A non-linear solution to the $S_8$ tension II: Analysis of DES Year 3 cosmic shear

Kavli Affiliate: George Efstathiou | First 5 Authors: Calvin Preston, Alexandra Amon, George Efstathiou, , | Summary: Weak galaxy lensing surveys have consistently reported low values of the $S_8$ parameter compared to the $textit{Planck} Lambdarm{CDM}$ cosmology. Amon & Efstathiou (2022) used KiDS-1000 cosmic shear measurements to propose that this tension can be reconciled if the […]


Continue.. A non-linear solution to the $S_8$ tension II: Analysis of DES Year 3 cosmic shear

Rescaling strange-cluster stars and its implications on gravitational-wave echoes

Kavli Affiliate: Renxin Xu | First 5 Authors: Chen Zhang, Yong Gao, Cheng-Jun Xia, Renxin Xu, | Summary: Solid states of strange-cluster matter called strangeon matter can form strangeon stars that are highly compact. We show that strangeon matter and strangeon stars can be recast into dimensionless forms by a simple reparametrization and rescaling, through […]


Continue.. Rescaling strange-cluster stars and its implications on gravitational-wave echoes

Asymmetric node placement in fiber-based quantum networks

Kavli Affiliate: Stephanie Wehner | First 5 Authors: Guus Avis, Robert Knegjens, Anders S. Sørensen, Stephanie Wehner, | Summary: Restrictions imposed by existing infrastructure can make it hard to ensure an even spacing between the nodes of future fiber-based quantum networks. We here investigate the negative effects of asymmetric node placement by considering separately the […]


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Optimizing the Evolution of Perturbations in the $Λ$CDM Universe

Kavli Affiliate: Anthony Challinor | First 5 Authors: Nicholas Choustikov, Zvonimir Vlah, Anthony Challinor, , | Summary: Perturbation theory is a powerful tool for studying large-scale structure formation in the universe and calculating observables such as the power spectrum or bispectrum. However, beyond linear order, typically this is done by assuming a simplification in the […]


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Breakdown of helical edge state topologically protected conductance in time-reversal-breaking excitonic insulators

Kavli Affiliate: Joel E. Moore | First 5 Authors: Yan-Qi Wang, Michał Papaj, Joel E. Moore, , | Summary: Gapless helical edge modes are a hallmark of the quantum spin Hall effect. Protected by time-reversal symmetry, each edge contributes a quantized zero-temperature conductance quantum $G_0 equiv e^2/h$. However, the experimentally observed conductance in WTe$_2$ decreases […]


Continue.. Breakdown of helical edge state topologically protected conductance in time-reversal-breaking excitonic insulators

Power Grid Transient Analysis via Open-Source Circuit Simulator: A Case Study of HVDC

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yongli Zhu, Xiang Zhang, Renchang Dai | Summary: This paper proposes an electronic circuit simulator-based method to accelerate the power system transient simulation, where the modeling of a generic HVDC (High Voltage Direct Current) system is focused. The electronic circuit simulation equations and the backward differentiation formula […]


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A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction

Kavli Affiliate: Feng Wang | First 5 Authors: Ruoqi Wang, Zhuoyang Chen, Qiong Luo, Feng Wang, | Summary: In radio astronomy, signals from radio telescopes are transformed into images of observed celestial objects, or sources. However, these images, called dirty images, contain real sources as well as artifacts due to signal sparsity and other factors. […]


Continue.. A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction

A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction

Kavli Affiliate: Feng Wang | First 5 Authors:Ruoqi Wang, Zhuoyang Chen, Qiong Luo, Feng Wang | Summary: In radio astronomy, signals from radio telescopes are transformed into images of observed celestial objects, or sources. However, these images, called dirty images, contain real sources as well as artifacts due to signal sparsity and other factors. Therefore, […]


Continue.. A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction