2022 – Page 206 – Kavli Institute Pre-Print Publications

Telecom-band quantum interference of frequency-converted photons from remote detuned NV centers

Posted by klaurent January 31, 2022Delft

Kavli Affiliate: Ronald Hanson | First 5 Authors: Arian Stolk, Kian L. van der Enden, Marie-Christine Roehsner, Annick Teepe, Stein O. J. Faes | Summary: Entanglement distribution over quantum networks has the promise of realizing fundamentally new technologies. Entanglement between separated quantum processing nodes has been achieved on several experimental platforms in the past decade. […]

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Precisely computing bound orbits of spinning bodies around black holes I: General framework and results for nearly equatorial orbits

Posted by klaurent January 31, 2022MIT

Kavli Affiliate: Scott A. Hughes | First 5 Authors: Lisa V. Drummond, Scott A. Hughes, , , | Summary: Very large mass ratio binary black hole systems are of interest both as a clean limit of the two-body problem in general relativity, as well as for their importance as sources of low-frequency gravitational waves. At […]

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Snowmass White Paper: Moonshine

Posted by klaurent January 31, 2022Chicago

Kavli Affiliate: Jeffrey A. Harvey | First 5 Authors: Sarah M. Harrison, Jeffrey A. Harvey, Natalie M. Paquette, , | Summary: We present a brief overview of Moonshine with an emphasis on connections to physics. Moonshine collectively refers to a set of phenomena connecting group theory, analytic number theory, and vertex operator algebras or conformal […]

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Prospects for the detection of the Diffuse Supernova Neutrino Background with the experiments SK-Gd and JUNO

Posted by dbos January 30, 2022Tokyo

Kavli Affiliate: Mark Vagins | First 5 Authors: Yu-Feng Li, Mark Vagins, Michael Wurm, , | Summary: The advent of gadolinium-loaded Super-Kamiokande (SK-Gd) and of the soon-to-start JUNO liquid scintillator detector marks a substantial improvement in the global sensitivity for the Diffuse Supernova Neutrino Background (DSNB). The present article reviews the detector properties most relevant […]

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Prospects for the detection of the Diffuse Supernova Neutrino Background with the experiments SK-Gd and JUNO

Posted by January 30, 2022Tokyo

Kavli Affiliate: Mark Vagins | First 5 Authors: Yufeng Li, Mark Vagins, Michael Wurm, , | Summary: The advent of gadolinium-loaded Super-Kamiokande (SK-Gd) and of the soon-to-start JUNO liquid scintillator detector marks a substantial improvement in the global sensitivity for the Diffuse Supernova Neutrino Background (DSNB). The present article reviews the detector properties most relevant […]

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Fast rule switching and slow rule updating in a perceptual categorization task

Posted by klaurent January 30, 2022August 15, 2022UCSD / Salk

Kavli Affiliate: Marcelo Mattar | Authors: Flora Bouchacourt, Sina Tafazoli, Marcelo Gomes Mattar, Timothy J Buschman and Nathaniel Douglass Daw | Summary: Abstract To adapt to a changing world, we must be able to switch between rules already learned and, at other times, learn rules anew. Often we must do both at the same time, […]

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NEID Rossiter-McLaughlin Measurement of TOI-1268b: A Young Warm Saturn Aligned with Its Cool Host Star

Posted by klaurent January 30, 2022MIT

Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Jiayin Dong, Chelsea X. Huang, George Zhou, Rebekah I. Dawson, Gudmundur K. Stefánsson | Summary: Close-in gas giants present a surprising range of stellar obliquity, the angle between a planet’s orbital axis and its host star’s spin axis. It is unclear whether the obliquities reflect the planets’ […]

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TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images

Posted by klaurent January 30, 2022Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jiangyun Li, Wenxuan Wang, Chen Chen, Tianxiang Zhang, Sen Zha | Summary: Transformer, benefiting from global (long-range) information modeling using self-attention mechanism, has been successful in natural language processing and computer vision recently. Convolutional Neural Networks, capable of capturing local features, are difficult to model explicit long-distance […]

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E/B mode decomposition of HSC-Y1 cosmic shear using COSEBIs: cosmological constraints and comparison with other two-point statistics

Posted by klaurent January 30, 2022Tokyo

Kavli Affiliate: Chiaki Hikage | First 5 Authors: Takashi Hamana, Chiaki Hikage, Masamune Oguri, Masato Shirasaki, Surhud More | Summary: We perform a cosmic shear analysis of HSC survey first-year data (HSC-Y1) using Complete Orthogonal Sets of E/B-Integrals (COSEBIs) to derive cosmological constraints. We compute E/B-mode COSEBIs from cosmic shear two-point correlation functions measured on […]

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E/B mode decomposition of HSC-Y1 cosmic shear using COSEBIs: cosmological constraints and comparison with other two-point statistics

Posted by klaurent January 30, 2022Tokyo

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