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Measuring Neutrino Mass

Yale’s Wright Lab utilizes Yale's computing facilities to advance fundamental physics through research in nuclear, particle, and astrophysics, with a focus on neutrinos, dark matter, quantum science, and early Universe observations.

One activity in the lab - Project 8 - aims to measure the mass of the neutrino, an extraordinarily light and elusive fundamental particle that barely interacts with matter. Neutrinos are incredibly abundant, with trillions passing through our bodies every second, yet they weigh at least a million times less than the electron, the next lightest particle. Understanding the mass of neutrinos could provide essential insights into how particles gain mass, which challenges current physics models. In the series of Project 8 experiments, instead of capturing neutrinos directly, researchers measure the energy released during the decay of tritium (a hydrogen isotope). Scientists can determine the "missing" energy corresponding to the neutrino’s mass by precisely detecting the energy of emitted electrons. The initial phase of Project 8 resulted in the development of this novel technique for direct neutrino mass measurements called Cyclotron Radiation Emission Spectroscopy (CRES). The collaborators seek to extend the method to perform more precise measurements of the neutrino mass in the next phases of the experiment.

Wright Laboratory, Yale University

Research projects

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
Simulating Large Biomolecular Assemblies
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
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
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Collaborative projects

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Outreach & Education Projects

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