output
19922026
most citedThe Seventh Data Release of the Sloan Digital Sky Survey

5.4k citations

Showing 2026Show all

74 papers · 1 filter

cs.LG2026

Reachability-Based Formal Verification of Graph Neural Networks with Node and Edge Features

Anne M. Tumlin, Ben Wooding, Zhenxuan Shao +3

Graph neural networks (GNNs) have become a prominent approach for developing fast, topology-aware surrogates in electric power systems, supporting tasks such as power flow (PF) ana…

astro-ph.SR2026

SDSS-IV MaStar: Determination of Stellar Parameters Using Bayesian Averaging

Yan-Ping Chen, Renbin Yan, Szabolcs Mészáros +12

We present the stellar parameters for 59,266 high-quality spectra of 24,130 unique stars from the MaNGA Stellar Library (MaStar) in the Sloan Digital Sky Survey (SDSS) Data Release…

astro-ph.SR2026

Open Clusters as Laboratories for Cool Star Evolution: Highlights from the Cool Stars 23 Splinter Session

Deepak Chahal, Beatrice Caccherano, Edward Gillen +16

Open clusters remain among the most powerful laboratories for calibrating how fundamental stellar properties such as rotation, magnetic activity, surface chemistry, and internal st…

stat.ME2026

Adaptive Regularization via Extreme Value Distributions for Gaussian Graphical Models

Alexander P. Christensen, Jeongwon Choi, Haoyi Yang +1

Edge selection in Gaussian graphical models is fundamentally a variable selection problem where pairwise relationships determine construct validity and variable importance in psych…

cond-mat.mtrl-sci2026

Elastic properties of amorphous LiTaCl solid-state electrolyte

Xiaolin Liu, De-en Jiang

Amorphous solid-state electrolytes are attractive candidates for safe, high-energy-density all-solid-state batteries, yet their mechanical properties remain poorly understood from…

astro-ph.GA2026

Mapping the z>=5 SiIV Column Density Distribution onto the Galaxy Stellar Mass Function Using the Cumulative Absorption Cross Section

Kristian Finlator, Sam Patterson, Nora Nava +4

Efforts to constrain directly the activity in low-mass galaxies confront sensitivity limits even in the JWST era. Metal absorbers offer a complementary probe and are easier to dete…

cs.CE2026★ 11 cited

Process Optimization Under Uncertainty for Improving the Bond Quality of Polymer Filaments in Fused Filament Fabrication

Berkcan Kapusuzoglu, Matthew Sato, Sankaran Mahadevan +1

This paper develops a computational framework to optimize the process parameters such that the bond quality between extruded polymer filaments is maximized in fused filament fabric…

cs.CE2026★ 2 cited

Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model

Berkcan Kapusuzoglu, Sankaran Mahadevan, Shunsaku Matsumoto +2

This paper proposes a multi-level Bayesian calibration approach that fuses information from heterogeneous sources and accounts for uncertainties in modeling and measurements for ti…

cs.CE2026★ 7 cited

Multi-Objective Optimization Under Uncertainty of Part Quality in Fused Filament Fabrication

Berkcan Kapusuzoglu, Paromita Nath, Matthew Sato +2

This work presents a data-driven methodology for multi-objective optimization under uncertainty of process parameters in the fused filament fabrication (FFF) process. The proposed…

cs.CE2026★ 18 cited

Adaptive surrogate modeling for high-dimensional spatio-temporal output

Berkcan Kapusuzoglu, Shunsaku Matsumoto, Yoshitomo Miyagi +2

This paper develops an adaptive surrogate modeling method for problems with very high-dimensional spatio-temporal outputs. The analysis of spatio-temporal multi-physics systems is…

cs.CE2026★ 52 cited

Information fusion and machine learning for sensitivity analysis using physics knowledge and experimental data

