GAMBIT – A Global And Modular Bsm Inference Tool

Modern science usually provides both copious amounts of data and complicated models for the part of reality it is trying to describe. Often there is even so much data, and the models so complicated, that it becomes difficult to make full use of the data in deciding which models best describe the world around us, and finding their properties. The main goal of the GAMBIT project is to develop a software tool to help physicists do just that.

Read more about the project (mn.uio.no)

Tags: Bayesian inference, Bayesian model averaging, High dimensional inference, Massive parallelism/parallel computing, Model selection, Monte Carlo methods, Optimization, Software framework development, Uncertainty quantification, Physical sciences
Published May 30, 2023 3:20 PM - Last modified Oct. 18, 2023 12:07 PM