July 29, 2015 to August 6, 2015
World Forum
Europe/Amsterdam timezone

Bayesian Approach to Galactic Cosmic Ray Propagation

Aug 1, 2015, 3:30 PM
Amazon Foyer (World Forum)

Amazon Foyer

World Forum

Churchillplein 10 2517 JW Den Haag The Netherlands
Board: 184
Poster contribution CR-TH Poster 2 CR


Igor Moskalenko (Stanford University)


The fully Bayesian approach to the problem of deriving constraints for cosmic ray (CR) model parameters has several advantages. These are: (i) an efficient global scan of the whole parameter space allowing us to explore and take into account parameter correlations and degeneracies, (ii) a best-fit point and statistically well-defined errors on the parameters, (iii) the ability to include and marginalize over "nuisance" parameters (such as modulation potential and error rescaling parameters) making the analysis more robust. For this study, we use the latest version of the CR propagation code GALPROP together with the BAMBI code, the most efficient Bayesian analysis code available to date that combines MultiNest with Neural networks. The results of the analysis will be reported during the conference.
Collaboration -- not specified --
Registration number following "ICRC2015-I/" 382

Primary authors

Aaron Vincent (IPPP, Durham University) Gudlaugur Johannesson (Science Institute, University of Iceland) Roberto Ruiz De Austri (IFIC)


Andrew Strong (MPE fuer extraterrestrische Physik) Elena Orlando (Stanford University) Igor Moskalenko (Stanford University) Roberto Trotta (Imperial College London) Troy Porter (Stanford University)

Presentation materials

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