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In LHC Run 3, ALICE will increase the data taking rate significantly to 50 kHz continuous readout of minimum bias Pb--Pb collisions. The reconstruction strategy of the online-offline computing upgrade foresees a first synchronous online…

仪器与探测器 · 物理学 2020-09-17 David Rohr

In LHC Run 3, ALICE will increase the data taking rate significantly to 50 kHz continuous read out of minimum bias Pb-Pb collisions. The reconstruction strategy of the online offline computing upgrade foresees a first synchronous online…

仪器与探测器 · 物理学 2021-02-03 David Rohr

After several software and hardware upgrades during LS2, ALICE records 50 KHz of minimum bias Pb--Pb collisions in continuous readout mode. To cope with the high data rate of 3.5 TB/s from the detectors, multiple stages of compression are…

仪器与探测器 · 物理学 2024-11-05 Gabriele Cimador

ALICE will increase the data-taking rate for Run 3 significantly to 50 kHz continuous readout of minimum bias Pb--Pb collisions. The foreseen reconstruction strategy consists of 2 phases: a first synchronous online reconstruction stage…

仪器与探测器 · 物理学 2021-02-18 David Rohr

ALICE records Pb-Pb collisions in Run 3 at an unprecedented rate of 50 kHz, storing all data in continuous readout (triggerless) mode. The main purpose of the ALICE online computing farm is the calibration of the detectors and the…

仪器与探测器 · 物理学 2025-02-14 David Rohr

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…

仪器与探测器 · 物理学 2020-12-09 Chiara Zampolli

In LHC Run 3, ALICE will increase the data taking rate significantly to 50 kHz continuous read-out of minimum bias Pb-Pb collisions. The reconstruction strategy of the online-offline computing upgrade foresees a first synchronous online…

仪器与探测器 · 物理学 2019-10-02 David Rohr , Sergey Gorbunov , Marten Ole Schmidt , Ruben Shahoyan

ALICE has upgraded many of its detectors for LHC Run 3 to operate in continuous readout mode recording Pb--Pb collisions at 50 kHz interaction rate without trigger. This results in the need to process data in real time at rates 100 times…

仪器与探测器 · 物理学 2024-02-05 Giulio Eulisse , David Rohr

The ALICE experiment has undergone a major upgrade for LHC Run 3 and will collect data at an interaction rate 50 times larger than before. The new computing scheme for Run 3 replaces the traditionally separate online and offline frameworks…

仪器与探测器 · 物理学 2022-08-17 David Rohr

ALICE is the dedicated heavy ion experiment at the LHC at CERN and records lead-lead collisions at a rate of up to 50 kHz in LHC Run 3. To cope with such collision and data rates, ALICE uses a new GEM TPC with continuous readout and a…

仪器与探测器 · 物理学 2026-01-29 David Rohr

In LHC Run 3, ALICE will increase the data taking rate significantly, from an approximately 1 kHz trigger readout in minimum-bias Pb--Pb collisions to a 50 kHz continuous readout rate. The reconstruction strategy of the online-offline…

仪器与探测器 · 物理学 2019-10-29 David Rohr

ALICE is the dedicated heavy ion experiment at the LHC at CERN and records lead-lead collisions at a rate of up to 50 kHz. The detector with the highest data rate of up to 3.4 TB/s is the TPC. ALICE performs the full online TPC processing…

仪器与探测器 · 物理学 2025-11-24 David Rohr

In LHC Run 3, ALICE will increase the data taking rate significantly to 50\,kHz continuous read out of minimum bias Pb-Pb events. This challenges the online and offline computing infrastructure, requiring to process 50 times as many events…

仪器与探测器 · 物理学 2017-09-05 David Rohr

In LHC Run 3, ALICE will increase the data taking rate significantly to continuous readout of 50 kHz minimum bias Pb-Pb collisions. The reconstruction strategy of the online offline computing upgrade foresees a first synchronous online…

仪器与探测器 · 物理学 2018-11-29 David Rohr , Sergey Gorbunov , Marten Ole Schmidt , Ruben Shahoyan

The ALICE experiment will run with continuous readout at interaction rates of up to 50 kHz in Pb-Pb collisions during Run 3 of the LHC. In order to achieve this goal, a new data processing scheme and software are developed. This scheme…

仪器与探测器 · 物理学 2021-10-18 Ernst Hellbär

The online event reconstruction for the ALICE experiment at CERN requires processing capabilities to process central Pb-Pb collisions at a rate of more than 200 Hz, corresponding to an input data rate of about 25 GB/s. The reconstruction of…

仪器与探测器 · 物理学 2019-08-14 David Rohr , Sergey Gorbunov , Artur Szostak , Matthias Kretz , Thorsten Kollegger , Timo Breitner , Torsten Alt

In LHC Run 3, the upgraded ALICE detector will record Pb-Pb collisions at a rate of 50 kHz usingcontinuous readout. The resulting stream of raw data at 3.5 TB/s has to be processed with a setof lossy and lossless compression and data…

仪器与探测器 · 物理学 2022-09-21 Michael Lettrich

ALICE (A Large Heavy Ion Experiment) is one of the four major experiments at the Large Hadron Collider (LHC) at CERN. The High Level Trigger (HLT) is an online compute farm which reconstructs events measured by the ALICE detector in…

仪器与探测器 · 物理学 2019-08-14 David Rohr , Sergey Gorbunov , Volker Lindenstruth

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…

仪器与探测器 · 物理学 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

Due to the increase of data volumes expected for the LHC Run 3 and Run 4, the ALICE Collaboration designed and deployed a new, energy efficient, computing model to run Online and Offline O$^2$ data processing within a single software…

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