5.1k citations · 46.6k across the 215 of their papers we have counts for
216 papers
DES Y3 + KiDS-1000: Consistent cosmology combining cosmic shear surveys
Dark Energy Survey, Kilo-Degree Survey Collaboration, : +160
We present a joint cosmic shear analysis of the Dark Energy Survey (DES Y3) and the Kilo-Degree Survey (KiDS-1000) in a collaborative effort between the two survey teams. We find c…
Impact of tidal environment on galaxy clustering in GAMA
Shadab Alam, Aseem Paranjape, John A. Peacock
We constrain models of the galaxy distribution in the cosmic web using data from the Galaxy and Mass Assembly (GAMA) survey. We model the redshift-space behaviour of the 2-point co…
Feedback-driven anisotropy in the circumgalactic medium for quenching galaxies in the SIMBA simulations
Tianyi Yang, Romeel Davé, Weiguang Cui +3
We use the SIMBA galaxy formation simulation suite to explore anisotropies in the properties of circumgalactic gas that result from accretion and feedback processes. We particularl…
The fate of baryons in counterfactual universes
Boon Kiat Oh, John A. Peacock, Sadegh Khochfar +1
We present results from nine simulations that compare the standard Cold Dark Matter cosmology (CDM) with counterfactual universes, for approximately using t…
pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology
Minas Karamanis, David Nabergoj, Florian Beutler +2
pocoMC is a Python package for accelerated Bayesian inference in astronomy and cosmology. The code is designed to sample efficiently from posterior distributions with non-trivial g…
Accelerating astronomical and cosmological inference with Preconditioned Monte Carlo
Minas Karamanis, Florian Beutler, John A. Peacock +2
We introduce Preconditioned Monte Carlo (PMC), a novel Monte Carlo method for Bayesian inference that facilitates efficient sampling of probability distributions with non-trivial g…