KITP Program: Building a Physical Understanding of Galaxy Evolution with Data-driven Astronomy

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
3/21-3/24	Conference:	Galaxy Formation and Evolution in the Data Science Era
3/16, 11:30am	Kartheik Iyer Columbia	The intrinsic dimensionality / information content of galaxy observations[Video]
3/16, 11:00am	Haowen Zhang University of Arizona	Data-driven model of galaxy--supermassive black hole connection[Video]
3/15, 9:45am	All Participants	Moderated discussion[Protected][Video]
3/15, 9:00am	Mike Walmsley University of Manchester	Review talk on combining the power of citizen science and machine learning[Video][CC]
3/14, 11:45am	Sultan Hassan (New York University) Chris Lovell (University of Portsmouth)	Pushing models to the limit in the search for new physics[Video]
3/14, 11:00am	Christian Kragh Jespersen Princeton University	The unreasonable efficiency of GNNs for physics[Video]
3/13, 11:00am	All Participants	Informal meeting/introductions
3/13-3/17	Week 9	In-person/Hybrid Program
3/09, 4:00pm	Risa Wechsler Stanford	Learning from billions of galaxies: Can our understanding of galaxy formation keep up with the upcoming data revolution?[Video] KITP Blackboard Lunch
3/09, 11:00am	All Participants	Moderated discussion
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	Marc Huertas-Company Instituto de Astrofisica de Canarias / Observatoire de Paris / Flatiron Institute	Self-supervised learning[Video]
3/08, 10:00am	All Participants	Moderated discussion[Protected][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]
3/07, 11:00am	Viviana Acquaviva City University of New York	Interpretability tools for ML models[Video]
3/07, 11:00am	Andrew Hearin Argonne National Laboratory	Probabilistic Predictions and Physics-Informed Priors[Video]
3/06, 11:00am	All Participants	Informal meeting/introductions
3/06-3/10	Week 8	In-person/Hybrid Program
3/02, 11:00am	Alexa Villaume University of Waterloo	Blackboard discussion[Video][CC]
3/01, 9:45am	All Participants	Moderated discussion
3/01, 9:00am	Josh Peek Space Telescope Science Institute	Machine Learning and Astronomy[Video][CC]
2/28, 11:00am	All Participants	Informal meeting/introductions
2/27, 11:00am	All Participants	Informal meeting/introductions
2/27-3/03	Week 7	In-person/Hybrid Program
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]
2/23, 10:30am	All Participants	Ethics discussion, equal access to expertise, to hardware, to software, to data
2/23, 9:00am	Hadi Sotoudeh University of Montreal	Tutorial on Probabilistic U-Nets[Slides][Video][CC]
2/21, 9:45am	All Participants	Moderated discussion[Protected][Video][CC]
2/21, 9:00am	Lina Necib MIT	Machine learning methods with resolved stars[Video][CC]
2/21-2/24	Week 6	Studying galaxies with resolved observations and simulations, and multi-resolution data
2/15, 4:30pm	Shoubaneh Hemmati Caltech/IPAC	Have we seen enough?[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, 4:00pm	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, 10:00am	Andrew Hearin Argonne National Laboratory	Tutorial on differential programming with JAX[Video][CC]
2/13, 9:45am	All Participants	Moderated discussion[Protected][Video]
2/13, 9:00am	Yuanyuan Zhang NOIRLab	A few notes about using heterogeneous and multi-wavelength data sets[Slides][Video][CC]
2/13-2/17	Week 5	Combining heterogeneous datasets and multi-wavelength astronomy
2/10, 9:30am	Biprateep Dey University of Pittsburgh	Calibrated Predictive Distributions for Photometric Redshifts[Video][CC]
2/10, 9:15am	Yan Liang Princeton University	Autoencoding Galaxy Spectra: Redshift Variance and Outlier Detection[Video][CC]
2/10, 9:00am	Micol Bolzonella INAF-OAS Bologna	Millions to billions of photometric redshifts[Video][CC]
2/08, 10:30am	All Participants	Ethics discussion on carbon footprints
2/08, 9:00am	Alex Malz New York University	Tutorial on photo-z's and uncertainties[Video][CC]
2/06, 9:45am	All Participants	Moderated discussion[Protected][Video][CC]
2/06, 9:00am	Aleksandra Ciprijanovic Fermilab	Bridging the gap between astronomical datasets with AI - Domain Shift, Model Robustness and Failure Modes[Slides][Video][CC]
2/06-2/10	Week 4	Outliers, failure modes, domain shifts and uncertainties
1/30-2/03	Week 3	CCA Workshop: Applications of cutting-edge deep learning in astronomy
1/27, 9:45am	Tjitske Starkenburg Northwestern University	Apples-to-apples comparisons of simulated and observed galaxy samples[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, 9:15am	Gillian Beltz-Mohrman Argonne National Laboratory	Toward Accurate Modeling of Galaxy Clustering on Small Scales: Halo Model Extensions & Lingering Tension[Slides][Video]
1/27, 9:00am	Benjamin Horowitz Lawrence Berkeley National Laboratory	Discrete to Differentiable: The Gumbel-Softmax Trick and Halo Occupation Distributions[Video]
1/25, 4:45pm	Tomomi Sunayama University of Arizona	How to quantify systematics in optical clusters?[Video][CC]
1/25, 4:30pm	John Forbes Flatiron Institute	Promise and perils of equilibrium models for understanding galaxy scaling relations[Video][CC]
1/25, 4:00pm	All Participants	Lighting & Thunder talks (1-slide / 1-min)
1/25, 10:30am	Peter Behroozi University of Arizona	Ethics discussion: What boundaries should we set for the use of generative models?
1/25, 9:00am	Peter Behroozi University of Arizona	Tutorial: Galaxy scaling relations through working with Universe Machine[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]
1/24, 9:00am	All Participants	Lightning & Thunder talks (1 slide/1 min)[Video][CC]
1/23, 9:45am	All Participants	Moderated discussion[Protected][Video]
1/23, 9:00am	Eric Gawiser Rutgers University	Galaxy scaling relations and the galaxy-halo connection[Slides][Video][CC]
1/23-1/27	Week 2	Galaxy scaling relations and the galaxy-halo connection
1/20, 9:30am	Tobias Buck University of Heidelberg	Studying galaxy formation with physics informed ML and classical numerical simulations[Video][CC]
1/20, 9:15am	Sophie Koudmani Flatiron Institute	The Role of AGN Feedback in Dwarf Galaxies[Video][CC]
1/20, 9:00am	Sultan Hassan New York University	Extracting all information from future large scale surveys[Video][CC]
1/19, 9:00am	John Wu STScI	Tutorial: Introduction to Convolutional Neural Networks[Video][CC]
1/18, 4:45pm	Benjamin Oppenheimer UC Boulder	Multi-Wavelength Parameter Inference for the Circumgalatic Medium (CGM)[Video][CC]
1/18, 4:30pm	Francisco Villaescusa Navarro Flatiron Institute	The CAMELS Project[Video][CC]
1/18, 4:00pm	All Participants	Lightning & Thunder talks (1 slide/1 min)[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, 9:00am	All Participants	Lightning & Thunder talks (1 slide/1 min presentations)[Video][CC]
1/17, 10:15am	All Participants	Moderated discussion[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, 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]
1/17-1/20	Week 1	Galaxy evolution and data-driven advances