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A Large Ion Collider Experiment (ALICE) is one of the four major experiments conducted at the CERN Large Hadron Collider (LHC). The ALICE detector is currently undergoing an upgrade for the upcoming Run 3 at the LHC. The new Inner Tracking…

The ALICE Collaboration will undertake a major upgrade of the detector apparatus during the second LHC Long Shutdown LS2 (2019-2020) in view of the Runs 3 and 4 (2021-2029). The objective of the upgrade is two-fold: i) an improvement of the…

Instrumentation and Detectors · Physics 2019-08-08 Gasik fo the ALICE Collaboration

We propose a new fixed latency scheme for Xilinx gigabit transceivers that will be used in the upgrade of the ATLAS forward muon spectrometer at the Large Hadron Collider. The fixed latency scheme is implemented in a 4.8 Gbps link between a…

Instrumentation and Detectors · Physics 2015-10-28 Jinhong Wang , Xueye Hu , Thomas Schwarz , Junjie Zhu , J. W. Chapman , Tiesheng Dai , Bing Zhou

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

The ALICE experiment at the LHC is undergoing a major upgrade during the Long Shutdown 2 (2019-2021). In particular, the Time Projection Chamber (TPC) is being equipped with new GEM-based readout chambers and the readout electronics of…

High Energy Physics - Experiment · Physics 2020-10-21 Nazar Burmasov

To run a cloud application with the required service quality, operators have to continuously monitor the cloud application's run-time status, detect potential performance anomalies, and diagnose the root causes of anomalies. However,…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-01 Ruyue Xin , Hongyun Liu , Peng Chen , Paola Grosso , Zhiming Zhao

We introduce ABEL, the Adaptable Beginning-to-End Linac simulation framework developed for agile design studies of plasma-based accelerators and colliders. ABEL's modular architecture allows users to simulate particle acceleration across…

Accelerator Physics · Physics 2025-07-09 J. B. B. Chen , E. Adli , P. Drobniak , O. G. Finnerud , E. Hørlyk , D. Kalvik , C. A. Lindstrøm , F. Peña , K. Sjobak

The ATLAS collaboration defines methods, establishes procedures, and organises advisory groups to manage the publication processes of scientific papers, conference papers, and public notes. All stages are managed through web systems,…

The ALICE experiment is dedicated to the study of the quark gluon plasma in heavy-ion collisions at the CERN LHC. The Muon Forward Tracker (MFT) is under consideration by the ALICE experiment to be part of its program of detectors upgrade…

High Energy Physics - Experiment · Physics 2019-08-14 Antonio Uras

The ALICE experiment at CERN is undergoing a major upgrade during the Long Shutdown 2 (LS2) of the LHC during 2019-2020. The key elements regarding the central barrel are the installation of a new Inner Tracking System (ITS) and the upgrade…

Instrumentation and Detectors · Physics 2021-02-03 Felix Reidt

During the ATLAS phase II upgrade, the tracking system of the ATLAS experiment will be replaced by an all-silicon detector called the inner tracker (ITK) with a pixel detector as the most inner part. The monitoring data of the new system…

Instrumentation and Detectors · Physics 2023-05-17 A. Qamesh , R. Ahmad , D. Ecker , T. Fischer , M. Karagounis , P. Kind , S. Kersten , T. Krawutschke , L. Schreiter , C. Zeitnitz

Federated Learning (FL) presents a robust paradigm for privacy-preserving, decentralized machine learning. However, a significant gap persists between the theoretical design of FL algorithms and their practical performance, largely because…

Networking and Internet Architecture · Computer Science 2025-09-05 Osama Abu Hamdan , Hao Che , Engin Arslan , Md Arifuzzaman

During the LHC Long Shutdown 3 (2026-29) ALICE will replace its three innermost tracking layers by a new detector, the "ITS3". It will be based on newly developed, wafer-scale monolithic active pixel sensors, which are bent into truly…

Instrumentation and Detectors · Physics 2026-01-13 Jory Sonneveld

Monolithic Active Pixel Sensors (MAPS) combine the sensing part and the front-end electronics in the same silicon layer, making use of CMOS technology. Profiting from the progresses of this commercial process, MAPS have been undergoing…

Instrumentation and Detectors · Physics 2024-08-06 Domenico Colella

We present an efficient and cost-effective way to train operators of complex systems with limited accessibility, such as sub-detectors of big experiments at the CERN Large Hadron Collider (LHC). Our coaching station was developed to train…

High Energy Physics - Experiment · Physics 2025-03-19 Krystian Roslon

Particle physics detectors increasingly make use of custom FPGA firmware and application-specific integrated circuits (ASICs) for data readout and triggering. As these designs become more complex, it is important to ensure that they are…

Instrumentation and Detectors · Physics 2019-10-16 Benjamin John Rosser

The ALICE Collaboration completed the upgrade of the detector and is now commissioning for the beginning of the data taking during LHC Run 3. In parallel, R&D activities and simulation studies are being performed to define the future of the…

High Energy Physics - Experiment · Physics 2022-11-09 Domenico Colella , for the ALICE Collaboration

Nowadays efficient usage of high-tech security tools and appliances is considered as an important criterion for security improvement of computer networks. Based on this assumption, Intrusion Detection and Prevention Systems (IDPS) have key…

Networking and Internet Architecture · Computer Science 2012-11-06 Majid Nezakatolhoseini , Mohammad Amin Taherkhani

Federated Edge Learning (FEL) allows edge nodes to train a global deep learning model collaboratively for edge computing in the Industrial Internet of Things (IIoT), which significantly promotes the development of Industrial 4.0. However,…

Machine Learning · Computer Science 2021-11-05 Yi Liu , Ruihui Zhao , Jiawen Kang , Abdulsalam Yassine , Dusit Niyato , Jialiang Peng
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