Analysis of the full Spitzer microlensing sample I: Dark remnant candidates and Gaia predictions

Kavli Affiliate: Michael M. Fausnaugh | First 5 Authors: Krzysztof A. Rybicki, Yossi Shvartzvald, Jennifer C. Yee, Sebastiano Calchi Novati, Eran O. Ofek | Summary: In the pursuit of understanding the population of stellar remnants within the Milky Way, we analyze the sample of $sim 950$ microlensing events observed by the Spitzer Space Telescope between […]


Continue.. Analysis of the full Spitzer microlensing sample I: Dark remnant candidates and Gaia predictions

All-optical Loss-tolerant Distributed Quantum Sensing

Kavli Affiliate: Alireza Marandi | First 5 Authors: Rajveer Nehra, Changhun Oh, Liang Jiang, Alireza Marandi, | Summary: Distributed quantum sensing (DQS) leverages quantum resources to estimate an unknown global property of a networked quantum sensor beyond the classical limit. We propose and analyze an all-optical resource-efficient scheme for the next-generation DQS systems. Our method […]


Continue.. All-optical Loss-tolerant Distributed Quantum Sensing

Research on Tibetan Tourism Viewpoints information generation system based on LLM

Kavli Affiliate: Ke Wang | First 5 Authors: Jinhu Qi, Shuai Yan, Wentao Zhang, Yibo Zhang, Zirui Liu | Summary: Tibet, ensconced within China’s territorial expanse, is distinguished by its labyrinthine and heterogeneous topography, a testament to its profound historical heritage, and the cradle of a unique religious ethos. The very essence of these attributes, […]


Continue.. Research on Tibetan Tourism Viewpoints information generation system based on LLM

0.7 MW Yb:YAG pumped degenerate optical parametric oscillator at 2.06 μm

Kavli Affiliate: Alireza Marandi | First 5 Authors: Anni Li, Mehran Bahri, Robert M. Gray, Seowon Choi, Sajjad Hoseinkhani | Summary: Frequency comb and field-resolved broadband absorption spectroscopy are promising techniques for rapid, precise, and sensitive detection of short-lived atmospheric pollutants on-site. Enhancing detection sensitivity in absorption spectroscopy hinges on bright sources that cover molecular […]


Continue.. 0.7 MW Yb:YAG pumped degenerate optical parametric oscillator at 2.06 μm

Approach for composition measurement of cosmic rays using the muon-to-electron ratio observed by LHAASO-KM2A

Kavli Affiliate: Zhuo Li | First 5 Authors: Xishui Tian, Zhuo Li, Quanbu Gou, Hengying Zhang, Huihai He | Summary: Composition measurement of cosmic rays (CRs) around the knee of the CR energy spectrum is crucial for studying the processes of particle acceleration and propagation of Galactic CRs. The Square Kilometer Array (KM2A) of Large […]


Continue.. Approach for composition measurement of cosmic rays using the muon-to-electron ratio observed by LHAASO-KM2A

Multiobjective Vehicle Routing Optimization with Time Windows: A Hybrid Approach Using Deep Reinforcement Learning and NSGA-II

Kavli Affiliate: Ran Wang | First 5 Authors: Rixin Wu, Ran Wang, Jie Hao, Qiang Wu, Ping Wang | Summary: This paper proposes a weight-aware deep reinforcement learning (WADRL) approach designed to address the multiobjective vehicle routing problem with time windows (MOVRPTW), aiming to use a single deep reinforcement learning (DRL) model to solve the […]


Continue.. Multiobjective Vehicle Routing Optimization with Time Windows: A Hybrid Approach Using Deep Reinforcement Learning and NSGA-II

Forecasting Supernova Observations with the CSST: I. Photometric Samples

Kavli Affiliate: Hu Zhan | First 5 Authors: Chengqi Liu, Youhua Xu, Xianmin Meng, Xin Zhang, Shi-Yu Li | Summary: The China Space Station Telescope (CSST, also known as Xuntian) is a serviceable two-meter-aperture wide-field telescope operating in the same orbit as the China Space Station. The CSST plans to survey a sky area of […]


Continue.. Forecasting Supernova Observations with the CSST: I. Photometric Samples

Matching-Driven Deep Reinforcement Learning for Energy-Efficient Transmission Parameter Allocation in Multi-Gateway LoRa Networks

Kavli Affiliate: Bo Gu | First 5 Authors: Ziqi Lin, Xu Zhang, Shimin Gong, Lanhua Li, Zhou Su | Summary: Long-range (LoRa) communication technology, distinguished by its low power consumption and long communication range, is widely used in the Internet of Things. Nevertheless, the LoRa MAC layer adopts pure ALOHA for medium access control, which […]


Continue.. Matching-Driven Deep Reinforcement Learning for Energy-Efficient Transmission Parameter Allocation in Multi-Gateway LoRa Networks

Applying Conditional Generative Adversarial Networks for Imaging Diagnosis

Kavli Affiliate: Ting Xu | First 5 Authors: Haowei Yang, Yuxiang Hu, Shuyao He, Ting Xu, Jiajie Yuan | Summary: This study introduces an innovative application of Conditional Generative Adversarial Networks (C-GAN) integrated with Stacked Hourglass Networks (SHGN) aimed at enhancing image segmentation, particularly in the challenging environment of medical imaging. We address the problem […]


Continue.. Applying Conditional Generative Adversarial Networks for Imaging Diagnosis

Complementary Organization of Driver and Modulator Cortico-Thalamo-Cortical Circuits

Kavli Affiliate: Edward Callaway | Authors: Rachel M. Cassidy, Angel V. Macias, Willian N. Lagos, Chiamaka Ugorji and Edward M. Callaway | Summary: Corticocortical (CC) projections in the visual system facilitate the hierarchical processing of sensory information. In addition to direct CC connections, indirect cortico-thalamo-cortical (CTC) pathways through the pulvinar nucleus of the thalamus can […]


Continue.. Complementary Organization of Driver and Modulator Cortico-Thalamo-Cortical Circuits