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Each LHC experiment will produce datasets with sizes of order one petabyte per year. All of this data must be stored, processed, transferred, simulated and analyzed, which requires a computing system of a larger scale than ever mounted for…

Instrumentation and Detectors · Physics 2009-10-05 Kenneth Bloom

Edge-cloud collaborative computing (ECCC) has emerged as a pivotal paradigm for addressing the computational demands of modern intelligent applications, integrating cloud resources with edge devices to enable efficient, low-latency…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-19 Jing Liu , Yao Du , Kun Yang , Jiaqi Wu , Yan Wang , Xiping Hu , Zehua Wang , Yang Liu , Peng Sun , Azzedine Boukerche , Victor C. M. Leung

Understanding the universe is hampered by the elusiveness of its most common constituent, cold dark matter. Almost impossible to observe, dark matter can be studied effectively by means of simulation and there is probably no other research…

Dark Matter searches in collider and non-collider experiments requires systematic and consistent approach. We suggest and perform classification of Minimal Consistent Dark Matter models which are aimed to create a solid framework for Dark…

High Energy Physics - Phenomenology · Physics 2022-02-04 Alexander Belyaev , Giacomo Cacciapaglia , Daniel Locke

The globalization of markets and world-wide competition forces manufacturing enterprises to enter into alliances leading to the creation of distributed manufacturing enterprises. Before forming a partnership it is essential to evaluate…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-14 Sameh M. Saad , Terrence Perera , Ruwan Wickramarachchi

Distributed Real-Time (DRT) systems are among the most complex software systems to design, test, maintain and evolve. The existence of components distributed over a network often conflicts with real-time requirements, leading to design…

Software Engineering · Computer Science 2015-08-20 Arthur Valadares , Eugenia Gabrielova , Cristina V. Lopes

In this article we look at the potential of cloud containers and we provide some guidelines for companies and organisations that are starting to look at how to migrate their legacy infrastructure to something modern, reliable and scalable.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-04 Damiano Perri , Marco Simonetti , Sergio Tasso , Federico Ragni , Osvaldo Gervasi

Dark Matter experiments are recently focusing their detection techniques in low-mass WIMPs, which requires the use of light elements and low energy threshold. In this context, we describe the TREX-DM experiment, a low background…

Instrumentation and Detectors · Physics 2016-06-22 F. J. Iguaz , J. G. Garza , F. Aznar , J. F. Castel , S. Cebrian , T. Dafni , J. A. Garcia , I. G. Irastorza , A. Lagraba , G. Luzon , A. Peiro

Detector mechanics can play a significant role in a detector's performance, improvements typically require in-depth study of total mass, novel ways to reduce the total mass, as well as more integrated design concepts to save on material…

Instrumentation and Detectors · Physics 2022-03-29 Eric Anderssen , Andreas Werner Jung , Sushrut Karmarkar , Abraham Matthew Koshy

Scalable and efficient numerical simulations continue to gain importance, as computation is firmly established as the third pillar of discovery, alongside theory and experiment. Meanwhile, the performance of computing hardware grows through…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-26 Pietro Incardona , Antonio Leo , Yaroslav Zaluzhnyi , Rajesh Ramaswamy , Ivo F. Sbalzarini

In this paper, we examine the strategies and prospects for distinguishing between traditional dark-matter models and models with non-minimal dark sectors --- including models of Dynamical Dark Matter (DDM) --- at hadron colliders. For…

High Energy Physics - Phenomenology · Physics 2015-03-11 Keith R. Dienes , Shufang Su , Brooks Thomas

The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environments and operational constraints. Harnessing this data for…

