Comparison of statistical sampling methods with ScannerBit, the GAMBIT scanning module

• Published in: The European physical journal. C, Particles and fields Vol. 77; no. 11; pp. 1 - 49
• Main Authors: Martinez, Gregory D., McKay, James, Farmer, Ben, Scott, Pat, Roebber, Elinore, Putze, Antje, Conrad, Jan
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2017; Springer Nature B.V; SpringerOpen
• Subjects: Algorithms; Astronomy; Astrophysics and Cosmology; Bayesian analysis; Computer simulation; Dark matter; Elementary Particles; Evolution; Hadrons; Heavy Ions; Markov analysis; Markov chains; Measurement Science and Instrumentation; Monte Carlo simulation; Nuclear Energy; Nuclear Physics; Physics; Physics and Astronomy; Quantum Field Theories; Quantum Field Theory; Samplers; Sampling methods; Special Article - Tools for Experiment and Theory; Statistical methods; Statistical tests; String Theory

We introduce ScannerBit, the statistics and sampling module of the public, open-source global fitting framework GAMBIT. ScannerBit provides a standardised interface to different sampling algorithms, enabling the use and comparison of multiple computational methods for inferring profile likelihoods,...