JWST CEERS & JADES Active Galaxies at z = 4-7 Violate the Local $M_bullet-M_star$ Relation at $>3σ$: Implications for Low-Mass Black Holes and Seeding Models
Kavli Affiliate: Roberto Maiolino | First 5 Authors: Fabio Pacucci, Bao Nguyen, Stefano Carniani, Roberto Maiolino, Xiaohui Fan | Summary: JWST is revolutionizing our understanding of the high-z Universe by expanding the black hole horizon, looking farther and to smaller masses, and revealing the stellar light of their hosts. New detections of high-z systems offer […]
Continue.. JWST CEERS & JADES Active Galaxies at z = 4-7 Violate the Local $M_bullet-M_star$ Relation at $>3σ$: Implications for Low-Mass Black Holes and Seeding Models
TOI-332 b: a super dense Neptune found deep within the Neptunian desert
Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Ares Osborn, David J. Armstrong, Jorge Fernández Fernández, Henrik Knierim, Vardan Adibekyan | Summary: To date, thousands of planets have been discovered, but there are regions of the orbital parameter space that are still bare. An example is the short period and intermediate mass/radius space known as […]
Continue.. TOI-332 b: a super dense Neptune found deep within the Neptunian desert
TOI-332 b: a super dense Neptune found deep within the Neptunian desert
Kavli Affiliate: Sara Seager | First 5 Authors: Ares Osborn, David J. Armstrong, Jorge Fernández Fernández, Henrik Knierim, Vardan Adibekyan | Summary: To date, thousands of planets have been discovered, but there are regions of the orbital parameter space that are still bare. An example is the short period and intermediate mass/radius space known as […]
Continue.. TOI-332 b: a super dense Neptune found deep within the Neptunian desert
Reconstruction procedure of the Fluorescence detector Array of Single-pixel Telescopes (FAST)
Kavli Affiliate: Paolo Privitera | First 5 Authors: Fraser Bradfield, Justin Albury, Jose Bellido, Ladislav Chytka, John Farmer | Summary: The Fluorescence detector Array of Single-pixel Telescopes (FAST) is one of several proposed designs for a next-generation cosmic-ray detector. Such detectors will require enormous collecting areas whilst also needing to remain cost-efficient. To meet these […]
Continue.. Reconstruction procedure of the Fluorescence detector Array of Single-pixel Telescopes (FAST)
Detecting ultra-high-energy cosmic rays with prototypes of the Fluorescence detector Array of Single-pixel Telescopes (FAST) in both hemispheres
Kavli Affiliate: Paolo Privitera | First 5 Authors: Shunsuke Sakurai, Justin Albury, Jose Bellido, Fraser Bradfield, Ladislav Chytka | Summary: Ultra-high energy cosmic rays (UHECRs), whose energy are beyond $10^{18}~mathrm{eV}$, are the most energetic particles we have ever detected. The latest results seem to indicate a heavier composition at the highest energies, complicating the search […]
Continue.. Detecting ultra-high-energy cosmic rays with prototypes of the Fluorescence detector Array of Single-pixel Telescopes (FAST) in both hemispheres
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
Kavli Affiliate: Feng Wang | First 5 Authors: Liang Liu, Wenbin Zhai, Feng Wang, Youwei Ding, Wanying Lu | Summary: Existing FL-based approaches are based on the unrealistic assumption that the data on the client-side is fully annotated with ground truths. Furthermore, it is a great challenge how to improve the training efficiency while ensuring […]
Continue.. Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
Kavli Affiliate: Feng Wang | First 5 Authors: Wenbin Zhai, Feng Wang, Liang Liu, Youwei Ding, Wanying Lu | Summary: Existing FL-based approaches are based on the unrealistic assumption that the data on the client-side is fully annotated with ground truths. Furthermore, it is a great challenge how to improve the training efficiency while ensuring […]
Continue.. Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
ESTA: An Efficient Spatial-Temporal Range Aggregation Query Processing Algorithm for UAV Networks
Kavli Affiliate: Ran Wang | First 5 Authors: Liang Liu, Wenbin Zhai, Xin Li, Youwei Ding, Wanying Lu | Summary: Unmanned Aerial Vehicle (UAV) networks are increasingly deployed in military and civilian applications, serving as critical platforms for data collection. Users frequently require aggregated statistical information derived from historical sensory data within specific spatial and […]
Continue.. ESTA: An Efficient Spatial-Temporal Range Aggregation Query Processing Algorithm for UAV Networks
OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes
Kavli Affiliate: Ke Wang | First 5 Authors: Tao Xie, Kun Dai, Siyi Lu, Ke Wang, Zhiqiang Jiang | Summary: In this work, we seek to predict camera poses across scenes with a multi-task learning manner, where we view the localization of each scene as a new task. We propose OFVL-MS, a unified framework that […]
Continue.. OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes