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Measurements at the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory have revealed strong modification of the jet structure in high-energy heavy-ion collisions, which can be attributed to the interaction of hard…

核实验 · 物理学 2015-05-28 Andre Mischke

The proposed high luminosity high energy Electron-Ion Collider (EIC) will explore the proton/nuclear structure in a wide Bjorken-x ($x_{BJ}$) and $Q^{2}$ phase space. Heavy flavor products are generated in initial collisions and have their…

高能物理 - 实验 · 物理学 2021-06-21 Xuan Li

Deep inelastic scattering on nuclei at the Electron-Ion Collider will open new opportunities to investigate the structure of matter. Heavy flavor-tagged jets are complementary probes of the partonic composition and transport coefficients of…

高能物理 - 唯象学 · 物理学 2022-03-09 Hai Tao Li , Ze Long Liu , Ivan Vitev

The flavour-tagging algorithms developed by the ATLAS Collaboration and used to analyse its dataset of $\sqrt s = 13$ TeV $pp$ collisions from Run 2 of the Large Hadron Collider are presented. These new tagging algorithms are based on…

数据分析、统计与概率 · 物理学 2023-08-15 ATLAS Collaboration

The ultra-relativistic heavy-ion programs at the Relativistic Heavy Ion Collider and the Large Hadron Collider have evolved into a phase of quantitative studies of Quantum Chromodynamics at very high temperatures. The charm and bottom…

核实验 · 物理学 2020-01-08 Xin Dong , Yen-jie Lee , Ralf Rapp

Heavy flavor hadrons, i.e. those containing charm and bottom quarks, will be abundantly produced at the LHC and are important probes of the Quark-Gluon Plasma (QGP). Of particular interest is the investigation of parton energy loss in the…

核实验 · 物理学 2016-11-25 Mark Heinz

Identifying and reconstructing hadronic $\tau$ decays ($\tau_{\textrm{h}}$) is an important task at current and future high-energy physics experiments, as $\tau_{\textrm{h}}$ represent an important tool to analyze the production of Higgs…

高能物理 - 实验 · 物理学 2024-08-02 Torben Lange , Saswati Nandan , Joosep Pata , Laurits Tani , Christian Veelken

The future Electron-Ion Collider (EIC) will operate a series of high-luminosity high-energy electron+proton ($e+p$) and electron+nucleus ($\textit{e + A}$) collisions to study several fundamental questions in the high energy and nuclear…

核实验 · 物理学 2025-04-24 Xuan Li

Charmonia suppression has been considered as a smoking gun signature of quark-gluon plasma. However, the Large Hadron Collider has observed a lower degree of suppression as compared to the Relativistic Heavy Ion Collider energies, due to…

高能物理 - 唯象学 · 物理学 2024-12-19 Raghunath Sahoo

The ECCE detector has been recommended as the selected reference detector for the future Electron-Ion Collider (EIC). A series of simulation studies have been carried out to validate the physics feasibility of the ECCE detector. In this…

