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CERN Published Articles

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2025-10-16
06:39
Low-latency AI for triggering on electrons at High Luminosity LHC with the CMS Level-1 hardware Trigger / Botta, Cristina (CERN) ; Cerminara, Gianluca (CERN) ; Park, Kyungmin (Carnegie Mellon U. (main)) ; Viscone, Piero (CERN ; U. Zurich (main))
In preparation for the High Luminosity LHC (HL-LHC) run, the CMS collaboration is working on an ambitious upgrade project for the first stage of its online selection system: the Level-1 Trigger. The upgraded system will use powerful field-programmable gate arrays (FPGA) processors connected by a high-bandwidth network of optical fibers. [...]
2025 - 8 p. - Published in : EPJ Web Conf. 337 (2025) 01026 Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01026

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2025-10-16
06:39
FPGA Implementation of the General Triplet Track Fit / Tastepe, Kadir (U. Heidelberg (main)) ; Dittmeier, Sebastian (U. Heidelberg (main)) ; Nandi, Abhirikshma (U. Heidelberg (main)) ; Sauer, Christof (U. Heidelberg (main) ; CERN) ; Schöning, André (U. Heidelberg (main))
The reconstruction of charged particle trajectories is one of the most computationally intensive tasks within current and future filter farms of large High-Energy Physics (HEP) experiments. Due to the increasing number of simultaneous collisions in future high-luminosity colliders, like the HL-LHC and FCC-hh, the challenge of online tracking and event reconstruction becomes even more significant and requires innovative algorithms and appropriate hardware choices for its acceleration.The General Triplet Track Fit is a novel parallelizable track-fitting algorithm that offers a great potential for speed-up by processing triplets of hits independently and allowing to factorize the track reconstruction chain into a detectordependent and independent parts. [...]
2025 - 7 p. - Published in : EPJ Web Conf. 337 (2025) 01198 Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01198

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2025-10-16
06:39
Cold data support for the CERN Open Data Portal / Lopez, Jose Benito Gonzalez (CERN) ; Saiz, Pablo (CERN) ; Zacharodimos, Zacharias (CERN)
The CERN Open Data Portal holds over 5 petabytes of high-energy physics experiment data, serving as a hub for global scientific collaboration. Committed to Open Science principles, the portal aims to democratize access to these datasets for outreach, training, education, and independent research. [...]
2025 - 7 p. - Published in : EPJ Web Conf. 337 (2025) 01051 Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01051

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2025-10-16
06:39
Magnet System of the New Electron Cooler for the CERN Antiproton Decelerator (AD) Ring / von Freeden, L (CERN) ; Schoerling, D (CERN) ; Karppinen, M (CERN)
A new electron cooler for the Antiproton Decelerator (AD) ring at CERN is under construction and will be installed in the next long shutdown (2026-2028) to replace the existing 40-year-old device. This paper presents the design of the new electron cooler’s normal conducting magnet system comprising three straight solenoid sections joined by two toroidal field sections. [...]
2026 - 5 p. - Published in : IEEE Trans. Appl. Supercond. 36 (2026) 1-5 Fulltext: PDF; External link: Fulltext

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2025-10-16
06:39
Geometric Graph Neural Network based track finding / Garcia, Dolores (CERN) ; Francois, Brieuc (CERN) ; Selvaggi, Michele (CERN)
An essential component of event reconstruction in particle physics experiments is identifying the trajectory of charged particles in the detector. Traditional methods for track finding are often complex, and tailored to specific detectors and input geometries, limiting their adaptability to new detector designs and optimization processes. [...]
2025 - 8 p. - Published in : EPJ Web Conf. 337 (2025) 01125 Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01125

