3.1k citations · 30.9k across the 143 of their papers we have counts for
14 papers · 1 filter
Triumvirate: A Python/C++ package for three-point clustering measurements
Mike Shengbo Wang, Florian Beutler, Naonori S. Sugiyama
Triumvirate is a Python/C++ package for measuring the three-point clustering statistics in large-scale structure (LSS) cosmological analyses. Given a catalogue of discrete particle…
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…
Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument
B. Abareshi, J. Aguilar, S. Ahlen +264
The Dark Energy Spectroscopic Instrument (DESI) has embarked on an ambitious five-year survey to explore the nature of dark energy with spectroscopy of 40 million galaxies and quas…
hankl: A lightweight Python implementation of the FFTLog algorithm for Cosmology
Minas Karamanis, Florian Beutler
We introduce hankl, a lightweight Python implementation of the FFTLog algorithm for Cosmology. The FFTLog algorithm is an extension of the Fast Fourier Transform (FFT) for logarith…
zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference
Minas Karamanis, Florian Beutler, John A. Peacock
We introduce zeus, a well-tested Python implementation of the Ensemble Slice Sampling (ESS) method for Bayesian parameter inference. ESS is a novel Markov chain Monte Carlo (MCMC)…