BPS Fivebrane Stars II: Fluctuations

Kavli Affiliate: Emil J. Martinec | First 5 Authors: Emil J. Martinec, Yoav Zigdon, , , | Summary: We investigate quantum fluctuations of metric components in coherent 1/2-BPS bound states of $n_1$ fundamental strings and $n_5$ NS5-branes. The leading order contribution in an expansion in $1/(n_1n_5)$ is calculated via a combination of analytical and numerical […]


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BPS Fivebrane Stars I: Expectation Values of Observables

Kavli Affiliate: Emil J. Martinec | First 5 Authors: Emil J. Martinec, Yoav Zigdon, , , | Summary: We study ensembles of 1/2-BPS bound states of fundamental strings and NS-fivebranes (NS5-F1 states) in the AdS decoupling limit. We revisit a solution corresponding to an ensemble average of these bound states, and find that the appropriate […]


Continue.. BPS Fivebrane Stars I: Expectation Values of Observables

BPS Fivebrane Stars I: Expectation Values of Observables

Kavli Affiliate: Emil J. Martinec | First 5 Authors: Emil J. Martinec, Yoav Zigdon, , , | Summary: We study ensembles of 1/2-BPS bound states of fundamental strings and NS-fivebranes (NS5-F1 states) in the AdS decoupling limit. We revisit a solution corresponding to an ensemble average of these bound states, and find that the appropriate […]


Continue.. BPS Fivebrane Stars I: Expectation Values of Observables

Josephson Diode Effect in Topological Superconductor

Kavli Affiliate: Jing Wang | First 5 Authors: Zhaochen Liu, Linghao Huang, Jing Wang, , | Summary: We investigate the Josephson diode effect (JDE) in topological Josephson junctions. By both analytic and numerical calculations, we find that while a Josephson junction in the topological phase may exhibit higher diode efficiency compared to that in the […]


Continue.. Josephson Diode Effect in Topological Superconductor

Josephson Diode Effect in Topological Superconductor

Kavli Affiliate: Jing Wang | First 5 Authors: Zhaochen Liu, Linghao Huang, Jing Wang, , | Summary: We investigate the Josephson diode effect in topological Josephson junctions. We find that while a Josephson junction in the topological phase may exhibit higher diode efficiency compared to that in the trivial phase, this behavior is not universal. […]


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Black hole mass and Eddington ratio distributions of less-luminous quasars at $zsim4$ in the Subaru Hyper Suprime-Cam Wide field

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Wanqiu He, Masayuki Akiyama, Motohiro Enoki, Kohei Ichikawa, Kohei Inayoshi | Summary: We investigate the black hole mass function (BHMF) and Eddington ratio distribution function (ERDF) of broad-line AGNs at z=4, based on a sample of 52 quasars with i<23.2 at 3.50 < z < 4.25 from […]


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Ultrafast 3-D Super Resolution Ultrasound using Row-Column Array specific Coherence-based Beamforming and Rolling Acoustic Sub-aperture Processing: In Vitro, In Vivo and Clinical Study

Kavli Affiliate: Biao Huang | First 5 Authors: Joseph Hansen-Shearer, Jipeng Yan, Marcelo Lerendegui, Biao Huang, Matthieu Toulemonde | Summary: The row-column addressed array is an emerging probe for ultrafast 3-D ultrasound imaging. It achieves this with far fewer independent electronic channels and a wider field of view than traditional 2-D matrix arrays, of the […]


Continue.. Ultrafast 3-D Super Resolution Ultrasound using Row-Column Array specific Coherence-based Beamforming and Rolling Acoustic Sub-aperture Processing: In Vitro, In Vivo and Clinical Study

A Novel Tree Model-based DNN to Achieve a High-Resolution DOA Estimation via Massive MIMO receive array

Kavli Affiliate: Wei Gao | First 5 Authors: Yifan Li, Feng Shu, Jun Zou, Wei Gao, Yaoliang Song | Summary: To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity. […]


Continue.. A Novel Tree Model-based DNN to Achieve a High-Resolution DOA Estimation via Massive MIMO receive array

A Novel Tree Model-based DNN to Achieve a High-Resolution DOA Estimation via Massive MIMO receive array

Kavli Affiliate: Wei Gao | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity. To address this problem, a […]


Continue.. A Novel Tree Model-based DNN to Achieve a High-Resolution DOA Estimation via Massive MIMO receive array

High-Resolution DOA Estimation via a Novel Tree Model-based Deep Neural Network

Kavli Affiliate: Wei Gao | First 5 Authors: Yifan Li, Feng Shu, Jun Zou, Wei Gao, Yaoliang Song | Summary: To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity. […]


Continue.. High-Resolution DOA Estimation via a Novel Tree Model-based Deep Neural Network