collaborators

6 papers

physics.ins-det2026

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)

Julia Gonski, Jenni Ott, Shiva Abbaszadeh +118

The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environmen…

hep-ex2026

Developing Centimeter-scale-cavity Arrays for Axion Dark Matter Detection in the 100 Micro-electron-volt Range

Erik W. Lentz, Christian R. Boutan, Matthew S. Taubman +1

The cavity haloscope technique has been the most successful approach to date in searching for axion dark matter, owing to a confluence of factors at the GHz scale including the mac…

hep-ex2025

Search for Axion Dark Matter from 1.1 to 1.3 GHz with ADMX

ADMX Collaboration, G. Carosi, C. Cisneros +50

Axion dark matter can satisfy the conditions needed to account for all of the dark matter and solve the strong CP problem. The Axion Dark Matter eXperiment (ADMX) is a direct dark…

hep-ex2025

Axion Dark Matter eXperiment around 3.3 μeV with Dine-Fischler-Srednicki-Zhitnitsky Discovery Ability

C. Goodman, M. Guzzetti, C. Hanretty +46

We report the results of a QCD axion dark matter search with discovery ability for Dine Fischler Srednicki Zhitnitsky (DFSZ) axions using an axion haloscope. Sub-Kelvin noise tempe…

hep-ex2025

Improved Receiver Noise Calibration for ADMX Axion Search: 4.54 to 5.41 eV

M. Guzzetti, D. Zhang, C. Goodman +48

Axions are a well-motivated candidate for dark matter. The preeminent method to search for axion dark matter is known as the axion haloscope, which makes use of the conversion of a…

hep-ex2025

Identifying environmentally induced calibration changes in cryogenic RF axion detector systems using Deep Neural Networks

Andrew Engel, Thomas Braine, Christian Boutan

The axion is a compelling hypothetical particle that could account for the dark matter in our universe, while simultaneously explaining why quark interactions within the neutron do…