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The ALICE Transition Radiation Detector contributes to the tracking, particle identification, and triggering capabilities of the experiment. It is composed of six layers of multi-wire proportional chambers, each of which is preceded by a…

Instrumentation and Detectors · Physics 2019-08-13 Jochen Klein

The ALICE (A Large Ion Collider Experiment) experiment focuses on the study of the quark-gluon plasma as a product of heavy-ion collisions at the CERN LHC (Large Hadron Collider). During the Long Shutdown 2 of the LHC in 2019-2020, a major…

Instrumentation and Detectors · Physics 2021-08-19 Konstantinos Alexopoulos , Filippo Costa

ALICE Overwatch is a project started in late 2015 to provide augmented online monitoring and data quality assurance utilizing time-stamped QA histograms produced by the ALICE High Level Trigger. The system receives the data via ZeroMQ,…

Instrumentation and Detectors · Physics 2019-10-02 R. J. Ehlers , J. D. Mulligan

Vehicle-infrastructure communication opens up new ways to improve traffic flow efficiency at signalized intersections. In this study, we assume that equipped vehicles can obtain information about switching times of relevant traffic lights…

Physics and Society · Physics 2014-08-26 Martin Treiber , Arne Kesting

In planning for the Phase II upgrades of CMS and ATLAS major considerations are: 1)being able to deal with degradation of tracking and calorimetry up to the radiation doses to be expected with an integrated luminosity of 3000 $fb^{-1}$ and…

Instrumentation and Detectors · Physics 2013-10-08 Sebastian White

The two innermost layers of the ALICE inner tracking system are instrumented with silicon pixel detectors. Single chip assembly prototypes of the ALICE pixels have been tested in high energy particle beams at the CERN SPS. Detection…

Nuclear Experiment · Physics 2009-11-11 D. Elia

Federated Learning (FL) achieves great popularity in the Internet of Things (IoT) as a powerful interface to offer intelligent services to customers while maintaining data privacy. Under the orchestration of a server, edge devices (also…

Machine Learning · Computer Science 2024-08-26 Ziru Niu , Hai Dong , A. Kai Qin , Tao Gu

ALFE2 is an ATLAS Liquid Argon Calorimeter (LAr) Front-End ASIC designed for the HL-LHC upgrade. ALFE2 comprises four channels of pre-amplifiers and CR-(RC)2 shapers with adjustable input impedance. ALFE2 features two separate gain outputs…

Instrumentation and Detectors · Physics 2024-02-15 D. Matakias , G. Carini , H. Chen , M. Dabrowski , G. Deptuch , L. Duflot , J. Kierstead , T. Liu , H. Ma , N. Morange , S. Rescia , S. Tang , H. Xu

Particle physicists at the Large Hadron Collider investigate the properties of matter at subatomic length scales by colliding together bunches of high-energy protons and observing the decay products of the collisions. ATLAS is one of two…

Instrumentation and Detectors · Physics 2019-11-20 Benjamin Hooberman

The ALICE detector was designed to track and identify particles in a wide transverse momentum range, from more than 100 GeV/c down to ~100 MeV/c. The innermost barrel-like detector, the Inner Tracking System (ITS), is dedicated to precise…

Instrumentation and Detectors · Physics 2019-08-13 Andrea Rossi

ALICE (A Large Heavy Ion Experiment) is one of the four large scale experiments at the Large Hadron Collider (LHC) at CERN. The High Level Trigger (HLT) is an online computing farm, which reconstructs events recorded by the ALICE detector…

ALICE at CERN-LHC is an experiment dedicated to the study of high-energy heavy-ion collision. In this paper we will briefly describe the experimental layout and give an overview on the installation status of the ALICE detector components…

Instrumentation and Detectors · Physics 2019-08-14 H. R. Schmidt

Particle identification is an important feature of the ALICE detector at the LHC. In particular, for particle identification via the time-of-flight technique, the precise determination of the event collision time represents an important…

Instrumentation and Detectors · Physics 2017-04-04 ALICE Collaboration

The trigger selection capabilities of the ATLAS detector have been significantly enhanced for the LHC Run- 2 in order to cope with the higher event rates and with the large number of simultaneous interactions (pile-up) per protonproton…

High Energy Physics - Experiment · Physics 2020-09-18 Pierre-Hugues Beauchemin

The ALICE Collaboration aims at studying the physics of strongly interacting matter by building up a dedicated heavy-ion detector. The Inner Tracking System (ITS) is located in the heart of the ALICE Detector surrounding the interaction…

