Research in the Miller Lab focuses primarily on studying fundamental particles and their interactions -- for example, the quarks and gluons that comprise everyday protons and neutrons. Most notably, we make use of the highest energy proton-proton collisions ever made in a laboratory at the Large Hadron Collider (LHC) at CERN in Geneva, Switzerland.
We build novel instrumentation, high-speed electronics, real-time algorithms for data processing, and cutting-edge analysis techniques for studying these interactions. Data collected using the ATLAS detector allow us to perform some of the most sensitive measurements of the Standard Model of Particle Physics to date, as well as to search for new phenomena produced in the collisions at the LHC.
One of the group's specialties is studying the properties of the experimental signatures of quarks and gluon -- or ``jets.''
We also pursue novel new experiments, such as the MilliQan experiment searching for electrically charged particles that might be produced at the LHC, but missed due to their extremely small fractional charges (a.k.a. milli-charged).
Jesse Liu, Kristin Dona, Gabe Hoshino, Stefan Knirck, Noah Kurinsky, Matthew Malaker, David Miller, Andrew Sonnenschein, and other collaborators, "Broadband solenoidal haloscope for terahertz axion detection" Preprint available at arXiv:2111.12103, accepted at PRL on March 4th, 2022
Kristin Dona, Jesse Liu, Noah Kurinsky, David Miller, Pete Barry, Clarence Chang, Andrew Sonnenschein, "Design and performance of a multi-terahertz Fourier transform spectrometer for axion dark matter experiments" Preprint available at arXiv:2104.07157, to be submitted to the Journal of Infrared, Millimeter, and Terahertz Waves
Chinmaya Mahesh, Kristin Dona, David W. Miller, Yuxin Chen, "Towards an Interpretable Data-driven Trigger Systemfor High-throughput Physics Facilities" NeurIPS Workshop on Machine Learning and the Physical Sciences (also at arXiv:2104.06622)
Jona Bossio (McGill), Kate Pachal (Duke), David Miller (+ ATLAS collaborators), "Jet energy scale and resolution measured in proton-proton collisions at sqrt(s)=13 TeV with the ATLAS detector" Eur. Phys. J. C 81 (2021) 689 [arXiv:2007.02645]
Alexander Bogatskiy, Brandon Anderson, Jan T. Offermann, Marwah Roussi, David W. Miller, Risi Kondor, "Lorentz Group Equivariant Neural Network for Particle Physics" Accepted by ICML 2020 [arXiv:2006.04780]