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Denser Environments Cultivate Larger Galaxies

Using Yale supercomputers, astronomers in the Urry Lab have determined for the first time that galaxies in denser environments are as much as 25% larger than their counterparts in less dense regions of the universe.

A recent study published in the Astrophysical Journal revealed that galaxies located in denser environments are up to 25% larger than those in less dense regions, based on an analysis of 8 million galaxies. This discovery helps resolve long-standing debates about how a galaxy’s size relates to its surrounding environment.

The research used a machine-learning tool, GaMPEN, to process large astronomical datasets more efficiently and accurately than previous methods. The findings are significant for understanding galaxy evolution and could improve future astronomical surveys. This work also emphasizes the relationship between galaxy structure and other factors like star formation rates, supermassive black hole activity, and dark matter distribution​.

The finding emerged from the researchers’ previous development of a massive catalog of the shapes and sizes of 8 million galaxies. It offers a comprehensive look at the connection between a galaxy’s structure and environment.

Meg Urry and Aritra Gosh
Meg Urry : Israel Munson Professor of Physics, Yale University

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A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute – Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
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SEQer – Sequence Evaluation in Realtime
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
QuEra at the MGHPCC
Quantum Computing in Renewable Energy Development
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
Monte Carlo eXtreme (MCX) – a Physically-Accurate Photon Simulator
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Measuring Neutrino Mass
Investigating Mantle Flow Through Analyses of Earthquake Wave Propagation
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Fuzzing the Linux Kernel
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Discovering Evolution’s Master Switches
Dexterous Robotic Hands
Developing Advanced Materials for a Sustainable Energy Future
Detecting Protein Concentrations in Assays
Denser Environments Cultivate Larger Galaxies
Deciphering Alzheimer’s Disease
Dancing Frog Genomes
Cyber-Physical Communication Network Security
Avoiding Smash Hits
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Neurocognition at the Wu Tsai Institute, Yale
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Social Capital and Economic Mobility
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