Re: [Ifeffit] bond distance resolution and correlation of parameters in MS analyses?

2007-06-06 Thread Matt Newville
HI Mark,

> Any thoughts and opinions would be greatly appreciated as this relates 
> directly to corrections suggested to be made to my PhD thesis!

This is going to re-iterate most of what Bruce said, but since you asked:

> 1)Does the equation for bond distance resolution (r = pi/2deltak) only apply 
> to SS?

No.  It applies to all EXAFS.

> I have held the opinion that this can be applied to MS analysis

You have been right.

> however I have recently been informed that this equation does not correctly 
> describe distance > resolution in MS analyses. The paper in Coord. Chem. Rev. 
> 2005, 249, 141-160 describes this > and is this concordant with the views of 
> the wider EXAFS community?

You were mis-informed.  This paper is profoundly wrong, and is not
concordant with the views of the wider EXAFS community, as defined by
the standards and criteria documents at
 http://www.i-x-s.org/OLD/subcommittee_reports/sc/err-rep.pdf

This paper states that the number of independent points in an XAFS data set is:
N_i = [ 2*(rmax - rmin) * (kmax -kmin) / pi ]   + Sum  D*(N-2)   + 1

Here rmin,rmax,kmin, and kmax are the spectral ranges.  I cannot tell
what the sum is over, but
D is the "dimension with a restrained part of the model (ie, three for
a three-dimensional model)"
and N is "the number of independent atoms within the restrained group
of the model".

The (  Sum D*(N-2) )  term asserts that the number of independent
points in the data is dependent on the model.  This is complete
nonsense.

For what it's worth, the standards and criteria report cited above
recommends using
N_i  =  [ 2*(rmax - rmin) * (kmax -kmin) / pi ]

rounded to the nearest integer.   The report is has a bit more to say,
but note that it is carefully (and deliberately) silent on "+1", "+2",
etc.  This is because N_i is an estimate of the maximum number of
parameters that can be extracted from a signal.  If you're quibbling
whether to add 1 or 2 to this number,  it probably means you should
really subtract 4.


Now, one may apply a variety of modeling approaches (tricks??
assumptions??) to the analysis of multiple scattering in highly
constrained three-dimensional models that are often associated with
organo-metallics.  For example, a histidine ring attached to a metal
will give multiple scattering, and you can usually assert that the
ring is rigid, though you may need to refine its location and
orientation relative to the metal.   That makes the bond distances and
angles (and MS amplitudes) for all the scattering paths from this ring
all dependent on a reduced number of variables.   It does not add
information to the data.

Cheers,

--Matt
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Re: [Ifeffit] bond distance resolution and correlation of parameters in MS analyses?

2007-06-06 Thread Bruce Ravel
On Wednesday 06 June 2007, MarkBondin wrote:
> 2) What is the actual equation which defines the determinacy of a fitting
> procedure and does this differ between SS and MS analyses? For MS analyses
> there has been a recently published equation (Coord. Chem. Rev. 2005, 249,
> 141-160) which takes into acount the number of dimensions used in the
> analyses and is this only relevant to MS analyses of data? This has also
> been expressed in the paper by Binsted (Biochemistry. 1992, 31,
> 12117-12125) however a different equation has been detailed by Stern (Phys.
> Rev. B. 1993, 48, 9825-9827) which I have been using as a guide in my MS
> analyses. Is this acceptable?


 1. I don't know what you mean by the word "determinacy".  In any
case, I thought I made it clear in my last post that, in my
opinion, the differences between SS and MS analysis are in the
physical interpretation and not in the statistical interpretation.
Feff, Ifeffit, and Artemis certainly go to great lengths to
downplay the differences between SS and MS paths in the context of
the formalism of the theory and analysis, instead emphasizing
their differences only in the context of physical interpretation.

 2. Argonne's library only has access to the last year of
Coord. Chem. Rev. and I don't have time this week to go fetch it
from the stacks.  So I cannot comment on that paper.