Berkcan Kapusuzoglu, Sankaran Mahadevan

When computational models (either physics-based or data-driven) are used for the sensitivity analysis of engineering systems, the sensitivity estimate is affected by the accuracy a…

cs.LG2026★ 87 cited

Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication

Berkcan Kapusuzoglu, Sankaran Mahadevan

This article investigates several physics-informed and hybrid machine learning strategies that incorporate physics knowledge in experimental data-driven deep-learning models for pr…

gr-qc2026

Dark Matter Deficient Galaxies as Probes of Dark Matter

Oem Trivedi, Abraham Loeb

Dark matter deficient galaxies provide a direct way to test whether baryons and dark matter can become sufficiently separated during galaxy evolution. We formulate a Dark Matter-Ba…

astro-ph.SR2026

A Test of FeH Line Parameters using DR19 APOGEE spectra of Benchmark M Dwarfs

Anderson Silva-Andrade, Diogo Souto, Katia Cunha +9

Recent studies have suggested a mismatch of up to 0.20 dex between iron abundances derived from Fe I and FeH lines in the H-band spectra of M dwarfs, and in this work we investigat…

astro-ph.SR2026

A Probabilistic Framework for Population Studies of the Solar Neighborhood: Application to SDSS-V and Gaia

Ilija Medan, Keivan G. Stassun, Zachary Way +8

Studies of the Solar Neighborhood require spectroscopic follow-up of stars identified in astrometric surveys to fully characterize their physical properties. The SDSS-V Solar Neigh…

astro-ph.EP2026

Stellar Multiplicity of M Dwarfs with Short-period Giant Planets, and the Characterization of TOI-5628Ab

Tianjun Gan, Alexandrine L'Heureux, Charles Cadieux +33

Binary stars are ubiquitous, yet it remains unclear how wide-orbit stellar companions influence the formation of hot Jupiters, particularly around M dwarfs. Here, we first report t…

astro-ph.EP2026★ 1 cited

ASTEP confirmation of a pair of long-period Jupiter-sized planets with extremely low densities transiting TOI-791

Georgina Dransfield, Antoine C. Petit, Amaury H. M. J. Triaud +45

Gas giant planets with periods orbiting Sun-like stars are a relatively uncommon outcome of planetary formation, and key questions about the nature and form…

astro-ph.HE2026★ 1 cited

The NANOGrav 15 yr Data Set: Customized Chromatic Noise Models

Bjorn Larsen, Jeremy G. Baier, Daniel J. Oliver +53

Pulsar timing arrays conduct low-frequency gravitational wave searches, which require comprehensive accounting of various noise sources to achieve robust results. Interstellar prop…

astro-ph.EP2026★ 1 cited

KRONOS I: The m JWST Transmission Spectrum of the 23 Myr V1298 Tau c

Matthew M. Murphy, Matthew C. Nixon, Adina D. Feinstein +16

While recent JWST observations of mature super-Earths and sub-Neptunes have frequently revealed featureless transmission spectra, their inflated progenitors offer a unique window i…

astro-ph.CO2026

Nonlinear Dynamical Regimes of Cosmological Frequency Combs

Madhurendra Mishra, Oem Trivedi, Adarsh Ganesan

We study the emergence of Cosmological Frequency Combs (CFCs) in a quintessence cosmology with an exponential potential using a dynamical systems formulation. Expressing the evolut…

astro-ph.GA2026★ 1 cited

A New Member of the Fast and Furious Family: A Relativistic and Time-Variable UV Outflow in a Luminous Quasar

Lucas M. Seaton, Patrick B. Hall, Liliana Flores +20

We report the fastest quasar outflow first detected in the ultraviolet, via variable C IV and Si IV absorption at outflow velocities km s to at least km…

astro-ph.GA2026★ 2 cited

Milky Way Mapper decoded abundances -- I. Shared disc enrichment patterns

Melissa K. Ness, Sarah Aquilina, Jennifer Mead +15

Elemental abundances in the Milky Way disc trace its star-formation and enrichment history, but predicting these abundances from theory is limited by uncertain nucleosynthetic yiel…

astro-ph.CO2026

Apocalypse When? Solar System Constraints on an Imminent Big Rip

Robert J. Scherrer, Oem Trivedi

Phantom dark energy models with an equation of state parameter lead generically to a future big rip singularity, in which the dark energy density becomes infinite in a fin…

gr-qc2026

Unique Gravitational-Wave Signals from Negative-Mass Binaries

Oem Trivedi, Abraham Loeb

Negative masses have long been explored, but their observational viability remains unclear. In this work, we develop a unified, observationally testable framework to constrain nega…