Elementary Particles Faculty
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Physics
Karsten Heeger
Eugene Higgins Professor of Physics; Director of Wright Laboratory+1 (203) 432-3378 -
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ALPHA, HAYSTAC, RAY
Science Goal: Search for axion dark matter using quantum and microwave technologies.
WL Involvement: Yale is responsible for systems engineering, cryogenics, and magnetics. Lamoreaux and Maruyama are PIs of HAYSTAC, Maruyama is spokesperson of ALPHA and PI of RAY.
ATLAS
Science Goal: Precision tests of the standard model and new physics searches; including characterizing the Higgs Boson and using it to probe for new physics.
WL Involvement: The Yale team has critical responsibilities in the ATLAS collaboration for data quality and detector upgrades. Wright Lab has been the host of R&D and now construction of critical elements of the ATLAS tracker upgrade for the hI-LHC era.
COSINE-100
Science goal: Search for direct detection of dark matter, probing for an annual modulation in the signal reported by the DAMA/ LIBRA collaboration.
WL involvement: Maruyama is the PI and scientific co-spokesperson of COSINE-100.
Mu2e
Science Goal: Search for the conversion of a muon directly to an electron in the field of a nucleus. This process is all but forbidden in the Standard Model, and a signal at Mu2e would be a clear sign of new physics.
WL Involvement: The Demers group is heavily engaged with development on the Mu2e trigger, including writing and optimizing algorithms and leadership in the Trigger and Data Acquisition group. Demers is on the Mu2e publications board and led the “Engaging Non-Experts” group to help onboard new collaboration members.
Elementary Particles News
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Xiran Bai successfully defends thesis, "Quantum Squeezing to Accelerate Axion Dark Matter Searches: From Demonstration to Broad Scan Range"
Bai’s thesis with the HAYSTAC experiment enabled broad range scans that go beyond just small-scale demonstrations.
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Wright Lab research represented at DAMOP conference
Several Wright Lab research groups presented their work at the APS Division of Atomic, Molecular and Optical Physics meeting.
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Arianna García Caffaro successfully defends thesis, "Probing the Higgs CP Structure in the H to tau tau Decay and Quantifying QCD Systematics in Machine Learning-Driven Jet Substructure Techniques"
García Caffaro implemented a new Neural Network-based observable that is preliminarily 40% more sensitive than previous measuring techniques.