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

Peter Lay p.lay at chem.usyd.edu.au
Mon Jun 18 18:19:05 CDT 2007


Dear All

It is unfortunate that the questions that were asked by Mark appeared to be 
phrased is such a way to get the responses that were obtained rather than 
discussing the real issues behind the questions, or whether they reflected 
the information in the Review.  As such, I feel compelled to reply to these 
comments as they are not an accurate reflection of what was detailed in my 
article in Coordination Chemistry Review.  While scientific debate is 
welcome, as are corrections to errors, I believe that is important that 
these information sites should not be used to give incorrect information as 
to the contents of a paper.

1. Nowhere in this Coord Chem Rev article did I state that the SS 
resolution equation does not apply to paths involving MS contributions, so 
the question was incorrectly phrased, as were the responses that claim the 
paper was incorrect in saying this.  What I did say was that MS analyses 
can distinguish metal-ligand bond lengths that differ by less than the 
resolution imposed by this equation if the MS pathways from the different 
ligands are sufficiently different (within the inherent Fourier transform 
resolution) to get around this problem.  There are numerous examples in the 
literature where metal-ligand bond lengths that differ by less than the SS 
resolution have been distinguished in this manner and have been verified by 
comparing crystal structure information with those obtained from MS analyses.

Here is a direct copy of the relevant section from the paper, so I am 
uncertain as to how the contributors to the e-mails can come to the 
conclusion that I stated that the equation does not apply to resolution in 
MS paths.  Clearly, I have stated that it is only when this resolution is 
sufficiently different in other atoms of the restrained ligands that 
metal-ligand bond lengths that have differences less than the SS resolution 
of bond lengths can be distinguished (the article only talked about ligands 
treated as restrained entities).

This limit on the resolution of distances arises because the larger the k 
range, the greater the separation of the individual oscillations at the end 
of the k range. While this equation is often quoted, the resolution of the 
peaks in the FT corresponding to different shells improves as the 
temperature is lowered due to reduction in the Debye-Waller factors, so it 
should only be taken as a reasonable guide.  Thus the use of as large a k 
range as possible not only improves the determinacy of the problem, but it 
also improves the precision and accuracy to which individual metal-ligand 
bond lengths are determined, and whether individual bond lengths can be 
resolved.  With the typical k ranges used in SS XAFS analysis, M-L bond 
differencs have to differ by 0.1-0.2 Å for the oscillations in the XAFS to 
be sufficiently resolved to distinguish between these two bond lengths.  By 
contrast, MS analysis of XAFS data has the ability to distinguish between 
metal-ligand bond distances that differ by a factor that is less than the 
~0.1 Å limit imposed by the SS resolution, provided that the groups to 
which the ligand donor atoms are attached have quite different MS 
contributions, which is often the case.  The differentiation of M-L bond 
distances that are less than the resolution obtainable with SS analysis 
relies on the MS contributions of other atoms within the ligands, since 
these normally have sufficiently different frequencies of oscillations in 
the XAFS so that they can be resolved.
The MS contributions are most important in the low k range [18] and hence, 
the most accurate and precise bond length determinations in terms of 
resolution of different shells (and three-dimensional structural 
determination) will be obtained when both a large k range and all of the 
low k range data are used in the fitting procedure.

What do the above comments mean in practice?  It means that if a complex 
has ligands all of the same type and angles that involve the M-ligand bond 
and the ligand are essentially the same, then MS analysis cannot improve 
over SS on separating bond distances that differ by less than the SS 
resolution in the FT.  However, if ligands of the same type are at 
different angles with respect to the metal-ligand axes or have different 
ligands adjacent or opposite to them, or if different ligands are at 
similar distances, then there is almost certainly a range of MS paths that 
have half distances that differ by more than the resolution given by the 
equation and, hence, the individual metal-ligand distances can be 
distinguished by the use of MS fitting within the constraints of the 
equation that was given, when they cannot be distinguished by SS fitting.

2. With regard to point 2, yes the equation should have been more 
accurately described as the number of independent observations rather than 
the number of independent points in reference to equation 24 in the 
review.  The number of independent observations is a combination of the 
number of independent points in the EXAFS data plus the number of 
independent observations obtained from crystallography that are included in 
the restrained model, as described in the Binsted, Strange and Hasnain 
article.  The equation (or variations of it, as pointed out by the comments 
below) is, however, appropriate for use in estimating the value of the 
number of independent observations that are included in restrained MS 
modeling for fits to EXAFS data.  This is not only used in such EXAFS 
analyses but also extensively, and for a long time, in protein 
crystallography to increase the degree to which a fit is overdetermined or 
to prevent an underdetermined fit to the data.  As pointed out by Matt, 
this is often used for relatively rigid ligands, such as imidazoles; it can 
also be used for flexible ligands where the internal bond lengths vary over 
a narrow range that is defined by X-ray crystallography, but one of more 
angle(s) have significant flexibility.  For the former case, the whole 
ligand is moved as an essentially rigid entity, in much the same way as a 
single atom in the fitting procedure.  The essentially fixed (within small 
ranges) bond angles and bond lengths involving this group lead to the extra 
term in the equation that is the number of independent observations that 
are included in the model and, in a restrained model, this increases the 
value of N/p, even though the value of p does not change (i.e., the 
positional parameters within the imidazole, for instance, are also fitted 
but within a very narrow range that is consistent with the variation 
observed in accurate X-ray crystallography structures).  If these bond 
lengths and angles (and/or Debye-Waller values) were constrained, then the 
value of p would also decrease making the problem more overdetermined.  The 
Debye-Waller factors can be calculated for atoms in a ring in order to 
reduce the value of p, but extreme care has to be taken in the use of these 
values in constrained fits, since they take no account of disorder problems 
in the crystal or solution and, hence, could result in constrained values 
that are artificially low and which would lead to problems in the fitting 
procedure.

The answer to the question is that the Stern paper discusses the number of 
independent points in the EXAFS data and applies to both SS and MS 
fitting.  However, for restrained MS fits, the number of independent 
observations that should be used in assessing the degree to which the 
problem is determined in the fitting procedure is that described in the 
Binsted, Strange and Hasnain paper (or something similar).  The latter type 
of fitting was that described in the Coordination Chemistry Rev article and 
presumably has been used in the work described by Mark.

All the best
Peter

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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From: Bruce Ravel <bravel at anl.gov>
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Subject: Re: [Ifeffit] bond distance resolution and correlation of
         parameters in MS analyses?
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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  ---------------------------------------------- bravel at anl.gov

  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, USA                                fax: (1) 630 252 9793

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



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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  ---------------------------------------------- bravel at anl.gov
>
>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, USA                                fax: (1) 630 252 9793
>
>My homepage:    http://cars9.uchicago.edu/~ravel EXAFS software: 
>http://cars9.uchicago.edu/~ravel/software/
>
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>From: MarkBondin <mibondin at three.com.au>
>To: "ifeffit at millenia.cars.aps.anl.gov" <ifeffit at millenia.cars.aps.anl.gov>
>Date: Wed, 06 Jun 2007 22:13:03 +1000 (EST)
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>Subject: [Ifeffit] bond distance resolution and correlation of parameters
>  in MS analyses?
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>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
>
>_

Professor Peter A. Lay FAA
ARC Australian Professorial Fellow and Personal Chair in Inorganic 
Chemistry
Centre for Heavy Metals Research
School of Chemistry
The University of Sydney
NSW 2006
Australia
Tel: +61-2-9351 4269
Fax: +61-2-9351 3329
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