def MC_make_angles(R,U, gIs, sigmas,wmin,wmax):
assert len(gIs) == len(sigmas)
rIs = []
F = dot(R,U)
FinvT = inv(F).T
angles = []
for i in range(len(gIs)):
gI = gIs[i]
rI = dot(FinvT,gI)
rI_angle_sol = Get_LLNL_Angles(rI, wavelength)
ct = 0
s_tth, s_eta,s_w = sigmas[i]
r_tth = numpy.random.normal(0, s_tth, 1)
r_eta = numpy.random.normal(0, s_eta, 1)
r_w = numpy.random.normal(0, s_w, 1)
for key in rI_angle_sol.keys():
ct+=1
tth,eta,w = rI_angle_sol[key]
w = mapOme(w,wmin,wmax)
eta = mapOme(eta,-num.pi,num.pi)
if w is not None:
hit = [tth+r_tth,eta+r_eta,w + r_w]
angles.append(hit)
if ct==2:
print 'double hit', gI, i, rI
return angles
def MC_make_angles_(R,U,pVec,detectorGeom,planeData,omeMin,omeMax,tweak = False, stdev = rad(.1)):
tmpDG = detector.DetectorGeomGE(detectorGeom, pVec=pVec)
recips = planeData.makeRecipVectors(R = R, U = U)
wavelength = planeData.wavelength
nvecs = recips.shape[1]
from data_class import inv_dict
allangs = inv_dict()
for i in range(nvecs):
rI = recips[:,i]
angle_sols = Get_LLNL_Angles(rI,wavelength)
for key in angle_sols.keys():
tth,eta,w = angle_sols[key]
w = mapOme(w,-num.pi,num.pi)
if eta!=num.pi and eta!=-num.pi:
eta = mapOme(eta,-num.pi,num.pi)
if w<omeMin.getVal('radians') or w>omeMax.getVal('radians'):
continue
if w is not None:
#pred_angle_vector = num.array(detectorGeom.xyoToAng(*(px,py,w)))
tmpX, tmpY, tmpO = tmpDG.angToXYO([tth,tth],[eta,eta],[w,w])
tmpX = tmpX[0]
tmpY = tmpY[0]
tmpO = tmpO[0]
if tweak:
tmpX = tmpX + num.random.normal(0,stdev)
tmpY = tmpY + num.random.normal(0,stdev)
tmpO = tmpO + num.random.normal(0,stdev)
tmpTTh, tmpEta, tmpOme = detectorGeom.xyoToAng(tmpX, tmpY, tmpO)
tmpAngs = num.vstack([tmpTTh, tmpEta, tmpOme])
allangs.Add((i,key),(num.array((tmpTTh,tmpEta,tmpOme)),(stdev,stdev,stdev)))
#fangs.append([tmpTTh,tmpEta,tmpOme])
return allangs
def MC_make_angles_nrb(R,U,pVec,detectorGeom,planeData,omeMin,omeMax,tweak = False, stdev = rad(.1)):
angl,axxx = Rotations.angleAxisOfRotMat(R)
Rparams0 = (angl*axxx).flatten()
#import uncertainty_analysis
tmpDG = detector.DetectorGeomGE(detectorGeom, pVec=pVec)
#print 'recip vects...',
recips = planeData.makeRecipVectors(R = R, U = U)
#print 'made'
wavelength = planeData.wavelength
nvecs = recips.shape[1]
from data_class import inv_dict
#allangs = inv_dict()
allangs = []
#import sys
#print "nvecs",nvecs
for j in range(10):
print j,
#print "done"
for i in range(nvecs):
#print i
#sys.stdout.write(str(i)+ " ")
rI = recips[:,i]
#print "rI",rI,tweak
if tweak:
Rparams_tweak = numpy.random.normal([0,0,0],[stdev,stdev,stdev])
#Rparams = Rparams0 + Rparams_tweak
Rtweak = Rotations.rotMatOfExpMap(Rparams_tweak)
#print Rparams0, Rparams
rI = num.dot(Rtweak,rI)
angle_sols = Get_LLNL_Angles(rI,wavelength)
#print rI, angle_sols
for key in angle_sols.keys():
tth,eta,w = angle_sols[key]
w = mapOme(w,-num.pi,num.pi)
if eta!=num.pi and eta!=-num.pi:
eta = mapOme(eta,-num.pi,num.pi)
if w<omeMin.getVal('radians') or w>omeMax.getVal('radians'):
continue
if w is not None:
#pred_angle_vector = num.array(detectorGeom.xyoToAng(*(px,py,w)))
tmpX, tmpY, tmpO = tmpDG.angToXYO([tth,tth],[eta,eta],[w,w])
tmpX = tmpX[0]
tmpY = tmpY[0]
tmpO = tmpO[0]
tmpTTh, tmpEta, tmpOme = detectorGeom.xyoToAng(tmpX, tmpY, tmpO)
tmpAngs = num.vstack([tmpTTh, tmpEta, tmpOme])
#allangs.Add((i,key),(num.array((tmpTTh,tmpEta,tmpOme)),(stdev,stdev,stdev)))
allangs.append([tmpTTh,tmpEta,tmpOme])
return num.array(allangs)
def MC_make_angles_grain(R,U, grainInstance, sigmas,wmin,wmax):
#assert len(gIs) == len(sigmas)
F = dot(R,U)
FinvT = inv(F).T
masterReflInfo = grainInstance.grainSpots
hitRelfId = num.where(masterReflInfo['iRefl'] >= 0)[0]
measHKLs = masterReflInfo['hkl'][hitRelfId, :]
pred_rIs = num.dot( FinvT, num.dot(grainInstance.bMat, measHKLs.T) )
pred_rIs = UnMatlab(pred_rIs)
rIs = []
wavelength = grainInstance.planeData.wavelength
angles = []
for i in range(len(pred_rIs)):
rI = pred_rIs[i]
rI_angle_sol = Get_LLNL_Angles(rI, wavelength)
ct = 0
(s_tth), (s_eta),(s_w) = sigmas[i]
r_tth = float(numpy.random.normal(0, abs(s_tth), 1))
r_eta = float(numpy.random.normal(0, abs(s_eta), 1))
r_w = float(numpy.random.normal(0, abs(s_w), 1))
for key in rI_angle_sol.keys():
tth,eta,w = rI_angle_sol[key]
w = mapOme(w,wmin,wmax)
eta = mapOme(eta,-num.pi,num.pi)
if eta==num.pi:
print 'etapi'
if w is not None and eta is not None:
ct+=1
hit = [tth+r_tth,eta+r_eta,w + r_w]
angles.append(hit)
if ct==2:
print 'double hit', i, rI
if ct==0:
print 'no solution',i,rI,rI_angle_sol
return angles
def MC_make_angles_from_spots_grain(R,U,gwInstance,pVec,wmin,wmax,tweak = False):
pxmin,pxmax = 0,2048
pymin,pymax = 0,2048
tmpDG = gwInstance.detectorGeom.__class__(gwInstance.detectorGeom)
tmpDG.pVec = pVec
wavelength = gwInstance.planeData.wavelength
F = num.dot(R,U)
FinvT = inv(F).T
masterReflInfo = gwInstance.grainSpots
hitRelfId = num.where(masterReflInfo['iRefl'] >= 0)[0]
measHKLs = masterReflInfo['hkl'][hitRelfId, :]
gIs = num.dot(gwInstance.bMat, measHKLs.T)
pred_rIs = num.dot(FinvT, gIs)
import data_class
angles = data_class.inv_dict()
hits =0
for i in range(len(hitRelfId)):
try:
Id = hitRelfId[i]
spotId = masterReflInfo['iRefl'][Id]
rI = pred_rIs[:,i]
'measured angles and uncertainties'
spot = gwInstance.spots._Spots__spots[spotId]
angCOM, angCOM_unc = spot.angCOM(useFit=True, getUncertainties=True)
xyoCOM = num.array(spot.detectorGeom.angToXYO(*angCOM)).flatten()
new_angCOM = tmpDG.xyoToAng(*xyoCOM)
#print 'newang old',new_angCOM,angCOM
mus = num.hstack(new_angCOM).flatten()
mu_uncs = num.hstack(angCOM_unc).flatten()
meas_tth, meas_eta, meas_ome = mus
meas_angle_vector = mus
'predicted angles computation'
rI_xyosol = Get_LLNL_Pixel_Sols_From_Recip_Vector(rI,tmpDG,pVec,wavelength)
# rI_xyosol = Get_LLNL_Angles(rI,wavelength)
hits =0
for key in rI_xyosol.keys():
w,px,py= rI_xyosol[key]
if px<pxmin or px>pxmax:
continue
if py<pymin or py>pymax:
continue
#if eta==num.pi or w ==num.pi:
# continue
'here, eta, w are defined in the range [0,2pi] constrained to be counterclockwise, to match'
w = mapOme(w,-num.pi,num.pi)
#eta = mapOme(eta,-num.pi,num.pi)
if w<wmin or w>wmax:
continue
#print 'meas sol', xyoCOM, (px,py,w)
if w is not None:
pred_angle_vector = num.array(tmpDG.xyoToAng(*(px,py,w)))
#pred_angle_vector = num.array([tth,eta,w])
'found predicted solution matching measured'
print 'pred',pred_angle_vector, mus
pred_sol = pred_angle_vector
if tweak:
m1,m2,m3 = pred_angle_vector
u1,u2,u3 = mu_uncs
#m1 = m1+num.random.normal(0,abs(u1)*tweak)
#m2 = m2+num.random.normal(0,abs(u2)*tweak)
#m3 = m3+num.random.normal(0,abs(u3)*tweak)
m1 = m1+num.random.normal(0,tweak)
m2 = m2+num.random.normal(0,tweak)
m3 = m3+num.random.normal(0,tweak)
pred_angle_vector = num.array([m1,m2,m3])
angles.Add(Id, [pred_angle_vector,mu_uncs])
hits=1
except RuntimeError:
# print 'runtimeerror'
continue
if hits==0:
print 'missing hit',Id,spotId
return angles