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Found 2 papers, 1 papers with code
Fast, high-fidelity Lyman $α$ forests with convolutional neural networks
Full-physics cosmological simulations are powerful tools for studying the formation and evolution of structure in the universe but require extreme computational resources.
Improved Lyman Alpha Tomography using Optimized Reconstruction with Constraints on Absorption (ORCA)
In this work, we propose an improved approach to reconstruct the three-dimensional intergalactic medium from observed Lyman-$\alpha$ forest absorption features.
Astrophysics of Galaxies
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