On-the-fly Data Exploration for Condensed Matter Physics

Scientific experiments can collect data at a rate far outpacinghuman capacity to make sense of it. Currently, it is impossible to sufficiently understand the generated data to re-adjust experimental parameters during an ongoing experiment. Thus, the scientist may overlook the most interesting parts of the parameter space, foreclosing new discoveries.

In this project, we will apply new computer science methods to analyze data and adjust parameters while performing an experiment. The result will help the researcher get the most scientific yield out of the experiment. This new way of doing data-intensive experimental science will be validated in a physics experiment studying ultra-fast state changes in solids.