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Next-generation high-energy electron-positron colliders, operating as Higgs factories, require an unprecedented jet energy resolution for precision measurements of Higgs and Z/W bosons. To address this challenge, a conceptual design is…

Instrumentation and Detectors · Physics 2026-03-10 Baohua Qi , Fangyi Guo , Shu Li , Yong Liu , Manqi Ruan , Weizheng Song , Shengsen Sun , Yifang Wang , Yuexin Wang , Haijun Yang , Yang Zhang , Zhiyu Zhao

In this tutorial-style review we discuss basic concepts of coupled cluster theory and recent developments that increase its computational efficiency for calculations of molecules, solids and materials in general. We will touch upon the…

Materials Science · Physics 2020-04-15 Igor Ying Zhang , Andreas Grüneis

Compelling arguments suggest the presence of new physics at energy scales that will be probed by frontier energy colliders over the next decade. Arguments for each of the many flavors of new physics that have been proposed seem much less…

High Energy Physics - Experiment · Physics 2014-11-17 Bruce Knuteson

In future high-energy physics experiments, the electromagnetic calorimeter (ECAL) will operate in exceptionally high-luminosity. An ECAL featuring layered readout in the longitudinal direction and precise time-stamped information offers a…

High Energy Physics - Experiment · Physics 2025-05-08 J. Fei , A. Yuan , K. Wei , L. Sun , J. Wang

A large Time Projection Chamber is the main device for tracking and charged-particle identification in the ALICE experiment at the CERN LHC. After the second long shutdown in 2019/20, the LHC will deliver Pb beams colliding at an…

Instrumentation and Detectors · Physics 2018-07-16 M. M. Aggarwal , Z. Ahammed , S. Aiola , J. Alme , T. Alt , W. Amend , A. Andronic , V. Anguelov , H. Appelshäuser , M. Arslandok , R. Averbeck , M. Ball , G. G. Barnaföldi , E. Bartsch , R. Bellwied , G. Bencedi , M. Berger , N. Bialas , P. Bialas , L. Bianchi , S. Biswas , L. Boldizsár , L. Bratrud , P. Braun-Munzinger , M. Bregant , C. L. Britton , E. J. Brucken , H. Caines , A. J. Castro , S. Chattopadhyay , P. Christiansen , L. G. Clonts , T. M. Cormier , S. Das , S. Dash , A. Deisting , S. Dittrich , A. K. Dubey , R. Ehlers , M. Engel , F. Erhardt , N. B. Ezell , L. Fabbietti , U. Frankenfeld , J. J. Gaardhøje , C. Garabatos , P. Gasik , Á. Gera , P. Ghosh , S. K. Ghosh , P. Glässel , O. Grachov , A. Grein , T. Gunji , H. Hamagaki , G. Hamar , J. W. Harris , P. Hauer , J. Hehner , E. Hellbär , H. Helstrup , T. E. Hilden , B. Hohlweger , M. Ivanov , M. Jung , D. Just , E. Kangasaho , R. Keidel , B. Ketzer , S. A. Khan , S. Kirsch , T. Klemenz , S. Klewin , A. G. Knospe , M. Kowalski , L. Kumar , R. Lang , R. Langoy , L. Lautner , F. Liebske , J. Lien , C. Lippmann , H. M. Ljunggren , W. J. Llope , S. Mahmood , T. Mahmoud , R. Majka , P. Malzacher , A. Marín , C. Markert , S. Masciocchi , A. Mathis , A. Matyja , M. Meres , D. L. Mihaylov , D. Miskowiec , J. Mitra , T. Mittelstaedt , T. Morhardt , J. Mulligan , R. H. Munzer , K. Münning , M. G. Munhoz , S. Muhuri , H. Murakami , B. K. Nandi , H. Natal da Luz , C. Nattrass , T. K. Nayak , R. A. Negrao De Oliveira , M. Nicassio , B. S. Nielsen , L. Oláh , A. Oskarsson , J. Otwinowski , K. Oyama , G. Paić , R. N. Patra , V. Peskov , M. Pikna , L. Pinsky , M. Planinic , M. G. Poghosyan , N. Poljak , F. Pompei , S. K. Prasad , C. A. Pruneau , J. Putschke , S. Raha , J. Rak , J. Rasson , V. Ratza , K. F. Read , A. Rehman , R. Renfordt , T. Richert , K. Røed , D. Röhrich , T. Rudzki , R. Sahoo , S. Sahoo , P. K. Sahu , J. Saini , B. Schaefer , J. Schambach , S. Scheid , C. Schmidt , H. R. Schmidt , N. V Schmidt , H. Schulte , K. Schweda , I. Selyuzhenkov , N. Sharma , D. Silvermyr , R. N. Singaraju , B. Sitar , N. Smirnov , S. P. Sorensen , F. Sozzi , J. Stachel , E. Stenlund , P. Strmen , I. Szarka , G. Tambave , K. Terasaki , A. Timmins , K. Ullaland , A. Utrobicic , D. Varga , R. Varma , A. Velure , V. Vislavicius , S. Voloshin , B. Voss , D. Vranic , J. Wiechula , S. Winkler , J. Wikne , B. Windelband , C. Zhao

