a = 4.065e-10
E = 10000.
d = a / np.sqrt(3) # (111)
hc = 4.136e-15 * 3.000e8
theta = np.arcsin(hc / (2 * d * E)) / np.pi * 180
psize = 55e-6
distance = .25
# detector plane: dq = |k| * dtheta(pixel-pixel)
Q12 = psize * 2 * np.pi / distance / (hc / E) * data.shape[-1]
Q3 = Q12 / 128 * 25 # about the same Q range as the first in-plane minimum
dq3 = Q3 / Nj
Dmax = 60e-9
print('%e %e' % (Q3, Q12))
# do the assembly, plotting on each iteration
data, rolls = pre_align_rolls(data, roll_center=None)
envelope1 = generate_envelope(Nj,
data.shape[-1],
Q=(Q3, Q12, Q12),
Dmax=(Dmax, 1, 1),
theta=theta)
envelope2 = generate_envelope(Nj, data.shape[-1], support=(1, .25, .25))
W = generate_initial(data, Nj)
p = ProgressPlot()
errors = []
for i in range(100):
print(i)
W, Pjlk, timing = M(W,
data,
Nl=Nl,
ml=ml,
print('now doing subset %u: %s'%(subset, inds,))
data = data_[inds]
# physics
theta = 15
psize = 55e-6
distance = .320
hc = 4.136e-15 * 3.000e8
E = 10000.
Q12 = psize * 2 * np.pi / distance / (hc / E) * data.shape[-1]
Q3 = Q12 / 150 * 30 # first minimum is around 30 pixels across, so Nj=30 should give a 1:1 aspect ratio with the first minimum on the q3 edges
dq3 = Q3 / Nj
Dmax = 60e-9
# do the assembly, plotting on each iteration
data, rolls = pre_align_rolls(data, roll_center=CENTER)
envelope = generate_envelope(Nj, data.shape[-1], Q=(Q3, Q12, Q12), Dmax=(Dmax, 1, 1), theta=theta)
W = generate_initial(data, Nj)
p = ProgressPlot()
errors = []
for i in range(60):
print(i)
W, Pjlk, timing = M(W, data, Nl=Nl, ml=ml, beta=fudge,
nproc=24,
roll_center=CENTER)
[print(k, '%.3f'%v) for k, v in timing.items()]
W, error = C(W, envelope)
errors.append(error)
p.update(np.log10(W), Pjlk, errors, vmax=1)
# expand the resolution now and then
a = 4.065e-10
E = 10000.
d = a / np.sqrt(3) # (111)
hc = 4.136e-15 * 3.000e8
theta = np.arcsin(hc / (2 * d * E)) / np.pi * 180
psize = 55e-6
distance = .25
# detector plane: dq = |k| * dtheta(pixel-pixel)
Q12 = psize * 2 * np.pi / distance / (hc / E) * data.shape[-1]
Q3 = Q12 / 128 * 25 # first minimum is 25 pixels wide
dq3 = Q3 / Nj
Dmax = 60e-9
print('%e %e' % (Q3, Q12))
# do the assembly, plotting on each iteration
data, rolls = pre_align_rolls(data, roll_center=[200, 64])
envelope1 = generate_envelope(Nj,
data.shape[-1],
Q=(Q3, Q12, Q12),
Dmax=(Dmax, 1, 1),
theta=theta)
envelope2 = generate_envelope(Nj, data.shape[-1], support=(1, .25, .25))
W = generate_initial(data, Nj)
p = ProgressPlot()
errors = []
for i in range(50):
print(i)
W, Pjlk, timing = M(W,
data,
Nl=Nl,
ml=ml,