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2025-10-16
06:39
Reconstruction in Key4hep using Gaudi / Carceller, Juan Miguel (CERN) ; Fang, Wenxing (Beijing, Inst. High Energy Phys.) ; Fila, Mateusz (CERN) ; Francois, Brieuc (CERN) ; Gaede, Frank-Dieter (DESY) ; Ganis, Gerardo (CERN) ; Hegner, Benedikt (CERN) ; Huang, Xingtao (Shandong U.) ; Sang Hyun Ko (Seoul Natl. U. (main)) ; Li, Weidong (Beijing, Inst. High Energy Phys.) et al.
Key4hep, a software framework and stack for future accelerators, integrates all the steps in the typical offline pipeline: generation, simulation, reconstruction and analysis. The different components of Key4hep use a common event data model, called EDM4hep. [...]
2025 - 8 p. - Published in : EPJ Web Conf. 337 (2025) 01145 Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01145

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2025-10-16
06:39
Archive Metadata for Efficient Data Collocation on Tape / Leduc, Julien (CERN) ; Bügel, Niels (CERN) ; Cortés, Pablo Oliver (CERN) ; Guenther, Jaroslav (CERN) ; Skovola, Konstantina (CERN) ; Davis, Michael (CERN) ; Afonso, João (CERN) ; Bachmann, Richard (CERN) ; Bahyl, Vladimír (CERN) ; Perez, Sergio Alfageme (CERN)
Due to the increasing volume of physics data being produced, the LHC experiments are making more active use of archival storage. Constraints on available disk storage have motivated the evolution towards the “data carousel” and similar models. [...]
2025 - 8 p. - Published in : EPJ Web Conf. 337 (2025) 01073 Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01073

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2025-10-16
06:39
Toward a CXL Memory Lake Architecture for Level-1 Data Scouting at CMS / Miotto, Giovanna Lazzari (CERN) ; Ardino, Rocco (CERN) ; Cristoforetti, Davide (CERN ; U. Turin (main) ; INFN, Turin) ; Deldicque, Christian (CERN) ; Dobson, Marc (CERN) ; Gigi, Dominique (CERN) ; Giorgetti, Sabrina (CERN ; U. Padua (main) ; INFN, Padua) ; James, Thomas Owen (CERN) ; Meschi, Emilio (CERN) ; Migliorini, Matteo (CERN) et al.
Level-1 Data Scouting (L1DS) is a novel data acquisition subsystem at the Compact Muon Solenoid (CMS) Level-1 Trigger (L1T) that exposes the L1T event selection data primitives for online processing at the 40 MHz bunchcrossing rate of the Large Hadron Collider (LHC), enabling unbiased and unconventional analyses. An L1DS demonstrator has been operating since Run 3, relying on a ramdisk for ephemeral storage of incoming and intermediate data, accessible by the system’s units through a Network File System (NFS). [...]
2025 - 8 p. - Published in : EPJ Web Conf. 337 (2025) 01308 Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01308

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2025-10-16
06:39
R&D; towards heterogeneous frameworks for future experiments / Fila, Mateusz (CERN) ; Hegner, Benedikt (CERN) ; Shchur, Oleksandr (Unlisted, CH) ; Ott, Josh (NCSU, Raleigh)
With the increasing amount of optimized and specialized hardware such as GPUs, ML cores, etc. HEP applications face the opportunity and the challenge of adapting to efficiently use these resources, which are becoming more widely available on scientific computing sites. [...]
2025 - 7 p. - Published in : EPJ Web Conf. 337 (2025) 01069 Fulltext: PDF; External link: Fulltext
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01069

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2025-10-16
06:39
Evolution of the CERN Tape Archive Scheduling System / Guenther, Jaroslav (CERN) ; Afonso, João (CERN) ; Bachmann, Richard (CERN) ; Bahyl, Vladimír (CERN) ; Bügel, Niels (CERN) ; Cortés, Pablo Oliver (CERN) ; Davis, Michael (CERN) ; Larbi, Idriss (CERN) ; Leduc, Julien (CERN) ; Perez, Sergio Alfageme (CERN) et al.
The CERN Tape Archive (CTA) scheduling system implements the workflow and lifecycle of archive, retrieve and repack requests. The transient metadata for queued requests is stored in the Scheduler backend store (Scheduler DB). [...]
2025 - 9 p. - Published in : EPJ Web Conf. 337 (2025) 01002 Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01002

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