Go to the content (press return)

Bayesian Inference in MANTID - An Update

Vidal, B.; Oram, E.; Banos, R.; Pardo, L.; Mukhopadhyay, S.; Fernandez-Alonso, F.
Type of activity
Presentation of work at congresses
Name of edition
ICANS 2017 - 22nd Meetig International Collaboration on Advanced Neutron Sources
Date of publication
Presentation's date
Book of congress proceedings
Journal of Physics: Conference Series
https://doi.org/10.1088/1742-6596/1021/1/012012 Open in new window
http://hdl.handle.net/2117/124751 Open in new window
http://iopscience.iop.org/article/10.1088/1742-6596/1021/1/012012/meta Open in new window
In the context of neutron science, Bayesian inference methods have been recently implemented within the MANTID framework [Monserrat D et al. 2015 J. Phys. Conf. Ser. 663 012009 (2015)]. In this contribution, we highlight the advantages of this software package for robust data analysis and subsequent model selection. To this end, we use the celebrated Rosenbrock function to illustrate its merits and strengths relative to classical fitting algorithms. We also introduce the latest additions impleme...
Vidal, B., Oram, E., Banos, R., Pardo, L., Mukhopadhyay, S., Fernandez-Alonso, F. Bayesian Inference in MANTID - An Update. A: International Collaboration on Advanced Neutron Sources. "Journal of Physics: Conference Series". 2018.
Bayesian inference, Bayesian networks, Fitting algorithms, Inference engines, Initial guess, International cooperation, Model Selection, Neutron science, Neutron sources, Neutrons, New options, Rosenbrock functions, Simulated annealing, User friendliness
Group of research
CRnE - Barcelona Research Center in Multiscale Science and Engineering
GCM - Group of Characterization of Materials


  • Vidal, B.L.  (author and speaker )
  • Oram, E.  (author and speaker )
  • Banos, R.A.  (author and speaker )
  • Pardo Soto, Luis Carlos  (author and speaker )
  • Mukhopadhyay, Sajal  (author and speaker )
  • Fernandez Alonso, Felix  (author and speaker )