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====== FitAllB ======

//FitAllB// is tailored to do centre-of-mass (COM) refinements of grain orientations, positions and strain tensors from far-field images of a polycrystalline material. The name //FitAllB// originates because the routine fits all Bi (1), the grain specific reciprocal space metrics, which contain information about the strain states of the individual grains.

It was written by Jette Oddershede, formerly at DTU in Denmark and now working for [[https://xnovotech.com/ | Xnovo Technology ApS]]. The source code, along with a complete manual is available online at [[https://github.com/FABLE-3DXRD/FitAllB]].

Jette Oddershede, Søren Schmidt, Henning Friis Poulsen, Henning Osholm Sørensen, Jonathan Wright and Walter Reimers, Determining grain resolved stresses in polycrystalline materials using three-dimensional X-ray diffraction, //J. Appl. Cryst.// **43**, 539-549 (2010)  doi: 
[[https://doi.org/10.1107/S0021889810012963|10.1107/S0021889810012963]]


===== Capabilities =====

Taken from the [[https://github.com/FABLE-3DXRD/FitAllB/tree/master/doc| manual]]:

<WRAP center round box 80%>
The aim is to be able to handle several hundred illuminated grains and obtain
the strain tensors to an accuracy of 10<sup>−4</sup>. The strain tensors are output both
in the Cartesian grain coordinate system relative to the grain orientation and in
the sample system for overall comparisons, and if the components of the stiffness
tensor C are provided, the stress tensors in the same two representations will also
be output. 

//FitAllB// includes an error estimation routine to give standard deviations
of all refined parameters. In addition the relative volumes of the grains (from the
peak intensities with the possibility to take absorption effects into account) are
refined, so in principle a 3D orientation and stress/strain map of the polycrystal
can be obtained using tessellation. 

Lately an algorithm to extract the peak widths(median 2θ and η) for each grain has been added as an indicator of intragranular
orientation and/or strain gradients.
</WRAP>

===== Application to DAC experiments =====

In DAC experiments, //FitAllB// is a second stage refinement. You use //FitAllB// after finding and indexeding your grains with another piece of software.

===== Usage =====
==== Prerequisites ====
''fitallb.py'' is the script that allows you to refine grain positions and orientations and to compute the strain tensor in the sample. To make it work, you need :
  * the GrainSpotter output file (''.log'')
  * the list of filtered peaks (''.flt'')
  * the ImageD11 parameter file of the phase (''.prm'')
  * the structure file for your phase (''.cif'')
  * optionally, a //res// file, but i don't really know what that is so I don't use it;
  * the input file (''.inp'')

It furthermore requires //PolyXSim// and //Iminuit//. Both can be downloaded with //Anaconda// or is found on //GitHub//.

The input file should have this look : 
<code>
title 'title'
log_file grains.log
flt_file peaks_t50.flt
par_file Olivine.prm
structure_file Forsterite.cif
#res_file .cif
sgno 62
#
w_step 0.5
w_limit -28 28
bg 0
dety_size 2048
detz_size 2048
#beampol_factor 0
#beampol_factor 0
#
crystal_system orthorombic
stress 0
#abs_mu 0
abs_xlim 0.1
abs_ylim 0.1
#
xyz 1 # Fit cms positions on farfield
rod 1 # Fit orientations and thus Rodrigues vectors on farfield
eps 1 # Fit strain tensors on farfield
do 0# Fit cell parameters
#
fixx 0
fixy 0
fixz 0
#rej_ia 1
rej_vol 42
rej_resmean 10
rej_resmedian 5
min_refl 7
#
tol_grain 1e-2
</code>

==== Modifying the parameters ====
Now, about the parameters of the refinement, these are the four lines starting with ''rej_'' and ''min_refl'' (maybe also the ''tol_grain'' line but it didn't do much in my tests..). 

''rej_ia'' is for internal angle, meaning the difference between the position of the measured peak and the position of the corresponding theoretical peak. In my data, I had a hard time decreasing it below 2° but I read that C. Langrand happened to have a maximum of 0.2° in internal angle misorientation. 

''rej_vol'' is linked to the intensity relativly to the volume of the grain (?). This means that the peaks have a too weak intensity. By default, it is set to 10 but I needed to increase it for my data. I succeeded in increasing up to 41 before //FitAllB// crashed (and it still rejected a lot of peaks because of intensity).

''rej_resmean'' and ''rej_resmedian'' define, how strong a single peak is allowed to be compared to the mean/median intensity of a certain grain. If you use the value ''10'' it means that any peak, which is more than 10 times higher intensity compared to the mean/median peak intensity of that grain, is rejected. 

''min_refl'' is the minimum number of peaks you need to validate a grain. As it is a refinement step, during each run the grains will loose the "bad" peaks. If they go below the min_refl threshold, they are rejected. Check your //log-file// before the refinement to see, how many peaks are usually there to make a grain.

==== Running the refinement ====
Edit this input file to your purposes (modify file names, experimental conditions, crystallographic info, ...) and then type this to your command line:

  fitallb.py -i inputfilename.inp

As a result, //FitAllB// will run several fits in the terminal and if it succeeds to refine your grains, it will finish with ''normal termination of fitallb''.

