Machine learning and microelectronics towards advanced new physics searches and trigger/data acquisition systems, at both current and future high energy particle colliders.
Searches for beyond the Standard Model physics in unusual or uncovered phase space, namely long-lived particle and anomaly detection analyses, and readout electronics development for the High Luminosity ATLAS liquid argon calorimeter.
Adviser: Prof. Masahiro Morii
A. Apresyan, M. Artuso,, J. Gonski, et al [2306.13567] (2023)
J. Butler, R. Chivukula, J. Gonski, et al [2301.06581] (2023)
ATLAS Collaboration, Phys. Rev. D 108 052009 (2023)
ATLAS Collaboration, Phys. Rev. D 108 012012 (2023)
J. Gonski, MDPI Instruments 2022 6(3) 28 (selected as issue cover)
J. Gonski, J. Lai, B. Nachman, I. Ochoa, JHEP 04 156 (2022)
A. Kahn, J. Gonski, I. Ochoa, D. Williams, and G. Brooijmans, JINST 16 P08012 (2021)
G. Kasieczka, B. Nachman, D. Shih, J. Gonski, et al, Rep. Prog. Phys. 84 124201 (2021)
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