The Quadruple Image Configurations of Asymptotically Circular Gravitational Lenses

Kavli Affiliate: Paul Schechter | Summary:The quadruple image configurations of gravitational lenses with vanishing ellipticity are examined. Even though such lenses asymptotically approach circularity, the configurations are stable if the position of the source relative to the vanishing diamond caustic is held constant. The configurations are the solutions of a quartic equation, an "Asymptotically Circular […]


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The Quadruple Image Configurations of Asymptotically Circular Gravitational Lenses

Kavli Affiliate: Paul L. Schechter | First 5 Authors: Chirag Falor, Paul L. Schechter, , , | Summary: The quadruple image configurations of gravitational lenses with vanishing ellipticity are examined. Even though such lenses asymptotically approach circularity, the configurations are stable if the position of the source relative to the vanishing diamond caustic is held […]


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The Tianlai dish array low-z surveys forecasts

Kavli Affiliate: Albert Stebbins | First 5 Authors: Olivier Perdereau, Réza Ansari, Albert Stebbins, Peter T. Timbie, Xuelei Chen | Summary: We present the science case for surveys with the Tianlai dish array interferometer tuned to the $left[ 1300, 1400 right] mathrm{MHz}$ frequency range. Starting from a realistic generation of mock visibility data according to […]


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Ensemble Clustering via Co-association Matrix Self-enhancement

Kavli Affiliate: Ran Wang | First 5 Authors: Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang, | Summary: Ensemble clustering integrates a set of base clustering results to generate a stronger one. Existing methods usually rely on a co-association (CA) matrix that measures how many times two samples are grouped into the same cluster according […]


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The Temporal and Spatial Behaviors of CME Occurrence Rate at Different Latitudes

Kavli Affiliate: Feng Wang | First 5 Authors: Jiaqi Lin, Feng Wang, Linhua Deng, Hui Deng, Ying Mei | Summary: The statistical study of the Coronal Mass Ejections (CMEs) is a hot topic in solar physics. To further reveal the temporal and spatial behaviors of the CMEs at different latitudes and heights, we analyzed the […]


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Improved Sensitivity for Space Domain Awareness Observations with the Murchison Widefield Array

Kavli Affiliate: Xiang Zhang | First 5 Authors: Steve Prabu, Paul J Hancock, Xiang Zhang, Steven J Tingay, Torrance Hodgson | Summary: Our previously reported survey of the Low Earth Orbit (LEO) environment using the Murchison Widefield Array (MWA) detected over 70 unique Resident Space Objects (RSOs) over multiple passes, from 20 hours of observations […]


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Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control

Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener, | Summary: This paper considers over-the-air federated learning (OTA-FL). OTA-FL exploits the superposition property of the wireless medium, and performs model aggregation over the air for free. Thus, it can greatly reduce the communication cost incurred in communicating model […]


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Ultra-High-Energy Cosmic Rays: The Intersection of the Cosmic and Energy Frontiers

Kavli Affiliate: David Shoemaker | Summary:The present white paper is submitted as part of the "Snowmass" process to help inform the long-term plans of the United States Department of Energy and the National Science Foundation for high-energy physics. It summarizes the science questions driving the Ultra-High-Energy Cosmic-Ray (UHECR) community and provides recommendations on the strategy […]


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Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II

Kavli Affiliate: John Richardson | Summary:Traditionally, learning from human demonstrations via direct behavior cloning can lead to high-performance policies given that the algorithm has access to large amounts of high-quality data covering the most likely scenarios to be encountered when the agent is operating. However, in real-world scenarios, expert data is limited and it is […]


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BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology

Kavli Affiliate: Ann Shyn Chiang, Kristofer Bouchard | Authors: Linus Manubens-Gil, Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu, Alessandro Bria, Todd Gillette, Zongcai Ruan, Jian Yang, Miroslav Radojević, Ting Zhao, Li Cheng, Lei Qu, Siqi Liu, Kristofer E. Bouchard, Lin Gu, Weidong Cai, Shuiwang Ji, Badrinath Roysam, Ching-Wei Wang, Hongchuan Yu, Amos […]


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