TOI-1696: a nearby M4 dwarf with a $3R_oplus$ planet in the Neptunian desert

Kavli Affiliate: George R. Ricker, Sara Seager | First 5 Authors: Mayuko Mori, John H. Livingston, Jerome de Leon, Norio Narita, Teruyuki Hirano | Summary: We present the discovery and validation of a temperate sub-Neptune around the nearby mid-M dwarf TIC 470381900 (TOI-1696), with a radius of $3.09 pm 0.11 ,R_oplus$ and an orbital period […]


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Extending the Fisher Information Matrix in Gravitational-wave Data Analysis

Kavli Affiliate: Lijing Shao | First 5 Authors: Ziming Wang, Chang Liu, Junjie Zhao, Lijing Shao, | Summary: The Fisher information matrix (FM) plays an important role in forecasts and inferences in many areas of physics. While giving fast parameter estimation with the Gaussian likelihood approximation in the parameter space, the FM can only give […]


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

Kavli Affiliate: Paul Brink | 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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A Search for Low-mass Dark Matter via Bremsstrahlung Radiation and the Migdal Effect in SuperCDMS

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

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

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

Kavli Affiliate: Robert Rosner | First 5 Authors: Stuart Bale, Amitava Bhattacharjee, Fausto Cattaneo, Jemes Drake, Hantao Ji | 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, […]


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

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

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

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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