仪器与探测器 · 物理学 2022-07-26 X. Li , J. K. Adkins , Y. Akiba , A. Albataineh , M. Amaryan , I. C. Arsene , C. Ayerbe Gayoso , J. Bae , X. Bai , M. D. Baker , M. Bashkanov , R. Bellwied , F. Benmokhtar , V. Berdnikov , J. C. Bernauer , F. Bock , W. Boeglin , M. Borysova , E. Brash , P. Brindza , W. J. Briscoe , M. Brooks , S. Bueltmann , M. H. S. Bukhari , A. Bylinkin , R. Capobianco , W. -C. Chang , Y. Cheon , K. Chen , K. -F. Chen , K. -Y. Cheng , M. Chiu , T. Chujo , Z. Citron , E. Cline , E. Cohen , T. Cormier , Y. Corrales Morales , C. Cotton , J. Crafts , C. Crawford , S. Creekmore , C. Cuevas , J. Cunningham , G. David , C. T. Dean , M. Demarteau , S. Diehl , N. Doshita , R. Dupré , J. M. Durham , R. Dzhygadlo , R. Ehlers , L. El Fassi , A. Emmert , R. Ent , C. Fanelli , R. Fatemi , S. Fegan , M. Finger , M. Finger , J. Frantz , M. Friedman , I. Friscic , D. Gangadharan , S. Gardner , K. Gates , F. Geurts , R. Gilman , D. Glazier , E. Glimos , Y. Goto , N. Grau , S. V. Greene , A. Q. Guo , L. Guo , S. K. Ha , J. Haggerty , T. Hayward , X. He , O. Hen , D. W. Higinbotham , M. Hoballah , T. Horn , A. Hoghmrtsyan , P. -h. J. Hsu , J. Huang , G. Huber , A. Hutson , K. Y. Hwang , C. E. Hyde , M. Inaba , T. Iwata , H. S. Jo , K. Joo , N. Kalantarians , G. Kalicy , K. Kawade , S. J. D. Kay , A. Kim , B. Kim , C. Kim , M. Kim , Y. Kim , Y. Kim , E. Kistenev , V. Klimenko , S. H. Ko , I. Korover , W. Korsch , G. Krintiras , S. Kuhn , C. -M. Kuo , T. Kutz , J. Lajoie , D. Lawrence , S. Lebedev , H. Lee , J. S. H. Lee , S. W. Lee , Y. -J. Lee , W. Li , W. B. Li , X. Li , X. Li , X. Li , Y. T. Liang , S. Lim , C. -H. Lin , D. X. Lin , K. Liu , M. X. Liu , K. Livingston , N. Liyanage , W. J. Llope , C. Loizides , E. Long , R. -S. Lu , Z. Lu , W. Lynch , S. Mantry , D. Marchand , M. Marcisovsky , C. Markert , P. Markowitz , H. Marukyan , P. McGaughey , M. Mihovilovic , R. G. Milner , A. Milov , Y. Miyachi , A. Mkrtchyan , P. Monaghan , R. Montgomery , D. Morrison , A. Movsisyan , H. Mkrtchyan , A. Mkrtchyan , C. Munoz Camacho , M. Murray , K. Nagai , J. Nagle , I. Nakagawa , C. Nattrass , D. Nguyen , S. Niccolai , R. Nouicer , G. Nukazuka , M. Nycz , V. A. Okorokov , S. Orešić , J. D. Osborn , C. O'Shaughnessy , S. Paganis , Z. Papandreou , S. F. Pate , M. Patel , C. Paus , G. Penman , M. G. Perdekamp , D. V. Perepelitsa , H. Periera da Costa , K. Peters , W. Phelps , E. Piasetzky , C. Pinkenburg , I. Prochazka , T. Protzman , M. L. Purschke , J. Putschke , J. R. Pybus , R. Rajput-Ghoshal , J. Rasson , B. Raue , K. F. Read , K. Røed , R. Reed , J. Reinhold , E. L. Renner , J. Richards , C. Riedl , T. Rinn , J. Roche , G. M. Roland , G. Ron , M. Rosati , C. Royon , J. Ryu , S. Salur , N. Santiesteban , R. Santos , M. Sarsour , J. Schambach , A. Schmidt , N. Schmidt , C. Schwarz , J. Schwiening , R. Seidl , A. Sickles , P. Simmerling , S. Sirca , D. Sharma , Z. Shi , T. -A. Shibata , C. -W. Shih , S. Shimizu , U. Shrestha , K. Slifer , K. Smith , D. Sokhan , R. Soltz , W. Sondheim , J. Song , J. Song , I. I. Strakovsky , P. Steinberg , P. Stepanov , J. Stevens , J. Strube , P. Sun , X. Sun , K. Suresh , V. Tadevosyan , W. -C. Tang , S. Tapia Araya , S. Tarafdar , L. Teodorescu , D. Thomas , A. Timmins , L. Tomasek , N. Trotta , R. Trotta , T. S. Tveter , E. Umaka , A. Usman , H. W. van Hecke , C. Van Hulse , J. Velkovska , E. Voutier , P. K. Wang , Q. Wang , Y. Wang , Y. Wang , D. P. Watts , N. Wickramaarachchi , L. Weinstein , M. Williams , C. -P. Wong , L. Wood , M. H. Wood , C. Woody , B. Wyslouch , Z. Xiao , Y. Yamazaki , Y. Yang , Z. Ye , H. D. Yoo , M. Yurov , N. Zachariou , W. A. Zajc , W. Zha , J. -L. Zhang , J. -X. Zhang , Y. Zhang , Y. -X. Zhao , X. Zheng , P. Zhuang

