Hi Bruce,
I wondered about the same thing but it seems like editors of Physica
Scripta are very reluctant to say anything. I tried repeatedly to send
e-mails to them asking about any approximation when the topical issue on
XAFS 12 will come out but I got no response. So it seems like we have to
patiently wait and check their web site from time to time.
I know it doesn't sound great...
Greetings,
Wojciech Gawelda
*********************************************************************
Wojciech Gawelda
Laboratoire de Spectroscopie Ultrarapide (LSU)
Institut des Sciences et Ingénierie Chimiques (ISIC),
Faculté des Sciences de Base (SB-BSP)
Ecole Polytechnique Fédérale de Lausanne (EPFL)
CH-1015 Lausanne-Dorigny, Switzerland
Tel.: +41 (21) 693 0452
Fax.: +41 (21) 693 0422
E-mail: wojciech.gawelda@epfl.ch
WWW: http://lsu.epfl.ch
*********************************************************************
-----Original Message-----
From: ifeffit-bounces@millenia.cars.aps.anl.gov
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Subject: Ifeffit Digest, Vol 13, Issue 3
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Today's Topics:
1. references for fluorescence corrections (Grant Bunker)
2. XAFS12 (Bruce Ravel)
3. Chi^2-Map question (Norbert Weiher)
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Message: 1
Date: Tue, 2 Mar 2004 22:21:17 -0600 (CST)
From: Grant Bunker
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Today's Topics:
1. Re: question about S02 (passive electron reduction factor) (Matt Newville) 2. *****SPAM***** references for self-absorption correction (Grant Bunker) 3. Correlations (Scott Calvin)
----------------------------------------------------------------------
Message: 1 Date: Mon, 1 Mar 2004 12:16:38 -0600 (CST) From: Matt Newville
Subject: Re: [Ifeffit] question about S02 (passive electron reduction factor) To: XAFS Analysis using Ifeffit Message-ID:
Content-Type: TEXT/PLAIN; charset=US-ASCII
Hi Scott,
First, I'm not sure how your message got tagged as Spam by Argonne's SpamAssassin (words or phrases selling drugs??? huh???), but that happens well before I can do anything about it. I've forwarded this message on as a false positive for spam. For better archiving, I also included the full message you sent below.
Good point. It is much more straightforward to check the uncertainty
the correlation to determine if that could be responsible for the anomalous S02...so I should have said that Yu-Chuan should check the uncertainty of the S02 parameter. If it is very large (say 0.8),
Ifeffit is in effect reporting that it cannot determine S02 well for some reason. At that point, I think it is helpful to see if there is a high correlation, since that may give a clue as to the reason for the large uncertainty.
Knowing the correlations always helps. And stating a best-fit value without an uncertainty is dangerous (one might take an implicit uncertainty, which may not be what you mean).
This is probably a bit off-topic from the original question (where I'd guess self-absorption to be the main issue,....), but let's consider typical fit results: S02= 0.9 +/- 0.1, sigma2= 0.015 +/- 0.005, and a correlation between S02 and sigma2 C_S02_sigma2= +0.90. One could conclude from these that a true value of S02= 1.0 was reasonable. But in order to get to S02= 1.0, sigma2 has to go up to ~= 0.019 (~= sigma2_best + C_S02_sigma2 * delta_sigma2). S02= 0.80 is also reasonable, but this implies sigma2 would drop to around 0.011. The correlation means that, although having either S02= 0.80 OR sigma2= 0.020 would be reasonable,t having both S02= 0.80 AND sigma2= 0.020 is much less likely.
The correlation by itself says nothing about the likelihood of having a true value for S02 of, say, 0.5. There is a chance this can happen, but it's small because the uncertainty in S02 is 0.1. The correlation simply tells you how sigma2 would respond if S02 were 0.5, but nothing more.
So this brings up a (possibly contentious) point. In their reporting recommendations, the IXS suggests reporting high correlations, particularly when they are between parameters that do not routinely show high correlations. What is the reason for this suggestion? I'm not criticizing it...just looking for the rationale.
It's hard to speak for the IXS, but I'd say that correlations are recommended to be reported because they're important statistics. The correlations, along with the best-fit values and uncertainties, help more fully describe the range of plausible results.
It's generally well-known that the parameters (S02,sigma2) and (E0,R) are highly correlated for a single shell of a single data set, and the implications of these are generally understood, I think. Sometimes other variables are correlated, and some people even do complex fits with multiple data sets or generalized variables that are not the simple XAFS parameters ;). In these cases, it may not be obvious how the variables are correlated. I think the IXS committee was concerned about this, and so recommended reporting correlations in such cases. That seems sensible to me.
--Matt
On Sat, 28 Feb 2004, Scott Calvin wrote:
Matt,
Good point. It is much more straightforward to check the uncertainty
the correlation to determine if that could be responsible for the anomalous S02...so I should have said that Yu-Chuan should check the uncertainty of the S02 parameter. If it is very large (say 0.8), then Ifeffit is in effect reporting that it cannot determine S02 well for some reason. At that
I think it is helpful to see if there is a high correlation, since
give a clue as to the reason for the large uncertainty.
So this brings up a (possibly contentious) point. In their reporting recommendations, the IXS suggests reporting high correlations,
when they are between parameters that do not routinely show high correlations. What is the reason for this suggestion? I'm not criticizing it...just looking for th erationale.
--Scott Calvin Sarah Lawrence College
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Message: 2 Date: Mon, 1 Mar 2004 13:53:53 -0600 (CST) From: Grant Bunker
Subject: [Ifeffit] *****SPAM***** references for self-absorption correction To: ifeffit@millenia.cars.aps.anl.gov Message-ID: Content-Type: text/plain; charset="us-ascii" -------------------- Start SpamAssassin results ---------------------- Content analysis details: (7.1 hits, 5.6 required) -4.9 BAYES_00 BODY: Bayesian spam probability is 0 to 1% [score: 0.0000] 6.0 PORN_4 URI: URL uses words/phrases which indicate
6.0 DRUGS_APS BODY: Words and phrases selling drugs
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Wojciech Gawelda