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Given a continuous-time signal that can be modeled as the superposition of localized, time-shifted events from multiple sources, the goal of Convolutional Dictionary Learning (CDL) is to identify the location of the events--by Convolutional…

Signal Processing · Electrical Eng. & Systems 2020-10-23 Andrew H. Song , Francisco J. Flores , Demba Ba

The Cornell Electron-positron Storage Ring (CESR) has been converted from a High Energy Physics electron-positron collider to operate as a dedicated synchrotron light source for the Cornell High Energy Synchrotron Source (CHESS) and to…

We summarize the status of Deep Underground Neutrino Experiment (DUNE) Offline Software and Computing program. We describe plans for the computing infrastructure needed to acquire, catalog, reconstruct, simulate and analyze the data from…

Accelerator Physics · Physics 2023-12-19 Michael Kirby

Since the initial data taking of the CERN LHC, the CMS experiment has undergone substantial upgrades and improvements. This paper discusses the CMS detector as it is configured for the third data-taking period of the CERN LHC, Run 3, which…

Instrumentation and Detectors · Physics 2024-06-03 CMS Collaboration

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…

The CONUS+ experiment aims to detect coherent elastic neutrino-nucleus scattering (CEvNS) of reactor antineutrinos on germanium nuclei in the fully coherent regime, continuing on this way the CONUS physics program started at the Brokdorf…

After operating as a High Energy Physics electron-positron collider, the Cornell Electron-positron Storage Ring (CESR) has been converted to become a dedicated synchrotron light source for the Cornell High Energy Synchrotron Source (CHESS).…

The Upgrade II of the LHCb detector, foreseen for 2031, will operate at an instantaneous luminosity of 1.5 x 10$^{34}$ cm$^{-2}$s$^{-1}$, accumulating a sample of more than 300 fb$^{-1}$. To cope with the estimated pile-up of 42 and 200…

Instrumentation and Detectors · Physics 2023-05-12 Evangelos Leonidas Gkougkousis

Lossy compression is widely used to reduce storage and I/O costs for large-scale particle datasets in scientific applications such as cosmology, molecular dynamics, and fluid dynamics, where clustering structures (e.g., single-linkage or…

Machine Learning · Computer Science 2026-04-22 Congrong Ren , Sheng Di , Katrin Heitmann , Franck Cappello , Hanqi Guo

BESIII is a particle physics experiment located at the Institute of High-Energy Physics (BEPC-II) e+e- collider at IHEP in Beijing. The Italian collaboration is leading the effort for the development of a cylindrical GEM (CGEM) detector…

Instrumentation and Detectors · Physics 2018-08-07 R. Farinelli

Humans can watch a continuous video stream and effortlessly perform continual acquisition and transfer of new knowledge with minimal supervision yet retaining previously learnt experiences. In contrast, existing continual learning (CL)…

Computer Vision and Pattern Recognition · Computer Science 2023-08-24 Jay Zhangjie Wu , David Junhao Zhang , Wynne Hsu , Mengmi Zhang , Mike Zheng Shou

The physics aims at the proposed future high-energy linear $e^+e^-$ collider CLIC pose challenging demands on the performance of the detector system. In particular, the vertex and tracking detectors have to combine a spatial resolution of a…

Instrumentation and Detectors · Physics 2020-10-22 Katharina Dort

Change detection (CD) is an important yet challenging task in the Earth observation field for monitoring Earth surface dynamics. The advent of deep learning techniques has recently propelled automatic CD into a technological revolution.…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Haonan Guo , Bo Du , Chen Wu , Chengxi Han , Liangpei Zhang

Several different experimental results are indicating the existence of anomalies in the neutrino sector. Models beyond the standard model have been developed to explain these results and involve one or more additional neutrinos that do not…

Instrumentation and Detectors · Physics 2013-04-29 Umut Kose

End-to-end Object Detection with Transformer (DETR)proposes to perform object detection with Transformer and achieve comparable performance with two-stage object detection like Faster-RCNN. However, DETR needs huge computational resources…

Computer Vision and Pattern Recognition · Computer Science 2021-10-19 Minghang Zheng , Peng Gao , Renrui Zhang , Kunchang Li , Xiaogang Wang , Hongsheng Li , Hao Dong

Coherent elastic neutrino-nucleus scattering (CEvNS) provides a unique probe for neutrino properties Beyond the Standard Model (BSM) physics. REactor neutrino LIquid xenon Coherent Scattering experiment (RELICS), a proposed reactor neutrino…

Coherent Elastic Neutrino-Nucleus Scattering (CE$\nu$NS) is a Standard Model process that, although predicted for decades, has only been detected recently by the COHERENT collaboration. Now that CE$\nu$NS has been discovered, it provides a…

High Energy Physics - Phenomenology · Physics 2018-11-14 Julien Billard , Joseph Johnston , Bradley J. Kavanagh

The Circular Electron Positron Collider (CEPC) has been proposed to enable more thorough and precise measurements of the properties of Higgs, W, and Z bosons, as well as to search for new physics. In response to the stringent performance…

Coherent elastic neutrino-nucleus scattering (CE$\nu$NS) and other rare-event physics searches, like dark matter detection, have been especially furthered by increasing sensitivity to low-energy particle interactions. Experiments using…

Instrumentation and Detectors · Physics 2023-10-09 Charles Mark Lewis

We present a new 3D point-based detector model, named Shift-SSD, for precise 3D object detection in autonomous driving. Traditional point-based 3D object detectors often employ architectures that rely on a progressive downsampling of…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Zhili Chen , Kien T. Pham , Maosheng Ye , Zhiqiang Shen , Qifeng Chen
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