Modeling Dwarf Galaxy Formation with UniverseMachine - Richie Wang (Stanford)

Explore the application of UniverseMachine to model dwarf galaxy formation in this 26-minute conference talk by Richie Wang from Stanford University. Delve into the vast potential of astrostatistics and machine learning tools in galaxy formation and evolution studies. Gain insights into abundance matching techniques, multiresolution cosmological simulations, and the challenges of modeling high-mass galaxies. Examine the believability of the results, discuss ongoing work on degeneracy and unpublished data, and consider future directions for model constraints. Learn about disk re-simulations, Milky Way simulations, and the Symphony project. Conclude with a summary and engage in a Q&A session to further understand the implications of this research in the field of astrophysics.

Introduction
Dwarf galaxies
Overview
Model
Redshift
Abundance Matching
Multiresolution cosmological simulations
Results
How believable is it
Point fractions
Parameterization
Ongoing work
degeneracy
unpublished data
highmass model
other directions
future directions
model constraints
Disk re simulations
Milky Way simulations
Symphony
Summary
Questions
Question