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A new type of resistive plate chamber with thin-film electrodes based on diamond-like carbon is under development for background identification in the MEG II experiment. Installed in a low-momentum and high-intensity muon beam, the detector…

Instrumentation and Detectors · Physics 2023-07-19 Kensuke Yamamoto , Sei Ban , Kei Ieki , Atsuhiko Ochi , Rina Onda , Wataru Ootani , Atsushi Oya , Masato Takahashi

A cylindrical GEM detector is under development, to serve as an upgraded inner tracker at the BESIII spectrometer. It will consist of three layers of cylindrically-shaped triple GEMs surrounding the interaction point. The experiment is…

In this study, we developed a new proton detector system called CATCH, which was designed for a scattering experiment involving a $\Sigma$ hyperon and a proton (J-PARC E40). CATCH is a cylindrical detector system covering an inner target…

Instrumentation and Detectors · Physics 2022-03-14 Y. Akazawa , N. Chiga , N. Fujioka , S. H. Hayakawa , R. Honda , M. Ikeda , K. Matsuda , K. Miwa , Y. Nakada , T. Nanamura , S. Ozawa , T. Shiozaki , H. Tamura , H. Umetsu

Lepton flavor violation is one of the cleanest probes of physics beyond the standard model. In this work, we explore the sensitivity of the process $e^+ e^- \to \tau \mu$ to new physics above the TeV scale at the proposed circular…

High Energy Physics - Phenomenology · Physics 2023-05-09 Wolfgang Altmannshofer , Pankaj Munbodh , Talise Oh

We study deeply virtual Compton scattering and deep exclusive meson electroproduction on a deuteron target. We model the Generalized Quark Distributions in the deuteron by using the impulse approximation for the lowest Fock-space state on…

High Energy Physics - Phenomenology · Physics 2014-11-17 F. Cano , B. Pire

Object detection has advanced significantly with Detection Transformers (DETRs). However, these models are computationally demanding, posing challenges for deployment in resource-constrained environments (e.g., self-driving cars). Knowledge…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Qizhen Lan , Qing Tian

Eating monitoring has remained an open challenge in medical research for years due to the lack of non-invasive sensors for continuous monitoring and the reliable methods for automatic behavior detection. In this paper, we present a pilot…

Machine Learning · Computer Science 2025-02-21 Xu-Lu Zhang , Zhen-Qun Yang , Dong-Mei Jiang , Ga Liao , Qing Li , Ramesh Jain , Xiao-Yong Wei

Flavor-changing signatures of Lorentz and CPT violation involving muon-electron conversions in muonic atoms are studied using effective field theory. Constraints on coefficients for Lorentz violation at parts in $10^{-12}$ GeV$^{-1}$ for…

High Energy Physics - Phenomenology · Physics 2025-01-13 Alan Kostelecky , W. P. McNulty , E. Passemar , N. Sherrill

Jet fires are relatively small and have the least severe effects among the diverse fire accidents that can occur in industrial plants; however, they are usually involved in a process known as the domino effect, that leads to more severe…

Computer Vision and Pattern Recognition · Computer Science 2022-01-21 Carmina Pérez-Guerrero , Adriana Palacios , Gilberto Ochoa-Ruiz , Christian Mata , Joaquim Casal , Miguel Gonzalez-Mendoza , Luis Eduardo Falcón-Morales

The kaon identification is crucial for the flavor physics, and also benefits the flavor and charge reconstruction of the jets. We explore the particle identification capability for tracks with momenta ranging from 2-20 GeV/c using the…

Instrumentation and Detectors · Physics 2018-07-04 F. An , S. Prell , C. Chen , J. Cochran , X. Lou , M. Ruan

Deep Learning (DL) methods have been used for electrocardiogram (ECG) processing in a wide variety of tasks, demonstrating good performance compared with traditional signal processing algorithms. These methods offer an efficient framework…

Signal Processing · Electrical Eng. & Systems 2024-07-31 Adrian Atienza , Jakob Bardram , Sadasivan Puthusserypady

Tracking in high-density environments, such as the core of TeV jets, is particularly challenging both because combinatorics quickly diverge and because tracks may not leave anymore individual "hits" but rather large clusters of merged…

Instrumentation and Detectors · Physics 2020-12-11 Valerio Bertacchi

The electric conductivity, $\sigma_{\rm el}$, is a fundamental transport coefficient of QCD matter that can be related to the zero-energy limit of the electromagnetic (EM) spectral function at vanishing 3-momentum in the medium. The EM…

High Energy Physics - Phenomenology · Physics 2024-06-24 Ralf Rapp

Motivation: Cellular Electron CryoTomography (CECT) enables 3D visualization of cellular organization at near-native state and in sub-molecular resolution, making it a powerful tool for analyzing structures of macromolecular complexes and…

Quantitative Methods · Quantitative Biology 2017-04-14 Min Xu , Xiaoqi Chai , Hariank Muthakana , Xiaodan Liang , Ge Yang , Tzviya Zeev-Ben-Mordehai , Eric Xing

The idea of a hermetic quartz chamber in a dual-phase xenon time projection chamber (TPC) has the potential to improve the detector sensitivity for direct dark matter searches in the future. A major challenge facing TPC detectors in future…

This note gives a conceptual description and illustration of the CLD detector, based on the work for a detector at CLIC. CLD is one of the detectors envisaged at a future 100 km $e^+e^-$ circular collider (FCC-ee). The note also contains a…

The Linear Collider Flavour Identification (LCFI) collaboration studies CCD detectors for quark flavour identification in the framework of a future linear e+e- collider. The flavour identification is based on precision reconstruction of…

Instrumentation and Detectors · Physics 2017-08-23 Andre Sopczak

Coulomb explosion imaging (CEI) is a powerful technique for capturing the real-time motion of individual atoms during ultrafast photochemical reactions. CEI generates high-dimensional data with naturally embedded correlations that allow…

A search for long-lived charged massive particles in CDF's Run1b data sample is presented. The search looks for highly ionizing tracks which would result from slowly moving massive particles. We search for strongly produced particles using…

High Energy Physics - Experiment · Physics 2019-08-14 A. Connolly

In this talk we discuss a novel method, that we have presented in Ref. [1], to extract hadronic spectral densities from lattice correlators by using deep learning techniques. Hadronic spectral densities play a crucial role in the study of…

High Energy Physics - Lattice · Physics 2024-01-12 Michele Buzzicotti , Alessandro De Santis , Nazario Tantalo