Mutual information analysis of TNG50 simulations shows gravitational potential and total energy retain merger mass and infall time information longest, while radial velocity loses it within ~5 Gyr, with washout depending on radius, merger age, and mass.
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7 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 7verdicts
UNVERDICTED 7representative citing papers
The Milky Way stellar disk shows a broken radial density profile with four components, azimuthal dependence, inner and outer flaring, and a density-metallicity bump possibly from radial migration.
GSED unifies six heterogeneous 3D extinction datasets into a single homogenized catalogue of over 1.9 billion entries via a six-layer MLP and provides a real-time coordinate-based query service.
Optimized filters centered at 3920-3960 Angstrom yield metallicity estimates with 0.18-0.39 dex precision down to [Fe/H] ~ -4 for metal-poor stars from Gaia XP spectra, enabling a catalog of 14.5 million such stars.
The Galactic Center Lobe is a foreground HII region at ~2 kpc, photoionized and forming a closed outer loop, not a Galactic center feature.
Correlations between HI velocity complexity and depolarization plus links between Faraday depth moments and neutral gas structure indicate neutral-dominated ISM regions contribute substantially to diffuse synchrotron emission and Faraday rotation.
PISP projects high-dimensional spectra into optimized subspaces using PCA or active subspaces plus L1 selection to raise accuracy and speed of stellar parameter inference over standard methods.
citing papers explorer
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Filter Design for Estimating the Stellar Metallicity of Metal-poor Stars from Gaia XP Spectra
Optimized filters centered at 3920-3960 Angstrom yield metallicity estimates with 0.18-0.39 dex precision down to [Fe/H] ~ -4 for metal-poor stars from Gaia XP spectra, enabling a catalog of 14.5 million such stars.
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PISP: Projected-Space Inference of Stellar Parameters
PISP projects high-dimensional spectra into optimized subspaces using PCA or active subspaces plus L1 selection to raise accuracy and speed of stellar parameter inference over standard methods.