Ultraheavy Ultrahigh-Energy Cosmic Rays

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: B. Theodore Zhang, Kohta Murase, Nick Ekanger, Mukul Bhattacharya, Shunsaku Horiuchi | Summary: We investigate the propagation of ultraheavy (UH) nuclei as ultrahigh-energy cosmic rays (UHECRs). We show that their energy loss lengths at $lesssim300$~EeV are significantly longer than those of protons and intermediate-mass nuclei, and that […]


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Ultraheavy Ultrahigh-Energy Cosmic Rays

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: B. Theodore Zhang, Kohta Murase, Nick Ekanger, Mukul Bhattacharya, Shunsaku Horiuchi | Summary: We investigate the propagation of ultraheavy (UH) nuclei as ultrahigh-energy cosmic rays (UHECRs). We show that their energy loss lengths at $lesssim300$~EeV are significantly longer than those of protons and intermediate nuclei, and that […]


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Large-scale time-multiplexed nanophotonic parametric oscillators

Kavli Affiliate: Alireza Marandi | First 5 Authors: Robert M. Gray, Ryoto Sekine, Luis Ledezma, Gordon H. Y. Li, Selina Zhou | Summary: Arrays of nonlinear resonators offer a fertile ground for a wide range of complex phenomena and opportunities for advanced photonic sensing and computing. Recently, significant attention has focused on studying coupled resonators […]


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On The Implicit Large Eddy Simulation of Turbomachinery Flows Using The Flux Reconstruction Method

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, , , , | Summary: A high-order flux reconstruction solver has been developed and validated to perform implicit large-eddy simulations of industrially representative turbomachinery flows. The T106c low-pressure turbine and VKI LS89 high-pressure turbine cases are studied. The solver uses the Rusanov Riemann solver to […]


Continue.. On The Implicit Large Eddy Simulation of Turbomachinery Flows Using The Flux Reconstruction Method

On The Implicit Large Eddy Simulation of Turbomachinery Flows Using The Flux Reconstruction Method

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, , , , | Summary: A high order flux reconstruction solver has been developed and validated to perform implicit large eddy simulations of industrially representative turbomachinery flows. The T106c low-pressure turbine and VKI LS89 high-pressure turbine cases are studied. The solver uses the Rusanov Riemann […]


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Quantum Parity Detectors: a qubit based particle detection scheme with meV thresholds for rare-event searches

Kavli Affiliate: Sunil R. Golwala | First 5 Authors: Karthik Ramanathan, John E. Parker, Lalit M. Joshi, Andrew D. Beyer, Pierre M. Echternach | Summary: The next generation of rare-event searches, such as those aimed at determining the nature of particle dark matter or in measuring fundamental neutrino properties, will benefit from particle detectors with […]


Continue.. Quantum Parity Detectors: a qubit based particle detection scheme with meV thresholds for rare-event searches

Quantum Parity Detectors: a qubit based particle detection scheme with meV thresholds for rare-event searches

Kavli Affiliate: Sunil R. Golwala | First 5 Authors: Karthik Ramanathan, John E. Parker, Lalit M. Joshi, Andrew D. Beyer, Pierre M. Echternach | Summary: The next generation of rare-event searches, such as those aimed at determining the nature of particle dark matter or in measuring fundamental neutrino properties, will benefit from particle detectors with […]


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The SkatingVerse Workshop & Challenge: Methods and Results

Kavli Affiliate: Zheng Zhu | First 5 Authors: Jian Zhao, Lei Jin, Jianshu Li, Zheng Zhu, Yinglei Teng | Summary: The SkatingVerse Workshop & Challenge aims to encourage research in developing novel and accurate methods for human action understanding. The SkatingVerse dataset used for the SkatingVerse Challenge has been publicly released. There are two subsets […]


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Inaccurate Label Distribution Learning with Dependency Noise

Kavli Affiliate: Jing Wang | First 5 Authors: Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng, | Summary: In this paper, we introduce the Dependent Noise-based Inaccurate Label Distribution Learning (DN-ILDL) framework to tackle the challenges posed by noise in label distribution learning, which arise from dependencies on instances and labels. We start by modeling […]


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Multi-Modal UAV Detection, Classification and Tracking Algorithm — Technical Report for CVPR 2024 UG2 Challenge

Kavli Affiliate: Yi Zhou | First 5 Authors: Tianchen Deng, Yi Zhou, Wenhua Wu, Mingrui Li, Jingwei Huang | Summary: This technical report presents the 1st winning model for UG2+, a task in CVPR 2024 UAV Tracking and Pose-Estimation Challenge. This challenge faces difficulties in drone detection, UAV-type classification and 2D/3D trajectory estimation in extreme […]


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