Escaped White Dwarf Candidates from Open Clusters

Kavli Affiliate: David W. Miller | Summary:Observations reveal a pronounced deficit of white dwarfs (WDs) in open clusters (OCs) relative to theoretical expectations, suggesting that a significant fraction of WDs may have escaped from their parent clusters after formation. In this work, we perform a systematic search for escaped WD candidates from OCs by back-tracing […]


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OpenCosmo: Community Portal and Analysis Framework for Flagship Cosmological Simulations

Kavli Affiliate: Katrin Heitmann | Summary:Cosmology is an observational precision science, and detailed and scientifically rich simulations are necessary components of many analyses. These simulations are often computationally expensive and produce massive amounts of complex data. Sharing that data widely to enable further explorations, comparison with observations, and communication with general audiences is crucial to […]


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OpenCosmo: Community Portal and Analysis Framework for Flagship Cosmological Simulations

Kavli Affiliate: Katrin Heitmann | Summary:Cosmology is a precision observational science, and large simulations are necessary components of many analyses. These simulations are computationally expensive and produce massive, complex datasets; sharing them widely — to enable further explorations, comparison with observations, and communication with general audiences — is crucial to realizing their scientific value. In […]


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Dark Energy and Neutrino Flavor from the Weak Axion

Kavli Affiliate: Carlos Wagner | Summary:Dynamical dark energy offers an alternative to a cosmological constant with distinct observational signatures. However, the small energy density scale, Hubble-sized mass, and Planckian excursions make simple models fine-tuned and unnatural. In this work, we show that a weak version of the axion, identified with the phase field of the […]


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The white dwarf population of open clusters and their tidal tails. Tracers of contamination and stellar interactions

Kavli Affiliate: David W. Miller | Summary:Recent Gaia studies have identified numerous open clusters (OCs) & tidal tail catalogues, enabling systematic searches for white dwarfs (WDs) associated with clusters & their extended structures. We compile a literature-based sample of OC-WD pairs to validate WD membership in cluster cores & tails, investigate the initial-final mass relation […]


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Constraints on Sub-MeV Dark Matter from Solar Reflection with DAMIC-M

Kavli Affiliate: Paolo Privitera | Summary:The Sun acts as a natural dark matter accelerator. Galactic halo particles scattering in the solar plasma emerge with velocities well beyond the Galactic escape speed, providing a boosted flux that extends the kinematic reach of direct detection experiments into the sub-MeV mass regime. We present constraints on solar-reflected dark […]


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Chromatic Effects Across the Roman Focal Plane: Implications for Supernova Photometry and Measurements of Cosmological Parameters

Kavli Affiliate: Richard Kessler | Summary:Calibration uncertainties are the leading systematics in cosmological analyses using Type Ia supernovae (SNe Ia). For the textitNancy Grace Roman Space Telescope (Roman), we quantify the impact of chromatic effects on SNe Ia photometry and derived cosmological parameters, using simulated light curves from the High-Latitude Time Domain Survey. We investigate […]


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Boötes III is a Tidally Disrupting Ultra-Faint Dwarf Galaxy on an Eccentric Polar Orbit

Kavli Affiliate: Alexander Ji | Summary:We present updated systemic properties of the ultra-faint dwarf galaxy Boötes III from the Southern Stellar Stream Spectroscopic Survey (S$^5$). We identify 21 high-probability members and measure a velocity dispersion of $σ_v = 1.69^+1.03_-0.85$ km s$^-1$, about six times smaller than the previously reported $10.7 pm 3.5$ km s$^-1$, and […]


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Optimized Instance Alteration for Explaining and Assessing Robustness of Classifiers

Kavli Affiliate: David W. Miller | Summary:In this work, we propose a unified approach for diagnosing misclassification and assessing the robustness of black-box classifiers. Central to our method is an optimization framework that modifies an instance so that the classifier predicts a specified target label, while ensuring that the modification remains easily explainable. The objective […]


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