Tuesday, Mar 21, 2023 |
| 8:50am |
Lars Bildsten (KITP) |
Welcome[Video] |
| 9:00am |
John Wu (STSCI) |
Distilling physics from astronomical imaging[Slides][Video] |
| 9:30am |
Elise Darragh Ford (Stanford) |
Optimizing Target Selection for Low-Redshift Galaxy Surveys[Video] |
| 10:00am |
Christian Aganze (UCSD) |
Prospects for Detecting Gaps in GC Streams with Roman[Video] |
| 10:30am |
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| 11:00am |
Blakesley Burkhart (Rutgers) |
How Supermassive Black Holes Ignite the Intergalactic Medium: Tales from the Low Redshift Lyman-alpha Forest[Slides][Video] |
| 11:30am |
Megan Tillman (Rutgers) |
Too Hot to Handle: The Role of Supermassive Black Holes in Heating the Low Redshift Intergalactic Medium[Slides][Video] |
| 12:00pm |
Sabrina Appel (Rutgers) |
How the Gas Dynamics Set the Star Formation Rate of Molecular Clouds[Slides][Video] |
| 12:30pm |
|
| 2:00pm |
Diane Salim (Rutgers) |
A physics-informed super-resolution model for model for (astrophysical) turbulence[Video][CC] |
| 2:30pm |
Haowen Zhang (U. Arizona) |
TRINITY: self-consistently modelling the dark matter halo-galaxy-supermassive black hole connection from z = 0-10[Slides][Video][CC] |
| 3:00pm |
GALEVO Conference Participants |
Lightning Talks[Video][CC] |
| 3:30pm |
|
| 4:00pm |
Festa Bucinca (Graduate Center CUNY) |
Can we discover a physical model for galaxy sizes using a data-driven approach?[Video][CC] |
| 4:30pm |
Natali Soler Matubaro De Santi (Flatiron) |
Constraining Ωm with phase-space information of galaxies[Slides][Video][CC] |
| 5:00pm |
Tri Nguyen (MIT) |
FLORAH: Planting Better Merger Trees with Deep Generative Models[Video][CC] |
| 5:30pm |
|
Wednesday, Mar 22, 2023 |
| 9:00am |
Dalya Baron (Tel Aviv U) |
Finding simple structures in complex datasets[Video][CC] |
| 9:30am |
Suchetha Cooray (Nagoya U) |
Learning representations of galaxies from simulations and observations[Video][CC] |
| 10:00am |
Sultan Hassan (New York U) |
Generating high-fidelity HI maps using score-based diffusion models[Slides][Video][CC] |
| 10:30am |
|
| 11:00am |
Peter Behroozi (Arizona) |
MCMCs for neural networks: efficient sampling in millions of dimensions[Slides][Video][CC] |
| 11:30am |
Josh Peek (STSCI) |
Towards Astronomical Search By Image: The Hubble Image Similarity Project[Video][CC] |
| 12:00pm |
Martin P. Rey (Oxford) |
Interpreting the diversity of diffuse stellar halos in the era of large imaging surveys[Video][CC] |
| 12:30pm |
|
| 2:00pm |
Tjitske Starkenburg (Northwestern) |
Galaxy formation histories and their stellar halos[Slides][Video][CC] |
| 2:30pm |
Jo Ciuca (ANU) |
Unsupervised learning for stellar spectra with deep normalizing flows[Video][CC] |
| 3:00pm |
Christian Kragh Jespersen (Princeton) |
Learning Galaxy Properties from Merger Trees[Video][CC] |
| 3:30pm |
|
| 4:00pm |
Paco Villaescusa Navarro (Flatiron) |
The CAMELS project[Video][CC] |
| 4:30pm |
Toby Brown (NRC-CNRC) |
Regulators of molecular gas content and star formation efficiency in cluster and field galaxies[Video][CC] |
| 5:00pm |
Marc Huertas Company (U Paris Diderot) |
Learning from simulations[Video][CC] |
| 5:30pm |
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| 6:00pm |
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| 8:00pm |
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Thursday, Mar 23, 2023 |
| 9:00am |
Risa Wechsler (Stanford) |
Tiny galaxies and detectable dark halos: Physics at and below the threshold of galaxy formation[Video][CC] |
| 9:30am |
Richie Wang (Stanford) |
Modeling dwarf galaxy formation with UniverseMachine[Video][CC] |
| 10:00am |
Elaheh Hayati (Steward Obs.) |
Estimating Andromeda's dark matter halo mass[Video][CC] |
| 10:30am |
|
| 11:00am |
Lina Necib (MIT) |
Tracing Dark Matter with Stars[Video][CC] |
| 11:30am |
Dovi Poznanski (Tel Aviv U) |
Outliers: how I learned to love them, and why you should too[Video][CC] |
| 12:00pm |
Aleksandra Ciprijanovic (Fermilab) |
Towards flexible domain adaptation methods for cross-datasets studies of galaxies[Slides][Video][CC] |
| 12:30pm |
|
| 2:00pm |
Eric Gawiser (Rutgers) |
Star Formation Histories of Galaxies Near and Far[Slides][Video][CC] |
| 2:30pm |
Louise Edwards (Cal Poly) |
The Brightest Cluster Galaxy and Intracluster Light[Video][CC] |
| 3:00pm |
Elena Giusarma (Michigan Tech) |
Learning to Simulate the Universe with Deep Learning[Video][CC] |
| 3:30pm |
|
| 4:00pm |
Christopher Lovell (Portsmouth) |
Predicting Galaxy Populations Conditioned on Cosmological and Astrophysical Parameters using Normalizing Flows and the CAMEL Simulations[Video] |
| 4:30pm |
Haley Bowden (Steward Obs.) |
Finding environmental measures sensitive to halo properties using neural networks[Slides][Video] |
| 5:00pm |
Yuan Sen Ting (ANU) |
Galaxy Merger Reconstruction with Generative Graph Neural Networks[Video] |
| 5:30pm |
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| 6:00pm |
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| 8:00pm |
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Friday, Mar 24, 2023 |
| 9:30am |
Sotiria Fotopoulou (Bristol) |
Classification from real, messy data[Video][CC] |
| 10:00am |
Mike Walmsley (U. Manchester) |
Galaxy Zoo in the Deep Learning Era[Video][CC] |
| 10:30am |
|
| 11:00am |
John Forbes (Flatiron) |
Dust Properties of Galaxies from a Data-Driven Hierarchical Model[Video][CC] |
| 11:30am |
Kartheik Iyer (Columbia) |
The information content of galaxy star formation histories[Video][CC] |
| 12:00pm |
Andreas Berlind (NSF) |
Computational & AI Funding Opportunities[Video][CC] |
| 12:30pm |
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| 2:00pm |
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