Publications
I am co-author of hundreds of research articles, full list here.
The following is a selection of publications I directly contributed to:
“Solving Combinatorial Problems at Particle Colliders Using Machine Learning”, Anthony Badea, William James Fawcett, John Huth, Teng Jian Khoo, Riccardo Poggi, Lawrence Lee, Phys. Rev. D 106 (1 July 2022), p. 016001, DOI: 10.1103/PhysRevD.106.016001.
“Top-quark pair product- INSPIREion cross-section measurements in the all-hadronic decay channel at the ATLAS experiment and hardware-based track reconstruction for the ATLAS trigger HL-LHC upgrade”, Riccardo Poggi, University of Geneva, DOI:10.13097/archive-ouverte/unige:151144.
“Measurements of top-quark pair single- and double-differential cross-sections in the all-hadronic channel in pp collisions at $\sqrt{\mathrm{s}}$ = 13 TeV using the ATLAS detector”, The ATLAS Collaboration, Journal of High Energy Physics 2021.1 (Jan. 2021), DOI:10.1007/JHEP01(2021)033.
“Digital Signal Processing in FPGA for Particle Track Reconstruction at the HL-LHC ATLAS”, Riccardo Poggi (ATLAS Collaboration), 2019 8th International Conference on Modern Circuits and Systems Technologies (MOCAST), DOI:10.1109/MOCAST.2019.8741949.
“Design of the ATLAS phase-II hardware-based tracking processor”, Riccardo Poggi (ATLAS Collaboration), Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 936 (2019), DOI:10.1016/j.nima.2018.11.055.
Selected Talks
“All-hadronic resolved differential ttbar cross-section measurements”, Riccardo Poggi (ATLAS Collaboration), 13th International Workshop on Top-Quark Physics, CDS:2738330
“All-hadronic resolved differential cross-section measurement”, Riccardo Poggi (ATLAS Collaboration), LHCTOPWG 2020 (July 2020), CDS:2722502
“Digital signal processing in FPGA for particle track reconstruction at the HL-LHC ATLAS’, Riccardo Poggi (ATLAS Collaboration), 8th International Conference on Modern Circuits and Systems Technologies, CDS:2674924.
Public Lectures
- “How container orchestration can strengthen your micro-services: the approach of Kubernetes (lecture)”, Riccardo Poggi, Inverted CERN School of Computing (Mar. 2019), CDS:2666596.
Posters
- “Design of the ATLAS Phase-II hardware-based tracking processor”, Riccardo Poggi (ATLAS Collaboration), Frontier Detectors for Frontier Physics: XIV Pisa Meeting on Advanced Detectors, CDS:2624037.
Awards
- “Best Student Paper and Presentation on Electronics”, 8th International Conference on Modern Circuits and Systems Technologies (May 2019).
- “Nomination for the Best Student Paper and Presentation Award on Electronics”, 8th International Conference on Modern Circuits and Systems Technologies (May 2019).