G2L:From Giga-Scale to Cancer-Specific Large-Scale Pathology Foundation Models via Knowledge Distillation

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:Recent studies in pathology foundation models have shown that scaling training data, diversifying cancer types, and increasing model size consistently improve their performance. However, giga-scale foundation models, which are trained on hundreds of thousands of slides covering tens of cancer types and […]


Continue.. G2L:From Giga-Scale to Cancer-Specific Large-Scale Pathology Foundation Models via Knowledge Distillation

GATOS IX: A Detailed Assessment and Treatment of Emission Line Contamination in JWST/MIRI Images of Nearby Seyfert Galaxies

Kavli Affiliate: Rodriguez Enrique Lopez | Summary:Broadband mid-infrared (MIR) imaging with high spatial resolution is useful to study extended dust structures in the circumnuclear regions of nearby AGN. However, broadband imaging filters cannot distinguish dust continuum emission from emission lines, and so accounting for the emission line contamination becomes crucial in studying extended dust in […]


Continue.. GATOS IX: A Detailed Assessment and Treatment of Emission Line Contamination in JWST/MIRI Images of Nearby Seyfert Galaxies

TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion Control

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:Current controllable diffusion models typically rely on fixed architectures that modify intermediate activations to inject guidance conditioned on a new modality. This approach uses a static conditioning strategy for a dynamic, multi-stage denoising process, limiting the model’s ability to adapt its response […]


Continue.. TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion Control

A Sharper View of the X-ray Spectrum of MCG–6-30-15 with XRISM, XMM-Newton and NuSTAR

Kavli Affiliate: Daniel R. Wilkins | Summary:We present a time-averaged spectral analysis of the 2024 XRISM observation of the narrow-line Seyfert-1 galaxy MCG–6-30-15, taken contemporaneously with XMM-Newton and NuSTAR. Our analysis leverages a unique combination of broadband and high-resolution X-ray spectroscopy to definitively isolate and characterize both broad and narrow emission and absorption features in […]


Continue.. A Sharper View of the X-ray Spectrum of MCG–6-30-15 with XRISM, XMM-Newton and NuSTAR

Measuring the Temperature of Extremely Hot Shock-Heated Gas in the Major Merger MACS~J0717.5+3745 With Relativistic Corrections to the Sunyaev-Zel’dovich Effect

Kavli Affiliate: Adam Mantz | Summary:The conversion of gravitational potential to kinetic energy results in an intracluster medium (ICM) gas with a characteristic temperature near 10 keV in the most massive galaxy clusters. X-ray observations, primarily from Chandra and XMM-Newton, have revealed a wealth of information about the thermodynamics of this gas. However, two regimes […]


Continue.. Measuring the Temperature of Extremely Hot Shock-Heated Gas in the Major Merger MACS~J0717.5+3745 With Relativistic Corrections to the Sunyaev-Zel’dovich Effect

Measuring the Temperature of Extremely Hot Shock-Heated Gas in the Major Merger MACS J0717.5+3745 With Relativistic Corrections to the Sunyaev-Zel’dovich Effect

Kavli Affiliate: Adam Mantz | Summary:The conversion of gravitational potential to kinetic energy results in an intracluster medium (ICM) gas with a characteristic temperature near 10 keV in the most massive galaxy clusters. X-ray observations, primarily from Chandra and XMM-Newton, have revealed a wealth of information about the thermodynamics of this gas. However, two regimes […]


Continue.. Measuring the Temperature of Extremely Hot Shock-Heated Gas in the Major Merger MACS J0717.5+3745 With Relativistic Corrections to the Sunyaev-Zel’dovich Effect

Measuring the Temperature of Extremely Hot Shock-Heated Gas in the Major Merger MACS J0717.5+3745 With Relativistic Corrections to the Sunyaev-Zel’dovich Effect

Kavli Affiliate: Adam Mantz | Summary:The conversion of gravitational potential to kinetic energy results in an intracluster medium (ICM) gas with a characteristic temperature near 10 keV in the most massive galaxy clusters. X-ray observations, primarily from Chandra and XMM-Newton, have revealed a wealth of information about the thermodynamics of this gas. However, two regimes […]


Continue.. Measuring the Temperature of Extremely Hot Shock-Heated Gas in the Major Merger MACS J0717.5+3745 With Relativistic Corrections to the Sunyaev-Zel’dovich Effect

Direct Spectroscopy of 51 Eridani b with JWST NIRSpec

Kavli Affiliate: Bruce Macintosh | Summary:We present high-contrast direct spectroscopy of the low-mass, cool exoplanet 51 Eridani b (2-4 M$_textrmJup$, $sim$750 K) using JWST / NIRSpec in a fixed-slit configuration (F290LP / G395H, $3-5,μ$m, R$sim$2,700). A cross correlation analysis between the continuum-subtracted data and atmospheric forward models indicates a detection of molecular signals of planetary […]


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Study of few-electron backgrounds in the LUX-ZEPLIN detector

Kavli Affiliate: T. A. Shutt| First 5 Authors: D. S. Akerib, D. S. Akerib, , , | Summary:The LUX-ZEPLIN (LZ) experiment aims to detect rare interactions between dark matter particles and xenon. Although the detector is designed to be the most sensitive to GeV/$c^2$–TeV/$c^2$ Weakly Interacting Massive Particles (WIMPs), it is also capable of measuring […]


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D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI

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:Large language models leverage internet-scale text data, yet embodied AI remains constrained by the prohibitive costs of physical trajectory collection. Desktop environments — particularly gaming — offer a compelling alternative: they provide rich sensorimotor interactions at scale while maintaining the structured observation-action […]


Continue.. D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI