A model based on Chandrasekhar's 1951 time-invariant quantity quantitatively explains the Mach-number dependence of the density power spectrum slope in isothermal supersonic turbulence and demonstrates that the slope cannot reliably determine the Mach number.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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C-4 trains neural networks on simulated cluster injections into real images to learn continuous, non-separable completeness functions, demonstrated in a pilot on NGC 628 to extend usable mass and age ranges and correct flattening in observed distributions.
citing papers explorer
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The slope of the power spectrum of the density field in isothermal supersonic compressible turbulence
A model based on Chandrasekhar's 1951 time-invariant quantity quantitatively explains the Mach-number dependence of the density power spectrum slope in isothermal supersonic turbulence and demonstrates that the slope cannot reliably determine the Mach number.
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The Cluster Completeness Correction Calculator (C-4): A Neural-Network framework and pilot application to the LEGUS Survey of NGC 628
C-4 trains neural networks on simulated cluster injections into real images to learn continuous, non-separable completeness functions, demonstrated in a pilot on NGC 628 to extend usable mass and age ranges and correct flattening in observed distributions.