2025-12-11
08:03 |
SkimROOT: Accelerating LHC Data Filtering with Near- Storage Processing
/ Batsoyol, Narangerelt (UC, San Diego (main)) ; Guiang, Jonathan (UC, San Diego (main)) ; Davila, Diego (UC, San Diego (main)) ; Arora, Aashay (UC, San Diego (main)) ; Chang, Philip (U. Florida, Gainesville (main)) ; Würthwein, Frank (U. Florida, Gainesville (main)) ; Swanson, Steven (UC, San Diego (main))
Data analysis in high-energy physics (HEP) begins with data reduction, where vast datasets are filtered to extract relevant events. At the Large Hadron Collider (LHC), this process is bottlenecked by slow data transfers between storage and compute nodes. [...]
arXiv:2506.04507.-
2025 - 8 p.
- Published in : EPJ Web Conf. 337 (2025) 01225
Fulltext: 2506.04507 - PDF; document - PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01225
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2025-12-11
08:03 |
CHEP 2024: Preface to the Proceedings
/ Dziurda, Agnieszka (Cracow, INP) ; Szumlak, Tomasz (AGH-UST, Cracow) ; Ellis, Katherine V (Daresbury) ; Hageboeck, Stephan (CERN) ; Schulz, Markus (CERN) ; Bruch, Dorothea vom (Marseille, CPPM)
The 27th International Conference on Computing in High Energy and Nuclear Physics (CHEP), organized by the AGH University of Science and Technology together with the Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences and Jagiellonian University, took place in Krakow, Poland, from 19–25 October 2024. The conference attracted around 500 registered participants from 33 different countries and 166 institutions. [...]
2025 - 7 p.
- Published in : EPJ Web Conf. 337 (2025) 00001
Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.00001
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2025-12-11
08:03 |
LHCb Stripping Project: Continuing to Fully and Efficiently Utilize Legacy Data
/ Grieser, Nathan (Cincinnati U., RWC) ; Redi, Federico Leo (INFN, Milan ; U. Milan (main)) ; Rodrigues, Eduardo (U. Liverpool (main)) ; Sahoo, Niladri (Birmingham U.) ; Sheng, Shuqi (Beijing, Inst. High Energy Phys.) ; Skidmore, Nicole (Warwick U.) ; Smith, Mark (Imperial Coll., London) ; Venkateswaran, Aravind (Syracuse U. (main))
The LHCb collaboration continues to heavily utilize the Run 1 and Run 2 legacy datasets well into Run 3. As the operational focus shifts from the legacy data to the live Run 3 samples, it is vital that a sustainable and efficient system is in place to allow analysts to continue to profit from the legacy datasets. [...]
arXiv:2503.19051.-
2025 - 8 p.
- Published in : EPJ Web Conf.: 337 (2025) , pp. 01237
Fulltext: document - PDF; 2503.19051 - PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01237
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2025-12-11
08:03 |
TrackHHL: A Quantum Computing Algorithm for Track Reconstruction at the LHCb
/ Chiotopoulos, Xenofon (Maastricht U. ; Nikhef, Amsterdam) ; Lucio Martinez, Miriam (U. Valencia (main)) ; Nicotra, Davide (Nikhef, Amsterdam) ; de Vries, Jacco A (Nikhef, Amsterdam) ; Driessens, Kurt (Maastricht U.) ; Merk, Marcel (Nikhef, Amsterdam) ; Winands, Mark H M (Maastricht U.)
In the future high-luminosity LHC era, high-energy physics experiments face unprecedented computational challenges for event reconstruction. Employing the LHCb vertex locator as a case study we investigate a novel approach for charged particle track reconstruction. [...]
arXiv:2511.11458.-
2025 - 8 p.
- Published in : EPJ Web Conf. 337 (2025) 01181
Fulltext: 2511.11458 - PDF; document - PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01181
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2025-12-11
08:03 |
Energy-efficient graph-based algorithm for tracking at the HL-LHC
/ Torres, Heberth (L2IT, Toulouse)
Graph neural networks represent a potential solution for the computing challenge posed by the reconstruction of tracks at the High Luminosity LHC [1–4]. The graph concept is convenient to organize the data and to split up the tracking task itself into the subtasks of identifying the correct hypothetical connections (edges) between the hits, subtasks that are easy to parallelize and process efficiently, for example using GPUs.We will describe an algorithm that benefits from the graph advantages, but instead of using neural networks, it consists of direct geometric comparisons of neighboring edge pairs, testing the hypothesis of both edges corresponding to the same particle, to build up hit triplets and track candidates. [...]
