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The new particle accelerators and its experiments create a challenging data processing environment, characterized by large amount of data where only small portion of it carry the expected new scientific information. Modern detectors, such…

Data Analysis, Statistics and Probability · Physics 2016-11-17 Erez Etzion , David Primor , Giora Mikenberg , Nir Amram , Hagit Messer

Measurement and analysis of high energetic particles for scientific, medical or industrial applications is a complex procedure, requiring the design of sophisticated detector and data processing systems. The development of adaptive and…

Computational Physics · Physics 2025-10-30 Tobias Kortus , Ralf Keidel , Nicolas R. Gauger

We introduce a new pattern recognition algorithm for track finding in High Energy Physics Experiments based on an extension of the Hough Transform to multiple dimensions. A remarkable property of this algorithm is that the execution time is…

High Energy Physics - Experiment · Physics 2024-02-07 Luciano Ristori

Particle track reconstruction is the most computationally intensive process in nuclear physics experiments. Traditional algorithms use a combinatorial approach that exhaustively tests track measurements ("hits") to identify those that form…

Computer Vision and Pattern Recognition · Computer Science 2022-04-29 Polykarpos Thomadakis , Angelos Angelopoulos , Gagik Gavalian , Nikos Chrisochoides

When a $\gamma$-ray interacts in a semiconductor detector, the resulting electron-hole charge clouds drift towards their respective electrodes for signal collection. These charge clouds will expand over time due to both thermal diffusion…

Instrumentation and Methods for Astrophysics · Physics 2023-04-20 Steven E. Boggs

The e+e- linear collider physics programme sets highly demanding requirements on the accurate determination of charged particle trajectories close to their production point. A new generation of Vertex Trackers, based on different…

High Energy Physics - Experiment · Physics 2007-05-23 Marco Battaglia , Massimo Caccia

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 framework for writing programs that execute across heterogeneous…

The major challenge posed by the high instantaneous luminosity in the High Luminosity LHC (HL-LHC) motivates efficient and fast reconstruction of charged particle tracks in a high pile-up environment. While there have been efforts to use…

A new high-precision detector for studying neutrons from beta-delayed neutron emission and direct reaction studies is proposed. The Neutron dEtector with Xn Tracking (NEXT) array is designed to maintain high intrinsic neutron detection…

Sparse static detector networks in urban environments can be used in efforts to detect illicit radioactive sources, such as stolen nuclear material or radioactive "dirty bombs". We use detailed simulations to evaluate multiple…

Instrumentation and Detectors · Physics 2025-02-13 E. Rofors , N. Abgrall , M. S. Bandstra , R. J. Cooper , D. Hellfeld , T. H. Y. Joshi , V. Negut , B. J. Quiter , M. Salathe

We present a new approach to tracking of radiation sources moving on smooth trajectories which can be approximated with piece-wise linear joins or piece-wise linear parabolas. We employ the use of cheap binary proximity sensors which only…

Optimization and Control · Mathematics 2016-08-03 Henry E. Baidoo-Williams

This thesis presents the work carried out in the testing of the ATLAS Phase-II Upgrade electronic systems in the future strips tracker after 2023, to be installed for operations in the HL-LHC period. The high luminosity and number of…

Instrumentation and Detectors · Physics 2017-07-27 Carlos García-Argos

One of the most important problems of data processing in high energy and nuclear physics is the event reconstruction. Its main part is the track reconstruction procedure which consists in looking for all tracks that elementary particles…

Machine Learning · Computer Science 2019-10-02 Dmitriy Baranov , Sergey Mitsyn , Pavel Goncharov , Gennady Ososkov

Based on elastic collisions, the linear momentum of a fast neutron can be measured from as few as two consecutive recoil ion tracks plus the vertex position of the third collision, or `two and half' ion tracks. If the time delay between the…

Instrumentation and Detectors · Physics 2023-08-22 Zhehui Wang , Christopher L. Morris

A system of two microchannel-plate detectors has been successfully implemented for tracking projectile-fragmentation beams. The detectors provide interaction positions, angles, and arrival times of ions at the reaction target. The current…

Accurate detection and tracking of objects is vital for effective video understanding. In previous work, the two tasks have been combined in a way that tracking is based heavily on detection, but the detection benefits marginally from the…

Computer Vision and Pattern Recognition · Computer Science 2018-11-28 Zheng Zhang , Dazhi Cheng , Xizhou Zhu , Stephen Lin , Jifeng Dai

Accurate determination of particle track reconstruction parameters will be a major challenge for the High Luminosity Large Hadron Collider (HL-LHC) experiments. The expected increase in the number of simultaneous collisions at the HL-LHC…

The High Luminosity upgrade of the Large Hadron Collider (HL-LHC) will produce particle collisions with up to 200 simultaneous proton-proton interactions. These unprecedented conditions will create a combinatorial complexity for…

Ultrafast electron experiments usually work with low-emittance few-electron pulsed beams. The structures are usually much larger than the (average) electron pulse size posing challenges to the resolution of simulations. We present the…

Accelerator Physics · Physics 2023-02-21 Jan Lautenschläger , Uwe Niedermayer

The advent of the Edge Computing (EC) leads to a huge ecosystem where numerous nodes can interact with data collection devices located close to end users. Human detection and tracking can be realized at edge nodes that perform the…

Computer Vision and Pattern Recognition · Computer Science 2023-03-21 Fesatidis Georgios , Bratsos Dimitrios , Kostas Kolomvatsos