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Related papers: Fast Entropy Coding for ALICE Run 3

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The ALICE experiment at CERN will propose unprecedented requirements for event building and data recording. New technologies will be adopted as well as ad-hoc frameworks, from the acquisition of experimental data up to the transfer onto…

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 2009-11-10 V. Lindenstruth , C. Loizides , D. Roehrich , B. Skaali , T. Steinbeck , R. Stock , H. Tilsner , K. Ullaland , A. Vestbo , T. Vik

At the Large Hadron Collider at CERN in Geneva, Switzerland, atomic nuclei are collided at ultra-relativistic energies. Many final-state particles are produced in each collision and their properties are measured by the ALICE detector. The…

Instrumentation and Detectors · Physics 2019-11-11 ALICE Collaboration

ALICE (A Large Ion Collider Experiment) is the CERN LHC experiment optimized for the study of the strongly interacting matter produced in heavy-ion collisions and devoted to the characterization of the Quark-Gluon Plasma. To achieve the…

Instrumentation and Detectors · Physics 2019-12-30 Domenico Colella

In view of Run 4 at the LHC, presently scheduled from 2029 onwards, ALICE is pursuing several upgrades to further extend its physics reach. In order to improve heavy-flavor hadron and dielectron measurements which rely on secondary…

Instrumentation and Detectors · Physics 2022-10-31 A. Ferretti

Over the last few years, machine learning unlocked previously infeasible features for compression, such as providing guarantees for users' privacy or tailoring compression to specific data statistics (e.g., satellite images or audio…

Information Theory · Computer Science 2026-03-25 Gergely Flamich

Entropy coding is the backbone data compression. Novel machine-learning based compression methods often use a new entropy coder called Asymmetric Numeral Systems (ANS) [Duda et al., 2015], which provides very close to optimal bitrates and…

Machine Learning · Statistics 2022-01-11 Robert Bamler

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

A new run length encoding algorithm for lossless data compression that exploits positional redundancy by representing data in a two-dimensional model of concentric circles is presented. This visual transform enables detection of runs (each…

Data Structures and Algorithms · Computer Science 2021-07-30 Pranav Venkatram

ALICE (A Large Ion Collider Experiment) is one of four major experiments at the Large Hadron Collider (LHC) at CERN. The High Level Trigger (HLT) is a compute cluster, which reconstructs collisions as recorded by the ALICE detector in…

A Large Ion Collider Experiment (ALICE) is built to study the properties of the strongly interacting matter created in heavy-ion collisions at the LHC. With the upgrade of its Inner Tracking System (ITS), the ALICE experiment is going to…

Instrumentation and Detectors · Physics 2016-11-23 Iouri Belikov

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 recent ALICE results on hard probes, focusing on open heavy flavor, quarkonia, and jet measurements in pp and Pb--Pb collisions are presented. During the LHC Run 3, the continuous readout of the upgraded Time Projection Chamber (TPC)…

Nuclear Experiment · Physics 2025-06-12 Xiaozhi Bai

The ALICE detector was designed to identify hadrons over a wide range of transverse momentum at mid-rapidity. Here measurements of light charged ({\pi}, K, p) and neutral ({\Lambda}, K0S) hadrons in Pb-Pb collisions at sqrt(s_NN) = 2.76 TeV…

Nuclear Experiment · Physics 2019-08-13 L. S. Barnby

High-energy large-scale particle colliders produce data at high speed in the order of 1 terabytes per second in nuclear physics and petabytes per second in high-energy physics. Developing real-time data compression algorithms to reduce such…

Machine Learning · Statistics 2023-10-25 Yi Huang , Yihui Ren , Shinjae Yoo , Jin Huang

The modern data compression is mainly based on two approaches to entropy coding: Huffman (HC) and arithmetic/range coding (AC). The former is much faster, but approximates probabilities with powers of 2, usually leading to relatively low…

Information Theory · Computer Science 2014-01-07 Jarek Duda

Entropy coding is widely used in typical learned image compression (LIC) that converts latents into a compact bitstream. However, entropy coding is typically sequential and becomes the coding latency bottleneck. To overcome it, we present…

Image and Video Processing · Electrical Eng. & Systems 2026-05-25 Hao Cao , Wenqi Guo , Zhijin Qin , Jungong Han

The ALICE collaboration prepares multiple upgrades to further extend the reach of heavy-ion physics at the LHC. For LHC Run 4 (2030-2033), a Forward Calorimeter (FoCal) system combines a high-granularity electromagnetic silicon-tungsten…

Instrumentation and Detectors · Physics 2024-10-30 Felix Reidt

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

During Large Hadron Collider (LHC) Long Shutdown 3 (LS3) (2026-28), the ALICE experiment is replacing its inner-most three tracking layers by a new detector, Inner Tracking System 3. It will be based on newly developed wafer-scale…

Instrumentation and Detectors · Physics 2024-09-04 Chun-Zheng Wang
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