| Time |
Speaker |
Title |
| 1/17-1/20 |
Week 1 |
Galaxy evolution and data-driven advances |
| 1/17, 9:00am |
Tjitske Starkenburg
(Northwestern University)
John Wu
(STScI)
Peter Behroozi
(University of Arizona)
Francisco Villaescusa-Navarro
(Flatiron Institute) |
Welcome and Introduction to the virtual program[Protected][Video][CC] |
| 1/17, 9:30am |
Romeel Dave
Royal Observatory, University of Edinburgh |
Introducing the program: Galaxy evolution and data-driven advances[Slides][Video][CC] |
| 1/17, 10:15am |
All Participants |
Moderated discussion[Protected][Video][CC] |
| 1/18, 9:00am |
All Participants |
Lightning & Thunder talks (1 slide/1 min presentations)[Video][CC] |
| 1/18, 9:30am |
Mahdi Qezlou
(UCR)
Ming-Feng Ho
(UCR) |
Tutorial: Large-scale galaxy formation simulations and Machine Learning approaches[Video][CC] |
| 1/18, 4:00pm |
All Participants |
Lightning & Thunder talks (1 slide/1 min)[Video][CC] |
| 1/18, 4:30pm |
Francisco Villaescusa Navarro
Flatiron Institute |
The CAMELS Project[Video][CC] |
| 1/18, 4:45pm |
Benjamin Oppenheimer
UC Boulder |
Multi-Wavelength Parameter Inference for the Circumgalatic Medium (CGM)[Video][CC] |
| 1/19, 9:00am |
John Wu
STScI |
Tutorial: Introduction to Convolutional Neural Networks[Video][CC] |
| 1/20, 9:00am |
Sultan Hassan
New York University |
Extracting all information from future large scale surveys[Video][CC] |
| 1/20, 9:15am |
Sophie Koudmani
Flatiron Institute |
The Role of AGN Feedback in Dwarf Galaxies[Video][CC] |
| 1/20, 9:30am |
Tobias Buck
University of Heidelberg |
Studying galaxy formation with physics informed ML and classical numerical simulations[Video][CC] |
| 1/23-1/27 |
Week 2 |
Galaxy scaling relations and the galaxy-halo connection |
| 1/23, 9:00am |
Eric Gawiser
Rutgers University |
Galaxy scaling relations and the galaxy-halo connection[Slides][Video][CC] |
| 1/23, 9:45am |
All Participants |
Moderated discussion[Protected][Video] |
| 1/24, 9:00am |
All Participants |
Lightning & Thunder talks (1 slide/1 min)[Video][CC] |
| 1/24, 9:30am |
Natali de Santi
(Flatiron Institute/University of Sao Paulo)
Chris Lovell
(University of Portsmouth) |
Tutorial: The galaxy-halo connection and Machine Learning approaches[Video][CC] |
| 1/25, 9:00am |
Peter Behroozi
University of Arizona |
Tutorial: Galaxy scaling relations through working with Universe Machine[Video][CC] |
| 1/25, 10:30am |
Peter Behroozi
University of Arizona |
Ethics discussion: What boundaries should we set for the use of generative models? |
| 1/25, 4:00pm |
All Participants |
Lighting & Thunder talks (1-slide / 1-min) |
| 1/25, 4:30pm |
John Forbes
Flatiron Institute |
Promise and perils of equilibrium models for understanding galaxy scaling relations[Video][CC] |
| 1/25, 4:45pm |
Tomomi Sunayama
University of Arizona |
How to quantify systematics in optical clusters?[Video][CC] |
| 1/27, 9:00am |
Benjamin Horowitz
Lawrence Berkeley National Laboratory |
Discrete to Differentiable: The Gumbel-Softmax Trick and Halo Occupation Distributions[Video] |
| 1/27, 9:15am |
Gillian Beltz-Mohrman
Argonne National Laboratory |
Toward Accurate Modeling of Galaxy Clustering on Small Scales: Halo Model Extensions & Lingering Tension[Slides][Video] |
| 1/27, 9:30am |
Ethan Nadler
Carnegie Observatories / University of Southern California |
The Faint End of the Galaxy-Halo Connection[Slides][Video] |
| 1/27, 9:45am |
Tjitske Starkenburg
Northwestern University |
Apples-to-apples comparisons of simulated and observed galaxy samples[Video] |
| 1/30-2/03 |
Week 3 |
CCA Workshop: Applications of cutting-edge deep learning in astronomy |
| 2/06-2/10 |
Week 4 |
Outliers, failure modes, domain shifts and uncertainties |
| 2/13-2/17 |
Week 5 |
Combining heterogeneous datasets and multi-wavelength astronomy |
| 2/21-2/24 |
Week 6 |
Studying galaxies with resolved observations and simulations, and multi-resolution data |
