Re: [Ifeffit] The possibility of the defect concentration estimation by feff

2022-01-16 Thread Robert Gordon

Hi Iraida,

I am a little confused by your question.
GaAs structure has 8 atoms in unit cell with a = 5.653 Ang. If I had a 
cluster 7 Ang in radius,
that won't give 900 atoms...that is a volume less than 3 x 3 x 3 unit 
cells (216 atoms).


You can calculate for substitutional and interstitial models where the 
Mn is isolated in the cluster,
and compare the results to data by combining (linear combination). If 
the dopants are isolated, this
can give you an estimate of the ratio of substitutional to interstitial. 
If you know the overall
concentration of Mn, you can say something about concentration of 
defects (i.e. interstitial defects

versus substitution).

There is only one central atom to the cluster on which the calculation 
is based.
That central atom is the only absorber for which the calculation is 
done. If you create a model
that has the desired proportions of substitutional and interstitial 
absorbers, the calculation is still

only run on one central atom.

Using cluster size to create the average concentration is not what you 
want to test.

You want to test if the Mn are isolated or clustering near each other.

Clustering changes the local stoichiometry from what one would calculate 
as an average from known

concentration.

You can test for clustering effects with a model that has the central 
atom being either substitutional
or interstitial and additional Mn in nearby shells (interstitial or 
substitutional). For example, you could
calculate for a Mn_Ga with a nearby Mn_Ga, or nearby Mn_i, or both, and 
similarly for Mn_i. If there
is a pronounced effect on the calculation that you don't see in the 
data, you can argue that the Mn
are truly isolated. If there is no pronounced effect, then you would 
have to compare a number of combinations

to see what best approximates with the data.

Does this clarify anything for you?

-R.





On 2022-01-16 1:30 p.m., Iraida N. Demchenko wrote:


Dear All,
Do I understand correctly that using feff calculations it is 
impossible to calculate the concentration of defects in a sample? I'll 
try to explain my question with an example. Let us assume that we have 
a (Ga,Mn)As sample, where Mn is a dopant. Comparing the experimental 
curve (Mn K edge) with the theoretical spectrum, we see that the 
experimental one is well described by a linear combination of two 
theoretical ones, namely, substitutional manganese in the position of 
gallium (Mn_Ga) and interstitial manganese (Mn_i) in proportions of 65 
and 35%, respectively.


Is it possible to recalculate these phases weights (I mean Mn_Ga and 
Mn_i) to the real concentration of the mentioned above defects in the 
sample? For example, for the Mn_Ga model, *one* manganese atom was 
considered per cluster of 900 atoms (FMS 7A). Does it make sense to 
recalculate the stoichiometry (using cluster size) and, subsequently, 
the weights of this model when compared to the experimental curve, 
which will eventually give the selected defect concentration at the 
low level (like ~0.2%). Do I understand it correctly?


I will be very grateful for your help in understanding.

Best,

Iraida.


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[Ifeffit] Larch 0.9.58

2022-01-16 Thread Matt Newville
Hi Folks,

Larch version 0.9.58 has been released.  It should now be installed by
default using all installation mechanisms, and you may see a notice to
update if running xas_viewer.

Coming only 6 weeks after 0.9.57, and with the holidays in between, this is
mostly a set of bug fixes, especially surrounding installation and errors
associated with our use of deprecated features of silx and numpy.Thanks
mostly to Mauro for this, and for updating the documentation for
installation, especially for existing Anaconda Python users, and on Linux.

FWIW, I checked that a fresh install works on Windows 10, MacOS 12, CentOS
7, CentOS 8 Stream, and that "auto-updates" work with "larch -u" or from
XAS Viewer works on MacOS 12 and on Fedora 34.  But, of course, let us know
if you have suggestions, comments, or problems.

There are a few fixes for reading some kinds of data files and with
de-glitching XAS spectra.  The plans discussed in the previous release
message (see
https://millenia.cars.aps.anl.gov/pipermail/ifeffit/2021-December/010345.html)
about saving more complex projects and how to think "reference spectra"
have not had much work done on them.  The request for suggestions and
comments on these topics still stands.

--Matt
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[Ifeffit] The possibility of the defect concentration estimation by feff

2022-01-16 Thread Iraida N. Demchenko
Dear All, 

Do I understand correctly that using feff calculations it is impossible
to calculate the concentration of defects in a sample? I'll try to
explain my question with an example. Let us assume that we have a
(Ga,Mn)As sample, where Mn is a dopant. Comparing the experimental curve
(Mn K edge) with the theoretical spectrum, we see that the experimental
one is well described by a linear combination of two theoretical ones,
namely, substitutional manganese in the position of gallium (Mn_Ga) and
interstitial manganese (Mn_i) in proportions of 65 and 35%,
respectively.  

Is it possible to recalculate these phases weights (I mean Mn_Ga and
Mn_i) to the real concentration of the mentioned above defects in the
sample? For example, for the Mn_Ga model, ONE manganese atom was
considered per cluster of 900 atoms (FMS 7A). Does it make sense to
recalculate the stoichiometry (using cluster size) and, subsequently,
the weights of this model when compared to the experimental curve, which
will eventually give the selected defect concentration at the low level
(like ~0.2%). Do I understand it correctly? 

I will be very grateful for your help in understanding. 

Best, 

Iraida.___
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