CanSAS day 1

Today was the first day of the CanSAS meeting (the eighth) held in Tokai this time. Apart from meeting amazing people, I also got the chance to present about the modular data corrections approach (so far no negative opinions), listen to some amazing lectures on data corrections and discuss about corrections as well. Read more »


Following quantum dot growth with McSAS

CC-licensed Image from Argonne national laboratories showing quantum dots in action. Source:

Thanks to Benjamin Abécassis (via Twitter), I got involved in an interesting project. Dr. Abécassis and coworkers had been doing in-situ measurements during synthesis of quantum dots, and were using McSAS to analyse their data. That allowed them to figure out what mechanistic models are unlikely to be valid for this synthesis and highlight one which is consistent with the measurements. Read more »


canSAS-8 meeting announcement.

Combination found in Japan.

There is a very important meeting coming up soon for all those who dedicate themselves to excellence in small-angle scattering, and I for one, am very excited about this one. The canSAS-VIII meeting is full of interesting people giving interesting talks, complemented by plenty of (friendly) discussion sessions that are going to clarify the heading of the data reduction efforts. Read more »


Calculating scattering by hand – example 1


Those who read the older SAXS literature will note liberal use of Fourier transforms to calculate the scattering behaviour of odd-shaped particles. Likewise, the effects of smearing due to (for example) beam shape (think “blurring” of the scattering pattern) can be easily determined using such transforms. It is useful to get a feel for the methods for derivation of such Fourier transforms, so I decided it was time to refresh my rusty Fourier transform skills. Read more »


Why we never may be able to get a calibration curve: a matter of coherence

A field of random size scatterers.

For years, we have been trying to compare scattering patterns from different instruments. While this leads to reasonable results, there are precious few cases of true agreement despite the focus on data corrections (one example of agreement: [0]). My guess: we have not been considering coherence in these comparisons. Read more »