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)