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Related papers: Tracking with A Common Tracking Software

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At high energy physics experiments, processing billions of records of structured numerical data from collider events to a few statistical summaries is a common task. The data processing is typically more complex than standard query…

Data Analysis, Statistics and Probability · Physics 2019-10-22 Joosep Pata , Maria Spiropulu

For the past year, the HEP.TrkX project has been investigating machine learning solutions to LHC particle track reconstruction problems. A variety of models were studied that drew inspiration from computer vision applications and operated…

High-energy physics experiments rely on reconstruction of the trajectories of particles produced at the interaction point. This is a challenging task, especially in the high track multiplicity environment generated by p-p collisions at the…

Computer Vision and Pattern Recognition · Computer Science 2017-12-06 Maxim Borisyak , Andrey Ustyuzhanin , Denis Derkach , Mikhail Belous

In the High-Level Trigger (HLT) of both electron-positron and hadron collision experiments, the tracking process for large-volume gaseous detectors typically consumes a latency of hundreds of milliseconds. Upgrades of existing experiments…

Instrumentation and Detectors · Physics 2026-05-18 Pengkun Jia , Zhujun Fang , Hang Zhou , Yuhe Huang , Changqing Feng , Jianbei Liu

ATLAS, a general-purpose experiment at the Large Hadron Collider (LHC), makes use of a large internationally-distributed computing infrastructure, including over $10^6$ TB of managed data on disk and tape and almost one million…

High Energy Physics - Experiment · Physics 2026-04-16 ATLAS Collaboration

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 charged particle trajectories and the reconstruction of…

Instrumentation and Detectors · Physics 2022-10-20 A. Affolder , A. Apresyan , S. Worm , M. Albrow , D. Ally , D. Ambrose , E. Anderssen , N. Apadula , P. Asenov , W. Armstrong , M. Artuso , A. Barbier , P. Barletta , L. Bauerdick , D. Berry , M. Bomben , M. Boscardin , J. Brau , W. Brooks , M. Breidenbach , J. Buckley , V. Cairo , R. Caputo , L. Carpenter , M. Centis-Vignali , M. Cerullo , A. Collu , F. Chlebana , G. -F. Dalla-Betta , M. Demarteau , G. Deptuch , K. Di Petrillo , G. D'Amen , A. Dragone , N. T. Fourches , M. Garcia-Sciveres , G. Giacomini , C. Gingu , N. Graf , C. Grace , S. Griso , L. Greiner , C. Haber , G. Haller , K. Harris , T. Heim , U. Heinz , R. Heller , M. T. Hedges , R. Herbst , M. R. Hoeferkamp , T. Holmes , S. E. Holland , S. -C. Hsu , R. Islam , M. Jadhav , S. Jindariani , S. Joosten , A. Jung , S. Karmarkar , C. Kenney , C. Kierans , J. Kim , S. Kim , S. Klein , A. Koshy , K. Krizka , A. Lai , L. Lee , L. Linssen , R. Lipton , T. Liu , C. Madrid , T. Mahajan , T. Markiewicz , B. Markovic , S. Mazza , M. Mazziotta , Y. Mei , P. Merkel , J. Metcalfe , Z. -E. Meziani , A. Minns , F. Moscatelli , P. Murat , J. Muth , B. Nachman , S. Nahn , M. Narain , E. A. Narayanan , T. Nelson , J. Nielsen , S. Oktyabrsky , J. Ott , F. R. Palomo , D. Passeri , R. Patti , T. Peltola , C. Pena , C. Peng , C. Renard , P. Reimer , C. Rogan , L. Rota , H. Sadrozinski , J. Segal , A. Schwartzman , B. Schumm , M. Scott , S. Seidel , A. Seiden , B. Sekely , X. Shi , E. Sichtermann , N. Sinev , J. Sonneveld , L. Spiegel , A. Steinhebel , D. Strom , D. M. S. Sultan , A. Sumant , V. Tokranov , A. Tricoli , W. Trischuk , A. Tumasyan , L. Uplegger , C. Vernieri , H. Wang , P. Wagenknecht , H. Weber , S. Xie , M. Yakimov , Z. Ye , C. Young , M. Zurek

