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The study of complex many-body systems via analysis of the trajectories of the units that dynamically move and interact within them is a non-trivial task. The workflow for extracting meaningful information from the raw trajectory data is…

Materials Science · Physics 2025-10-31 Simone Martino , Matteo Becchi , Andrew Tarzia , Daniele Rapetti , Giovanni M. Pavan

Developing software to undertake complex, compute-intensive scientific processes requires a challenging combination of both specialist domain knowledge and software development skills to convert this knowledge into efficient code. As…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-09-05 Jeremy Cohen , Chris Cantwell , Neil Chue Hong , David Moxey , Malcolm Illingworth , Andrew Turner , John Darlington , Spencer Sherwin

Accurate particle identification (PID) is one of the most important aspects of the LHCb experiment. Modern machine learning techniques such as neural networks (NNs) are efficiently applied to this problem and are integrated into the LHCb…

Data Analysis, Statistics and Probability · Physics 2020-08-26 Artem Ryzhikov , Denis Derkach , Mikhail Hushchyn

The ALICE Collaboration has just finished a major detector upgrade that increases the data-taking rate capability by two orders of magnitude and will allow to collect unprecedented data samples. For example, the analysis input for 1 month…

Instrumentation and Detectors · Physics 2022-11-23 Raluca Cruceru

A new downstream tracking system, known as the Mighty Tracker, is planned to be installed at LHCb during LS4 of the LHC. This will allow an increase in instantaneous luminosity from $2\cdot10^{33}~\mathrm{cm}^{-2}\mathrm{s}^{-1}$ to…

Instrumentation and Detectors · Physics 2024-02-14 Hannah Schmitz , Lucas Dittmann , Klaas Padeken , Sebastian Neubert

Since the introduction of the GRPO algorithm, reinforcement learning (RL) has attracted increasing attention for LLM post-training, yet training efficiency remains a critical challenge. In mainstream RL frameworks, inference and training…

Machine Learning · Computer Science 2026-05-05 Jian Lu

The LHCb experiment has fully reconstructed close to 10^9 charm hadron decays---by far the world's largest sample. During the 2011-2012 running periods, the effective proton-proton beam crossing rate was 11-15 MHz while the rate at which…

High Energy Physics - Experiment · Physics 2013-12-03 Patrick Spradlin

The H1 data preservation project was started in 2009 as part of the global data preservation initiative in high-energy physics, DPHEP. In order to retain the full potential for future improvements, the H1 Collaboration aims for level 4 of…

Data Analysis, Statistics and Probability · Physics 2015-06-05 David M. South , Michael Steder

Many real-world applications operate on dynamic graphs that undergo rapid changes in their topological structure over time. However, it is challenging to design dynamic algorithms that are capable of supporting such graph changes…

Databases · Computer Science 2022-04-26 Muhammad Farhan , Qing Wang , Henning Koehler

The rise of capabilities expressed by large language models has been quickly followed by the integration of the same complex systems into application level logic. Algorithms, programs, systems, and companies are built around structured…

Software Engineering · Computer Science 2024-02-28 Kaiser Pister , Dhruba Jyoti Paul , Patrick Brophy , Ishan Joshi

The LHCb detector provides accurate vertex reconstruction and hadronic particle identification, which make the experiment an ideal place to look for light long-lived particles (LLP) decaying into Standard Model (SM) hadrons. In contrast…

High Energy Physics - Phenomenology · Physics 2019-10-14 Xabier Cid Vidal , Yuhsin Tsai , Jose Zurita

Integration of edge, cloud and space devices into a unified 3D continuum imposes significant challenges for client selection in federated learning systems. Traditional approaches rely on continuous monitoring and historical data collection,…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-12 Andrija Stanisic , Stefan Nastic

Traditionally, high energy physics (HEP) experiments have relied on x86 CPUs for the majority of their significant computing needs. As the field looks ahead to the next generation of experiments such as DUNE and the High-Luminosity LHC, the…

The increasing luminosities of future Large Hadron Collider runs and next generation of collider experiments will require an unprecedented amount of simulated events to be produced. Such large scale productions are extremely demanding in…

Instrumentation and Detectors · Physics 2020-07-28 Artem Maevskiy , Denis Derkach , Nikita Kazeev , Andrey Ustyuzhanin , Maksim Artemev , Lucio Anderlini

Ensuring the reproducibility of physics results is one of the crucial challenges in high-energy physics (HEP). In this study, we develop a proof-of-concept system that uses large language models (LLMs) to extract analysis procedures from…

Data Analysis, Statistics and Probability · Physics 2026-04-17 Masahiko Saito , Tomoe Kishimoto , Junichi Tanaka

Dynamic taint analysis (DTA), as a fundamental analysis technique, is widely used in security, privacy, and diagnosis, etc. As DTA demands to collect and analyze massive taint data online, it suffers extremely high runtime overhead. Over…

Cryptography and Security · Computer Science 2024-02-28 Yiyu Zhang , Tianyi Liu , Yueyang Wang , Yun Qi , Kai Ji , Jian Tang , Xiaoliang Wang , Xuandong Li , Zhiqiang Zuo

In modern High Energy Physics (HEP) experiments, triggers perform the important task of selecting, in real time, the data to be recorded and saved for physics analyses. As a result, trigger strategies play a key role in extracting relevant…

The Upgrade II of the LHCb experiment is proposed to be installed during the CERN Long Shutdown 4, aiming to operate LHCb at 1.5x$10^{34}cm^{-2}s^{-1}$ that is 75 times its design luminosity and reaching an integrated luminosity of about…

In genetic programming, an evolutionary method for producing computer programs that solve specified computational problems, parent selection is ordinarily based on aggregate measures of performance across an entire training set. Lexicase…

Neural and Evolutionary Computing · Computer Science 2021-06-14 Thomas Helmuth , Lee Spector