The future Electron-Ion Collider (EIC), which is expected to start construction at Brookhaven National Laboratory in 2025, will utilize high-luminosity high-energy electron+proton and electron+nucleus collisions to explore several…

高能物理 - 唯象学 · 物理学 2023-06-12 Xuan Li

This paper describes a method for detecting a rare top quark decay into a charm quark and a Higgs boson (H), which decays further into b quarks, at the Large Hadron Collider (LHC), and introduces a tagging algorithm to identify boosted tops…

高能物理 - 唯象学 · 物理学 2025-02-18 Shreecheta Chowdhury , Amit Chakraborty , Saunak Dutta

Many measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and…

仪器与探测器 · 物理学 2018-05-10 CMS Collaboration

Jet flavour tagging is crucial in experimental high-energy physics. A tagging algorithm, DeepJetTransformer, is presented, which exploits a transformer-based neural network that is substantially faster to train than state-of-the-art graph…

高能物理 - 实验 · 物理学 2025-02-11 Freya Blekman , Florencia Canelli , Alexandre De Moor , Kunal Gautam , Armin Ilg , Anna Macchiolo , Eduardo Ploerer

Measurements of the heavy-flavour hadron production are a powerful tool to study the nature of strong interaction and to understand the properties of nuclear matter that is created in ultra-relativistic hadron-hadron collisions. The…

核实验 · 物理学 2017-09-29 Robert Vertesi

Deep learning can give a significant impact on physics performance of electron-positron Higgs factories such as ILC and FCCee. We are working on two topics on event reconstruction to apply deep learning. The first is jet flavor tagging, in…

数据分析、统计与概率 · 物理学 2025-03-11 Taikan Suehara , Risako Tagami , Lai Gui , Tatsuki Murata , Tomohiko Tanabe , Wataru Ootani , Masaya Ishino

The ATLAS and CMS experiments at the LHC conduct an extensive program to study production of events with a W or Z boson and particle jets. Dedicated studies focus on final states with the jets containing decays of heavy-flavor hadrons…

高能物理 - 实验 · 物理学 2019-08-13 A. A. Paramonov

A new algorithm based on a deep neural network, DeepSets, for tagging the production flavour of neutral $B^0$ and $B^0_s$ mesons in proton-proton collisions is presented. Exploiting a comprehensive set of tracks associated with the…

高能物理 - 实验 · 物理学 2026-02-18 J. E. Blank

Many measurements at the LHC require efficient identification of heavy-flavour jets, i.e. jets originating from bottom (b) or charm (c) quarks. An overview of the algorithms used to identify c jets is described and a novel method to…

高能物理 - 实验 · 物理学 2022-03-22 CMS Collaboration

The LHC data on the forward heavy flavour hadron production can be a new unique source for estimation of intrinsic charm and bottom contributions to the proton. For example, we analyze the forward heavy baryon production, namely…

高能物理 - 唯象学 · 物理学 2015-06-05 G. I. Lykasov , V. A. Bednyakov , A. F. Pikelner , N. I. Zimin