Massive Galaxy Mergers Have Distinctive Global HI Profiles

Kavli Affiliate: Jing Wang | First 5 Authors: Pei Zuo, Luis C. Ho, Jing Wang, Niankun Yu, Jinyi Shangguan | Summary: The global 21 cm HI emission-line profile of a galaxy encodes valuable information on the spatial distribution and kinematics of the neutral atomic gas. Galaxy interactions significantly influence the HI disk and imprint observable […]


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Strong spiral arms drive secular growth of pseudo bulges in disk galaxies

Kavli Affiliate: Jing Wang | First 5 Authors: Si-Yue Yu, Dewang Xu, Luis C. Ho, Jing Wang, Wei-Bo Kao | Summary: Spiral-driven instabilities may drive gas inflow to enhance central star formation in disk galaxies. We investigate this hypothesis using the Sloan Digital Sky Survey (SDSS) in a sample of 2779 nearby unbarred star-forming main-sequence […]


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Evidence for quasar fast outflows being accelerated at the scale of tens of parsecs

Kavli Affiliate: Luis C. Ho | First 5 Authors: Zhicheng He, Guilin Liu, Tinggui Wang, Guobin Mou, Richard Green | Summary: Quasar outflows may play a crucial role in regulating the host galaxy, although the spatial scale of quasar outflows remain a major enigma, with their acceleration mechanism poorly understood. The kinematic information of outflow […]


Continue.. Evidence for quasar fast outflows being accelerated at the scale of tens of parsecs

Dissecting the different components of the modest accretion bursts of the very young protostar HOPS 373

Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Sung-Yong Yoon, Gregory J. Herczeg, Jeong-Eun Lee, Ho-Gyu Lee, Doug Johnstone | Summary: Observed changes in protostellar brightness can be complicated to interpret. In our JCMT~Transient monitoring survey, we discovered that a young binary protostar, HOPS 373, is undergoing a modest $30%$ brightness increase at 850 […]


Continue.. Dissecting the different components of the modest accretion bursts of the very young protostar HOPS 373

Luminosity function and event rate density of XMM-Newton-selected supernova shock-breakout candidates

Kavli Affiliate: Zhuo Li | First 5 Authors: Hui Sun, He-Yang Liu, Haiwu Pan, Zhu Liu, Dennis Alp | Summary: A dozen X-ray supernova shock breakout (SN SBO) candidates were reported recently based on XMM-Newton archival data, which increased the X-ray selected SN SBO sample by an order of magnitude. Assuming they are genuine SN […]


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Constructing graphs having Laplacian pair state transfer by an edge perturbation

Kavli Affiliate: Jing Wang | First 5 Authors: Wei Wang, Xiaogang Liu, Jing Wang, , | Summary: In this paper, we give some sufficient conditions for graphs with an edge perturbation between twin vertices to have Laplacian perfect pair state transfer as well as Laplacian pretty good pair state transfer. By those sufficient conditions, we […]


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InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training

Kavli Affiliate: Ke Wang | First 5 Authors: Zehua Chen, Xu Tan, Ke Wang, Shifeng Pan, Danilo Mandic | Summary: Denoising diffusion probabilistic models (diffusion models for short) require a large number of iterations in inference to achieve the generation quality that matches or surpasses the state-of-the-art generative models, which invariably results in slow inference […]


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Cold Gas in Massive Galaxies as A Critical Test of Black Hole Feedback Models

Kavli Affiliate: Yingjie Peng | First 5 Authors: Jingjing Shi, Yingjie Peng, Benedikt Diemer, Adam R. H. Stevens, Annalisa Pillepich | Summary: Black hole feedback has been widely implemented as the key recipe to quench star formation in massive galaxies in modern semi-analytic models and hydrodynamical simulations. As the theoretical details surrounding the accretion and […]


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

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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