The EGIDE project releases a tenfold larger catalogue of edge-on galaxies with griz photometry, stellar masses, redshifts and star formation rates, finding that red-sequence galaxies are thicker than blue-cloud ones and show a mass-dependent increase in flattening ratio.
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9 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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New isotopic data from presolar SiC grains are best reproduced by hydrodynamic models of CO novae, establishing them as the primary source for 1-2% of such grains.
SIREN is a ~100k-parameter Transformer that detects SIRs with ROC-AUC 0.93 on held-out data and attributes 24% importance to proton density and 13-17% to transverse velocity, identifying flow deflection as a consistent signature.
3D climate modeling indicates the vegetative biosphere could persist until 1.84 Gyr under strong weathering with a 1 ppm CO2 limit or 1.87 Gyr under weak weathering before thermal limits, approaching moist greenhouse conditions.
M-GITM simulations show gravity waves are critical for aphelion thermospheric polar warming but the model underestimates the observed polar-to-low-latitude temperature difference.
A validation and traceability framework using data checks, logical consistency, constraint verification, and atomic reasoning units to improve reliability of AI telescope scheduling decisions.
NLTE analysis finds F_odd of 0.65 in one CEMP-rs star versus 0.23 in two CEMP-s stars, supporting distinct isotope ratios as a signature of different neutron-capture processes.
A review of late-universe models concludes that DESI BAO plus uncalibrated supernovae data indicate the Hubble tension originates in new low-redshift physics.
A review of ML/DL methods for exoplanet transit detection, vetting, and atmospheric retrieval in the JWST and Ariel contexts, highlighting performance gains and open challenges.
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Machine Learning and Deep Learning for Exoplanet Detection and Atmospheric Characterization with JWST and the Upcoming Ariel Mission
A review of ML/DL methods for exoplanet transit detection, vetting, and atmospheric retrieval in the JWST and Ariel contexts, highlighting performance gains and open challenges.