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High precision physics at future colliders requires unprecedented highly granular calorimeters for the application of the Particle Flow (PF) algorithm. The physical proof of concept was given in the previous campaign of beam tests of physic…

Instrumentation and Detectors · Physics 2018-07-01 Adrián Irles

High-intensity secondary beams play a vital role in today's particle physics and materials science research and require suitable detection techniques to adjust beam characteristics to optimally match experimental conditions. To this end we…

Instrumentation and Detectors · Physics 2020-01-29 F. Berg , D. N. Grigoriev , Z. Hodge , P. -R. Kettle , E. A. Kozyrev , A. G. Lemzyakov , A. V. Petrozhitsky , A. Popov

Influence of Vertex Detector (VTX) geometry on jet flavour tagging performance was studied in presence of e+e- pair background from beamstrahlung in the International Linear Collider (ILC). Five layer "long-barrel" VTX geometry with varying…

Instrumentation and Detectors · Physics 2009-02-18 Paweł Łużniak

The High-Luminosity LHC will put significant demands on trigger systems. To control trigger thresholds, the CMS Collaboration is designing a novel Level-1 track trigger. The Outer Tracker will use modules with pairs of sensor layers to read…

Instrumentation and Detectors · Physics 2021-11-04 Brent R. Yates

This study introduces the Lower Ricci Curvature (LRC), a novel, scalable, and scale-free discrete curvature designed to enhance community detection in networks. Addressing the computational challenges posed by existing curvature-based…

Methodology · Statistics 2024-01-30 Yun Jin Park , Didong Li

In-correlator techniques offer the possibility of identifying and/or excising radio frequency interference (RFI) from interferometric observations at much higher time and/or frequency resolution than is generally possible with the final…

Instrumentation and Methods for Astrophysics · Physics 2010-12-03 Adam T. Deller

In this paper a description is given of the SFXC software correlator, developed and maintained at the Joint Institute for VLBI in Europe (JIVE). The software is designed to run on generic Linux-based computing clusters. The correlation…

Fine pixel CCD (FPCCD) is an option for the sensor used for the ILC vertex detector to reduce the pixel occupancy due to the high background rate near the interaction point. In this paper, we report on the R&D status of FPCCD sensors and…

Instrumentation and Detectors · Physics 2010-07-16 Yasuhiro Sugimoto , Hirokazu Ikeda , Kennosuke Itagaki , Akiya Miyamoto , Yousuke Takubo , Hitoshi Yamamoto

We report on recent progress in the search for dark matter particles with masses from 1 MeV to 1 GeV. Several dark matter candidates in this mass range are expected to generate measurable electronic-recoil signals in direct-detection…

Cosmology and Nongalactic Astrophysics · Physics 2023-01-02 Alvaro E. Chavarria

Late fusion multi-view clustering (LFMVC) has become a rapidly growing class of methods in the multi-view clustering (MVC) field, owing to its excellent computational speed and clustering performance. One bottleneck faced by existing late…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Qiyuan Ou , Pei Zhang , Sihang Zhou , En Zhu

Identification of hadronic jets originating from heavy-flavor quarks is extremely important to several physics analyses in High Energy Physics, such as studies of the properties of the top quark and the Higgs boson, and searches for new…

High Energy Physics - Experiment · Physics 2024-12-10 Uttiya Sarkar

Visual Language Models (VLMs) are now increasingly being merged with Large Language Models (LLMs) to enable new capabilities, particularly in terms of improved interactivity and open-ended responsiveness. While these are remarkable…

The observation of lepton flavor violation indicates new physics beyond the Standard Model. Lepton colliders are ideal facilities to probe charged lepton flavor violation (CLFV) signals induced by new physics at high energy. In this work we…

High Energy Physics - Phenomenology · Physics 2019-04-03 Tong Li , Michael A. Schmidt

In this paper, we propose a new deep architecture for fusing camera and LiDAR sensors for 3D object detection. Because the camera and LiDAR sensor signals have different characteristics and distributions, fusing these two modalities is…

Computer Vision and Pattern Recognition · Computer Science 2020-12-10 Jin Hyeok Yoo , Yecheol Kim , Jisong Kim , Jun Won Choi

Support Vector Machines have been a popular topic for quite some time now, and as they develop, a need for new methods of feature selection arises. This work presents various approaches SVM feature selection developped using new tools such…

Machine Learning · Computer Science 2019-05-27 Tangui Aladjidi , François Pasqualini

As SCRF particle accelerator technology advances the need for "low particulate" and "particle free" vacuum systems becomes greater and greater. In the course of the operation of these systems, there comes a time when various instruments…

Accelerator Physics · Physics 2017-01-05 K. R. Kendziora , J. Angelo , C. Baffes , D. Franck , R. Kellett

We show the outstanding potential of the High-Luminosity LHC (HL-LHC) to discover charged lepton flavor violation (cLFV) via the ultra-peripheral process $\gamma\gamma \to e^\pm\mu^\mp$. Using a gauge-invariant Effective Field Theory (EFT)…

High Energy Physics - Phenomenology · Physics 2025-11-20 M. A. Arroyo-Ureña , O. Félix-Beltrán , J. Hernández-Sánchez , C. G. Honorato , S. Rosado-Navarro

LHCb is an experiment dedicated to the study of new physics in the decays of beauty and charm hadrons at the Large Hadron Collider (LHC) at CERN. The Vertex Locator (VELO) is the silicon detector surrounding the LHCb interaction point. The…

Instrumentation and Detectors · Physics 2019-08-14 Pablo Rodríguez Pérez

In this paper, we propose a novel and effective Multi-Level Fusion network, named as MLF-DET, for high-performance cross-modal 3D object DETection, which integrates both the feature-level fusion and decision-level fusion to fully utilize…

Computer Vision and Pattern Recognition · Computer Science 2023-07-19 Zewei Lin , Yanqing Shen , Sanping Zhou , Shitao Chen , Nanning Zheng

Recently, deep learning techniques have garnered substantial attention for their ability to identify vulnerable code patterns accurately. However, current state-of-the-art deep learning models, such as Convolutional Neural Networks (CNN),…

Cryptography and Security · Computer Science 2023-02-24 Marwan Omar
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