MUSCtR is a crude programme written in Python to allow the fitting of data from Neutron Reflectivity experiments (in particular with ISIS Neutron and Muon Source in mind).
More refined programmes are available (Motofit, RasCAL). However, this programme was written to allow fitting of samples with larger surface "undulations".
The programme allows one layer in a given model to be given a variable thickness (characterised by "d_thick"). The programme calculates the total reflectivity from the combination of three reflectivity curves (with the central curve using a greater intensity). A common result is the smoothing of Kiessig fringes.
The programme and a guide are available in the "Files" tab.
If used, please cite this work as:
M. A. Litwinowicz, R. L. Thompson, C. P. Gibson, MUSCtR (2021), https://sourceforge.net/projects/musctr/
(and feel free to let me know you've used it!)
If you have questions/suggestions/problems you can contact matthew.a.litwinowicz@durham.ac.uk
MUSCtR
A programme for fitting Neutron Reflectivity data from "rough" samples
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