EGIDE provides 149,215 edge-on galaxy candidates from DESI DR10 with homogeneous photometry, masses, and redshifts, ten times larger than EGIPS.
Title resolution pending
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.
citing papers explorer
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The Edge-on Galaxies in the DESI survey (EGIDE): sample building and photometry
EGIDE provides 149,215 edge-on galaxy candidates from DESI DR10 with homogeneous photometry, masses, and redshifts, ten times larger than EGIPS.
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New NanoSIMS Multielement Isotope Data Reveal CO Novae As Key Sources Of 13C-rich Presolar Silicon Carbide Grains
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.
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Finding Novel Precursors for Solar Wind Stream Interaction Regions with Interpretable Deep Learning
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.
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Maximum Lifetime of the Vegetative Biosphere
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.
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Mars Thermospheric Polar Warming at Aphelion: Dynamical Processes Studied Using M-GITM
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.
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A Multi-Level Validation and Traceability Framework for AI-Generated Telescope Scheduling Decisions
A validation and traceability framework using data checks, logical consistency, constraint verification, and atomic reasoning units to improve reliability of AI telescope scheduling decisions.
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Ba Isotope Ratio in CEMP-s and CEMP-rs Stars as a Signature of s-Process and i-Process
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.
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A Review on Resolving the Hubble Tension via Late-Universe Physics
A review of late-universe models concludes that DESI BAO plus uncalibrated supernovae data indicate the Hubble tension originates in new low-redshift physics.
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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.