Seeking the nearest neutron stars using a new local electron density map

Kavli Affiliate: Lijing Shao | First 5 Authors: Joseph Bramante, Katherine Mack, Nirmal Raj, Lijing Shao, Narayani Tyagi | Summary: Neutron stars provide a compelling testing ground for gravity, nuclear dynamics, and physics beyond the Standard Model, and so it will be useful to locate the neutron stars nearest to Earth. To that end, we […]


Continue.. Seeking the nearest neutron stars using a new local electron density map

Redefining Crowdsourced Test Report Prioritization: An Innovative Approach with Large Language Model

Kavli Affiliate: Jia Liu | First 5 Authors: Yuchen Ling, Shengcheng Yu, Chunrong Fang, Guobin Pan, Jun Wang | Summary: Context: Crowdsourced testing has gained popularity in software testing, especially for mobile app testing, due to its ability to bring diversity and tackle fragmentation issues. However, the openness of crowdsourced testing presents challenges, particularly in […]


Continue.. Redefining Crowdsourced Test Report Prioritization: An Innovative Approach with Large Language Model

A Gigaparsec-Scale Hydrodynamic Volume Reconstructed with Deep Learning

Kavli Affiliate: Salman Habib | First 5 Authors: Cooper Jacobus, Solene Chabanier, Peter Harrington, JD Emberson, Zarija Lukić | Summary: The next generation of cosmological spectroscopic sky surveys will probe the distribution of matter across several Gigaparsecs (Gpc) or many billion light-years. In order to leverage the rich data in these new maps to gain […]


Continue.. A Gigaparsec-Scale Hydrodynamic Volume Reconstructed with Deep Learning

IXPE Observation of the Low-Synchrotron Peaked Blazar S4 0954+65 During An Optical-X-ray Flare

Kavli Affiliate: Herman L. Marshall | First 5 Authors: Pouya M. Kouch, Ioannis Liodakis, Francesco Fenu, Haocheng Zhang, Stella Boula | Summary: The X-ray polarization observations made possible with the Imaging X-ray Polarimetry Explorer (IXPE) offer new ways of probing high-energy emission processes in astrophysical jets from blazars. Here we report on the first X-ray […]


Continue.. IXPE Observation of the Low-Synchrotron Peaked Blazar S4 0954+65 During An Optical-X-ray Flare

Inflation with an Anomalyon and Primordial Black Holes

Kavli Affiliate: David N. Spergel | First 5 Authors: Gregory Gabadadze, David N. Spergel, Giorgi Tukhashvili, , | Summary: We study inflation in a recently proposed gravitational effective field theory describing the trace anomaly. The theory requires an additional scalar which is massless in the early universe. This scalar — referenced as an anomalyon — […]


Continue.. Inflation with an Anomalyon and Primordial Black Holes

BPS Fivebrane Stars III: Effective Actions

Kavli Affiliate: Emil J. Martinec | First 5 Authors: Emil J. Martinec, Yoav Zigdon, , , | Summary: An effective action for NS5-branes coupled to supergravity is used to derive the full 10d form of horizon-free BPS solutions of fivebranes carrying momentum waves, including both transverse scalar and internal gauge excitations of the branes. When […]


Continue.. BPS Fivebrane Stars III: Effective Actions

An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models

Kavli Affiliate: Jing Wang | First 5 Authors: Wentao Qu, Jing Wang, YongShun Gong, Xiaoshui Huang, Liang Xiao | Summary: Existing conditional Denoising Diffusion Probabilistic Models (DDPMs) with a Noise-Conditional Framework (NCF) remain challenging for 3D scene understanding tasks, as the complex geometric details in scenes increase the difficulty of fitting the gradients of the […]


Continue.. An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models

An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models

Kavli Affiliate: Jing Wang | First 5 Authors: Wentao Qu, Jing Wang, YongShun Gong, Xiaoshui Huang, Liang Xiao | Summary: Existing conditional Denoising Diffusion Probabilistic Models (DDPMs) with a Noise-Conditional Framework (NCF) remain challenging for 3D scene understanding tasks, as the complex geometric details in scenes increase the difficulty of fitting the gradients of the […]


Continue.. An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models