44 citations · 171 across the 8 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
astro-ph.CO2020★ 1 cited
Seeking New Physics in Cosmology with Bayesian Neural Networks: Dark Energy and Modified Gravity
Michele Mancarella, Joe Kennedy, Benjamin Bose +1
We study the potential of Bayesian Neural Networks (BNNs) to detect new physics in the dark matter power spectrum, concentrating here on evolving dark energy and modifications to G…
gr-qc2020★ 15 cited
Parameterised post-Newtonian formalism for the effective field theory of dark energy via screened reconstructed Horndeski theories
Cyril Renevey, Joe Kennedy, Lucas Lombriser
We bring together two popular formalisms which generically parameterise deviations from General Relativity on astrophysical and cosmological scales, namely the parameterised post-N…
gr-qc2020★ 11 cited
Positivity bounds on reconstructed Horndeski models
Joe Kennedy, Lucas Lombriser
Positivity bounds provide conditions that a consistent UV-completion exists for a quantum field theory. We examine their application to Horndeski gravity models reconstructed from…