Better with Scattering workshop 2020: Introduction to Scattering - Dr. Glen J. Smales

[@darangza]

Very informative and helpful lecture to people who would like to put their foot in SAXS. I really appreciate sharing the lecture.

[@pushprajprasad1902]

Amazing presentation, thanks a lot for sharing! Looking forward to more videos!

[@torresdrex]

On slide 191, (~34:30), the delta-Q is 0.18 but 0.31 is substituted in the denominator on the last line - what happened there? Looks like 2pi/0.18 is ~ 35 nm.

[@glenjsmales9420]

this is a mistake, it should be 2pi/0.18 as you say

[@talhamasood924]

Highly informative and useful

[@gaiadeangelis5822]

Great presentation, thanks!

[@arthurlee4294]

thanks for sharing this informative presentation.can this ppt file be uploaded?

[@lukekruse9848]

Excellent video. Could you explain the math that goes into the polydispersity curves? The samples that I have non-gaussian probability vs diameter relations and I would like to do something like produce the red curve at 37:33.

[@glenjsmales9420]

Hi, I would suggest trying out SASView or McSAS depending upon your sample (but the red curve in the video is created using SASView). SASView has quite a few different options for fitting, and some nice documentation to go with it, but if you are after some more details I would suggest reaching out to Dr Pauw through the links in the channels "about" section.

[@BrodyPianist]

You can produce it by multiplying each diameter bin by the form factor and then adding them all together (one big matrix multiplication), making sure to normalize by the contribution of each bin.