Seven blind lens models of MACS J0138-2155 combined with the SN Encore time delay yield H0 = 66.9^{+11.2}_{-8.1} km s^{-1} Mpc^{-1}, with forecasts for future images enabling 2-3% precision.
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6 Pith papers cite this work. Polarity classification is still indexing.
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Near-critical magnetic fields of 100-700 kG confined below the H-burning shell are inferred in eight Kepler red giants via non-perturbative modeling of mixed-mode frequencies, identifying components as m=0 and m=1 rather than m=±1.
Simulation analysis of 415 clusters reveals two accretion regimes: warm filament gas enters slowly thermalizing at 2-4 R200 while tangential velocity gradients and hot gas ejection appear at 1-2 R200, with no strong filament accretion shocks.
Random forest classifiers classify Kepler targets and select analysis methods to measure surface rotation periods of solar-like stars.
Six M dwarfs exhibit diverse large-scale magnetic topologies, with fast rotators showing dipole or non-axisymmetric toroidal fields and a moderate rotator showing weak fields.
Random Forest model classifies K2 stars into four categories with over 80% accuracy using effective temperature, luminosity, and FliPer features.
citing papers explorer
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Cosmology with supernova Encore in the strong lensing cluster MACS J0138-2155: Lens model comparison and H0 measurement
Seven blind lens models of MACS J0138-2155 combined with the SN Encore time delay yield H0 = 66.9^{+11.2}_{-8.1} km s^{-1} Mpc^{-1}, with forecasts for future images enabling 2-3% precision.
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Near-critical magnetic fields in Kepler red giants
Near-critical magnetic fields of 100-700 kG confined below the H-burning shell are inferred in eight Kepler red giants via non-perturbative modeling of mixed-mode frequencies, identifying components as m=0 and m=1 rather than m=±1.
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Cosmic gas accretion from filaments onto galaxy clusters using the IllustrisTNG simulation
Simulation analysis of 415 clusters reveals two accretion regimes: warm filament gas enters slowly thermalizing at 2-4 R200 while tangential velocity gradients and hot gas ejection appear at 1-2 R200, with no strong filament accretion shocks.
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Determining surface rotation periods of solar-like stars observed by the Kepler mission using machine learning techniques
Random forest classifiers classify Kepler targets and select analysis methods to measure surface rotation periods of solar-like stars.
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Magnetic geometry of M dwarfs in the southern PLATO field
Six M dwarfs exhibit diverse large-scale magnetic topologies, with fast rotators showing dipole or non-axisymmetric toroidal fields and a moderate rotator showing weak fields.
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Automatic classification of K2 pulsating stars using machine learning techniques
Random Forest model classifies K2 stars into four categories with over 80% accuracy using effective temperature, luminosity, and FliPer features.