3 papers
astro-ph.CO2026
Implicit Likelihood Inference and -Binned Reconstruction of Dark Energy
Ke Wang, Jia-Yi Feng, Jianbo Lu
In this paper, to reconstruct the equation of state (EOS) of dark energy (DE) with the redshift binning method, we first introduce a CDM model with a piecewise-constant…
astro-ph.CO2026
Implicit Likelihood Inference of the Neutrino Mass Hierarchy from Cosmological Data
Ke Wang, Jia-Yi Feng
In this paper, we turn to the Learning the Universe Implicit Likelihood Inference (LtU-ILI) pipeline to perform a multi-round ILI of the neutrino mass hierarchy from cosmological d…
hep-ex2025
Prospects for geoneutrino detection with JUNO
Thomas Adam, Shakeel Ahmad, Rizwan Ahmed +625
Geoneutrinos, which are antineutrinos emitted during the decay of long-lived radioactive elements inside Earth, serve as a unique tool for studying the composition and heat budget…