Instrumentation and Detectors · Physics 2017-07-17 Wanchaloem Poonsawat , Chinorat Kobdaj , Mario Sitta , Yupeng Yan

In this paper, we propose a novel Automatic and Scalable Face Detector (ASFD), which is based on a combination of neural architecture search techniques as well as a new loss design. First, we propose an automatic feature enhance module…

Computer Vision and Pattern Recognition · Computer Science 2020-04-01 Bin Zhang , Jian Li , Yabiao Wang , Ying Tai , Chengjie Wang , Jilin Li , Feiyue Huang , Yili Xia , Wenjiang Pei , Rongrong Ji

The ALICE High Level Trigger has to process data online, in order to select interesting (sub)events, or to compress data efficiently by modeling techniques. Focusing on the main data source, the Time Projection Chamber (TPC), we present two…

Instrumentation and Detectors · Physics 2015-06-26 V. Lindenstruth , C. Loizides , D. Roehrich , B. Skaali , T. Steinbeck , R. Stock , H. Tilsner , K. Ullaland , A. Vestbo , T. Vik

For LHC Run 3, the ALICE Time Projection Chamber was upgraded to operate in continuous readout mode. Interaction rates of up to 50 kHz in Pb-Pb collisions require real-time processing of more than 3 TB/s of raw detector data. This…

Instrumentation and Detectors · Physics 2026-03-18 J. Alme , T. Alt , C. Andrei , V. Anguelov , H. Appelshäuser , M. Arslandok , R. Averbeck , M. Ball , G. G. Barnaföldi , P. Becht , R. Bellwied , A. Berdnikova , B. Blidaru , L. Boldizsár , L. Bratrud , P. Braun-Munzinger , M. Bregant , C. L. Britton , H. Büsching , H. Caines , P. Chatzidaki , P. Christiansen , T. M. Cormier , L. Döpper , R. Ehlers , L. Fabbietti , F. Flor , J. J. Gaardhøje , M. G. Munhoz , C. Garabatos , P. Gasik , Á. Gera , P. Glässel , N. Grünwald , T. Gündem , T. Gunji , H. Hamagaki , J. W. Harris , P. Hauer , E. Hellbär , H. Helstrup , A. Herghelegiu , H. D. Hernandez Herrera , Y. Hou , C. Hughes , M. Ivanov , J. Jäger , Y. Ji , J. Jung , M. Jung , B. Ketzer , S. Kirsch , M. Kleiner , A. G. Knospe , M. Korwieser , M. Kowalski , L. Lautner , M. Lesch , C. Lippmann , G. Mantzaridis , R. D. Majka , A. Marin , C. Markert , S. Masciocchi , A. Matyja , M. Meres , D. L. Mihaylov , D. Miśkowiec , R. H. Munzer , H. Murakami , K. Münning , A. Nassirpour , C. Nattrass , B. S. Nielsen , W. A. V. Noije , A. C. Oliveira Da Silva , A. Oskarsson , K. Oyama , L. Österman , Y. Pachmayer , G. Paić , M. Petris , M. Petrovici , M. Planinic , J. Rasson , K. F. Read , A. Rehman , R. Renfordt , A. Riedel , K. Røed , D. Röhrich , E. Rubio , A. Rusu , S. Sadhu , B. C. S. Sanches , J. Schambach , A. Schmah , C. Schmidt , A. Schmier , K. Schweda , D. Sekihata , D. Silvermyr , B. Sitar , N. Smirnov , H. K. Soltveit , C. Sonnabend , S. P. Sorensen , J. Stachel , L. Šerkšnytė , G. Tambave , K. Ullaland , B. Ulukutlu , D. Varga , O. Vazquez Rueda , B. Voss , J. Wiechula , B. Windelband , J. Wilkinson , J. Witte , A. Yadav , F. Zanone , S. Zhu

Operating HADES at the future FAIR SIS-100 accelerator challenges the rate capability of DAQ and electronics. A new, more robust version of front-end electronics needs to be built for the HADES drift chamber system. Due to the…

Instrumentation and Detectors · Physics 2018-11-19 Michael Wiebusch , Christian Müntz , Christian Wendisch , Jerzy Pietraszko , Jan Michel , Joachim Stroth

Motion forecasting plays a crucial role in autonomous driving, with the aim of predicting the future reasonable motions of traffic agents. Most existing methods mainly model the historical interactions between agents and the environment,…

Computer Vision and Pattern Recognition · Computer Science 2023-11-09 Miao Kang , Shengqi Wang , Sanping Zhou , Ke Ye , Jingjing Jiang , Nanning Zheng