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#Astrostatistics

Showing: 24 courses
Kavli Institute for Theoretical Physics

Learning from Simulations - Marc Huertas Company

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Explore astrostatistics and machine learning in galaxy formation, comparing models with observations and discussing innovative data analysis techniques for advancing astrophysical understanding.
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14 Lesons
34 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

The CAMELS Project - Paco Villaescusa Navarro

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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.
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1 Lesons
27 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

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

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Exploring astronomical image similarity using machine learning, focusing on the Hubble Image Similarity Project to enhance search capabilities and facilitate new discoveries in astrophysics.
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8 Lesons
30 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

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

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Exploring score-based diffusion models to generate high-fidelity HI maps, discussing applications in astrostatistics and machine learning for galaxy formation and evolution studies.
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8 Lesons
27 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Learning Representations of Galaxies from Simulations and Observations - Suchetha Cooray

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Explore advanced data science techniques for analyzing galaxy formation and evolution, bridging simulations with observations to uncover new insights in astrophysics.
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1 Lesons
28 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Finding Simple Structures in Complex Datasets - Dalya Baron

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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.
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1 Lesons
29 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

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

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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.
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16 Lesons
28 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

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

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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.
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10 Lesons
31 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

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

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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.
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7 Lesons
30 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

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

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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.
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1 Lesons
31 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

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

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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.
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1 Lesons
28 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Optimizing Target Selection for Low-Redshift Galaxy Surveys - Elise Darragh Ford

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Explores data-driven techniques for optimizing galaxy survey target selection, enhancing our understanding of galaxy formation and evolution through advanced statistical and machine learning methods.
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1 Lesons
28 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Dust Properties of Galaxies from a Data-Driven Hierarchical Model - John Forbes

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Explore data-driven hierarchical modeling to uncover dust properties in galaxies, revealing insights into galaxy formation and evolution through advanced statistical techniques.
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1 Lesons
30 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Computational and AI Funding Opportunities - Andreas Berlind (NSF)

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Explore NSF funding opportunities for computational and AI research in astrophysics. Learn about available grants and how to apply for support in astrostatistics and machine learning projects.
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1 Lesons
43 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Galaxy Zoo in the Deep Learning Era - Mike Walmsley

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Exploring Galaxy Zoo's evolution with deep learning, focusing on self-supervised techniques and new tools for galaxy morphology analysis in the era of big astronomical data.
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7 Lesons
31 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Galaxy Merger Reconstruction with Generative Graph Neural Networks - Yuan Sen Ting

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Exploring galaxy merger reconstruction using generative graph neural networks, advancing our understanding of galaxy formation and evolution through innovative machine learning techniques.
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1 Lesons
29 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Finding Environmental Measures Sensitive to Halo Properties Using Neural Networks

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Exploring neural networks to identify environmental measures that reveal halo properties in galaxy formation studies, enhancing our understanding of cosmic structure evolution.
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1 Lesons
27 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

The Brightest Cluster Galaxy and Intracluster Light - Louise Edwards

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Explore the Brightest Cluster Galaxy and Intracluster Light in this talk by Louise Edwards. Gain insights into galaxy clusters, their central galaxies, and the diffuse light between them.
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1 Lesons
29 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Learning to Simulate the Universe with Deep Learning - Elena Giusarma

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Explore deep learning techniques for simulating the universe, focusing on innovative approaches to model cosmic structures and enhance our understanding of galaxy formation and evolution.
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1 Lesons
24 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Star Formation Histories of Galaxies Near and Far

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Explore galaxy formation and evolution through star formation histories, using advanced statistical and machine learning techniques to analyze vast datasets from current and future astronomical surveys.
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1 Lesons
25 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Outliers - How I Learned to Love Them, and Why You Should Too

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Discover the value of statistical outliers in galaxy formation studies. Learn how anomalous galaxies challenge current paradigms and drive new insights in astrophysics and cosmology.
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1 Lesons
30 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Tracing Dark Matter with Stars - Lina Necib

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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.
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1 Lesons
30 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

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

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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.
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1 Lesons
29 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

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

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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.
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24 Lesons
26 minutes
On-Demand
Free-Video