TopoFisher optimizes trainable filtrations, vectorizations, and compressors in persistent homology to maximize Fisher information, yielding higher information than fixed cosmological summaries and approaching neural baselines with far fewer parameters while generalizing better under simulator shifts
Cosmological Non-Linearities as an Effective Fluid
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A next-to-leading order effective field theory for the cosmic pion field yields power spectrum corrections consistent with spacetime symmetry relations and is validated using N-body simulations.
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TopoFisher: Learning Topological Summary Statistics by Maximizing Fisher Information
TopoFisher optimizes trainable filtrations, vectorizations, and compressors in persistent homology to maximize Fisher information, yielding higher information than fixed cosmological summaries and approaching neural baselines with far fewer parameters while generalizing better under simulator shifts
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Effective field theory of a single scalar pion field for large scale structure in the Universe
A next-to-leading order effective field theory for the cosmic pion field yields power spectrum corrections consistent with spacetime symmetry relations and is validated using N-body simulations.
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