Optimal Autonomous Data Acquisition for Large-Scale Experimental Facilities

Autonomous experimentation has had a significant impact on how many large-scale experimental facilities operate, however; the concept is often linked to mystery and confusion. In this talk, I will take a very practical look at the subject. I will introduce Gaussian-process-driven autonomous experimentation on a very high level, followed by the presentation of a few examples from across large-scale experimental facilities. This talk is also meant as guidance for everyone in the audience who wants to use autonomous experimentation for their research and will present some readily-available tools.