Computing Nonlinear Power Spectra Across Dynamical Dark Energy Model Space with Neural ODEs
I show how to compute the nonlinear power spectrum across the entire $w(z)$ dynamical dark energy model space. Using synthetic ΛCDM data, I train a neural ordinary differential equation (ODE) to infer the evolution of the nonlinear matter power spectrum as a function of the background expansion and...
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| Format: | Article |
| Language: | English |
| Published: |
Maynooth Academic Publishing
2025-08-01
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| Series: | The Open Journal of Astrophysics |
| Online Access: | https://doi.org/10.33232/001c.143521 |
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