Kavli Institute for Theoretical Physics Courses

Tracing Dark Matter with Stars - Lina Necib

Explore innovative techniques for detecting dark matter using stellar dynamics. Learn how advanced statistical methods and machine learning are revolutionizing our understanding of galactic structure and evolution.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Cosmology - DM Halo - Local Group - Risa Wechsler (Stanford)

Explore cosmology, dark matter halos, and the local group with Stanford researcher Risa Wechsler. Gain insights into cutting-edge astrophysical concepts and their implications for our understanding of the universe.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

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

Explore dwarf galaxy formation using UniverseMachine, a statistical tool for modeling galaxy evolution in cosmological simulations. Learn about abundance matching, multiresolution simulations, and future research directions.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Learning from Simulations - Marc Huertas Company

Explore astrostatistics and machine learning in galaxy formation, comparing models with observations and discussing innovative data analysis techniques for advancing astrophysical understanding.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

The CAMELS Project - Paco Villaescusa Navarro

Exploring the CAMELS project: a large-scale simulation suite for galaxy formation and cosmology, combining hydrodynamics and machine learning to advance our understanding of the Universe.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Unsupervised Learning for Stellar Spectra with Deep Normalizing Flows - Jo Ciuca

Explore unsupervised machine learning techniques for analyzing stellar spectra using deep normalizing flows, with applications in galaxy evolution and big data astronomy.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Towards Astronomical Search by Image - The Hubble Image Similarity Project - Josh Peek

Exploring astronomical image similarity using machine learning, focusing on the Hubble Image Similarity Project to enhance search capabilities and facilitate new discoveries in astrophysics.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Generating High-Fidelity HI Maps Using Score-Based Diffusion Models - Sultan Hassan

Exploring score-based diffusion models to generate high-fidelity HI maps, discussing applications in astrostatistics and machine learning for galaxy formation and evolution studies.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Learning Representations of Galaxies from Simulations and Observations - Suchetha Cooray

Explore advanced data science techniques for analyzing galaxy formation and evolution, bridging simulations with observations to uncover new insights in astrophysics.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Finding Simple Structures in Complex Datasets - Dalya Baron

Exploring data-driven techniques to uncover simple structures in complex astronomical datasets, focusing on galaxy formation and evolution using advanced statistical and machine learning tools.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

FLORAH - Planting Better Merger Trees with Deep Generative Models - Tri Nguyen (MIT)

Explore deep generative models for improved merger tree creation in galaxy formation studies, enhancing our understanding of cosmic structure evolution and linking observations with theoretical models.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Constraining Ωm with Phase-Space Information of Galaxies - Natali Soler Matubaro De Santi

Explore innovative techniques for constraining the matter density parameter using galaxy phase-space data, combining astrostatistics and machine learning to advance our understanding of cosmic structure formation.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Too Hot to Handle - The Role of Supermassive Black Holes in Heating the Low Redshift Intergalactic Medium

Explore the impact of supermassive black holes on intergalactic medium heating at low redshift, focusing on AGN feedback mechanisms and their role in galaxy formation and evolution.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

How Supermassive Black Holes Ignite the Intergalactic Medium - Tales from the Low Redshift Lyman-alpha Forest

Explore how supermassive black holes impact the intergalactic medium through the lens of the low redshift Lyman-alpha forest, offering insights into galaxy formation and evolution.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Prospects for Detecting Gaps in GC Streams with Roman - Christian Aganze

Exploring detection of gaps in globular cluster streams using Roman Space Telescope, applying advanced statistical and machine learning techniques to enhance our understanding of galaxy formation and evolution.

• YouTube
• 28 minutes
• Self-Paced
• Free Video