A Search for Low-mass Dark Matter via Bremsstrahlung Radiation and the Migdal Effect in SuperCDMS

Posted by klaurent Stanford

Kavli Affiliate: Blas Cabrera | Summary:In this paper, we present a re-analysis of SuperCDMS data using a profile likelihood approach to search for sub-GeV dark matter particles (DM) through two inelastic scattering channels: bremsstrahlung radiation and the Migdal effect. By considering possible inelastic scattering channels, experimental sensitivity can be extended to DM masses that would […]


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A Search for Low-mass Dark Matter via Bremsstrahlung Radiation and the Migdal Effect in SuperCDMS

Posted by klaurent Stanford

Kavli Affiliate: Noah Kurinsky | First 5 Authors: SuperCDMS Collaboration, Musaab Al-Bakry, Imran Alkhatib, Dorian Praia do Amaral, Taylor Aralis | Summary: In this paper, we present a re-analysis of SuperCDMS data using a profile likelihood approach to search for sub-GeV dark matter particles (DM) through two inelastic scattering channels: bremsstrahlung radiation and the Migdal […]


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Character of the “normal state” of the nickelate superconductors

Posted by klaurent Cornell

Kavli Affiliate: Lena F. Kourkoutis | First 5 Authors: Kyuho Lee, Bai Yang Wang, Motoki Osada, Berit H. Goodge, Tiffany C. Wang | Summary: The occurrence of superconductivity in proximity to various strongly correlated phases of matter has drawn extensive focus on their normal state properties, to develop an understanding of the state from which […]


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Sub-harmonic Entrainment of Cortical Gamma Oscillations to Deep Brain Stimulation in Parkinson’s Disease: Predictions and Validation of a Patient-Specific Non-Linear Model

Posted by klaurent UCSF

Kavli Affiliate: Philip Starr | Authors: James J. Sermon, Maria Olaru, Juan Anso, Simon Little, Rafal Bogacz, Philip A. Starr, Timothy Denison and Benoit Duchet | Summary: Background Entrainment of brain oscillations has been hypothesised as a potential mechanism of neuromodulation. While neuromodulation has been shown to be an effective therapy for a variety of […]


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Research Opportunities in Plasma Astrophysics

Posted by klaurent Chicago

Kavli Affiliate: Robert Rosner | Summary:Major scientific questions and research opportunities are described on 10 unprioritized plasma astrophysics topics: (1) magnetic reconnection, (2) collisionless shocks and particle acceleration, (3) waves and turbulence, (4) magnetic dynamos, (5) interface and shear instabilities, (6) angular momentum transport, (7) dusty plasmas, (8) radiative hydrodynamics, (9) relativistic, pair-dominated and strongly […]


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A Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics

Posted by klaurent Stanford

Kavli Affiliate: T. A. Shutt | Summary:The nature of dark matter and properties of neutrinos are among the most pressing issues in contemporary particle physics. The dual-phase xenon time-projection chamber is the leading technology to cover the available parameter space for Weakly Interacting Massive Particles (WIMPs), while featuring extensive sensitivity to many alternative dark matter […]


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A Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics

Posted by klaurent Stanford

Kavli Affiliate: T. A. Shutt | First 5 Authors: J. Aalbers, K. Abe, V. Aerne, F. Agostini, S. Ahmed Maouloud | Summary: The nature of dark matter and properties of neutrinos are among the most pressing issues in contemporary particle physics. The dual-phase xenon time-projection chamber is the leading technology to cover the available parameter […]


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ViT-P: Rethinking Data-efficient Vision Transformers from Locality

Posted by klaurent Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Bin Chen, Ran Wang, Di Ming, Xin Feng, | Summary: Recent advances of Transformers have brought new trust to computer vision tasks. However, on small dataset, Transformers is hard to train and has lower performance than convolutional neural networks. We make vision transformers as data-efficient as convolutional […]


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Attention Concatenation Volume for Accurate and Efficient Stereo Matching

Posted by klaurent UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Gangwei Xu, Junda Cheng, Peng Guo, Xin Yang, | Summary: Stereo matching is a fundamental building block for many vision and robotics applications. An informative and concise cost volume representation is vital for stereo matching of high accuracy and efficiency. In this paper, we present a novel […]


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ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching

Posted by klaurent UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Gangwei Xu, Junda Cheng, Peng Guo, Xin Yang, | Summary: Stereo matching is a fundamental building block for many vision and robotics applications. An informative and concise cost volume representation is vital for stereo matching of high accuracy and efficiency. In this paper, we present a novel […]


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