CD3 seminar

Speaker: Leander Thiele (Princeton University)
Title: Advancing Cosmology with Robust ML
Date (JST): Thu, Sep 21, 2023, 11:00 - 12:00
Place: Lecture Hall
Abstract: Upcoming cosmological data sets will constitute a qualitative leap in
statistical power and, consequently, sensitivity to complicated
systematics. The potential scientific return could not be more exciting:
from neutrino mass to dark energy to our universe's primordial matter
distribution, cosmological information could bear on fundamental physics
across a wide range of energy scales.
Unlocking this potential, however, will hinge on our ability to
accurately extract the richest information from the measurements.
The non-linear character of the late-time density field calls for novel
analysis methods, often involving analytically intractable probability
distributions. Furthermore, great care will be required in modeling the
formation and evolution of galaxies as well as the phenomenology of
violent small-scale energy release.I will demonstrate how the past
decade of rapid advancements in machine learning sets the stage for
performant and robust methods that will be instrumental in meeting these
Remarks: Lecture Hall + Zoom