A massive, neutral gas reservoir permeating a galaxy proto-cluster after the reionization era

Posted by dbos Cambridge

Kavli Affiliate: Debora Sijacki | First 5 Authors: Kasper E. Heintz, Jake S. Bennett, Pascal A. Oesch, Albert Sneppen, Douglas Rennehan | Summary: Galaxy clusters are the most massive, gravitationally-bound structures in the Universe, emerging through hierarchical structure formation of large-scale dark matter and baryon overdensities. Early galaxy “proto-clusters” are believed to be important physical […]


Continue.. A massive, neutral gas reservoir permeating a galaxy proto-cluster after the reionization era

Magnetoresistance and Anisotropic Spin Dynamics in Antiferromagnetic Semiconductor Eu$_5$Sn$_2$As$_6$

Posted by dbos Berkeley

Kavli Affiliate: Joel E. Moore | First 5 Authors: R. P. Day, K. Yamakawa, L. Pritchard Cairns, J. Singleton, Monica Allen | Summary: We report on the thermodynamic and transport properties of the rare-earth Zintl compound Eu$_5$Sn$_2$As$_6$, which orders as a canted antiferromagnetic magnetic semiconductor at 10.3~K. The system also displays a complex cascade of […]


Continue.. Magnetoresistance and Anisotropic Spin Dynamics in Antiferromagnetic Semiconductor Eu$_5$Sn$_2$As$_6$

Revisiting the Ultraviolet Tail of the Primordial Gravitational Wave

Posted by dbos Tokyo

Kavli Affiliate: Misao Sasaki | First 5 Authors: Shi Pi, Misao Sasaki, Ao Wang, Jianing Wang, | Summary: High-frequency primordial gravitational waves (PGWs) with wave numbers larger than the Hubble parameter at the end of inflation are originated from the ultraviolet (UV) modes, which are never stretched out of the horizon. Such a UV tail […]


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Purcell enhancement and spin spectroscopy of silicon vacancy centers in silicon carbide using an ultra-small mode-volume plasmonic cavity

Posted by dbos Cornell

Kavli Affiliate: Gregory D. Fuchs | First 5 Authors: Jae-Pil So, Jialun Luo, Jaehong Choi, Brendan McCullian, Gregory D. Fuchs | Summary: Silicon vacancy (V$_{Si}$) centers in 4H-silicon carbide have emerged as a strong candidate for quantum networking applications due to their robust electronic and optical properties including a long spin coherence lifetime and bright, […]


Continue.. Purcell enhancement and spin spectroscopy of silicon vacancy centers in silicon carbide using an ultra-small mode-volume plasmonic cavity

Revisiting for maximal flavor violating $Z^{‘}_{eμ}$ and its phenomenology constraints

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Jia Liu, Muyuan Song, Haohao Zhang, , | Summary: Lepton flavor violation (LFV), observed conclusively in neutrino oscillations, remains a pivotal area of investigation due to its absence in the Standard Model (SM). Beyond the Standard Model (BSM) physics explores charged lepton flavor violation (CLFV), particularly through […]


Continue.. Revisiting for maximal flavor violating $Z^{‘}_{eμ}$ and its phenomenology constraints

Revisiting for maximal flavor violating $Z^{‘}_{eμ}$ and its phenomenology constraints

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Jia Liu, Muyuan Song, Haohao Zhang, , | Summary: Lepton flavor violation (LFV), observed conclusively in neutrino oscillations, remains a pivotal area of investigation due to its absence in the Standard Model (SM). Beyond the Standard Model (BSM) physics explores charged lepton flavor violation (CLFV), particularly through […]


Continue.. Revisiting for maximal flavor violating $Z^{‘}_{eμ}$ and its phenomenology constraints

PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Xiaolong Mao, Hui Yuan, Xin Lu, Raouf Hamzaoui, Wei Gao | Summary: Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such as the MPEG G-PCC standard. To bridge this gap, we propose a […]


Continue.. PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

PCAC-GAN:ASparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Xiaolong Mao, Hui Yuan, Xin Lu, Raouf Hamzaoui, Wei Gao | Summary: Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such as the MPEG G-PCC standard. To bridge this gap, we propose a […]


Continue.. PCAC-GAN:ASparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

PCAC-GAN:ASparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Xiaolong Mao, Hui Yuan, Xin Lu, Raouf Hamzaoui, Wei Gao | Summary: Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such as the MPEG G-PCC standard. To bridge this gap, we propose a […]


Continue.. PCAC-GAN:ASparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

Ada-adapter:Fast Few-shot Style Personlization of Diffusion Model with Pre-trained Image Encoder

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Jia Liu, Changlin Li, Qirui Sun, Jiahui Ming, Chen Fang | Summary: Fine-tuning advanced diffusion models for high-quality image stylization usually requires large training datasets and substantial computational resources, hindering their practical applicability. We propose Ada-Adapter, a novel framework for few-shot style personalization of diffusion models. Ada-Adapter […]


Continue.. Ada-adapter:Fast Few-shot Style Personlization of Diffusion Model with Pre-trained Image Encoder