299 citations · 403 across the 13 of their papers we have counts for
13 papers
The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
Eleonora Di Valentino, Jackson Levi Said, Adam Riess +533
The standard model of cosmology has provided a good phenomenological description of a wide range of observations both at astrophysical and cosmological scales for several decades.…
Cutting corners: Hypersphere sampling as a new standard for cosmological emulators
Andreas Nygaard, Emil Brinch Holm, Steen Hannestad +1
Cosmological emulators of observables such as the Cosmic Microwave Background (CMB) spectra and matter power spectra commonly use training data sampled from a Latin hypercube. This…
Local clustering of relic neutrinos: Comparison of kinetic field theory and the Vlasov equation
Emil Brinch Holm, Stefan Zentarra, Isabel M. Oldengott
Gravitational clustering in our cosmic vicinity is expected to lead to an enhancement of the local density of relic neutrinos. We derive expressions for the neutrino density, using…
Circular reasoning: Solving the Hubble tension with a non- value of
Jonas El Gammal, Sven Günther, Emil Brinch Holm +1
Recently, cosmology has seen a surge in alternative models that purport to solve the discrepancy between the values of the Hubble constant as measured by cosmological microwa…
PROSPECT: A profile likelihood code for frequentist cosmological parameter inference
Emil Brinch Holm, Andreas Nygaard, Jeppe Dakin +2
Cosmological parameter inference has been dominated by the Bayesian approach for the past two decades, primarily due to its computational efficiency. However, the Bayesian approach…
Bayesian and frequentist investigation of prior effects in EFTofLSS analyses of full-shape BOSS and eBOSS data
Emil Brinch Holm, Laura Herold, Théo Simon +4
Previous studies based on Bayesian methods have shown that the constraints on cosmological parameters from the Baryonic Oscillation Spectroscopic Survey (BOSS) full-shape data usin…
Fast and effortless computation of profile likelihoods using CONNECT
Andreas Nygaard, Emil Brinch Holm, Steen Hannestad +1
The frequentist method of profile likelihoods has recently received renewed attention in the field of cosmology. This is because the results of inferences based on the latter may d…
Decaying Dark Matter and the Hubble Tension
Andreas Nygaard, Emil Brinch Holm, Thomas Tram +1
Decaying dark matter models generically modify the equation of state around the time of dark matter decay, and this in turn modifies the expansion rate of the Universe through the…
Local clustering of relic neutrinos with kinetic field theory
Emil Brinch Holm, Isabel M. Oldengott, Stefan Zentarra
The density of relic neutrinos is expected to be enhanced due to clustering in our local neighbourhood at Earth. We introduce a novel analytical technique to calculate the neutrino…
Profiling Cold New Early Dark Energy
Juan S. Cruz, Steen Hannestad, Emil Brinch Holm +3
Recent interest in New Early Dark Energy (NEDE), a cosmological model with a vacuum energy component decaying in a triggered phase transition around recombination, has been sparked…
Discovering a new well: Decaying dark matter with profile likelihoods
Emil Brinch Holm, Laura Herold, Steen Hannestad +2
A large number of studies, all using Bayesian parameter inference from Markov Chain Monte Carlo methods, have constrained the presence of a decaying dark matter component. All such…
Decaying warm dark matter revisited
Emil Brinch Holm, Thomas Tram, Steen Hannestad
Decaying dark matter models provide a physically motivated way of channeling energy between the matter and radiation sectors. In principle, this could affect the predicted value of…
CONNECT: A neural network based framework for emulating cosmological observables and cosmological parameter inference
Andreas Nygaard, Emil Brinch Holm, Steen Hannestad +1
Bayesian parameter inference is an essential tool in modern cosmology, and typically requires the calculation of -- theoretical models for each inference of model param…