Dear Edward,

Thanks for your reply - this issue occurs for a small subset of residues. Most 
of the data is well fitted, hence I don't think there are  any systematic 
issues with the data. The errors are estimated based on repeat planes. The data 
is single-scan interleaved and the cpmg pulsing frequencies are randomised.


I have managed to get better fits for these residues on some occasions, 
however, it's not systematic. e.g. I tested LM63 and CR72 models just on one 
residue and the fit was much better. However, when I refitted all the residues 
the improved fit wasn't replicated. It looks like the fit gets stuck in a 
local-minimum and doesn't converge. Perhaps I could share the script and sample 
data with you to see if there are any parameters I can further optimise?


Many thanks again for your help,


Best wishes,


Mark

________________________________
From: Edward d'Auvergne <[email protected]>
Sent: 21 January 2022 11:54:29
To: Bostock, Mark
Cc: [email protected]
Subject: Re: [relax-users] Inconsistent relaxation dispersion fits.

Hi Mark,

Do you have this issue with all your data?  The residuals are quite
small but probably statistically significant and there seems to be a
pattern to it, but these can sometimes be due to incorrect error
estimates and biases respectively.  What techniques did you use for
temperature control and calibration
(https://www.nmr-relax.com/manual/Temperature_control_and_calibration.html)?
 Improper control can lead to bias and "patterns" in residuals. And
how did you estimate the errors for each data point?  If these are
out, the non-linear least squares fitting algorithms can fail.  The
errors influence the curvature of the optimization space (rather than
topology) and incorrect errors can sometimes squeeze valleys in this
space creating false minima.

Regards,

Edward

On Fri, 21 Jan 2022 at 00:06, Mark Bostock <[email protected]> wrote:
>
> Dear relax-users,
>
> I'm trying to fit some methyl-13C SQ CPMG data. I have a number of residues, 
> which appear to have an exchange contribution, but result in poor fits e.g.
>
> I've tried a variety of different relaxation dispersion models (CR72 full, 
> B14 full, NS CPMG 2-site expanded, IT99, TSMFK01) but the fit doesn't 
> improve. I've also tried increasing the grid increment parameter from 11 to 
> 21, but again this doesn't improve the fit. Very occasionaly when I have been 
> testing conditions, a model has accurately fitted the data (in the following 
> NS CPMG 2-site expanded) but I am unable to replicate this consistently.
>
>
> Any suggestions to improve the reliability of this fitting would be very much 
> appreciated.
>
> Many thanks,
>
> Mark
>
>
>
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