How Significant are Cosmological Collider Signals in the Planck Data?

Kavli Affiliate: E. P. S. Shellard | Summary:The search for primordial non-Gaussianities (PNG) is theoretically well motivated but remains observationally challenging. Tight constraints with low significance for the standard non-Gaussian shapes suggest that detection may lie beyond the reach of near-future experiments. However, tests of PNG are highly template-dependent. From a theory perspective, a whole […]


Continue.. How Significant are Cosmological Collider Signals in the Planck Data?

How Significant are Cosmological Collider Signals in the Planck Data?

Kavli Affiliate: E. P. S. Shellard | Summary:The search for primordial non-Gaussianities (PNG) is theoretically well motivated but remains observationally challenging. Tight constraints with low significance for the standard non-Gaussian shapes suggest that detection may lie beyond the reach of near-future experiments. However, tests of PNG are highly template-dependent. From a theory perspective, a whole […]


Continue.. How Significant are Cosmological Collider Signals in the Planck Data?

Saxiphilin functions as a “toxin sponge” protein that counteracts the effects of saxitoxin poisoning

Endothelial type I interferon signaling modulates the vascular response to ischemic brain injury Kavli Affiliate: Daniel Minor | Authors: Samantha A Nixon, Sandra Zakrzewska, Seil Jang, Keli Huang, Anissa Barra, Zhou Chen, Daynen R Goss, Elizabeth Park, J Du Bois and Daniel L Minor, Jr. | Summary: Saxitoxin (STX) is among the most potent toxins […]


Continue.. Saxiphilin functions as a “toxin sponge” protein that counteracts the effects of saxitoxin poisoning

“Awe-scillations”: EEG spectral and complexity representations of awe

Endothelial type I interferon signaling modulates the vascular response to ischemic brain injury Kavli Affiliate: Adam Gazzaley | Authors: Joseph Chih Chien Chen, Gabriella Mace, Avery Ostrand, Christian Valtierra, Sydney Griffith, Richard Campusano, Andrew Li, Erin Vinson, Jonas Schlomberg, Maya Eshel, John Matthew Suntay, Syed Rahim, Roger Anguera, Daniel A Brown, Nicole C Swann, Luca […]


Continue.. “Awe-scillations”: EEG spectral and complexity representations of awe

Residual Stress Anisotropy In Thin-Film Lithium Niobate For Stress-Managed MEMS

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:In this work, we present the first experimental study of residual stress and post-release beam deflection in 128-degree Y-cut thin-film lithium niobate (TFLN) on Si, revealing pronounced stress anisotropy with in-plane orientation. Using optical profilometry with curvature fitting, we extract the stress […]


Continue.. Residual Stress Anisotropy In Thin-Film Lithium Niobate For Stress-Managed MEMS

Improved error correction with leakage reduction units built into qubit measurement in a superconducting quantum processor

Kavli Affiliate: Leonardo Dicarlo | Summary:Leakage to non-computational states is a source of correlated errors in both time and space that limits the effectiveness of quantum error correction (QEC) with superconducting circuits. We present and experimentally demonstrate a high-fidelity, leakage reduction unit (LRU) operating concurrently with transmon measurement without incurring time overhead. Adapted from double-drive […]


Continue.. Improved error correction with leakage reduction units built into qubit measurement in a superconducting quantum processor

Illustrator’s Depth: Monocular Layer Index Prediction for Image Decomposition

Kavli Affiliate: Matthew Fisher | Summary:We introduce Illustrator’s Depth, a novel definition of depth that addresses a key challenge in digital content creation: decomposing flat images into editable, ordered layers. Inspired by an artist’s compositional process, illustrator’s depth infers a layer index to each pixel, forming an interpretable image decomposition through a discrete, globally consistent […]


Continue.. Illustrator’s Depth: Monocular Layer Index Prediction for Image Decomposition

Illustrator’s Depth: Monocular Layer Index Prediction for Image Decomposition

Kavli Affiliate: Matthew Fisher | Summary:We introduce Illustrator’s Depth, a novel definition of depth that addresses a key challenge in digital content creation: decomposing flat images into editable, ordered layers. Inspired by an artist’s compositional process, illustrator’s depth infers a layer index to each pixel, forming an interpretable image decomposition through a discrete, globally consistent […]


Continue.. Illustrator’s Depth: Monocular Layer Index Prediction for Image Decomposition

SVRecon: Sparse Voxel Rasterization for Surface Reconstruction

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:We extend the recently proposed sparse voxel rasterization paradigm to the task of high-fidelity surface reconstruction by integrating Signed Distance Function (SDF), named SVRecon. Unlike 3D Gaussians, sparse voxels are spatially disentangled from their neighbors and have sharp boundaries, which makes them […]


Continue.. SVRecon: Sparse Voxel Rasterization for Surface Reconstruction

A XRISM View of Relativistic Reflection in Cygnus X-1

Kavli Affiliate: Erin Kara | Summary:We present the first high-resolution XRISM/Resolve view of the relativistically broadened Fe K line in Cygnus X-1. The data clearly separate the relativistic broad line from the underlying continuum and from narrow emission and absorption features in the Fe band. The unprecedented spectral resolution in the Fe K band clearly […]


Continue.. A XRISM View of Relativistic Reflection in Cygnus X-1