Examples

• Co-refinement of multiple contrast datasets
• Inequality constraints with refnx
  • Inequality constraints with differential_evolution
  • Inequality constraints during MCMC sampling
• Model selection using refnx and dynesty
• Analysing lipid membrane data
• Creating occupancy/volume fraction profiles
• Batch fitting
• Analytical SLD profiles
  • Oscillatory profile
• Freeform modelling with maximum entropy
• Incoherent Summing for patchy surfaces
• Analysing non-spinflip polarised NR data
• Analysing non-spin flip data (mark2)
• Using different MC packages for Bayesian sampling
  • The Structure
  • ReflectModel, Objective, Curvefitter
  • emcee
  • Sampling with pymc
  • Sampling with dynesty
  • Conclusions
• Using refnx on a cluster with MPI
• Energy and angular dispersive analysis