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Related papers: ALICE : online-offline processing for Run 3

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ALICE (A Large Ion Collider Experiment) at the CERN Large Hadron Collider (LHC) is designed to study proton-proton and heavy-ion collisions at ultra-relativistic energies. The main goal of the experiment is to assess the properties of quark…

Instrumentation and Detectors · Physics 2022-10-25 Livia Terlizzi

Starting in 2022, the upgraded LHCb detector will collect data with a pure software trigger. In its first stage, reducing the rate from 30MHz to about 1MHz, GPUs are used to reconstruct and trigger on B and D meson topologies and high-pT…

High Energy Physics - Experiment · Physics 2023-07-10 Sevda Esen , Arthur Marius Hennequin , Michel De Cian

ALICE is the LHC experiment dedicated to the study of heavy-ion collisions. At forward rapidity a muon spectrometer detects muons from low mass mesons, quarkonia, open heavy-flavor hadrons as well as weak bosons. A muon selection based on…

Instrumentation and Detectors · Physics 2019-08-13 Massimiliano Marchisone

ALICE 3 is the proposed next-generation heavy-ion experiment at the CERN Large Hadron Collider (LHC), envisioned for operation during Run 5. The tracking system of ALICE 3 will consist of a high-precision vertex detector integrated into a…

Instrumentation and Detectors · Physics 2025-10-21 Sanghoon Lim

The ALICE (A Large Ion Collider Experiment) experiment at the Large Hadron Collider (LHC) at CERN is dedicated to heavy ion physics to explore the structure of strongly interacting matter. The Time Projection Chamber (TPC) of ALICE is a…

Instrumentation and Detectors · Physics 2018-03-14 Erik Brücken , Timo Hildén

In this paper we present FASE (Fast Asynchronous Systems Evaluation), a tool for evaluating worst-case efficiency of asynchronous systems. This tool implements some well-established results in the setting of a timed CCS-like process…

Logic in Computer Science · Computer Science 2011-05-10 Massimo Callisto De Donato , Maria Rita Di Berardini

Maintaining computational load balance is important to the performant behavior of codes which operate under a distributed computing model. This is especially true for GPU architectures, which can suffer from memory oversubscription if…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-05 Michael E. Rowan , Axel Huebl , Kevin N. Gott , Jack Deslippe , Maxence Thévenet , Remi Lehe , Jean-Luc Vay

The Inner Tracking System (ITS) Upgrade for the ALICE experiment at LHC is the first large-area ($\sim$10~m$^2$) silicon vertex detector based on the CMOS Monolithic Active Pixel Sensor (MAPS) technology, which combines sensitive volume and…

Instrumentation and Detectors · Physics 2020-01-10 G. Contin

We overview recent jet measurements in pp and Pb-Pb collisions with the ALICE detector. ALICE reconstructs jets at midrapidity using the anti-$k_{\mathrm{T}}$ algorithm, including both charged particle jets from the ALICE tracking…

Nuclear Experiment · Physics 2020-11-30 James Mulligan

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

ALICE, the experiment dedicated to the study of heavy ion collisions at the LHC, uses an object-oriented framework for simulation, reconstruction and analysis (AliRoot) based on ROOT. Here, we describe the general ALICE simulation strategy…

Computational Physics · Physics 2007-05-23 F. Carminati , A. Morsch

High throughput and low latency data processing is essential for systems requiring live decision making, control, and machine learning-optimized data reduction. We focus on two distinct use cases for in-flight streaming data processing for…

Instrumentation and Detectors · Physics 2023-02-14 Jack Hirschman , Andrei Kamalov , Razib Obaid , Finn H. O'Shea , Ryan N Coffee

Analog in-memory computing (AIMC) cores offers significant performance and energy benefits for neural network inference with respect to digital logic (e.g., CPUs). AIMCs accelerate matrix-vector multiplications, which dominate these…