==== Evaluating the results ====
Your current working directory should now contain a new folder named after your input file. In this new folder you can find several output files, which //FitAllB// created during the run. As I understand it now, the most usefull output files are the ''_final.gff'' and the ''_rej files''.

The ''_final.gff'' file contains the final results of the refinement, with the new positions, orientations, stress tensor, and so on of the grains. This is the one you need to keep going with the data processing.
The ''_rej'' files list all the peaks rejected during the refinement and tell you why they were rejected. Most of the time it is a problem of intensity or internal angle (marked with ''ia'').

=== Reported crashs ===
  * __maximum call reached__: Happens when //FitAllB// needs too much refinement loops to complete the calculation and is not powerfull enough to do it completly (?). Decrease your //rej_ia//, //rej_vol// or increase //min_refl// to fix it.
  * __singular matrix__: Mean that fitallb does not have enough information on a grain to refine stress tensor. But same as before, decrease your //rej_ia//, //rej_vol// or increase //min_refl// to fix it. You can also solve this by removing the 'bad' grain in your input //log file//.
  * __ValueError: invalid literal for int() with base 10: 'x,'__ (with x = any number): This happens when you use log-files, which were produced by merging several other log-files with //timelessGrainspotterMerge.py//. The problem can be solved when you search the log-file for two empty lines in a row and reduce them to one. The value of x gives you the grain number where to search for this in the log-file.
  * Issues with the CIF file: Tip: If one (or multiple) of the following errors occur over and over again and you don't know what causes the error, there's a trick: Go to [[https://stokes.byu.edu/iso/isocif.php|ISOCIF]] and recreate your CIF file. If you have already a (not working) CIF file, this procedure takes only 2 minutes. In the ISOCIF output you have to modify the //symmetry_space_group_name_HM// according to the list provided [[https://github.com/FABLE-3DXRD/xfab/blob/master/xfab/sg.py|here]] and add this section:

  loop_
  _atom_type_symbol
  _atom_type_description 
  'Mg' 'Mg' 
  'Fe' 'Fe' 
  'O' 'O'

  * If you don't want to use ISOCIF, here are some ways to deal with all the issues individually:
    * CIF-file issue: __KeyError: u'No such item: _atom_type_symbol'__: Your CIF-file is required to have both ''_atom_type_symbol'' and ''_atom_site_type_symbol''. If one of them is missing, this error will pop up. Check other CIF-files to see how to implement these two things.
    * CIF-file issue: __UnboundLocalError: local variable 'cf' referenced before assignment__: Again the CIF-file: Some old CIF-files contain ''_chemical_formula_sum'' twice (not sure why), one of them empty. Delete the empty one and try again.
    * CIF-file issue: __KeyError: u'p4mnm'__ (or similar): It means that FitAllB cannot read the space group indicated in the CIF-file (wrong abbreviation). If you want to know, how your space group is abbreviated in a way that FitAllB can read it, check here: https://github.com/FABLE-3DXRD/xfab/blob/master/xfab/sg.py By the way: It is not case sensitive and ignores space. 
    * CIF-file issue: __UnboundLocalError: local variable 'unit_cell' referenced before assignment__: You probably have a typo in your crystal system (in your input file). I got rid of it, after I changed "orthorombic" to "orthorhombic".
  * __TypeError: 'NoneType' object has no attribute '_getitem_'__ This error appears during the actual refinement of certain grains. Sometimes it can happen quite late in the refinement (on grain 300 or so), which makes it annoying, when the refinement is running over night and you only realize it next morning. There are two solutions for this: 1) Simply run //FitAllB// again and hope it works this time (sometimes it does actually). 2) If the error comes again and again at the very same grain, you have to delete that grain from the //log-file//. Normally, this would get you in trouble with the numbering, since the consecutive order of the grains gets destroyed, so you need to re-create the //log-file//. To avoid doing this every time when you run into this error, there is a trick: Simply don't delete all of the grain's information but just the majority. For example, keep one peak of the grain. This way, //FitAllB// will skip the grain in the refinement because one peak is lower than any number you usually put in the input file under //min_refl//. Run //FitAllB// again afterwards. Sometimes, you may have to delete several grains until it works.
  * __LinAlgError: Singular matrix__ Use the same strategy as for the previous error in this list: Simply run //FitAllB// again and, if this doesn't work, make the software skip the grain by deleting most of the peaks for that particular grain.

==== Fitgloball ====
''fitgloball.py'' is a script linked to //FitAllB// that does the same kind of things: refining grains. I used it only for refining cell parameters.

It is working the same way as //FitAllB//, with the same input file, just change ''d0'' to 1 instead of 0 to ask the script to refine the cell parameters.

A good advice to use it to refine cell parameters is to index grains with only the lowest tth (where it's easy for GrainSpotter to index peaks) and then use //Fitgloball// on these "perfect" grains. You can then go back to //ImageD11// to modify the parameters and calculate new (and hopefully better) G-vectors, then continue with //GrainSpotter//, //FitAllB//,...