2026-02-21 05:00 |
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2026-02-20 15:56 |
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2026-02-20 04:53 |
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Measurement of the Saturation Length of the Self-Modulation Instability
/ Clairembaud, A. (Munich, Max Planck Inst.) ; Turner, M. (CERN) ; Bergamaschi, M. (CERN) ; Ranc, L. (Munich, Max Planck Inst.) ; Pannell, F. (University Coll. London) ; Mezger, J. (Munich, Max Planck Inst.) ; Jaworska, H. (CERN) ; van Gils, N. (CERN ; Groningen U.) ; Farmer, J. (Munich, Max Planck Inst.) ; Muggli, P. (Munich, Max Planck Inst. ; CERN)
The self-modulation (SM) instability transforms a long charged particle bunch traveling in plasma into a train of microbunches that resonantly drives large-amplitude wakefields. [...]
arXiv:2602.16624.
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8.
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2026-02-20 04:53 |
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2026-02-20 04:46 |
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2026-02-19 15:34 |
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2026-02-19 08:29 |
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2026-02-19 06:19 |
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Enabling Low-Latency Machine learning on Radiation-Hard FPGAs with hls4ml
/ Govorkova, Katya (MIT) ; Garcia Pardinas, Julian (MIT) ; Loncar, Vladimir (CERN) ; Nguyen, Victoria (MIT) ; Schmitt, Sebastian (MIT) ; Pizzichemi, Marco (CERN ; Milan Bicocca U.) ; Martinazzoli, Loris (CERN) ; Smith, Eluned Anne (MIT)
This paper presents the first demonstration of a viable, ultra-fast, radiation-hard machine learning (ML) application on FPGAs, which could be used in future high-energy physics experiments. [...]
arXiv:2602.15751.
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2026 - 22.
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2026-02-19 05:00 |
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Impact of front-end parameters of the ARCADIA MD3 on charged particle detection
/ Pantouvakis, C. (Padua U. ; INFN, Padua) ; Garbolino, S. (INFN, Turin) ; Rignanese, M. (Padua U. ; INFN, Padua) ; Affleck, P. (Florida U.) ; Apresyan, A. (Fermilab) ; Azzi, P. (INFN, Padua) ; Bacchetta, N. (INFN, Padua ; Fermilab) ; Bonini, C. (INFN, Padua ; Padua U.) ; Chiappara, D. (Padua U. ; INFN, Padua ; CERN) ; Ciarlantini, S. (INFN, Padua ; Padua U.) et al.
The ARCADIA INFN R&D project developed a Fully Depleted Monolithic Active Pixel Sensor (FD-MAPS) using a customized LFoundry 110 nm CIS process. [...]
FERMILAB-CONF-25-0805-CMS-PPD ; arXiv:2602.15450.
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2026-02-19 04:58 |
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