KITP Program: Building a Physical Understanding of Galaxy Evolution with Data-driven Astronomy
(Feb 27 - Mar 24, 2023)
Coordinators: Peter Behroozi, Tjitske Starkenburg, Paco Villaescusa-Navarro and John Wu
Scientific Advisors: Shirley Ho, Josh Peek, and Romeel Dave

Speakers: Please contact us about file upload for your slides.

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
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
Ming-Feng Ho
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
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
2/06, 9:00am Aleksandra Ciprijanovic
Bridging the gap between astronomical datasets with AI - Domain Shift, Model Robustness and Failure Modes[Slides][Video][CC]
2/06, 9:45am All Participants Moderated discussion[Protected][Video][CC]
2/08, 9:00am Alex Malz
New York University
Tutorial on photo-z's and uncertainties[Video][CC]
2/08, 10:30am All Participants Ethics discussion on carbon footprints
2/10, 9:00am Micol Bolzonella
INAF-OAS Bologna
Millions to billions of photometric redshifts[Video][CC]
2/10, 9:15am Yan Liang
Princeton University
Autoencoding Galaxy Spectra: Redshift Variance and Outlier Detection[Video][CC]
2/10, 9:30am Biprateep Dey
University of Pittsburgh
Calibrated Predictive Distributions for Photometric Redshifts[Video][CC]
2/13-2/17 Week 5 Combining heterogeneous datasets and multi-wavelength astronomy
2/13, 9:00am Yuanyuan Zhang
A few notes about using heterogeneous and multi-wavelength data sets[Slides][Video][CC]
2/13, 9:45am All Participants Moderated discussion[Protected][Video]
2/15, 10:00am Andrew Hearin
Argonne National Laboratory
Tutorial on differential programming with JAX[Video][CC]
2/15, 4:00pm Edward Taylor
Swinburne University of Technology
4HS: What can('t) you do with 6 million low-z galaxy redshifts across the southern hemisphere?[Video][CC]
2/15, 4:15pm Jeff Newman
University of Pittsburgh
Spectroscopic Samples for Photometric Redshifts: Systematic Biases and Unknown Unknowns[Slides][Video][CC]
2/15, 4:30pm Shoubaneh Hemmati
Have we seen enough?[Video][CC]
2/21-2/24 Week 6 Studying galaxies with resolved observations and simulations, and multi-resolution data
2/21, 9:00am Lina Necib
Machine learning methods with resolved stars[Video][CC]
2/21, 9:45am All Participants Moderated discussion[Protected][Video][CC]
2/23, 9:00am Hadi Sotoudeh
University of Montreal
Tutorial on Probabilistic U-Nets[Video][CC]
2/23, 10:30am All Participants Ethics discussion, equal access to expertise, to hardware, to software, to data
2/24, 9:00am Farida Farsian
University of Bologna
Graph-Convolutional Neural Networks as a new tool to extract clustering information of the Cosmic web[Video][CC]
2/27-3/03 Week 7 In-person/Hybrid Program
2/27, 11:00am All Participants Informal meeting/introductions
2/28, 11:00am All Participants Informal meeting/introductions
3/01, 9:00am Josh Peek
Space Telescope Science Institute
Machine Learning and Astronomy[Video][CC]
3/01, 9:45am All Participants Moderated discussion
3/02, 11:00am Alexa Villaume
University of Waterloo
Blackboard discussion[Video][CC]
3/06-3/10 Week 8 In-person/Hybrid Program
3/06, 11:00am All Participants Informal meeting/introductions
3/07, 11:00am Andrew Hearin
Argonne National Laboratory
Probabilistic Predictions and Physics-Informed Priors[Video]
3/07, 11:00am Viviana Acquaviva
City University of New York
Interpretability tools for ML models[Video]
3/08, 9:00am Rachel Somerville
CCA / Flatiron
Connecting theoretical models of galaxy formation with observations [in the era of data driven astrophysics][Video]
3/08, 10:00am All Participants Moderated discussion[Protected][Video]
3/09, 11:00am Marc Huertas-Company
Instituto de Astrofisica de Canarias / Observatoire de Paris / Flatiron Institute
Self-supervised learning[Video]
3/09, 11:30am ChangHoon Hahn
(Princeton University)
Chris Lovell
(University of Portsmouth)
Neural density estimation, simulation-based inference and normalizing flows[Video]
3/09, 11:00am All Participants Moderated discussion
3/09, 4:00pm Risa Wechsler
Learning from billions of galaxies: Can our understanding of galaxy formation keep up with the upcoming data revolution?[Video]
KITP Blackboard Lunch
3/13-3/17 Week 9 In-person/Hybrid Program
3/13, 11:00am All Participants Informal meeting/introductions
3/14, 11:00am Christian Kragh Jespersen
Princeton University
The unreasonable efficiency of GNNs for physics[Video]
3/14, 11:45am Sultan Hassan
(New York University)
Chris Lovell
(University of Portsmouth)
Pushing models to the limit in the search for new physics[Video]
3/15, 9:00am Mike Walmsley
University of Manchester
Review talk on combining the power of citizen science and machine learning[Video][CC]
3/15, 9:45am All Participants Moderated discussion[Protected][Video]
3/16, 11:00am Haowen Zhang
University of Arizona
Data-driven model of galaxy--supermassive black hole connection[Video]
3/16, 11:30am Kartheik Iyer
The intrinsic dimensionality / information content of galaxy observations[Video]
3/21-3/24 Conference: Galaxy Formation and Evolution in the Data Science Era