438 citations · 4.6k across the 134 of their papers we have counts for
12 papers · 1 filter
MAIA: A new detector concept for a 10 TeV muon collider
Charles Bell, Daniele Calzolari, Christian Carli +24
Muon colliders offer a compelling opportunity to explore the TeV scale and conduct precision tests of the Standard Model, all within a relatively compact geographical footprint. Th…
Solid State Detectors and Tracking for Snowmass
A. Affolder, A. Apresyan, S. Worm +132
Tracking detectors are of vital importance for collider-based high energy physics (HEP) experiments. The primary purpose of tracking detectors is the precise reconstruction of char…
4-Dimensional Trackers
Doug Berry, Valentina Cairo, Angelo Dragone +14
4-dimensional (4D) trackers with ultra fast timing (10-30 ps) and very fine spatial resolution (O(few m)) represent a new avenue in the development of silicon trackers, enabling…
Promising Technologies and R&D Directions for the Future Muon Collider Detectors
Sergo Jindariani, Federico Meloni, Nadia Pastrone +58
Among the post-LHC generation of particle accelerators, the muon collider represents a unique machine with capability to provide very high energy leptonic collisions and to open th…
Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs
Aneesh Heintz, Vesal Razavimaleki, Javier Duarte +18
We develop and study FPGA implementations of algorithms for charged particle tracking based on graph neural networks. The two complementary FPGA designs are based on OpenCL, a fram…
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta +19
Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering…
A High-performance Track Fitter for Use in Ultra-fast Electronics
E. Clement, M. De Mattia, S. Dutta +14
This article describes a new charged-particle track fitting algorithm designed for use in high-speed electronics applications such as hardware-based triggers in high-energy physics…
Fast inference of deep neural networks in FPGAs for particle physics
Javier Duarte, Song Han, Philip Harris +8
Recent results at the Large Hadron Collider (LHC) have pointed to enhanced physics capabilities through the improvement of the real-time event processing techniques. Machine learni…
Performance Study of the First 2D Prototype of Vertically Integrated Pattern Recognition Associative Memory (VIPRAM)
Gregory Deptuch, James Hoff, Sergo Jindariani +6
Extremely fast pattern recognition capabilities are necessary to find and fit billions of tracks at the hardware trigger level produced every second anticipated at high luminosity…
Test Beam Performance Measurements for the Phase I Upgrade of the CMS Pixel Detector
M. Dragicevic, M. Friedl, J. Hrubec +481
A new pixel detector for the CMS experiment was built in order to cope with the instantaneous luminosities anticipated for the Phase~I Upgrade of the LHC. The new CMS pixel detecto…
CDF Run II Silicon Vertex Detector Annealing Study
M. Stancari, K. Knoepfel, S. Behari +8
Between Run II commissioning in early 2001 and the end of operations in September 2011, the Tevatron collider delivered 12~fb of collisions at TeV…
Operational experience, improvements, and performance of the CDF Run II silicon vertex detector
T. Aaltonen, S. Behari, A. Boveia +57
The Collider Detector at Fermilab (CDF) pursues a broad physics program at Fermilab's Tevatron collider. Between Run II commissioning in early 2001 and the end of operations in Sep…