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Reliable out-of-distribution (OOD) detection is a critical requirement for the safe deployment of machine learning systems. Despite recent progress, state-of-the-art OOD detectors are highly susceptible to adversarial attacks, which…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Maria Stoica , Abdelrahman Hekal , Alessio Lomuscio

The Pixel Detector of the ATLAS experiment has shown excellent performance during the whole Run-1 of LHC. Taking advantage of the long shutdown, the detector was extracted from the experiment and brought to surface, to equip it with new…

Instrumentation and Detectors · Physics 2015-05-21 Alessandro La Rosa

ALICE analyses mostly deal with large datasets using the distributed Grid infrastructure. In LHC running periods 1 and 2, ALICE developed a system of analysis trains (so-called $"$LEGO trains$"$) that allowed the user to configure analysis…

Instrumentation and Detectors · Physics 2021-09-21 Raquel Quishpe , Jan Fiete Grosse-Oetringhaus , Raluca Cruceru , Costin Grigoras

WorldGrid is an intercontinental testbed spanning Europe and the US integrating architecturally different Grid implementations based on the Globus toolkit. It has been developed in the context of the DataTAG and iVDGL projects, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-04-28 V. Ciaschini , F. Donno , A. Fanfani , F. Fanzago , V. Garbellotto , M. Verlato , L. Vaccarossa

During the upcoming Runs 3 and 4 of the LHC, ALICE will take data at a peak Pb-Pb collision rate of 50 kHz. This will be made possible thanks to the upgrade of the main tracking detectors of the experiment, and with a new data processing…

Instrumentation and Detectors · Physics 2020-12-09 Chiara Zampolli

While the tracking detectors of the ATLAS and CMS experiments have shown excellent performance in Run 1 of LHC data taking, and are expected to continue to do so during LHC operation at design luminosity, both experiments will have to…

During LHC Run 2 (2015-2018) the ATLAS Level-1 topological trigger allowed efficient data-taking by the ATLAS experiment at luminosities up to 2.1x10$^{34}$ cm$^{-2}$s$^{-1}$, which exceeds the design value by a factor of two. The system…

High Energy Physics - Experiment · Physics 2022-01-14 ATLAS Collaboration

After successfully completing Phase I upgrades during LHC Long Shutdown 2, the ATLAS detector is back in operation with several upgrades implemented. The most important and challenging upgrade is in the Muon Spectrometer, where the two…

High Energy Physics - Experiment · Physics 2025-03-24 Simone Francescato

This article presents the readout electronics of a novel beam monitoring system for ion research facility accelerator. The readout electronics are divided into Front-end Card (FEC) and Readout Control Unit (RCU). FEC uses Topmetal II minus…

Instrumentation and Detectors · Physics 2020-02-18 Honglin Zhang , Haibo Yang , Xianqin Li , Yuezhao Zhang , Xiangming Sun , Dong Wang , Ran Huang , Yao Wang , Wei Zhou , Chengxin Zhao

The automation of operations is essential to reduce manpower costs and improve the reliability of the system. The Site Status Board (SSB) is a framework which allows Virtual Organizations to monitor their computing activities at distributed…

Large liquid argon Time Projection Chambers have been adopted for the DUNE experiment's far detector, which will be composed of four 17 kton detectors situated 1.5 km underground at the Sanford Underground Research Facility. This represents…

The ALICE experiment at CERN is preparing for a major upgrade for the third phase of data taking run (Run 3), when the high luminosity phase of the Large Hadron Collider (LHC) starts. The increase in the beam luminosity will result in high…

Instrumentation and Detectors · Physics 2019-02-20 Jubin Mitra , Erno David , Eduardo Mendez , Shuaib Ahmad Khan , Tivadar Kiss , Sophie Baron , Alex Kluge , Tapan Nayak

The Front End Driver, FED, is a 9U 400mm VME64x card designed for reading out the Compact Muon Solenoid, CMS, silicon tracker signals transmitted by the APV25 analogue pipeline Application Specific Integrated Circuits. The FED receives the…

The development of detectors that provide high resolution in four dimensions has attracted wide-spread interest in the scientific community for applications in high-energy physics, nuclear physics, medical imaging, mass spectroscopy as well…

Electron and photon triggers covering transverse energies from 5 GeV to several TeV are essential for signal selection in a wide variety of ATLAS physics analyses to study Standard Model processes and to search for new phenomena. Final…

High Energy Physics - Experiment · Physics 2015-11-16 Gabriella Pásztor

The integration of Large Language Models (LLMs) into autonomous driving systems demonstrates strong common sense and reasoning abilities, effectively addressing the pitfalls of purely data-driven methods. Current LLM-based agents require…

Robotics · Computer Science 2024-10-22 Sihao Wu , Jiaxu Liu , Xiangyu Yin , Guangliang Cheng , Xingyu Zhao , Meng Fang , Xinping Yi , Xiaowei Huang

This paper presents the CAT Vehicle (Cognitive and Autonomous Test Vehicle) Testbed: a research testbed comprised of a distributed simulation-based autonomous vehicle, with straightforward transition to hardware in the loop testing and…

Robotics · Computer Science 2018-04-13 Rahul Kumar Bhadani , Jonathan Sprinkle , Matthew Bunting

Light Detection and Ranging (LiDAR) is an essential sensor technology for autonomous driving as it can capture high-resolution 3D data. As 3D object detection systems (OD) can interpret such point cloud data, they play a key role in the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Alexandra Arzberger , Ramin Tavakoli Kolagari

ATLAS, a general-purpose experiment at the Large Hadron Collider (LHC), makes use of a large internationally-distributed computing infrastructure, including over $10^6$ TB of managed data on disk and tape and almost one million…

High Energy Physics - Experiment · Physics 2026-04-16 ATLAS Collaboration

This document is one of the deliverable reports created for the ESCAPE project. ESCAPE stands for Energy-efficient Scalable Algorithms for Weather Prediction at Exascale. The project develops world-class, extreme-scale computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-21 Willem Deconinck
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