Speaker: Matthew Ho (Carnegie Mellon) Title: Galaxy Cluster Mass Estimation Using Deep Learning  Abstract: In this talk, I will discuss how we use modern deep learning models to infer galaxy cluster masses with high precision, reliable uncertainty, and computational efficiency. I will describe our work in using Convolutional Neural Networks (CNNs) to mitigate systematics in the virial […]

Speaker: Lingyuan Ji (John Hopkins) Title: Cosmological Neutrino Perturbations Without The Boltzmann Hierarchy  Abstract: We present a formulation of cosmological perturbation theory where the Boltzmann hierarchies that evolve the neutrino phase-space distributions are replaced by integrals that can be evaluated easily with Fast Fourier transforms. The simultaneous evaluation of these integrals combined with the differential equations for […]

Location: via Zoom Speaker: Julie Pagès (University of Zurich) Title: Different Flavors For Different Particles: Mass Hierarchies, B Anomalies, and Neutrinos  Abstract: Despite many advances in neutrino physics, their masses are still not known and their mass generation remains mysterious. On the other hand, quarks and charged leptons exhibit a very hierarchical mass spectrum which can […]