Join Zoom Meeting: https://lbnl.zoom.us/j/94928022788?pwd=emVQWG1mTnhSbHVqekVuenk0VEVQZz09 Title: Waveform estimation and noise spectroscopy at the fundamental quantum limit Abstract: Waveform estimation is the task of measuring a whole function rather than just a few unknown parameters. This is a canonical problem at the frontier of physics (from gravitational-wave observatories to ultralight dark matter haloscopes) and emerging technologies (from quantum imaging to profiling quantum … Read More

Join Zoom Meeting: https://lbnl.zoom.us/j/94928022788?pwd=emVQWG1mTnhSbHVqekVuenk0VEVQZz09 Title: The Waning of the WIMP: From Strong Freeze-In to the Sub-GeV Frontier Abstract: Weakly interacting massive particles (WIMPs) have long been among the most compelling dark matter candidates, motivated in part by the so-called WIMP miracle. However, despite extensive searches through direct, indirect, and collider probes, no conclusive signal has yet been established. In this … Read More

Join Zoom Meeting: https://lbnl.zoom.us/j/94928022788?pwd=emVQWG1mTnhSbHVqekVuenk0VEVQZz09 Title: Enhancements of Small-Scale Structure Abstract: While the concordance LCDM model of cosmology well-describes the observed large-scale structure of the Universe, models of new physics predict enhancements of small-scale power, for which observations are limited and theoretical predictions carry more uncertainty. In this talk, I will discuss how various cosmological observables are or can be used … Read More

Join Zoom Meeting: https://lbnl.zoom.us/j/94928022788?pwd=emVQWG1mTnhSbHVqekVuenk0VEVQZz09 Title: Dark matter substructure as a probe of dark matter microphysics Abstract: The nature of dark matter on the scales of galaxies and clusters remains uncertain. Several alternatives to the cold dark matter paradigm remain theoretically motivated such as Ultralight dark matter, warm dark matter, and self-interacting dark matter. In this talk I first review how … Read More

Join Zoom Meeting: https://lbnl.zoom.us/j/94928022788?pwd=emVQWG1mTnhSbHVqekVuenk0VEVQZz09 Title: Probing Dark Matter in the Milky Way with Physics-Informed Neural Networks Abstract: Physics-informed neural networks (PINNs) offer a mesh-free, fully differentiable approach to the partial differential equations that arise throughout astrophysics. We present two applications of PINNs to Milky Way astronomy that probe the presence and nature of dark matter: ClearPotential and PINNCR. ClearPotential solves … Read More

Join Zoom Meeting: https://lbnl.zoom.us/j/94928022788?pwd=emVQWG1mTnhSbHVqekVuenk0VEVQZz09