There is a myriad of proposed theories for Beyond-the-Standard-Model (BSM) physics. Further, each BSM theory comes with a set of free parameters, with the expected phenomenology varying across the parameter space. This great variety of BSM scenarios is mirrored by a diverse field of experiments looking for signs of new physics.
The most powerful approach for assessing the level of agreement between a BSM theory and experimental results is to perform a "global fit" – a comprehensive and statistically rigorous comparison of theory predictions against all the available data. In this talk I will give an introduction to BSM global fits and the recently released Global and Modular BSM Inference Tool (GAMBIT), an open-source tool for large-scale global fits. I will also summarize the results from the first set of physics studies performed by the GAMBIT Collaboration.
