Origin of the double-peaked narrow emission-lines in the optical spectra of X-shaped Radio Galaxies

Kavli Affiliate: Luis Ho | Summary:We investigate X-shaped radio galaxies (XRGs) with optical double-peaked narrow emission lines (DPNELs) as potential hosts of dual or binary supermassive black holes (SMBHs). Using available optical spectra from the SDSS and DESI surveys, we identify 55 DPNEL sources among a sample of 187 XRGs. We find that the occurrence […]


Continue.. Origin of the double-peaked narrow emission-lines in the optical spectra of X-shaped Radio Galaxies

$TbarT$ and root-$TbarT$ deformations in four-dimensional Chern-Simons theory

Kavli Affiliate: Masahito Yamazaki | Summary:The four-dimensional Chern-Simons (CS) theory provides a systematic procedure for realizing two-dimensional integrable field theories. It is therefore a natural question to ask whether integrable deformations of the theories can be realized in the four-dimensional CS theory. In this work, we study $TbarT$ and root-$TbarT$ deformations of two-dimensional integrable field […]


Continue.. $TbarT$ and root-$TbarT$ deformations in four-dimensional Chern-Simons theory

Geometric interpretation of the hyperfine Breit–Rabi solution

Kavli Affiliate: Lihong V. Wang| First 5 Authors: Lihong V. Wang, Lihong V. Wang, , , | Summary:We present a geometric interpretation of the hyperfine Breit–Rabi eigenvalues and eigenvectors in alkali atoms after reformulating the standard solution into a compact form. In this picture, the nuclear magnetic moment has a polar angle fixed by the […]


Continue.. Geometric interpretation of the hyperfine Breit–Rabi solution

RadarPLM: Adapting Pre-trained Language Models for Marine Radar Target Detection by Selective Fine-tuning

Kavli Affiliate: Li Xin Li| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Recent advances in pre-trained language models (PLMs) have demonstrated their capabilities in capturing universal knowledge, making them promising for radar signal processing applications. Nevertheless, directly fine-tuning PLMs on radar signals is both computationally expensive and prone to overfitting, particularly in low signal-to-clutter […]


Continue.. RadarPLM: Adapting Pre-trained Language Models for Marine Radar Target Detection by Selective Fine-tuning

Programmable Optical Filters Based on Feed-Forward Photonic Meshes

Kavli Affiliate: David W. Miller | Summary:We demonstrate an integrated photonic circuit based on feed forward photonic meshes that can be programmed and reconfigured to perform arbitrary spectral filter functions. We investigate a subset of the available filter functions, demonstrating that a N = 4 input triangular mesh with M = 3 layers may be […]


Continue.. Programmable Optical Filters Based on Feed-Forward Photonic Meshes

Oscillating Heat Transfer Prediction in Porous Structures Using Generative AI-Assisted Explainable Machine Learning

Kavli Affiliate: Laura Schaefer | Summary:Predicting and interpreting thermal performance under oscillating flow in porous structures remains a critical challenge due to the complex coupling between fluid dynamics and geometric features. This study introduces a data-driven wGAN-LBM-Nested_CV framework that integrates generative deep learning, numerical simulation based on the lattice Boltzmann method (LBM), and interpretable machine […]


Continue.. Oscillating Heat Transfer Prediction in Porous Structures Using Generative AI-Assisted Explainable Machine Learning

The Polar Orbit of TOI-2374 b, a Planet in the Neptunian Ridge

Kavli Affiliate: David Charbonneau | Summary:The “Neptunian ridge” is a recently identified peak in the frequency of planets with sizes between that of Neptune and Saturn orbiting their host stars with periods between 3 and 6 days (A. Castro-González et al. 2024). These planets may have formed similarly to their larger, hot Jupiter counterparts in […]


Continue.. The Polar Orbit of TOI-2374 b, a Planet in the Neptunian Ridge

CORB-Planner: Corridor as Observations for RL Planning in High-Speed Flight

Kavli Affiliate: Zhuo Li | First 5 Authors: Yechen Zhang, Yechen Zhang, , , | Summary: Reinforcement learning (RL) has shown promise in a large number of robotic control tasks. Nevertheless, its deployment on unmanned aerial vehicles (UAVs) remains challenging, mainly because of reliance on accurate dynamic models and platform-specific sensing, which hinders cross-platform transfer. […]


Continue.. CORB-Planner: Corridor as Observations for RL Planning in High-Speed Flight

Probing small-scale dark matter clumping with the large-scale 21-cm power spectrum

Kavli Affiliate: George Efstathiou | Summary:The 21-cm line of hydrogen is the most promising probe of the Dark Ages and Cosmic Dawn. We combine hydrodynamical simulations with a large-scale grid in order to calculate the effect of non-linear structure formation on the large-scale 21-cm power spectrum, focusing on redshifts $z=20-40$. As the clumping effect arises […]


Continue.. Probing small-scale dark matter clumping with the large-scale 21-cm power spectrum

Probing small-scale dark matter clumping with the large-scale 21-cm power spectrum

Kavli Affiliate: George Efstathiou | Summary:The 21-cm line of hydrogen is the most promising probe of the Dark Ages and Cosmic Dawn. We combine hydrodynamical simulations with a large-scale grid in order to calculate the effect of non-linear structure formation on the large-scale 21-cm power spectrum, focusing on redshifts $z=20-40$. As the clumping effect arises […]


Continue.. Probing small-scale dark matter clumping with the large-scale 21-cm power spectrum