Monte-Carlo fitting of isotropic scattering and observability on arXiv

We have now entered the final two weeks before the Scattering-Bonanza that is SAS2012… Are you feeling the pressure yet? With many good talks lined up for that conference, and many good people attending, I am honestly quite excited! I too will be giving my small contribution in the form of two talks, one at the Bonse-Hart satellite meeting, and another at the SAS2012 conference itself (Tuesday, 16:00 at the D4 session).

While there are many good things being prepared (publications, presentation preparations and the likes), also for this website, none of them are quite ready yet. To give you a taste of the upcoming publications, there are two pre-publications of mine available on arXiv.

The first considers the 1D Monte-Carlo model I have been talking about every now and then. Development on the analysis method has been ongoing for quite some time, and it is now in a very useable form. While not all of the latest modifications are in this pre-submission version of the manuscript, some details can be gleaned. It is available here: arXiv:1210.5304

The second paper applies this Monte-Carlo model to study the ageing-induced growth of rod-like precipitates in MgZn alloys, comparing the resulting radii distributions to the distributions found using TEM. This collaborative work between dr. Julian Rosalie (TEM expert) and me shows the symbiotic relation between the two technique very well. In other words, TEM provides morphological details so that the Monte-Carlo method can be applied to extract a size distribution. A very young version of that manuscript can be found here: arXiv:1210.5366

I hope you enjoy some of the results in there, and please talk to me at the SAS2012 conference!

2 Comments

  1. Hi Brian,

    Good to talk to you earlier. Thanks for a very nice talk, and also a very nice website, just checking it out now. We should chat more about Bayesian analysis, you are most of the way there!

    Alex

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  1. Free Code! McSAS: A Monte-Carlo way for retrieving particle size distributions. | Looking At Nothing - A SA(X)S Weblog

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