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Found 4 papers, 2 papers with code
A representation learning approach to probe for dynamical dark energy in matter power spectra
We present DE-VAE, a variational autoencoder (VAE) architecture to search for a compressed representation of dynamical dark energy (DE) models in observational studies of the cosmic large-scale structure.
Exploring the self-tuning of the cosmological constant from Planck mass variation
We then show how with an extension of the local self-tuning action by a coupled Gauss-Bonnet term and a companion four-form field strength, graviton loops can be prevented from incapacitating the degravitation of the Standard Model vacuum energy.
General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics High Energy Physics - Theory
Hybrid $P_{\ell}(k)$: general, unified, non-linear matter power spectrum in redshift space
We test this approach against comoving Lagrangian acceleration simulation measurements performed in GR, DGP and $f(R)$ gravity and find that our method performs comparably or better to the dark matter TNS redshift space power spectrum model for dark matter.
Cosmology and Nongalactic Astrophysics
Accurate halo-model matter power spectra with dark energy, massive neutrinos and modified gravitational forces
We show that the tuned halo model method can predict the non-linear matter power spectrum measured from simulations of parameterised $w(a)$ dark energy models at the few per cent level for $k<10\, h\mathrm{Mpc}^{-1}$, and we present theoretically motivated extensions to cover non-minimally coupled scalar fields, massive neutrinos and Vainshtein screened modified gravity models that result in few per cent accurate power spectra for $k<10\, h\mathrm{Mpc}^{-1}$.
Cosmology and Nongalactic Astrophysics
