Hi,
If optimisation is run, then yes. You could also use:
relax> fix('all_spins', fixed=True)
relax> fix('diff', fixed=False)
to get the same effect. The model with just the diffusion tensor
being optimised is also the global model. Does this answer your
questions?
Regards,
Edward
2009/12/14 Tiago Pais <[email protected]>:
> Hi,
> In that case you will be optimizing everything, modelfree models and tensor,
> at the same time, correct? So, the optimization will run not only on the
> diffusion tensor parameters but also on the nature of the diffusion model
> itself, is this it?
> Regards
> TP
>
> -----Original Message-----
> From: [email protected] [mailto:[email protected]] On
> Behalf Of Edward d'Auvergne
> Sent: segunda-feira, 14 de Dezembro de 2009 15:46
> To: Tiago Pais
> Cc: [email protected]
> Subject: Re: AIC to select diffusion model
>
> Hi,
>
> I haven't found a way to make this totally obvious yet. To select
> between these global models, you need to set up the global model. For
> this, the diffusion tensor should not be fixed. If not fixed, then
> the tensor is part of the model and all the model-free models for all
> spins are linked together with the diffusion tensor into the one
> global model. So for each data pipe containing the selected
> model-free models, you just need to call the user function:
>
> relax> fix('all', fixed=False)
>
> I hope this helps!
>
> Regards,
>
> Edward
>
>
>
> 2009/12/14 Tiago Pais <[email protected]>:
>> Hello everyone,
>>
>> Can anyone help me on how to use AIC to select between diffusion models
>> instead of model free models (modelsel.py). Couldn't find any sample
> script
>> that would give me a clue on this.
>>
>> Best regards
>>
>> TiagoP
>>
>>
>>
>> **************************************
>>
>> Tiago Pais, PhD. student
>>
>> Cell Physiology & NMR
>>
>> Instituto de Tecnologia Química e Biológica-Oeiras
>>
>>
>>
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>
>
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