The JWST Early Release Science Program for Direct Observations of Exoplanetary Systems VIII: patchy forsterite and enstatite clouds in the atmosphere of VHS 1256 b, retrieval lessons learned and outlook to the future

Kavli Affiliate: Bruce Macintosh | Summary:JWST defines a new era for the data-driven approach of retrieval modelling, which has become a cornerstone tool for the statistical inference of exoplanetary and brown dwarf properties. The Early Release Science program #1386 observations of VHS 1256 b represent a huge jump in data quality, data quantity and spectral […]


Continue.. The JWST Early Release Science Program for Direct Observations of Exoplanetary Systems VIII: patchy forsterite and enstatite clouds in the atmosphere of VHS 1256 b, retrieval lessons learned and outlook to the future

A Search for GeV Emission from Magnetar Giant Flare Candidates with Fermi-LAT

Kavli Affiliate: Nicola Omodei | Summary:The discovery of delayed GeV emission from the extragalactic magnetar giant flare (MGF) GRB 200415A, located in the nearby Sculptor galaxy, revealed for the first time that these rare transients can launch relativistic outflows that power high-energy afterglows. Motivated by the recent identification of additional nearby MGF candidates in the […]


Continue.. A Search for GeV Emission from Magnetar Giant Flare Candidates with Fermi-LAT

AT2021yky: A Fast-Rising Optical Transient with Evolving Broad Hydrogen Emission Consistent with an Ambiguous Nuclear Transient

Kavli Affiliate: Daniel R. Wilkins | Summary:Nuclear transients are powerful probes of supermassive black hole properties, offering insight into black hole mass, accretion physics, and the structure of galactic nuclei. Among these, a growing class of events cannot be classified as either tidal disruption events (TDEs) or active galactic nuclei (AGN) flares, and their physical […]


Continue.. AT2021yky: A Fast-Rising Optical Transient with Evolving Broad Hydrogen Emission Consistent with an Ambiguous Nuclear Transient

Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering

Kavli Affiliate: Zeeshan Ahmed | Summary:Electronic health record (EHR) feature engineering is a major bottleneck in clinical research and AI, accounting for 39-45% of data scientists’ workload. This is especially pronounced in heart failure, which affects an estimated 6.7 million U.S. adults and requires integrating fragmented EHR data with disease-specific, guideline-based clinical reasoning. Existing rule-based […]


Continue.. Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering

Revealing Noise in Axial Motion Through Quantum Noise Spectroscopy on a Trapped Ion Processor

Kavli Affiliate: Susan Clark | Summary:Native noise processes in quantum processors are often difficult to isolate because multiple error mechanisms contribute to the same measured loss of coherence. Here we use dephasing-robust quantum noise spectroscopy to identify and characterize control noise induced by axial motion in an individually-addressed trapped-ion processor. When the ion motion is […]


Continue.. Revealing Noise in Axial Motion Through Quantum Noise Spectroscopy on a Trapped Ion Processor

On-sky results from REDWOODS, a platform at Lick/ShaneAO for testing second stage AO technologies

Kavli Affiliate: Bruce Macintosh | Summary:REDWOODS is a new sub-testbed within the Shane Adaptive Optics (AO) system at Lick observatory, developed to test second stage AO wavefront sensing and control technologies, including a Self-Coherent Camera with optional broadband Wynne corrector, two different three-sided fully reflective highly broadband pyramid wavefront sensor modes, and multi-wavefront sensor single […]


Continue.. On-sky results from REDWOODS, a platform at Lick/ShaneAO for testing second stage AO technologies

A Kalman Filter Based Approach to NV Diamond Data Fusion For Improved Temperature Sensing

Kavli Affiliate: Zeeshan Ahmed | Summary:Nitrogen-vacancy (NV) centers in diamond have been demonstrated to enable highly sensitive temperature measurements using multiple modalities. Standalone optically detected magnetic resonance (ODMR) provides robust temperature estimates, albeit with high latency, whereas all-optical measurements provide millisecond resolution but suffer from poorer long-term accuracy. In this work, we demonstrate a hot-start […]


Continue.. A Kalman Filter Based Approach to NV Diamond Data Fusion For Improved Temperature Sensing

The AGORA High-resolution Galaxy Simulations Comparison Project. IX – Part 2: Effects of a Major Galaxy Merger on the Stellar Morphology of a Milky Way-mass Galaxy Progenitor

Kavli Affiliate: Tom Abel | Summary:Galaxy mergers, with their high sensitivity to initial conditions, provide a valuable setting for comparative studies of galaxy simulation codes. Following our first paper focusing on merger-driven star formation, we present a code comparison examining the morphological transformation impact of a major galaxy merger at $z approx 4.5$ on a […]


Continue.. The AGORA High-resolution Galaxy Simulations Comparison Project. IX – Part 2: Effects of a Major Galaxy Merger on the Stellar Morphology of a Milky Way-mass Galaxy Progenitor

The AGORA High-resolution Galaxy Simulations Comparison Project. IX – Part 1: Effects of a Major Galaxy Merger on Star Formation of a Milky Way-mass Galaxy Progenitor

Kavli Affiliate: Tom Abel | Summary:Given their highly nonlinear dynamics and sensitivity to initial conditions, galaxy mergers are a compelling area to conduct a simulation code comparison. We perform a comparative study of a major galaxy merger at $z approx 4.5$ in cosmological zoom-in hydrodynamic simulations of a Milky Way-mass galaxy progenitor. The comparison employs […]


Continue.. The AGORA High-resolution Galaxy Simulations Comparison Project. IX – Part 1: Effects of a Major Galaxy Merger on Star Formation of a Milky Way-mass Galaxy Progenitor

RAMSES-GPU: Cell-by-Cell Adaptive Mesh Refinement with Magneto-Hydrodynamics and Self-Gravity on Graphics Processing Units

Kavli Affiliate: Tom Abel | Summary:We present the implementation and optimization of the cosmological simulation code RAMSES on Graphics Processing Units (GPUs) using CUDA Fortran. This accelerated version ports the main computational routines, including hydrodynamics, particle dynamics, and self-gravity, to multi-GPU architectures. We detail our strategy for managing cell-by-cell Adaptive Mesh Refinement (AMR) on the […]


Continue.. RAMSES-GPU: Cell-by-Cell Adaptive Mesh Refinement with Magneto-Hydrodynamics and Self-Gravity on Graphics Processing Units