Do Mini-halos Affect Cosmic Reionization?

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: Nickolay Y. Gnedin, , , , | Summary: The role of unresolved structures ("mini-halos") in determining the consumption of ionizing photons during cosmic reionization remains an unsolved problem in modeling cosmic reionization, despite recent extensive studies with small-box high-resolution simulations by Park et al. and Chan […]


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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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Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data

Kavli Affiliate: Angela Olinto | First 5 Authors: Mikhail Zotov, Dmitry Anzhiganov, Aleksandr Kryazhenkov, Dario Barghini, Matteo Battisti | Summary: Mini-EUSO is a wide-angle fluorescence telescope that registers ultraviolet (UV) radiation in the nocturnal atmosphere of Earth from the International Space Station. Meteors are among multiple phenomena that manifest themselves not only in the visible […]


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New $μ$ Forces From $ν_μ$ Sources

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Cari Cesarotti, Yonatan Kahn, Gordan Krnjaic, Duncan Rocha, Joshua Spitz | Summary: Accelerator-based experiments reliant on charged pion and kaon decays to produce muon-neutrino beams also deliver an associated powerful flux of muons. Therefore, these experiments can additionally be sensitive to light new particles that preferentially couple […]


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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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A Novel Tree Model-based DNN to Achieve a High-Resolution DOA Estimation via Massive MIMO receive array

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: 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. To address this problem, a […]


Continue.. A Novel Tree Model-based DNN to Achieve a High-Resolution DOA Estimation via Massive MIMO receive array

Full-dry Flipping Transfer Method for van der Waals Heterostructure

Kavli Affiliate: Joseph Falson | First 5 Authors: Dohun Kim, Soyun Kim, Yanni Cho, Jaesung Lee, Kenji Watanabe | Summary: We present a novel flipping transfer method for van der Waals heterostructures, offering a significant advancement over previous techniques by eliminating the need for polymers and solvents. Instead, we utilize commercially available gel film and […]


Continue.. Full-dry Flipping Transfer Method for van der Waals Heterostructure

Full-dry flipping transfer method for van der Waals heterostructure

Kavli Affiliate: Joseph Falson | First 5 Authors: Dohun Kim, Soyun Kim, Yanni Cho, Jaesung Lee, Kenji Watanabe | Summary: We present a novel flipping transfer method for van der Waals heterostructures, offering a significant advancement over previous techniques by eliminating the need for polymers and solvents. Here, we utilize commercially available gel film and […]


Continue.. Full-dry flipping transfer method for van der Waals heterostructure