DEERNet in DeerAnalysis program

[Khalil]

Hi
I am a new in using DEERNet program provided in DeerAnalysis 2019, I would like to know the meaning of the dimensionality parameter found by DEERNet as in some cases I got values below 2 or higher than 3.5.
Regards

[kuprov]

That is the effective dimension of the distribution of the observer spins, see here (Eq 9) for details:

https://doi.org/10.1039/C9CP06111H

I have limited insight into how DEERAnalysis uses our networks; the DEERNet that I can answer any question about is the one we have in Spinach:

https://spindynamics.org/group/?page_id=12

(see the installation instructions and then the example set)

[gjeschke]

This is done as follows: From the distance distributions returned by DEERNet, I compute time-domain signals and then I fit the product of this time-domain signal with a stretched exponential decay to the primary data. The dimensionality parameter is calculated from the strech exponent. If you obtain values below 2 or above 3.5, this is an indication that there are problems with the data set, most probably that the trace is too short compared to the longest distances in your system.

[Khalil]

Many thanks for your kind reply. I will explore more DEERNet either form DeerAnalysis or Spinach.
Regards.