Opened 19 months ago
Last modified 11 months ago
#1066 new defect
Add Maier-Saupe type orientational distribution
Reported by: | smk78 | Owned by: | |
---|---|---|---|
Priority: | major | Milestone: | SasView 4.3.0 |
Component: | SasView | Keywords: | |
Cc: | Work Package: | SasView GUI Enhancements |
Description
On testing 4.2 beta User Matt Helgeson expressed dismay that the functional forms for orientational distributions were still the same as those for polydispersity. The issue being that the current distributions (Gaussian, log-normal, etc) are all unphysical for orientaional purposes because they are not periodic. And the array function is mostly useless…since fitting routines cannot change entries in the input array.
@butler asked what distributions would be appropriate.
Matt replied In our experience, the anisotropy/orientation distribution from almost every elongated object we've measured (WLMs, polymers, rodlike particles) follows a Maier-Saupe type distribution. The general functional form involves exponentials of Legendre polynomials. I've attached a couple papers that go into various levels of sophistication in this regard. Eqn. 1 of Picken et al. (Macromolecules 1990) shows the basic functional form that tends to work for elongated systems which show two-fold symmetry. This can be generalized to n-fold symmetry, as in Bhattacharjee et al. (Molecular Physics 1981) eqn. 2.
There are also much more rheologically consistent models that one can achieve by solving the Smoluchowski equation in various situations. For example, for shear flow, some of this was actually worked out by Norm Wagner and Lynn Walker during Lynn's Ph.D. (Macromolecules 1994). However, for a simple functional form for fitting, the Maier-Saupe type equations seem to work pretty well.
Attachments (4)
Change History (13)
Changed 19 months ago by smk78
Changed 19 months ago by richardh
comment:1 Changed 19 months ago by richardh
Here is another paper regarding Maier Saupe - Hardouin et.al. (though I have a note in the FISH manual that eqn (9) here is wrong, its a long time since I looked into this, so I don't recall the details)
comment:2 Changed 19 months ago by richardh
I am already confused, Eqn (6) of Hardouin (which is what I used in FISH) does not seem to me to agree with eqn (1) of Picken, is there more than one definition of "Maier Saupe distribution"?
Before we ask external usrers, has anyone on the sasview tem looked into this previously?
comment:3 Changed 19 months ago by richardh
I don't have access to "molecular physics" for the earlier references, but did stumble across "Evaluation of equatorial orientation distributions" by C. Burger and W. Ruland, J.Appl.Cryst 39( 2006) 889-891, linked below
http://onlinelibrary.wiley.com/doi/10.1107/S0021889806038957/epdf
This says that Leadbetter & Norris made a mistake in 1979. However the gax(beta) in eqn ~10, agrees with Hardouin, but there is yet another function for geq(psi). I suspect that we need more than one orientation function for different directions? Someone needs to talk to an expert.
comment:4 Changed 19 months ago by smk78
There are probably some papers by the likes of Geoff Luckhurst from the 70's/80's that use M-S.
Rob Richardson might be another port of call?
comment:5 Changed 18 months ago by butler
- Milestone changed from SasView 4.2.0 to SasView 4.3.0
- Priority changed from critical to major
comment:6 Changed 18 months ago by smk78
On 1/26/2018 6:59 AM, Katie Weigandt wrote:
Hi Paul and Matt et al,
I am not convinced that you should wait to release the 2D fitting update as it exists if it is found to be functional and corrects the problems and bugs from previous iterations. I think that there is a lot of power to this tool beyond fitting the orientation distribution. For instance, one might fit an annular average to determine the orientation distribution function and then load that distribution in as an array. Once the orientation distribution is determined it can be fixed as a fitting parameter and other form factor parameters can be fit.
That being said I wan't to be clear, that I agree that adding additional distribution averages more relevant to aligned particles is an excellent idea and should still be prioritized. I have an example system with two phases in coexistance where we think the best fit might be bimodal with a fully isotropic population and a partially aligned population. In this case, I would try to fit the data as a sum of two models, one with a fixed isotropic distribution and a second with a fitted orientation distribution. In fact, for maximum power and flexibility if it were possible to accommodate user defined distribution functions that are fittable that would be even better…
comment:7 Changed 18 months ago by smk78
From: Matthew Helgeson
Yes, this is a good idea. The drawback will be that fitting to an annular average collapses the orientation distribution to a single (in-plane) orientation angle distribution, whereas the model fit calls for orientation distributions with two angles (one in-plane and one out-of-plane). What should one then do with the out of plane angle?
comment:8 Changed 18 months ago by smk78
From: Richard Heenan
Dear Matt, Katie and others
Though Paul Butler may follow up with you directly, I have added some comments to ticket 1066, here http://trac.sasview.org/ticket/1066 We can set up others to have access to add to the ticket there if that will help.
I think the sasview team are going to need some help here to see what would be most useful to try code up.
There are 3 polydispersity or “jitter” integrations as Paul Kienzle calls them, for the particle orientation, which are now in particle coordinates, plus 3 angles theta, phi, psi to define the starting orientation of the particle in space. Thus if an integration is needed over only one angle then we should be able to do this in some way.
It would be very helpful to have some people write down exactly what calculations sasview should do and for what forms of distribution function, for say a cylinder and also for say an elliptical cylinder as prototype symmetric and asymmetric particles. [See for example eqns (6)-(9) in the Hardouin et.al. paper, though what is there may or may not be correct???]
We may need several different versions of distribution, and possibly even some new types of integration (though we will avoid this if we can as the underlying integration code will get even more complex).
It will be good to expand the usefulness of sasview for 2d data.
comment:9 Changed 11 months ago by pkienzle
Here's a link to a gisaxs page with Ruland eta and Maier-Saupe distributions:
http://gisaxs.com/index.php/Circular_orientation_distribution_function
Both functions have a single parameter controlling the distribution width, and so a suitable for use in SasView?.
The Maier-Saupe distribution is implemented in examples/weights/maier_saupe.py in the ticket-608-user-defined-weights branch of sasmodels.
Picken et al paper