Assistant Professor
About
Professor Herwig's research uses experiments at particle accelerators to better understand the fundamental forces of nature and constituents of matter. Currently, he focuses on how our understanding of these phenomena could be extended to explain questions posed by electroweak symmetry breaking and Dark Matter: a mysterious substance that is five times as common in the universe as ordinary matter, yet whose presence is understood only through gravitational effects.
Prof. Herwig is a collaborator on the ATLAS Experiment at the CERN Large Hadron Collider (LHC) near Geneva, Switzerland, and has previously worked on the CMS Experiment. At the LHC, his recent focus has been on signatures involving long-lived states and low-momentum particles, predicted by models where Dark Matter originates from several new states of similar mass. To enhance the potential for rare event searches, including these, he develops trigger systems that are capable of performing sophisticated data analysis in real-time with custom, high-speed electronics.
Prof. Herwig is also working to construct the Light Dark Matter eXperiment (LDMX), which aims to produce Dark Matter by colliding energetic electrons into a stationary target using the SLAC LCLS-II near Stanford, California. With this intense beam, the novel "missing-momentum" setup of the experiment should deliver world-leading sensitivity for thermal Dark Matter in the 1-500 MeV/c^2 mass range.
Selected Publications
CH et al., Shedding light on the MiniBoone Excess with Searches at the LHC, (2023), Phys. Rev. D 109, 075049, arXiv: 2310.13042 [hep-ph]
D. Forbes et al., New searches for muonphilic particles at proton beam dump spectrometers, Phys. Rev. D 107 (11 2023) 116026, arXiv: 2203.08192 [hep-ph].
J. Duarte et al., "FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning", 5th Conference on Machine Learning and Systems, 2022, arXiv: 2207.07958 [cs.LG].
CMS Collaboration, Search for supersymmetry in final states with two or three soft leptons and missing transverse momentum in proton-proton collisions at √s=13 TeV, JHEP 04 (2022) 091, arXiv: 2111.06296 [hep-ex].
J. St. John et al., Real-time artificial intelligence for accelerator control: A study at the Fermilab Booster, Phys. Rev. Accel. Beams 24.10 (2021) 104601, arXiv: 2011.07371 [physics.acc-ph].
G. Di Guglielmo et al., A Reconfigurable Neural Network ASIC for Detector Front-End Data Compression at the HL-LHC, IEEE Trans. Nucl. Sci. 68.8 (2021) 2179, arXiv: 2105.01683 [physics.ins-det].
CH, T. Jezo, and B. Nachman, Extracting the Top-Quark Width from Non-Resonant Production, Phys. Rev. Lett. 122.23 (2019) 231803, arXiv: 1903.10519 [hep-ex].
ATLAS Collaboration, Probing the quantum interference between singly and doubly resonant top-quark production in pp collisions at √s = 13 TeV with the ATLAS detector, Phys. Rev. Lett. 121 (15 2018) 152002, arXiv: 1806.04667 [hep-ex].
ATLAS Collaboration, Search for top-squark pair production in final states with one lepton, jets, and missing transverse momentum using 36/fb of √s = 13 TeV pp collision data with the ATLAS detector, JHEP 06 (2018) 108, arXiv: 1711.11520 [hep-ex].
