Axions comprise a broad class of particles that can play a major role in explaining the
unknown aspects of cosmology. They are also well-motivated within high energy physics …

MontePython is a parameter inference package for cosmology. We present the latest
development of the code over the past couple of years. We explain, in particular, two new …

We introduce a stable, well tested Python implementation of the affine-invariant ensemble
sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The …

We present a robust method to constrain average galaxy star formation rates (SFRs), star
formation histories (SFHs), and the intracluster light (ICL) as a function of halo mass. Our …

We study the volume-limited and nearly mass-selected (stellar mass M stars≳ 6× 109 M⊙)
ATLAS3D sample of 260 early-type galaxies (ETGs, ellipticals Es and lenticulars S0s). We …

A simple cosmological model with only six parameters (matter density, Ω mh 2, baryon
density, Ω bh 2, Hubble constant, H 0, amplitude of fluctuations, σ 8, optical depth, τ, and a …

The stellar masses, mean ages, metallicities, and star formation histories of galaxies are
now commonly estimated via stellar population synthesis (SPS) techniques. SPS relies on …

We conduct a comprehensive analysis of the relationship between central galaxies and their
host dark matter halos, as characterized by the stellar mass–halo mass (SM–HM) relation …

Observations of the cosmic microwave background (CMB), especially of its frequency
spectrum and its anisotropies, both in temperature and in polarization, have played a key …

Beyond Einstein's Gravity is a graduate level introduction to extended theories of gravity and
cosmology, including variational principles, the weak-field limit, gravitational waves …