5 papers
Machine Learning Does It and Does It Better: Unearthing Primordial Dark-Matter Velocities from the Matter Power Spectrum
Keith R. Dienes, Jessica N. Howard, Fei Huang +2
One effective way of learning about the production and properties of dark matter in the early universe is by extracting information about the primordial dark-matter phase-space dis…
Primordial Black Holes and their Mass Spectra: The Effects of Mergers and Accretion within Stasis Cosmologies
Keith R. Dienes, Lucien Heurtier, Fei Huang +2
A variety of processes in the very early universe can give rise to a population of primordial black holes (PBHs) with an extended mass spectrum. For certain mass spectra of this so…
Cosmological Stasis from Field-Dependent Decay
Fei Huang, V. Knapp-Perez
Cosmological stasis is a new type of epoch in the cosmological timeline during which the cosmological abundances of different energy components -- such as vacuum energy, matter, an…
Spotting Stasis in Cosmological Perturbations
Keith R. Dienes, Lucien Heurtier, Daniel Hoover +3
As discussed in a number of recent papers, cosmological stasis is a phenomenon wherein the abundances of multiple cosmological energy components with different equations of state r…
Cosmological Stasis from Dynamical Scalars: Tracking Solutions and the Possibility of a Stasis-Induced Inflation
Keith R. Dienes, Lucien Heurtier, Fei Huang +2
It has recently been realized that many theories of physics beyond the Standard Model give rise to cosmological histories exhibiting extended epochs of cosmological stasis. During…