A new denoising method extends the Brunt technique to recover 3D turbulent density dispersions from noisy 2D column-density maps with <15% error for SNR≥1.
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2 Pith papers cite this work, alongside 133 external citations. Polarity classification is still indexing.
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2026 2representative citing papers
In idealised driven subsonic MHD boxes, Arepo, Athena and Ramses all show dynamo amplification whose residual differences are explained by numerical diffusion, with no systematic advantage of constrained transport.
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From 2D to 3D: Recovering Turbulent Density Dispersions from Noisy Data
A new denoising method extends the Brunt technique to recover 3D turbulent density dispersions from noisy 2D column-density maps with <15% error for SNR≥1.
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A comparison of numerical schemes for driven subsonic MHD turbulence
In idealised driven subsonic MHD boxes, Arepo, Athena and Ramses all show dynamo amplification whose residual differences are explained by numerical diffusion, with no systematic advantage of constrained transport.