mailRe: Full analysis: prolate and oblate


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Posted by V.V. on January 06, 2011 - 19:16:
Ok, looks like "diff_min.py" is already setup to do everything I
wanted. :-) The problem with the prolate/oblate uncertainty still
exists though. I have a feeling that the constraint for Da=>0 or <=0
is removed by the statement fix('diff', fixed=False). As a workaround
at the moment I use the following in the "diff_min.py":

    fix('diff', fixed=False)
    cdp.diff_tensor.spheroid_type = 'prolate'

This seems to do the trick.

Vitaly




On Wed, Jan 5, 2011 at 16:14, V.V. <vvostri@xxxxxxxxx> wrote:
Hello,

I am trying to optimize the diffusion tensor outside of
"full_analysis.py", to avoid this prolate/oblate issue. I understand
that the first round should be models tm0-tm9, followed by model
selection, while the latter ones should alternate between the tensor
optimization and model-free parameters fitting. I am not entirely sure
how to start though. Should I:

1. Take the results from 'local_tm/aic', fix spins, initialize the
diffusion tensor and then run grid search + minimization, then fix the
tensor and optimize model-free parameters?

or

2. Fix spins, initialize the diffusion tensor and perform m0-m9 runs
followed by model selection, and after that fix the tensor and
optimize MF? This seems to be what "diff_min.py" does.

Thank you,
Vitaly


On Sat, Dec 18, 2010 at 23:25, V.V. <vvostri@xxxxxxxxx> wrote:
Hello,

I have performed a "full_analysis" run, and the Chi2 values for
prolate and oblate models were reported to be identical. I have
checked the contents of the /prolate/round_**/opt, and the results
file appears to contain the data for the oblate model:

================
<diff_tensor desc="Diffusion tensor" type="spheroid">
<Da ieee_754_byte_array="[144, 224, 168, 43, 17, 72, 82, 193]">
               -4792388.6821824461
           </Da>
<fixed>
               False
           </fixed>
<phi ieee_754_byte_array="[127, 197, 226, 164, 9, 205, 0, 64]">
               2.1001160508828316
           </phi>
<spheroid_type>
               'oblate'
           </spheroid_type>
<theta ieee_754_byte_array="[157, 42, 47, 69, 3, 109, 252, 63]">
               1.7766144468793421
           </theta>
<tm ieee_754_byte_array="[131, 104, 243, 90, 176, 172, 60, 62]">
               6.6763176508168525e-09
</tm>
</diff_tensor>
================

So, does it mean that the system is converging to the oblate model in
the prolate pipe? I thought the Da sign is constrained during the
search.

Thank you,
Vitaly





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