The Universe SPHEREx Will See: Empirically Based Galaxy Simulations and Redshift Predictions

Kavli Affiliate: James J. Bock | First 5 Authors: Richard M. Feder, Daniel C. Masters, Bomee Lee, James J. Bock, Yi-Kuan Chiang | Summary: We simulate galaxy properties and redshift estimation for SPHEREx, the next NASA Medium Class Explorer. To make robust models of the galaxy population and test spectro-photometric redshift performance for SPHEREx, we […]


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Digital Discovery of interferometric Gravitational Wave Detectors

Kavli Affiliate: Rana X. Adhikari | First 5 Authors: Mario Krenn, Yehonathan Drori, Rana X Adhikari, , | Summary: Gravitational waves, detected a century after they were first theorized, are spacetime distortions caused by some of the most cataclysmic events in the universe, including black hole mergers and supernovae. The successful detection of these waves […]


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In-situ tuning of optomechanical crystals with nano-oxidation

Kavli Affiliate: Oskar Painter | First 5 Authors: Utku Hatipoglu, Sameer Sonar, David P. Lake, Srujan Meesala, Oskar Painter | Summary: Optomechanical crystals are a promising device platform for quantum transduction and sensing. Precise targeting of the optical and acoustic resonance frequencies of these devices is crucial for future advances on these fronts. However, fabrication […]


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Cryogenic Focus Measurement System for a Wide-Field Infrared Space Telescope

Kavli Affiliate: James Bock | First 5 Authors: Samuel S. Condon, Stephen Padin, James Bock, Howard Hui, Phillip Korngut | Summary: We describe a technique for measuring focus errors in a cryogenic, wide-field, near-infrared space telescope. The measurements are made with a collimator looking through a large vacuum window, with a reflective cold filter to […]


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StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences

Kavli Affiliate: Wei Gao | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: Occlusions between consecutive frames have long posed a significant challenge in optical flow estimation. The inherent ambiguity introduced by occlusions directly violates the brightness constancy constraint and considerably hinders pixel-to-pixel matching. To address this issue, multi-frame optical flow methods leverage […]


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Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding

Kavli Affiliate: Wei Gao | First 5 Authors: , , , , | Summary: Large-scale image-language pretrained models, e.g., CLIP, have demonstrated remarkable proficiency in acquiring general multi-modal knowledge through web-scale image-text data. Despite the impressive performance of image-language models on various image tasks, how to effectively expand them on general video understanding remains an […]


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Mesoscopic ultrafast nonlinear optics — The emergence of multimode quantum non-Gaussian physics

Kavli Affiliate: Alireza Marandi | First 5 Authors: Ryotatsu Yanagimoto, Edwin Ng, Marc Jankowski, Rajveer Nehra, Timothy P. McKenna | Summary: Over the last few decades, nonlinear optics has become significantly more nonlinear, traversing nearly a billionfold improvement in energy efficiency, with ultrafast nonlinear nanophotonics in particular emerging as a frontier for combining both spatial […]


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Third harmonic generation enhancement and wavefront control using a local high-Q metasurface

Kavli Affiliate: Harry A. Atwater | First 5 Authors: Claudio U. Hail, Lior Michaeli, Harry A. Atwater, , | Summary: High quality factor optical nanostructures provide great opportunity to enhance nonlinear optical processes such as third harmonic generation. However, the field enhancement in these high quality factor structures is typically accompanied by optical mode nonlocality. […]


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Dynamic modeling of wing-assisted inclined running with a morphing multi-modal robot

Kavli Affiliate: Morteza Gharib | First 5 Authors: Eric Sihite, Alireza Ramezani, Morteza Gharib, , | Summary: Robot designs can take many inspirations from nature, where there are many examples of highly resilient and fault-tolerant locomotion strategies to navigate complex terrains by using multi-functional appendages. For example, Chukar and Hoatzin birds can repurpose their wings […]


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High-Resolution DOA Estimation via a Novel Tree Model-based Deep Neural Network

Kavli Affiliate: Wei Gao | First 5 Authors: Yifan Li, Feng Shu, Jun Zou, Wei Gao, Yaoliang Song | Summary: To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity. […]


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