4 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…
New Particles at the Z-Pole: Tera-Z factories as discovery and precision machines
Marco Drewes, Juraj Klarić, Yuan-Zhen Li
Several proposed future lepton colliders are capable of producing trillions of Z-bosons, including FCC-ee, CEPC, LEP3 and LEP-Z. Such Tera-Z factories can discover new elementary p…
Neutrinophilic CDM Extension for EMPRESS, DESI and Hubble Tension
Yuan-Zhen Li, Jiang-Hao Yu
A number of recent cosmological observations have indicated the presence of new physics beyond the CDM model. Combining observations from EMPRESS on helium abundance and…
Primordial lepton asymmetries: neutrino transport, spectral distortions and cosmological constraints
Yuan-Zhen Li, Jiang-Hao Yu
The primordial neutrino asymmetry leaves profound imprints on the evolution history of the universe, which can be constrained by cosmological observations, including Big Bang Nucle…