reshape(sdims[0], sdims[1]),
col_indices.reshape(sdims[0],
sdims[1]))))
pass
return patches
def make_reflection_patches(
instr_cfg,
tth_eta,
ang_pixel_size,
omega=None,
tth_tol=0.2,
eta_tol=1.0,
rMat_c=np.eye(3),
tVec_c=np.c_[0.0, 0.0, 0.0].T,
distortion=distortion,
npdiv=1,
quiet=False,
compute_areas_func=compute_areas,
):
"""
prototype function for making angular patches on a detector
panel_dims are [(xmin, ymin), (xmax, ymax)] in mm
pixel_pitch is [row_size, column_size] in mm
DISTORTION HANDING IS STILL A KLUDGE
patches are:
delta tth
d ------------- ... -------------
e | x | x | x | ... | x | x | x |
l ------------- ... -------------
t .
a .
.
e ------------- ... -------------
t | x | x | x | ... | x | x | x |
a ------------- ... -------------
"""
npts = len(tth_eta)
# detector frame
rMat_d = xfcapi.makeDetectorRotMat(instr_cfg["detector"]["transform"]["tilt_angles"])
tVec_d = np.r_[instr_cfg["detector"]["transform"]["t_vec_d"]]
pixel_size = instr_cfg["detector"]["pixels"]["size"]
frame_nrows = instr_cfg["detector"]["pixels"]["rows"]
frame_ncols = instr_cfg["detector"]["pixels"]["columns"]
panel_dims = (
-0.5 * np.r_[frame_ncols * pixel_size[1], frame_nrows * pixel_size[0]],
0.5 * np.r_[frame_ncols * pixel_size[1], frame_nrows * pixel_size[0]],
)
row_edges = np.arange(frame_nrows + 1)[::-1] * pixel_size[1] + panel_dims[0][1]
col_edges = np.arange(frame_ncols + 1) * pixel_size[0] + panel_dims[0][0]
# sample frame
chi = instr_cfg["oscillation_stage"]["chi"]
tVec_s = np.r_[instr_cfg["oscillation_stage"]["t_vec_s"]]
# data to loop
# ...WOULD IT BE CHEAPER TO CARRY ZEROS OR USE CONDITIONAL?
if omega is None:
full_angs = np.hstack([tth_eta, np.zeros((npts, 1))])
else:
full_angs = np.hstack([tth_eta, omega.reshape(npts, 1)])
patches = []
for angs, pix in zip(full_angs, ang_pixel_size):
# need to get angular pixel size
rMat_s = xfcapi.makeOscillRotMat([chi, angs[2]])
ndiv_tth = npdiv * np.ceil(tth_tol / np.degrees(pix[0]))
ndiv_eta = npdiv * np.ceil(eta_tol / np.degrees(pix[1]))
tth_del = np.arange(0, ndiv_tth + 1) * tth_tol / float(ndiv_tth) - 0.5 * tth_tol
eta_del = np.arange(0, ndiv_eta + 1) * eta_tol / float(ndiv_eta) - 0.5 * eta_tol
# store dimensions for convenience
# * etas and tths are bin vertices, ome is already centers
sdims = [len(eta_del) - 1, len(tth_del) - 1]
# meshgrid args are (cols, rows), a.k.a (fast, slow)
m_tth, m_eta = np.meshgrid(tth_del, eta_del)
npts_patch = m_tth.size
# calculate the patch XY coords from the (tth, eta) angles
# * will CHEAT and ignore the small perturbation the different
# omega angle values causes and simply use the central value
gVec_angs_vtx = np.tile(angs, (npts_patch, 1)) + np.radians(
np.vstack([m_tth.flatten(), m_eta.flatten(), np.zeros(npts_patch)]).T
)
# will need this later
rMat_s = xfcapi.makeOscillRotMat([chi, angs[2]])
# FOR ANGULAR MESH
conn = gutil.cellConnectivity(sdims[0], sdims[1], origin="ll")
gVec_c = xf.anglesToGVec(gVec_angs_vtx, xf.bVec_ref, xf.eta_ref, rMat_s=rMat_s, rMat_c=rMat_c)