Segmentation from point cloud data is essential in many applications such as remote sensing, mobile robots, or autonomous cars. However, the point clouds captured by the 3D range sensor are commonly sparse and unstructured, challenging…

Computer Vision and Pattern Recognition · Computer Science 2022-11-14 Yu Cao , Yancheng Wang , Yifei Xue , Huiqing Zhang , Yizhen Lao

Quantum circuit simulation is crucial for the development of quantum algorithms, particularly given the high cost and noise limitations of physical quantum hardware. While full-state quantum circuit simulation is commonly employed for…

Quantum Physics · Physics 2026-04-15 Chuan-Chi Wang , Yan-Jie Wang , Chia-Heng Tu , Shih-Hao Hung

The CALICE collaboration is involved in the design of compact calorimeters featuring a high granularity. The technical developments have to overcome various design issues such as the power dissipation, the integration of the front-end…

Instrumentation and Detectors · Physics 2009-02-02 Remi Cornat

The LHCb experiment at the Large Hadron Collider (LHC) at CERN has successfully performed a large number of physics measurements during Runs 1 and 2 of the LHC. Monte Carlo simulation is key to the interpretation of these and future…

Instrumentation and Detectors · Physics 2025-11-05 Michal Mazurek , Gloria Corti , Dominik Muller

To achieve state-of-the-art jet energy resolution for Particle Flow, sophisticated energy clustering algorithms must be developed that can fully exploit available information to separate energy deposits from charged and neutral particles.…

Quantum computing applications are an emerging field in high-energy physics. Its ambitious fusion with artificial intelligence is expected to deliver significant efficiency gains over existing methods and/or enable computation from a…

Quantum Physics · Physics 2025-11-24 Hideki Okawa

The CMS Collaboration is preparing to build replacement endcap calorimeters for the HL-LHC era. The new high-granularity calorimeter (HGCAL) is, as the name implies, a highly-granular sampling calorimeter with approximately six million…

Instrumentation and Detectors · Physics 2022-12-21 Thorben Quast

The Coupled Cluster (CC) method is used to compute the electronic correlation energy in atoms and molecules and often leads to highly accurate results. However, due to its single-reference nature, standard CC in its projected form fails to…

Crystal calorimeters have a long history of pushing the frontier on high-resolution electromagnetic (EM) calorimetry. We explore in this paper major innovations in collider detector performance that can be achieved with crystal calorimetry…

Instrumentation and Detectors · Physics 2020-11-11 Marco T. Lucchini , Wonyong Chung , Sarah C. Eno , Yihui Lai , Lorenzo Lucchini , Minh-Thi Nguyen , Christopher G. Tully

Using detailed simulations of calorimeter showers as training data, we investigate the use of deep learning algorithms for the simulation and reconstruction of particles produced in high-energy physics collisions. We train neural networks…

For Run 4, ALICE is pioneering the construction of truly cylindrical tracking layers, which will improve the measurements of heavy-flavour hadrons and dielectrons. In addition, a Forward Calorimeter (FoCal) for the measurement of direct…

Nuclear Experiment · Physics 2022-11-10 H. Sebastian Scheid

The existing CMS endcap calorimeters will be replaced with a High Granularity Calorimeter (HGCAL) for operation at the High Luminosity (HL) LHC. Radiation hardness and excellent physics performance will be achieved by utilising silicon pad…

Instrumentation and Detectors · Physics 2020-08-26 Artur Lobanov

We present high-precision quantum computing simulations of three-body atoms (He, H$^-$) and molecules (H$_2^+$, HD$^+$), the latter being studied beyond the Born-Oppenheimer approximation. The Non-Iterative Disentangled Unitary Coupled…

Quantum Physics · Physics 2025-10-22 Mohammad Haidar , Hugo D. Nogueira , J. -Ph. Karr

Cluster analysis which focuses on the grouping and categorization of similar elements is widely used in various fields of research. Inspired by the phenomenon of atomic fission, a novel density-based clustering algorithm is proposed in this…

Machine Learning · Computer Science 2020-04-28 Shizhan Lu

This study introduces chromatic calorimetry, a novel particle detection method that uses strategically layered scintillators with different emission wavelengths. This approach aims to enhance energy measurement by capturing particle…

Instrumentation and Detectors · Physics 2025-01-16 Devanshi Arora , Matteo Salomoni , Yacine Haddad , Vojtech Zabloudil , Michael Doser , Masaki Owari , Etiennette Auffray