What I want to do: apply our method for modeling a 3D dust map to real data, profile the python code to

minimize compute time, sprint with Juna

What I want to learn: data viz with yt (3d rendering and sim reconstruction), limits of GP method with

real data, more intuition for how approximate GP methods work

What I’d like to chat about: interpreting structures in a 3D dust map, including velocity in the dust map,

non-parametric representations of galactic potentials, inference of the MW halo shape/accretion history

from stellar streams, structures in the CMD, modeling and interpreting the phase space distribution

function of stars

What I bring: GP 101 description, data-driven models, curiosity and optimism

Lauren Anderson (Flatiron Institute)