xy_eval_vtx = xfcapi.gvecToDetectorXY(gVec_c.T, rMat_d, rMat_s, rMat_c, tVec_d, tVec_s, tVec_c)
if distortion is not None and len(distortion) == 2:
xy_eval_vtx = distortion[0](xy_eval_vtx, distortion[1], invert=True)
pass
areas = compute_areas_func(xy_eval_vtx, conn)
# EVALUATION POINTS
# * for lack of a better option will use centroids
tth_eta_cen = gutil.cellCentroids(np.atleast_2d(gVec_angs_vtx[:, :2]), conn)
gVec_angs = np.hstack([tth_eta_cen, np.tile(angs[2], (len(tth_eta_cen), 1))])
gVec_c = xf.anglesToGVec(gVec_angs, xf.bVec_ref, xf.eta_ref, rMat_s=rMat_s, rMat_c=rMat_c)
xy_eval = xfcapi.gvecToDetectorXY(gVec_c.T, rMat_d, rMat_s, rMat_c, tVec_d, tVec_s, tVec_c)
if distortion is not None and len(distortion) == 2:
xy_eval = distortion[0](xy_eval, distortion[1], invert=True)
pass
row_indices = gutil.cellIndices(row_edges, xy_eval[:, 1])
col_indices = gutil.cellIndices(col_edges, xy_eval[:, 0])
patches.append(
(
(gVec_angs_vtx[:, 0].reshape(m_tth.shape), gVec_angs_vtx[:, 1].reshape(m_tth.shape)),
(xy_eval_vtx[:, 0].reshape(m_tth.shape), xy_eval_vtx[:, 1].reshape(m_tth.shape)),
conn,
areas.reshape(sdims[0], sdims[1]),
(row_indices.reshape(sdims[0], sdims[1]), col_indices.reshape(sdims[0], sdims[1])),
)
)
pass
return patches
distortion = (xf.dFunc_ref, dparams)
except (KeyError):
distortion = None
# for defining patches
delta_eta = 0.5
neta = int(360 / float(delta_eta))
eta = np.radians(delta_eta * np.linspace(0, neta - 1, num=neta))
angs = [
np.vstack([i * np.ones(neta), eta, np.zeros(neta)]) for i in pd.getTTh()
]
# need xy coords and pixel sizes
gVec_ring_l = xf.anglesToGVec(angs[0].T, xf.bVec_ref, xf.eta_ref)
xydet_ring = xfcapi.gvecToDetectorXY(gVec_ring_l.T, rMat_d, rMat_s, rMat_c,
tVec_d, tVec_s, tVec_c)
if distortion is not None:
det_xy = distortion[0](xydet_ring, distortion[1], invert=True)
ang_ps = angularPixelSize(det_xy,
pixel_pitch,
rMat_d,
rMat_s,
tVec_d,
tVec_s,
tVec_c,
distortion=distortion)
# dfunc = instr_cfg['detector']['distortion']['function_name']
dparams = instr_cfg["detector"]["distortion"]["parameters"]
distortion = (xf.dFunc_ref, dparams)
except (KeyError):
distortion = None
# for defining patches
delta_eta = 0.5
neta = int(360 / float(delta_eta))
eta = np.radians(delta_eta * np.linspace(0, neta - 1, num=neta))
angs = [np.vstack([i * np.ones(neta), eta, np.zeros(neta)]) for i in pd.getTTh()]
# need xy coords and pixel sizes
gVec_ring_l = xf.anglesToGVec(angs[0].T, xf.bVec_ref, xf.eta_ref)
xydet_ring = xfcapi.gvecToDetectorXY(gVec_ring_l.T, rMat_d, rMat_s, rMat_c, tVec_d, tVec_s, tVec_c)
if distortion is not None:
det_xy = distortion[0](xydet_ring, distortion[1], invert=True)
ang_ps = angularPixelSize(det_xy, pixel_pitch, rMat_d, rMat_s, tVec_d, tVec_s, tVec_c, distortion=distortion)
def compute_areas(xy_eval_vtx, conn):
areas = np.zeros(len(conn))
for i in range(len(conn)):
polygon = [[xy_eval_vtx[conn[i, j], 0], xy_eval_vtx[conn[i, j], 1]] for j in range(4)]
areas[i] = gutil.computeArea(polygon)
return areas
