Dwarf galaxy halo masses from spectroscopic and photometric lensing in DESI and DES

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Helena Treiber, Helena Treiber, , , | Summary: We present the most precise and lowest-mass weak lensing measurements of dwarf galaxies to date, enabled by spectroscopic lenses from the Dark Energy Spectroscopic Instrument (DESI) and photometric lenses from the Dark Energy Survey (DES) calibrated with DESI […]


Continue.. Dwarf galaxy halo masses from spectroscopic and photometric lensing in DESI and DES

Dwarf galaxy halo masses from spectroscopic and photometric lensing in DESI and DES

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Helena Treiber, Helena Treiber, , , | Summary: We present the most precise and lowest-mass weak lensing measurements of dwarf galaxies to date, enabled by spectroscopic lenses from the Dark Energy Spectroscopic Instrument (DESI) and photometric lenses from the Dark Energy Survey (DES) calibrated with DESI […]


Continue.. Dwarf galaxy halo masses from spectroscopic and photometric lensing in DESI and DES

Dwarf galaxy halo masses from spectroscopic and photometric lensing in DESI and DES

Kavli Affiliate: Risa Wechsler | Summary:We present the most precise and lowest-mass weak lensing measurements of dwarf galaxies to date, enabled by spectroscopic lenses from the Dark Energy Spectroscopic Instrument (DESI) and photometric lenses from the Dark Energy Survey (DES) calibrated with DESI redshifts. Using DESI spectroscopy from the first data release, we construct clean […]


Continue.. Dwarf galaxy halo masses from spectroscopic and photometric lensing in DESI and DES

Low-energy nuclear recoil calibration of the LUX-ZEPLIN experiment with a photoneutron source

Kavli Affiliate: Daniel Akerib| First 5 Authors: J. Aalbers, J. Aalbers, , , | Summary:The LZ experiment is a liquid xenon time-projection chamber (TPC) searching for evidence of particle dark matter interactions. In the simplest assumption of elastic scattering, many dark matter models predict an energy spectrum which rises quasi-exponentially with decreasing energy transfer to […]


Continue.. Low-energy nuclear recoil calibration of the LUX-ZEPLIN experiment with a photoneutron source

Polarimeter to Unify the Corona and Heliosphere (PUNCH)

Kavli Affiliate: Heather Kelly| First 5 Authors: Craig DeForest, Craig DeForest, , , | Summary:The Polarimeter to Unify the Corona and Heliosphere (PUNCH) mission is a NASA Small Explorer to determine the cross-scale processes that unify the solar corona and heliosphere. PUNCH has two science objectives: (1) understand how coronal structures become the ambient solar […]


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Non-Abelian Gauge Theory of Spin Triplet Superconductivity and Spin Triplet Magnon Spintronics

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 present an SU(2)xU(1) genralization of the Ginzburg-Landau theory for the spin triplet ferromagnetic superconductivity which could also describe the physics of the spin triplet magnon spintronics, where the SU(2) gauge interaction of the magnon plays an important role. The theory is […]


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Underactuated Robotic Hand with Grasp State Estimation Using Tendon-Based Proprioception

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:Anthropomorphic underactuated hands are valued for their structural simplicity and inherent adaptability. However, the uncertainty arising from interdependent joint motions makes it challenging to capture various grasp states during hand-object interaction without increasing structural complexity through multiple embedded sensors. This motivates the […]


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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 […]


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A Generative Deep Learning and Explainable Machine Learning Framework for Heat Transfer Prediction and Analysis in Porous Structures with Oscillatory Flows

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 framework that integrates generative deep learning, numerical simulation based on the lattice Boltzmann method (LBM), and interpretable machine learning […]


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Progress toward a demonstration of high contrast imaging at ultraviolet wavelengths

Kavli Affiliate: Bruce Macintosh | Summary:NASA’s Habitable Worlds Observatory (HWO) aims to achieve starlight suppression to the $10^-10$ level for the detection and spectral characterization of Earth-like exoplanets. Broadband ozone absorption features are key biosignatures that appear in the 200-400nm near-ultraviolet (UV) regime. Extending coronagraphy from visible wavelengths to the UV, however, brings with it […]


Continue.. Progress toward a demonstration of high contrast imaging at ultraviolet wavelengths