ImageD11.refinegrains
index
c:\python25\lib\site-packages\imaged11\refinegrains.py

## Automatically adapted for numpy.oldnumeric Sep 06, 2007 by alter_code1.py

 
Modules
       
numpy.oldnumeric
ImageD11.columnfile
ImageD11.grain
ImageD11.indexing
ImageD11.parameters
ImageD11.transform

 
Classes
       
refinegrains

 
class refinegrains
     Methods defined here:
__init__(self, tolerance=0.01)
applyargs(self, args)
compute_gv(self, grainname, scanname)
Makes self.gv refer be g-vectors computed for this grain in this scan
fit(self, maxiters=100)
generate_grains(self)
getgrains(self)
getpeaks(self, g)
gof(self, args)
<drlv> for all of the grains in all of the scans
loadfiltered(self, filename)
Read in file containing filtered and merged peak positions
loadparameters(self, filename)
printresult(self, arg)
readubis(self, filename)
Read ubi matrices from a text file
refine(self, ubi, quiet=True)
refineubis(self, quiet=True, scoreonly=False)
saveparameters(self, filename)

Data and other attributes defined here:
pars = {'cell__a': 4.1569162000000004, 'cell__b': 4.1569162000000004, 'cell__c': 4.1569162000000004, 'cell_alpha': 90.0, 'cell_beta': 90.0, 'cell_gamma': 90.0, 'cell_lattice_[P,A,B,C,I,F,R]': 'P', 'chi': 0.0, 'distance': 7367.8452301999996, 'fit_tolerance': 0.5, ...}
stepsizes = {'chi': 0.0017453292519943296, 'distance': 0.10000000000000001, 't_x': 0.10000000000000001, 't_y': 0.10000000000000001, 't_z': 0.10000000000000001, 'tilt_x': 0.0017453292519943296, 'tilt_y': 0.0017453292519943296, 'tilt_z': 0.0017453292519943296, 'wavelength': 0.001, 'wedge': 0.0017453292519943296, ...}