Instrumentation and Detectors · Physics 2026-03-12 Julia Gonski , Jenni Ott , Shiva Abbaszadeh , Sagar Addepalli , Matteo Cremonesi , Jennet Dickinson , Giuseppe Di Guglielmo , Erdem Yigit Ertorer , Lindsey Gray , Ryan Herbst , Christian Herwig , Tae Min Hong , Benedikt Maier , Maryam Bayat Makou , David Miller , Mark S. Neubauer , Cristián Peña , Dylan Rankin , Seon-Hee , Seo , Giordon Stark , Alexander Tapper , Audrey Corbeil Therrien , Ioannis Xiotidis , Keisuke Yoshihara , G Abarajithan , Sagar Addepalli , Nural Akchurin , Carlos Argüelles , Saptaparna Bhattacharya , Lorenzo Borella , Christian Boutan , Tom Braine , James Brau , Martin Breidenbach , Antonio Chahine , Talal Ahmed Chowdhury , Yuan-Tang Chou , Seokju Chung , Alberto Coppi , Mariarosaria D'Alfonso , Abhilasha Dave , Chance Desmet , Angela Di Fulvio , Karri DiPetrillo , Javier Duarte , Auralee Edelen , Jan Eysermans , Yongbin Feng , Emmett Forrestel , Dolores Garcia , Loredana Gastaldo , Julián García Pardiñas , Lino Gerlach , Loukas Gouskos , Katya Govorkova , Carl Grace , Christopher Grant , Philip Harris , Ciaran Hasnip , Timon Heim , Abraham Holtermann , Tae Min Hong , Gian Michele Innocenti , Koji Ishidoshiro , Miaochen Jin , Jyothisraj Johnson , Stephen Jones , Andreas Jung , Georgia Karagiorgi , Ryan Kastner , Nicholas Kamp , Doojin Kim , Kyoungchul Kong , Katie Kudela , Jelena Lalic , Bo-Cheng Lai , Yun-Tsung Lai , Tommy Lam , Jeffrey Lazar , Aobo Li , Zepeng Li , Haoyun Liu , Vladimir Lončar , Luca Macchiarulo , Christopher Madrid , Benedikt Maier , Zhenghua Ma , Prashansa Mukim , Mark S. Neubauer , Victoria Nguyen , Sungbin Oh , Isobel Ojalvo , Hideyoshi Ozaki , Simone Pagan Griso , Myeonghun Park , Christoph Paus , Santosh Parajuli , Benjamin Parpillon , Sara Pozzi , Ema Puljak , Benjamin Ramhorst , Amy Roberts , Larry Ruckman , Kate Scholberg , Sebastian Schmitt , Noah Singer , Eluned Anne Smith , Alexandre Sousa , Michael Spannowsky , Sioni Summers , Yanwen Sun , Daniel Tapia Takaki , Antonino Tumeo , Caterina Vernieri , Belina von Krosigk , Yash Vora , Linyan Wan , Michael H. L. S. Wang , Amanda Weinstein , Andy White , Simon Williams , Felix Yu

Large High Energy Physics (HEP) experiments adopted a distributed computing model more than a decade ago. WLCG, the global computing infrastructure for LHC, in partnership with the US Open Science Grid, has achieved data management at the…

Radiation damage significantly impacts the performance of silicon tracking detectors in Large Hadron Collider (LHC) experiments such as ATLAS and CMS, with signal reduction being the most critical effect; adjusting sensor bias voltage and…

High Energy Physics - Experiment · Physics 2025-01-22 Keerthi Nakkalil , Marco Bomben

Distributed algorithms, particularly Diffusion Least Mean Square, are widely favored for their reliability, robustness, and fast convergence in various industries. However, limited observability of the target can compromise the integrity of…

Signal Processing · Electrical Eng. & Systems 2023-10-18 Mahdi Shamsi , Farokh Marvasti

This paper investigates distributed computing and cooperative control of connected and automated vehicles (CAVs) in ramp merging scenario under transportation cyber-physical system. Firstly, a centralized cooperative trajectory planning…

Systems and Control · Electrical Eng. & Systems 2024-10-31 Qiong Wu , Jiahou Chu , Pingyi Fan , Kezhi Wang , Nan Cheng , Wen Chen , Khaled B. Letaief

The simulation of quantum circuits using the tensor network method is very computationally demanding and requires significant High Performance Computing (HPC) resources to find an efficient contraction order and to perform the contraction…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-25 David Brayford , John Brennan , Momme Allalen , Kenneth Hanley , Luigi Iapichino , Lee ORiordan , Niall Moran

The ATLAS experiment has developed extensive software and distributed computing systems for Run 3 of the LHC. These systems are described in detail, including software infrastructure and workflows, distributed data and workload management,…

High Energy Physics - Experiment · Physics 2025-07-17 ATLAS Collaboration

We report on a search for sub-GeV dark matter (DM) particles interacting with electrons using the DAMIC-M prototype detector at the Modane Underground Laboratory. The data feature a significantly lower detector single $e^-$ rate (factor 50)…

Weakly Interacting Massive Particles (WIMPs) are one of the best motivated candidates to compose the Dark Matter of the Universe. The lack of experimental confirmation by direct detection experiments or collider searches has ruled out…

Instrumentation and Detectors · Physics 2025-07-04 Oscar Perez
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