CERN Accelerating science

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Book cover Cover not available ECFA Higgs, electroweak, and top factory study / Altmann, J.
The ECFA Higgs, electroweak, and top Factory Study ran between 2021 and 2025 as a broad effort across the experimental and theoretical particle physics communities, bringing together participants from many different proposed future collider projects [...]
arXiv:2506.15390 ; CERN-2025-005 - 2025-06-18 - 378. (CERN Yellow Reports: Monographs ; 5/2025)


ebook
2.
The Linear Collider Facility (LCF) at CERN / Linear Collider Collaboration
In this paper we outline a proposal for a Linear Collider Facility as the next flagship project for CERN. [...]
arXiv:2503.24049 ; DESY-25-054 ; FERMILAB-PUB-25-0239-CSAID.
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Fermilab Library Server - Fulltext - Fulltext
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A Linear Collider Vision for the Future of Particle Physics / Linear Collider Vision Collaboration
In this paper we review the physics opportunities at linear $e^+e^-$ colliders with a special focus on high centre-of-mass energies and beam polarisation, take a fresh look at the various accelerator technologies available or under development and, for the first time, discuss how a facility first equipped with a technology mature today could be upgraded with technologies of tomorrow to reach much higher energies and/or luminosities. [...]
arXiv:2503.19983 ; FERMILAB-PUB-25-0216-CSAID-TD.
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Fermilab Library Server - Fulltext - Fulltext
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Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine Learning / CALICE Collaboration
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. Three published neural network-based shower separation models were applied to simulation and experimental data to measure the performance of the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL) technological prototype in distinguishing the energy deposited by a single charged and single neutral hadron for Particle Flow. [...]
arXiv:2407.00178.- 2024-10-24 - 29 p. - Published in : JINST 19 (2024) P10027 Fulltext: 2407.00178 - PDF; document - PDF;
5.
Software Compensation for Highly Granular Calorimeters using Machine Learning / CALICE Collaboration
A neural network for software compensation was developed for the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL). The neural network uses spatial and temporal event information from the AHCAL and energy information, which is expected to improve sensitivity to shower development and the neutron fraction of the hadron shower. [...]
arXiv:2403.04632.- 2024-04 - 27 p. - Published in : JINST 19 (2024) P04037 Fulltext: 2403.04632 - PDF; Publication - PDF;
6.
CEPC Technical Design Report: Accelerator / CEPC Study Group Collaboration
The Circular Electron Positron Collider (CEPC) is a large scientific project initiated and hosted by China, fostered through extensive collaboration with international partners. The complex comprises four accelerators: a 30 GeV Linac, a 1.1 GeV Damping Ring, a Booster capable of achieving energies up to 180 GeV, and a Collider operating at varying energy modes (Z, W, H, and ttbar). [...]
arXiv:2312.14363; IHEP-CEPC-DR-2023-01; IHEP-AC-2023-01.- 2024-12-16 - 9 p. - Published in : Radiat. Detect. Technol. Methods: 8 (2024) , no. 1, pp. 1-1105 Fulltext: 2312.14363 - PDF; Publication - PDF; document - PDF;
7.
The International Linear Collider: Report to Snowmass 2021 / ILC International Development Team Collaboration
The International Linear Collider (ILC) is on the table now as a new global energy-frontier accelerator laboratory taking data in the 2030s. [...]
arXiv:2203.07622 ; DESY-22-045 ; IFT-UAM/CSIC-22-028 ; KEK Preprint 2021-61 ; IFT--UAM/CSIC--22-028 ; KEK Preprint 2021-61, PNNL-SA-160884 ; SLAC-PUB-17662 ; FERMILAB-FN-1171-PPD-QIS-SCD-TD ; PNNL-SA-160884.
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Fermilab Library Server - eConf - FUlltext - Fulltext
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Reconstruction of physics objects at the Circular Electron Positron Collider with Arbor / Ruan, M. (Institute of High Energy Physics Beijing) ; Zhao, H. (Institute of High Energy Physics Beijing) ; Li, G. (Institute of High Energy Physics Beijing) ; Fu, C. (Institute of High Energy Physics Beijing) ; Wang, Z. (Institute of High Energy Physics Beijing) ; Lou, X. (Institute of High Energy Physics, Chinese Academy of Sciences, University of Texas, UCAS) ; Yu, D. (Institute of High Energy Physics Beijing, CNRS-LLR) ; Boudry, V. (CNRS-LLR) ; Videau, H. (CNRS-LLR) ; Balagura, V. (CNRS-LLR) et al.
After the Higgs discovery, precise measurements of the Higgs properties and the electroweak observables become vital for the experimental particle physics. A powerful Higgs/Z factory, the Circular Electron Positron Collider (CEPC) is proposed. [...]
AIDA-2020-PUB-2018-014.- Geneva : CERN, 2018 - Published in : 10.1140/epjc/s10052-018-5876-z Fulltext: PDF;
9.
CALICE/ILD SiW-ECAL an adaptative design / Boudry, V. (CNRS-LLR) ; Anduze, M. (CNRS-LLR) ; Brient, J.C. (CNRS-LLR) ; Korostyshevskiy, O. (CNRS-LLR) ; Guillaumat, R. (CNRS-LLR) ; Louzir, M. (CNRS-LLR) ; Magniette, F. (CNRS-LLR) ; Nanni, J. (CNRS-LLR) ; Videau, H. (CNRS-LLR)
AIDA-2020-SLIDE-2020-003.- Geneva : CERN, 2020 Fulltext: PDF;
10.
Particle Identification Using Boosted Decision Trees in the Semi-Digital Hadronic Calorimeter Prototype / CALICE Collaboration
The CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) prototype using Glass Resistive Plate Chambers as a sensitive medium is the first technological prototype of a family of high-granularity calorimeters developed by the CALICE collaboration to equip the experiments of future leptonic colliders. It was exposed to beams of hadrons, electrons and muons several times in the CERN PS and SPS beamlines between 2012 and 2018. [...]
arXiv:2004.02972; CALICE-PUB-2020-001.- 2020-10-13 - 17 p. - Published in : JINST 15 (2020) P10009 Fulltext: PDF;

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