October 2022 – Page 13 – Kavli Institute Pre-Print Publications

Superconductivity in doped triangular Mott insulators: the roles of parent spin backgrounds and charge kinetic energy

Posted by klaurent October 13, 2022October 24, 2022UCAS

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zheng Zhu, Qianqian Chen, , , | Summary: We study the prerequisites for realizing superconductivity in doped triangular-lattice Mott insulators by considering three distinct parent spin backgrounds, i.e., $120^{circ}$ antiferromagnets, quantum spin liquid, and stripy antiferromagnets, and all possible sign combinations $(tau_1, tau_2)$ of nearest-neighbor hopping and […]

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Freezing In Vector Dark Matter Through Magnetic Dipole Interactions

Posted by klaurent October 12, 2022October 24, 2022Chicago

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Gordan Krnjaic, Duncan Rocha, Anastasia Sokolenko, , | Summary: We study a simple model of vector dark matter that couples to Standard Model particles via magnetic dipole interactions. In this scenario, the cosmological abundance arises through the freeze-in mechanism and depends on the dipole coupling, the vector […]

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Token-Label Alignment for Vision Transformers

Posted by klaurent October 12, 2022October 24, 2022UCAS

Kavli Affiliate: Zheng Zhu | First 5 Authors: Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu | Summary: Data mixing strategies (e.g., CutMix) have shown the ability to greatly improve the performance of convolutional neural networks (CNNs). They mix two images as inputs for training and assign them with a mixed label with […]

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Current-induced switching of thin film $α$-Fe$_2$O$_3$ devices imaged using a scanning single-spin microscope

Posted by klaurent Cornell

Kavli Affiliate: Katja C. Nowack | First 5 Authors: Qiaochu Guo, Anthony D’Addario, Yang Cheng, Jeremy Kline, Isaiah Gray | Summary: Electrical switching of N’eel order in an antiferromagnetic insulator is desirable as a basis for memory applications. Unlike electrically-driven switching of ferromagnetic order via spin-orbit torques, electrical switching of antiferromagnetic order remains poorly understood. […]

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Improved Dark Matter Search Sensitivity Resulting from LUX Low-Energy Nuclear Recoil Calibration

Posted by klaurent October 12, 2022Stanford

Kavli Affiliate: T. A. Shutt | First 5 Authors: LUX Collaboration, D. S. Akerib, S. Alsum, H. M. Araújo, X. Bai | Summary: Dual-phase xenon time projection chamber (TPC) detectors have demonstrated superior search sensitivities to dark matter over a wide range of particle masses. To extend their sensitivity to include low-mass dark matter interactions, […]

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Improved Dark Matter Search Sensitivity Resulting from LUX Low-Energy Nuclear Recoil Calibration

Posted by klaurent October 12, 2022Stanford

Kavli Affiliate: C. M. Ignarra | First 5 Authors: LUX Collaboration, D. S. Akerib, S. Alsum, H. M. Araújo, X. Bai | Summary: Dual-phase xenon time projection chamber (TPC) detectors have demonstrated superior search sensitivities to dark matter over a wide range of particle masses. To extend their sensitivity to include low-mass dark matter interactions, […]

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Testing the mean field theory of scalar field dark matter

Posted by klaurent October 12, 2022October 24, 2022Stanford

Kavli Affiliate: Tom Abel | First 5 Authors: Andrew Eberhardt, Alvaro Zamora, Michael Kopp, Tom Abel, | Summary: Scalar field dark matter offers an interesting alternative to the traditional WIMP dark matter picture. Astrophysical and cosmological simulations are useful to constraining the mass of the dark matter particle in this model. This is particularly true […]

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Large deviations principle for sub-Riemannian random walks

Posted by klaurent October 11, 2022Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Maria Gordina, Tai Melcher, Jing Wang, , | Summary: We prove that a large deviations principle holds with a (good) natural rate function for sub-Riemannian random walks on homogeneous Carnot groups. | Search Query: ArXiv Query: search_query=au:”Jing Wang”&id_list=&start=0&max_results=10 Read More

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A machine learning based approach towards high-dimensional mediation analysis

Posted by klaurent October 11, 2022October 24, 2022Hopkins

Kavli Affiliate: Brian Caffo, Martin Lindquist | Authors: Tanmay Nath, Brian Caffo, Tor Wager and Martin Lindquist | Summary: Abstract Mediation analysis is used to investigate the role of intermediate variables (mediators) that lie in the path between an exposure and an outcome variable. While significant research has focused on developing methods for assessing the […]

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BICEP / Keck XVI: Characterizing Dust Polarization through Correlations with Neutral Hydrogen

Posted by October 11, 2022Stanford

Kavli Affiliate: C. L. Kuo | First 5 Authors: BICEP/Keck Collaboration, :, P. A. R. Ade, Z. Ahmed, M. Amiri | Summary: We characterize Galactic dust filaments by correlating BICEP/Keck and Planck data with polarization templates based on neutral hydrogen (H I) observations. Dust polarization is important for both our understanding of astrophysical processes in […]

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