We propose a novel approach to charged particle tracking at high intensity particle colliders based on Approximate Nearest Neighbors search. With hundreds of thousands of measurements per collision to be reconstructed e.g. at the High…

High Energy Physics - Experiment · Physics 2021-01-19 Sabrina Amrouche , Moritz Kiehn , Tobias Golling , Andreas Salzburger

Several algorithms for tracking and for primary and secondary vertex reconstruction have been developed by the ATLAS collaboration following different approaches. This has allowed a thorough cross-check of the performances of the algorithms…

Instrumentation and Detectors · Physics 2009-09-29 Pamela Ferrari

Tracking is one of the most time consuming aspects of event reconstruction at the Large Hadron Collider (LHC) and its high-luminosity upgrade (HL-LHC). Innovative detector technologies extend tracking to four-dimensions by including timing…

Instrumentation and Detectors · Physics 2021-11-12 Patrick J. Fox , Shangqing Huang , Joshua Isaacson , Xiangyang Ju , Benjamin Nachman

The identification and reconstruction of charged particles, such as muons, is a main challenge for the physics program of the ATLAS experiment at the Large Hadron Collider. This task will become increasingly difficult with the start of the…

Data Analysis, Statistics and Probability · Physics 2026-03-30 Jonathan Renusch

A sophisticated trigger system, capable of real-time track reconstruction, is used in the ATLAS experiment to select interesting events in the proton-proton collisions at the Large Hadron Collider at CERN. A set of $b$-jet triggers was…

High Energy Physics - Experiment · Physics 2015-06-03 Andrea Coccaro

Particle physics has an ambitious and broad global experimental programme for the coming decades. Large investments in building new facilities are already underway or under consideration. Scaling the present processing power and data…

The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for large-scale production of events on the LHC Computing Grid. This simulation requires many components, from the generators that simulate particle…

Instrumentation and Detectors · Physics 2012-08-27 The ATLAS Collaboration

As experiments in high energy physics aims to measure increasingly rare processes, the experiments continually strive to increase the expected signal yields. In the case of the High Luminosity upgrade of the LHC, the luminosity is raised by…

Instrumentation and Detectors · Physics 2018-05-09 Joakim Gradin , Mikael Mårtensson , Richard Brenner

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 2019-02-20 Dmitriy Baranov , Gennady Ososkov , Pavel Goncharov , Andrei Tsytrinov

Recent innovations focused around {\em parallel} processing, either through systems containing multiple processors or processors containing multiple cores, hold great promise for enhancing the performance of the trigger at the LHC and…

Computational Physics · Physics 2015-06-17 V. Halyo , P. LeGresley , P. Lujan , V. Karpusenko , A. Vladimirov

The complexity of collider data analyses has dramatically increased from early colliders to the CERN LHC. Reconstruction of the collision products in the particle detectors has reached a point that requires dedicated publications…

High Energy Physics - Phenomenology · Physics 2020-07-17 Pietro Vischia

Phenomenological proposals of searches for new, long-lived particles face a challenge when estimating the reconstruction efficiency of displaced charged-particle tracks. The efficiency depends not only on the charged-particle's momentum…

High Energy Physics - Experiment · Physics 2025-01-03 Emilie Bertholet , Abner Soffer

Experimental High-Energy Physics (HEP), especially the Large Hadron Collider (LHC) programme at the European Organization for Nuclear Research (CERN), is one of the most computationally intensive activities in the world. This demand is set…

Data Analysis, Statistics and Probability · Physics 2021-01-15 Diogo Pires , Pedrame Bargassa , João Seixas , Yasser Omar

We present results of an R&D study for a specialized processor capable of precisely reconstructing, in pixel detectors, hundreds of charged-particle tracks from high-energy collisions at 40 MHz rate. We apply a highly parallel…

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