On Detecting Nearby Nano-Hertz Gravitational Wave Sources via Pulsar Timing Arrays

Kavli Affiliate: Qingjuan Yu | First 5 Authors: Xiao Guo, Youjun Lu, Qingjuan Yu, , | Summary: Massive binary black holes (MBBHs) in nearby galactic centers, if any, may be nano-Hertz gravitational wave (GW) sources for pulsar timing arrays (PTAs) to detect. Normally the objective GWs for PTA experiments are approximated as plane waves because […]


Continue.. On Detecting Nearby Nano-Hertz Gravitational Wave Sources via Pulsar Timing Arrays

On Detecting Nearby Nano-Hertz Gravitational Wave Sources via Pulsar Timing Arrays

Kavli Affiliate: Qingjuan Yu | First 5 Authors: Xiao Guo, Youjun Lu, Qingjuan Yu, , | Summary: Massive binary black holes (MBBHs) in nearby galactic centers, if any, may be nano-Hertz gravitational wave (GW) sources for pulsar timing arrays (PTAs) to detect. Normally the objective GWs for PTA experiments are approximated as plane waves because […]


Continue.. On Detecting Nearby Nano-Hertz Gravitational Wave Sources via Pulsar Timing Arrays

Polarization effects on fluorescence emission of zebrafish neurons using light-sheet microscopy

Kavli Affiliate: Jing Wang | First 5 Authors: Hong Ye, Xin Xu, Jixiang Wang, Jing Wang, Yi He | Summary: Light-sheet fluorescence microscopy (LSFM) makes use of a thin plane of light to optically section and image transparent tissues or organisms {it{in vivo}}, which has the advantages of fast imaging speed and low phototoxicity. In […]


Continue.. Polarization effects on fluorescence emission of zebrafish neurons using light-sheet microscopy

Neutron stars as extreme laboratories for gravity tests

Kavli Affiliate: Lijing Shao | First 5 Authors: Lijing Shao, Kent Yagi, , , | Summary: Neutron stars are versatile in their application to studying various important aspects of fundamental physics, in particular strong-field gravity tests and the equation of state for super-dense nuclear matter at low temperatures. However, in many cases these two objectives […]


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Static spherical vacuum solutions in the bumblebee gravity model

Kavli Affiliate: Lijing Shao | First 5 Authors: Rui Xu, Dicong Liang, Lijing Shao, , | Summary: The bumblebee gravity model is a vector-tensor theory of gravitation where the vector field nonminimally couples to the Ricci tensor. By investigating the vacuum field equations with spherical symmetry, we find two families of black-hole (BH) solutions in […]


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The EDGE-CALIFA survey: the role of spiral arms and bars in driving central molecular gas concentrations

Kavli Affiliate: Luis C. Ho | First 5 Authors: Si-Yue Yu, Veselina Kalinova, Dario Colombo, Alberto D. Bolatto, Tony Wong | Summary: Shocks and torques produced by non-axisymmetric structures such as spiral arms and bars may transport gas to galaxy central regions. We test this hypothesis by studying the dependence of concentration of CO luminosity […]


Continue.. The EDGE-CALIFA survey: the role of spiral arms and bars in driving central molecular gas concentrations

The EDGE-CALIFA survey: The role of spiral arms and bars in driving central molecular gas concentrations

Kavli Affiliate: Luis C. Ho | First 5 Authors: Si-Yue Yu, Veselina Kalinova, Dario Colombo, Alberto D. Bolatto, Tony Wong | Summary: Shocks and torques produced by non-axisymmetric structures such as spiral arms and bars may transport gas to galaxy central regions. We test this hypothesis by studying the dependence of concentration of CO luminosity […]


Continue.. The EDGE-CALIFA survey: The role of spiral arms and bars in driving central molecular gas concentrations

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

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 […]


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

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

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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Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules

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 […]


Continue.. Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules