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, ...}