In this paper, we present FASE (Faster Asynchronous Systems Evaluation), a tool for evaluating the worst-case efficiency of asynchronous systems. The tool is based on some well-established results in the setting of a timed process algebra…

Logic in Computer Science · Computer Science 2011-05-10 Federico Buti , Massimo Callisto De Donato , Flavio Corradini , Maria Rita Di Berardini , Walter Vogler

As recurrent neural networks become larger and deeper, training times for single networks are rising into weeks or even months. As such there is a significant incentive to improve the performance and scalability of these networks. While…

Machine Learning · Computer Science 2016-04-08 Jeremy Appleyard , Tomas Kocisky , Phil Blunsom

Recurrent off-policy deep reinforcement learning models achieve state-of-the-art performance but are often sidelined due to their high computational demands. In response, we introduce RISE (Recurrent Integration via Simplified Encodings), a…

Machine Learning · Computer Science 2025-12-24 Tyler Clark , Christine Evers , Jonathon Hare

The new Inner Tracking System (ITS2) of the ALICE experiment began operation in 2021 with the start of LHC Run 3. Compared to its predecessor, ITS2 offers substantial improvements in pointing resolution, tracking efficiency at low…

Instrumentation and Detectors · Physics 2026-04-15 D. Agguiaro , G. Aglieri Rinella , L. Aglietta , M. Agnello , F. Agnese , B. Alessandro , G. Alfarone , J. Alme , E. Anderssen , D. Andreou , M. Angeletti , N. Apadula , P. Atkinson , C. Azzan , R. Baccomi , A. Badalà , A. Balbino , P. Barberis , F. Barile , L. Barioglio , R. Barthel , F. Baruffaldi , N. K. Behera , I. Belikov , A. Benato , M. Benettoni , F. Benotto , S. Beole , N. Bez , A. Bhatti , M. Bhopal , A. P. Bigot , G. Boca , G. Bonomi , M. Bonora , F. Borotto Dalla Vecchia , M. Borri , V. Borshchov , E. Botta , L. Boynton , G. Brower , E. Bruna , O. Brunasso Cattarello , G. E. Bruno , M. D. Buckland , S. Bufalino , P. Camerini , P. Cariola , C. Ceballos Sanchez , J. Cho , S. Cho , K. Choi , Y. Choi , N. J. Clague , O. A. Clausse , F. Colamaria , D. Colella , S. Coli , A. Collu , M. Concas , G. Contin , Y. Corrales Morales , S. Costanza , J. B. Dainton , E. Danè , W. Degraw , C. De Martin , W. Deng , G. De Robertis , P. Dhankher , A. Di Mauro , F. Dumitrache , D. Elia , M. R. Ersdal , J. Eum , A. Fantoni , G. Feofilov , J. Ferencei , F. Fichera , G. Fiorenza , A. N. Flores , A. Franco , M. Franco , J. P. Fransen , D. Gajanana , A. Galdames Perez , C. Gao , C. Gargiulo , L. Garizzo , P. Giubilato , M. Goffe , A. Grant , E. Grecka , L. Greiner , A. Grelli , A. Grimaldi , O. S. Groettvik , F. Grosa , C. Guo Hu , R. P. Hannigan , H. Helstrup , A. Hill , H. Hillemanns , P. Hindley , G. Huang , M. Iannone , J. P. Iddon , P. Ijzermans , M. A. Imhoff , A. Isakov , J. Jeong , T. Johnson , A. Junique , J. Kaewjai , M. Keil , Z. Khabanova , H. Khan , H. Kim , J. Kim , J. Kim , J. Kim , M. Kim , T. Kim , J. Klein , C. Kobdaj , A. Kotliarov , M. J. Kraan , I. Králik , F. Krizek , T. Kugathasan , C. Kuhn , P. G. Kuijer , S. Kushpil , M. J. Kweon , M. Kwon , Y. Kwon , P. La Rocca , N. Lacalamita , P. Larionov , G. Ledey , S. Lee , T. Lee , R. C. Lemmon , Y. Lesenechal , E. D. Lesser , B. E. Liang-Gilman , F. Librizzi , B. Lim , S. Lim , S. Lindsay , J. Liu , J. Liu , F. Loddo , M. Lupi , M. Mager , A. Maire , G. Mandaglio , V. Manzari , C. Markert , G. Markey , D. Marras , P. Martinengo , S. Martiradonna , M. Masera , A. Mastroserio , G. Mazza , D. Mazzaro , F. Mazzaschi , M. Mazzilli , L. Mcalpine , M. Mongelli , J. Morant , F. Morel , P. Morrall , V. Muccifora , A. Mulliri , L. Musa , A. I. Nambrath , M. Obergger , A. Orlandi , A. Palasciano , R. Panero , E. Paoletti , G. S. Pappalardo , O. Parasole , J. Park , L. Passamonti , C. Pastore , R. N. Patra , F. Pellegrino , A. Pepato , C. Petta , S. Piano , D. Pierluigi , S. Pisano , M. Pĺoskoń , M. T. Poblocki , S. Politano , E. Prakasa , F. Prino , M. Protsenko , M. Puccio , C. Puggioni , A. Rachevski , L. Ramello , M. Rasa , I. Ravasenga , A. U. Rehman , F. Reidt , M. Richter , F. Riggi , M. Rizzi , K. Røed , D. Röhrich , F. Ronchetti , M. J. Rossewij , A. Rossi , A. Russo , B. Di Ruzza , G. Saccà , M. Sacchetti , R. Sadikin , A. Sanchez Gonzalez , U. Savino , J. Schambach , F. Schlepper , R. Schotter , P. J. Secouet , M. Selina , S. Senyukov , J. J. Seo , R. Shahoyan , S. Shaukat , F. Shirokopetlev , K. Sielewicz , G. Simantovic , M. Sitta , R. J. M. Snellings , W. Snoeys , J. Song , J. M. Sonneveld , R. Spijkers , A. Sturniolo , C. P. Stylianidis , M. Šuljić , D. Sun , X. Sun , R. A. Syed , A. Szczepankiewicz , C. Terrevoli , M. Toppi , A. Trifiró , A. S. Triolo , S. Trogolo , V. Trubnikov , M. Turcato , R. Turrisi , T. Tveter , I. Tymchuk , G. L. Usai , V. Valentino , N. Valle , J. B. Van Beelen , J. W. Van Hoorne , T. Vanat , M. Varga-Kofarago , A. Velure , G. Venier , F. Veronese , A. Villani , A. Viticchié , C. Wabnitz , Y. Wang , P. Yang , E. R. Yeats , I. -K. Yoo , J. H. Yoon , S. Yuan , V. Zaccolo , A. Zampieri , C. Zampolli , E. Zhang , L. Zhang , X. Zhang , Z. Zhang , V. Zherebchevskii , N. Zurlo

Achieving practical quantum advantage on fault-tolerant quantum computers (FTQC) is fundamentally constrained by the substantial spatial and temporal overheads required to map logical operations onto physical hardware. Existing compilation…

Quantum Physics · Physics 2026-05-15 Dhanvi Bharadwaj , Siddharth Dangwal , Yuewen Hou , Gokul Subramanian Ravi

A Large Ion Collider Experiment (ALICE) at the Large Hadron Collider (LHC) at CERN went through a major upgrade in which some of its subdetectors were replaced with new ones, while others are equipped with new electronics. The aim of the…

Instrumentation and Detectors · Physics 2022-10-28 Orcel Thys-dingou , Atanda Raji , Zinhle Buthelezi , Siegfried Fortsch

Track finding and fitting algorithm in the ALICE Time projection chamber (TPC) based on Kalman-filtering is presented. Implementation of particle identification (PID) using d$E$/d$x$ measurement is discussed. Filtering and PID algorithm is…

Data Analysis, Statistics and Probability · Physics 2007-05-23 M. Ivanov , K. Safarik , Y. Belikov , J. Bracinik