 3. The paper by Stern should be read with some care.  The argument Ed
makes in that paper can only be true in the case of a perfectly
packed signal.  EXAFS data, although treated as signal processing
problem, is never perfectly packed.  The Nyquist criterion is an
upper bound on the information content, but the actual content of
the data is always somewhat less.  There are some very fine papers
by Rossner and Krappe about using Baysian techniques to find the
actual information content of the EXAFS signal.  The executive
summary is that if think you need Ed's magic "+2", you are
probably overusing the information content of your data.

Most of us here in this list aren't as careful in practice as all
that Baysian stuff.  In general, one tries to stay "well below"
the Nyquist upper bound.  If your fitting parameters make sense
physically, if the correlations are not "too high", and if the
error bars on your parameters are not "too big", then you are
probably not overusing the information content of your data.

What is "too high" and "too big"?  Well, I am purposefully using
squishy language.  It is kind of difficult to use Gaussian
statistical techniques on EXAFS data, despite the fact that that's
exactly what Ifeffit does.  The reason is that Gaussin statistics
presumes that your measurememt errors are statistical and normally
distributed.  In practice, exafs analysis is dominated by
systematic uncertainties.  Things like detector or sample
non-linearities and the approximations made by Feff are much
bigger sources of error than shot noise for most experiments.
Most of those systematic problems are present in your analysis,
but I have no idea how you could possibly quantify them.  Hence I
find myself using squishy language to discuss fit statistics.

Read the papers by the frequent contributors to this mailing
list.  Scott Calvin and Shelly Kelly in particular are careful
EXAFS practitioners who work on tough analysis problems and deal
well with these issues.  Doing what they do may not be as right as
possible, but it certainly ain't wrong.

HTH,
B


-- 
 Bruce Ravel  -- [EMAIL PROTECTED]

 Molecular Environmental Science Group, Building 203, Room E-165
 MRCAT, Sector 10, Advanced Photon Source, Building 433, Room B007

 Argonne National Laboratory phone and voice mail: (1) 630 252 5033
 Argonne IL 60439, USAfax: (1) 630 252 9793

 My homepage:http://cars9.uchicago.edu/~ravel 
 EXAFS software: http://cars9.uchicago.edu/~ravel/software/



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Re: [Ifeffit] help with CoCr bimetallic catalyst

2007-06-06 Thread Anatoly Frenkel
Codruta - it's better off if you have someone walk you through this type of
analysis for the very first time, as it is somewhat involved. You may decide
to come to one of the short courses (the nearest ones will be at the APS in
the end of July, and the NSLS in October - the dates are still being
finalized), or collaborate with someone experienced on the list. As Scott
Calvin is reasonably close to Yale, he may be your best bet. If you are
willing to expand your radius and travel to Brookhaven for a few days, my
postdoc Adele Wang could help too.

Regards,

Anatoly

Anatoly Frenkel
Yeshiva University


-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of
[EMAIL PROTECTED]
Sent: Wednesday, June 06, 2007 11:45 AM
To: Ifeffit@millenia.cars.aps.anl.gov
Subject: [Ifeffit] help with CoCr bimetallic catalyst

I have been, working with a bimetallic Co/Cr catalyst supported on a silica
template for synthesis of single wall carbon nanotubes. Recently I have
performed some analysis at the NSLS. It is clear from the spectra in R space
that the interatomic distances are modified compared to the monometallic
catalyst therefore I am dealing with an alloy.
Does anyone have or know about a model that would allow me to get a
coordination
nomber using Artemis.
Thank you,
Codruta.
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[Ifeffit] help with CoCr bimetallic catalyst

2007-06-06 Thread codruta . zoican
I have been, working with a bimetallic Co/Cr catalyst supported on a silica
template for synthesis of single wall carbon nanotubes. Recently I have
performed some analysis at the NSLS. It is clear from the spectra in R space
that the interatomic distances are modified compared to the monometallic
catalyst therefore I am dealing with an alloy.
Does anyone have or know about a model that would allow me to get a coordination
nomber using Artemis.
Thank you,
Codruta.
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Re: [Ifeffit] bond distance resolution and correlation of parameters in MS analyses?

