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20062026
most citedFast inference of deep neural networks in FPGAs for particle physics

438 citations · 4.6k across the 134 of their papers we have counts for

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hep-ex2024

A space-time tracking algorithm for high occupancy events at future colliders

Massimo Casarsa, Sergo Jindariani, Luciano Ristori

We propose to explore the potential advantages of a new class of tracking algorithms loosely inspired by the Hough transform concept and where we include the time of arrival of eac…

physics.acc-ph2024

MuCol Milestone Report No. 5: Preliminary Parameters

Carlotta Accettura, Simon Adrian, Rohit Agarwal +391

This document is comprised of a collection of updated preliminary parameters for the key parts of the muon collider. The updated preliminary parameters follow on from the October 2…

physics.acc-ph2024

Interim report for the International Muon Collider Collaboration (IMCC)

C. Accettura, S. Adrian, R. Agarwal +383

The International Muon Collider Collaboration (IMCC) [1] was established in 2020 following the recommendations of the European Strategy for Particle Physics (ESPP) and the implemen…

hep-ex2024

Higgs Physics at a TeV Muon Collider with detailed detector simulation

Paolo Andreetto, Nazar Bartosik, Laura Buonincontri +24

The Muon Collider is one of the most promising future collider facilities with the potential to reach multi-TeV center-of-mass energy and high luminosity. Due to the significant Hi…

hep-ex2024

ACE Science Workshop Report

Stefania Gori, Nhan Tran, Karri DiPetrillo +20

We summarize the Fermilab Accelerator Complex Evolution (ACE) Science Workshop, held on June 14-15, 2023. The workshop presented the strategy for the ACE program in two phases: ACE…