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2025-11-18 07:54 |
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Minimising Event Size, Maximising Physics: Inclusive Particle Isolation for LHCb's Run 3
/ Calvi, Marta (Milan Bicocca U.) ; Fulghesu, Tommaso (Marseille, CPPM) ; Hallett, George (Warwick U.) ; Hartman, Luca (CERN ; Ecole Polytechnique, Lausanne) ; Khanji, Basem (Syracuse U.) ; Kirsebom, Veronica S. (Milan Bicocca U.) ; Latham, Thomas (Warwick U.) ; Lehuraux, Marion (Warwick U.) ; Li, Ching-Hua (Marseille, CPPM) ; Mathad, Abhijit (CERN) et al.
The Run 3 of the LHC brings unprecedented luminosity and a surge in data volume to the LHCb detector, necessitating a critical reduction in the size of each reconstructed event without compromising the physics reach of the heavy-flavour programme. [...]
CERN-LHCb-RD-2025-001 ; arXiv:2511.11487.
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wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation
/ Hawks, Benjamin (Fermilab) ; Weitz, Jason (UC, San Diego) ; Demler, Dmitri (UC, San Diego) ; Tame-Narvaez, Karla (Fermilab) ; Plotnikov, Dennis (Johns Hopkins U.) ; Rahimifar, Mohammad Mehdi (Sherbrooke U.) ; Rahali, Hamza Ezzaoui (Sherbrooke U.) ; Therrien, Audrey C. (Sherbrooke U.) ; Sproule, Donovan (Columbia U.) ; Khoda, Elham E. (UC, San Diego) et al.
As machine learning (ML) is increasingly implemented in hardware to address real-time challenges in scientific applications, the development of advanced toolchains has significantly reduced the time required to iterate on various designs. [...]
FERMILAB-PUB-25-0359-CSAID ; arXiv:2511.05615.
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2025-11-17 11:16 |
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2025-11-15 09:13 |
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2025-11-15 09:01 |
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2025-11-15 05:55 |
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2025-11-15 05:33 |
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2025-11-15 05:33 |
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