2007-06-06 Thread Bruce Ravel
On Wednesday 06 June 2007, MarkBondin wrote:
> 1)Does the equation for bond distance resolution (r = pi/2deltak) only
> apply to SS? I have held the opinion that this can be applied to MS
> analysis however I have recently been informed that this equation does not
> correctly describe distance resolution in MS analyses. The paper in Coord.
> Chem. Rev. 2005, 249, 141-160 describes this and is this concordant with
> the views of the wider EXAFS community?


Mark,

Strictly speaking, that equation doesn't have anything to do with
EXAFS.  That is the equation that tells you what your Fourier
component resolution is in a general Fourier analysis problem.  It
just so happens that, in the case of single scattering EXAFS analysis,
that equation is easily interpreted in terms of photoelectron
wavenumber k and SS path length r.

The equation is neither different nor incorrect for MS analysis.
That's true becuase MS analysis isn't any different from SS analysis.
In either case, you do a Fourier transform.  In either case, you
attempt to model Fourier components using the contributions from some
number of scattering geometries as computed by theory.  In either
case, you are asking yourself if you can actually resolve small
differences in phase of the various things that contribute to the fit.

The only difference lies in how you *interpret* the physical meaning
of the Fourier components.  And even then, things aren't so very
different.  In the case of SS analysis, you assert that the R axis is
a measure of "bond length" while for MS analysis the R axis is a
measure of "half path length" -- acknowledging, of course, that there
is a phase shift in the EXAFS equation such that the R axis actually
measures something a bit shorter than the bond or half path length.

Off the top of my head, I don't recall the paper you cite and I most
certainly cannot speak for the "wider EXAFS community".  Speaking for
myself, the physical interpretation of the equation for Fourier
component resolution may change when you consider MS paths, but to
claim that a property of the Fourier transform somehow becomes invalid
when you change the details of the fitting model is just silly.

B


-- 
 Bruce Ravel  -- [EMAIL PROTECTED]

 Molecular Environmental Science Group, Building 203, Room E-165
 MRCAT, Sector 10, Advanced Photon Source, Building 433, Room B007

 Argonne National Laboratory phone and voice mail: (1) 630 252 5033
 Argonne IL 60439, USAfax: (1) 630 252 9793

 My homepage:http://cars9.uchicago.edu/~ravel 
 EXAFS software: http://cars9.uchicago.edu/~ravel/software/

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[Ifeffit] bond distance resolution and correlation of parameters in MS analyses?

2007-06-06 Thread MarkBondin
Hi, I would like general opinions of some EXAFS practioners in regards to the 
most widely accepted methods for bond distance resolution and correlation of 
parameters in both single scattering (SS) and multiple scattering (MS) EXAFS 
refinements and if these can be said to differ?

1)Does the equation for bond distance resolution (r = pi/2deltak) only apply to 
SS? I have held the opinion that this can be applied to MS analysis however I 
have recently been informed that this equation does not correctly describe 
distance resolution in MS analyses. The paper in Coord. Chem. Rev. 2005, 249, 
141-160 describes this and is this concordant with the views of the wider EXAFS 
community?

2) What is the actual equation which defines the determinacy of a fitting 
procedure and does this differ between SS and MS analyses? For MS analyses 
there has been a recently published equation (Coord. Chem. Rev. 2005, 249, 
141-160) which takes into acount the number of dimensions used in the analyses 
and is this only relevant to MS analyses of data? This has also been expressed 
in the paper by Binsted (Biochemistry. 1992, 31, 12117-12125) however a 
different equation has been detailed by Stern (Phys. Rev. B. 1993, 48, 
9825-9827) which I have been using as a guide in my MS analyses. Is this 
acceptable?

Any thoughts and opinions would be greatly appreciated as this relates directly 
to corrections suggested to be made to my PhD thesis!

Many thanks,

Mark

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