A reference library of data analysis models
12:00-13:30 (UK), 13:00-14:30 (Europe), 07:00-08:30 (US East coast), 21:00-22:30 (Australia East coast):
For many users, one of the barriers to modern data analysis tools is the need to have a background in coding. We have begun creating a common model language to make this easier across different platforms but we also think that the creation of a library of example models would be a useful starting point for users to build an appropriate model for their system. This session will therefore:
- Review the current status
- Review relevant results of the ORSO survey
- Discuss how such a library could work in practice
- Canvas what types of example would be useful
- Notes from the discussion
- Video of the introduction for this session
The use of nested sampling in reflectometry
20:00-21:30 (UK), 21:00-22:30 (Europe), 15:00-16:30 (US East coast), 05:00-06:30 (Australia East coast):
Whilst Bayesian approaches are now common for estimating posterior distributions (to understand parameter uncertainty), data analyses that obtain the Bayesian evidence term for model selection (which of model A or B is a better way of treating the data?) are much scarcer. Nested sampling is a Bayesian statistical technique for estimating this evidence term, as well as being able to estimate the parameter posterior distribution.
- The first half of this session will have a brief introduction to nested sampling and its historical use in neutron reflectometry (45 minutes, speakers Andrew Nelson and Andrew Caruana).
- Video of Andrew Nelson’s Talk
- Video of Andrew Caruana’s Talk
- The second half of the session will discuss possible future uses of nested sampling in reflectometry analysis (45 minutes).
- Notes on the discussion