2025 - 7 p.
- Published in : EPJ Web Conf. 337 (2025) 01301
Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01301
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2025-12-10
04:15 |
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2025-12-09
08:45 |
Adaptive Hough Transform for Charged Particles Tracking at the LHC
/ Bold, Tomasz (AGH-UST, Cracow) ; Horodenski, Stefan (AGH-UST, Cracow) ; Libucha, Piotr (AGH-UST, Cracow)
The High-Luminosity Large Hadron Collider (HL-LHC) will significantly increase the number of simultaneous proton-proton interactions per bunch crossing, making efficient track reconstruction increasingly challenging. This study explores the Adaptive Hough Transform (AHT) as an alternative approach to track finding, optimizing the balance between computational efficiency and memory usage. [...]
2025 - 8 p.
- Published in : EPJ Web Conf. 337 (2025) 01278
Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01278
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2025-12-09
08:45 |
Design Strategies for Beam Impedance Reduction of Kicker Magnets in Particle Accelerators
/ Trubacova, Pavlina (CERN) ; Barnes, Mike (CERN) ; Coralejo Feliciano, Luis Miguel (CERN) ; Zumel, Miguel Diaz (CERN) ; Ducimetiere, Laurent (CERN) ; Favia, Giorgia (CERN) ; Kramer, Thomas (CERN) ; Namora, Vasco (CERN) ; Neroni, Michela (CERN) ; Standen, Dylan (CERN) et al.
In high-energy particle accelerators, kicker magnets are essential for injecting and extracting particle beams using fast-pulsed magnetic fields. A key challenge in their design is minimizing beam coupling impedance to maintain beam stability and reduce beam induced power losses while preserving the fast rise and fall times of the magnetic pulse. [...]
2026 - 5 p.
- Published in : IEEE Trans. Appl. Supercond. 36 (2026) 4100505
Fulltext: PDF; External link: Fulltext
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2025-12-09
08:45 |
Real-time pattern recognition with FPGA at LHCb, an O($n$) complexity architecture
/ Lazzari, Federico (U. Pisa (main) ; INFN, Pisa) ; Contu, Andrea (INFN, Cagliari) ; Fantechi, Riccardo (INFN, Pisa) ; He, Jibo (UCAS, Beijing) ; Jashal, Brij Kishor (Rutherford Appleton Laboratory) ; Martinelli, Maurizio (Milan Bicocca U. (main) ; INFN, Milan) ; Morello, Michael J (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Oyanguren, Arantza (U. Valencia (main) ; CSIC, Madrid) ; Pica, Lorenzo (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Punzi, Giovanni (U. Pisa (main) ; INFN, Pisa) et al.
The LHCb collaboration is planning an upgrade (LHCb “Upgrade- II”) to collect data during Run 5 at an instantaneous luminosity an order of magnitude larger than the current one (Run 3). LHCb relies on a complete realtime reconstruction of all collision events at LHC-Point 8, which will have to cope with both the luminosity increase and the introduction of correspondingly more granular and complex detectors. [...]
2025 - 7 p.
- Published in : EPJ Web Conf. 337 (2025) 01311
Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics (CHEP2024), Kraków, Poland, 19 - 25 Oct 2024, pp.01311
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2025-12-09
08:45 |
Metal as Insulation REBCO Racetracks Coils: Development, Fabrication, and Cryogenic Testing at CEA Paris-Saclay
/ Lecrevisse, Thibault (IRFU, Saclay) ; Benoist, Emeric (IRFU, Saclay) ; Blondelle, Audren (IRFU, Saclay) ; Caunes, Antomne (IRFU, Saclay) ; Durochat, Matthias (IRFU, Saclay) ; Genot, Clément (IRFU, Saclay) ; Lenoir, Gilles (IRFU, Saclay) ; Maloeuvre, Bruno (IRFU, Saclay) ; Ballarino, Amalia (CERN) ; Baskys, Algirdas (CERN)
CEA-Saclay started the development of Metal-as-Insulation racetrack coils in as part of the High Field Magnet (HFM) CERN program. This winding method aims to significantly reduce the amount of High Temperature Superconductor material required to achieve relatively high magnetic induction and associated forces. [...]
2026 - 5 p.
- Published in : IEEE Trans. Appl. Supercond. 36 (2026) 4001405
Fulltext: PDF; External link: Fulltext
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