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

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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Large deviations principle for sub-Riemannian random walks

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

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

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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Quantum metrology of low frequency electromagnetic modes with frequency upconverters

Kavli Affiliate: Kent Irwin | Summary:We present the RF Quantum Upconverter (RQU) and describe its application to quantum metrology of electromagnetic modes between dc and the Very High Frequency band (VHF) ($lesssim$300MHz). The RQU uses a Josephson interferometer made up of superconducting loops and Josephson junctions to implement a parametric interaction between a low-frequency electromagnetic […]


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Quantum metrology of low frequency electromagnetic modes with frequency upconverters

Kavli Affiliate: Dale Li | First 5 Authors: Stephen E. Kuenstner, Elizabeth C. van Assendelft, Saptarshi Chaudhuri, Hsiao-Mei Cho, Jason Corbin | Summary: We present the RF Quantum Upconverter (RQU) and describe its application to quantum metrology of electromagnetic modes between dc and the Very High Frequency band (VHF) ($lesssim$300MHz). The RQU uses a Josephson […]


Continue.. Quantum metrology of low frequency electromagnetic modes with frequency upconverters

Quantum metrology of low frequency electromagnetic modes with frequency upconverters

Kavli Affiliate: Dale Li | First 5 Authors: Stephen E. Kuenstner, Elizabeth C. van Assendelft, Saptarshi Chaudhuri, Hsiao-Mei Cho, Jason Corbin | Summary: We present the RF Quantum Upconverter (RQU) and describe its application to quantum metrology of electromagnetic modes between dc and the Very High Frequency band (VHF) ($lesssim$300MHz). The RQU uses a Josephson […]


Continue.. Quantum metrology of low frequency electromagnetic modes with frequency upconverters

Quantum metrology of low frequency electromagnetic modes with frequency upconverters

Kavli Affiliate: Kent D. Irwin | First 5 Authors: Stephen E. Kuenstner, Elizabeth C. van Assendelft, Saptarshi Chaudhuri, Hsiao-Mei Cho, Jason Corbin | Summary: We describe the RF Quantum Upconverter (RQU) and describe its application to quantum metrology of electromagnetic modes between dc and the Very High Frequency band (VHF) ($lesssim$300MHz). The RQU uses a […]


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OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu | Summary: The pretrain-finetune paradigm in modern computer vision facilitates the success of self-supervised learning, which tends to achieve better transferability than supervised learning. However, with the availability of massive labeled data, a natural question emerges: how […]


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Forecast of Cosmological Constraints with Type Ia Supernovae from the Chinese Space Station Telescope

Kavli Affiliate: Hu Zhan | First 5 Authors: Shi-Yu Li, Yun-Long Li, Tianmeng Zhang, Jozsef Vinko, Eniko Regos | Summary: The 2-m aperture Chinese Space Station Telescope (CSST), which observes at wavelengths ranging from 255 to 1000 nm, is expected to start science operations in 2024. An ultra-deep field observation program covering approximately 10 square […]


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