August 30, 2022 – Kavli Institute Pre-Print Publications

The Athena X-ray Integral Field Unit: a consolidated design for the system requirement review of the preliminary definition phase

Posted by klaurent August 30, 2022September 12, 2022Stanford

Kavli Affiliate: Kent Irwin | First 5 Authors: Didier Barret, Vincent Albouys, Jan-Willem den Herder, Luigi Piro, Massimo Cappi | Summary: The Athena X-ray Integral Unit (X-IFU) is the high resolution X-ray spectrometer, studied since 2015 for flying in the mid-30s on the Athena space X-ray Observatory, a versatile observatory designed to address the Hot […]

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Breaking down the magnonic Wiedemann-Franz law in the hydrodynamic regime

Posted by klaurent August 30, 2022UCAS

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Ryotaro Sano, Mamoru Matsuo, , , | Summary: Recent experiments have shown an indication of a hydrodynamic magnon behavior in ultrapure ferromagnetic insulators; however, its direct observation is still lacking. Here, we derive a set of coupled hydrodynamic equations and study the thermal and spin conductivities for […]

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Breaking down the magnonic Wiedemann-Franz law in the hydrodynamic regime

Posted by klaurent August 30, 2022September 12, 2022UCAS

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Towards reliable head and neck cancers locoregional recurrence prediction using delta-radiomics and learning with rejection option

Posted by klaurent August 30, 2022September 12, 2022Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Kai Wang, Michael Dohopolski, Qiongwen Zhang, David Sher, Jing Wang | Summary: A reliable locoregional recurrence (LRR) prediction model is important for the personalized management of head and neck cancers (HNC) patients. This work aims to develop a delta-radiomics feature-based multi-classifier, multi-objective, and multi-modality (Delta-mCOM) model for […]

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A Learning-Based 3D EIT Image Reconstruction Method

Posted by klaurent August 30, 2022September 12, 2022UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Zhaoguang Yi, Zhou Chen, Yunjie Yang, , | Summary: Deep learning has been widely employed to solve the Electrical Impedance Tomography (EIT) image reconstruction problem. Most existing physical model-based and learning-based approaches focus on 2D EIT image reconstruction. However, when they are directly extended to the 3D […]

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The Carnegie-Irvine Galaxy Survey. X. Bulges in Stellar Mass-based Scaling Relations

Posted by klaurent August 30, 2022Peking

Kavli Affiliate: Luis C. Ho | First 5 Authors: Hua Gao, Luis C. Ho, Zhao-Yu Li, , | Summary: We measure optical colors for the bulges of 312 disk galaxies from the Carnegie-Irvine Galaxy Survey and convert their previously available $R$-band structural parameters to stellar mass parameters. We also measure their average stellar mass surface […]

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Structure of domain walls in chiral spin liquids

Posted by klaurent August 30, 2022September 12, 2022Berkeley

Kavli Affiliate: Joel E. Moore | First 5 Authors: Yan-Qi Wang, Chunxiao Liu, Joel E. Moore, , | Summary: The chiral spin liquid is one of the canonical examples of a topological state of quantum spins coexisting with symmetry-breaking chiral order; its experimental realization has been actively discussed in the past few years. Here, motivated […]

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Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules

Posted by klaurent August 30, 2022Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Jinming Liu, Heming Sun, Jiro Katto, | Summary: Lossless image compression is an essential research field in image compression. Recently, learning-based image compression methods achieved impressive performance compared with traditional lossless methods, such as WebP, JPEG2000, and FLIF. However, there are still many impressive lossy […]

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