Lily Zhao (U of Chicago)

Extreme precision radial velocity (EPRV) measurements, capable of capturing signals with an amplitude of just 10-30 cm/s, are needed to needed to uncover low-mass planets and inform planet formation scenarios, calculate planetary interior composition, and constrain atmospheric models. This need has given rise to innovation in precision spectroscopy at all levels--from the instrumentation to the extraction software through to the astrophysics guiding the final derived RV measurements. We are now in an era of unprecedentedly high-fidelity spectra, which fundamentally redefines how these data can and should be analyzed. I will give an overview of how data-driven, machine-learning algorithms have advanced RV precision, and how they can shape the future of the field.