Search Results for author: Richard Easther

Found 5 papers, 4 papers with code

Caching and Interpolated Likelihoods: Accelerating Cosmological Monte Carlo Markov Chains

no code implementations23 Dec 2010 Adam Bouland, Richard Easther, Katherine Rosenfeld

We describe a novel approach to accelerating Monte Carlo Markov Chains.

Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics

Gravitational Waves from Oscillon Preheating

1 code implementation22 Apr 2013 Shuang-Yong Zhou, Edmund J. Copeland, Richard Easther, Hal Finkel, Zong-Gang Mou, Paul M. Saffin

However, a significant stochastic gravitational wave background may be generated during preheating itself (i. e, when oscillons are forming), and in this case the characteristic size of the oscillons is imprinted on the gravitational wave power spectrum, which has multiple, distinct peaks.

Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Phenomenology High Energy Physics - Theory

PyUltraLight: A Pseudo-Spectral Solver for Ultralight Dark Matter Dynamics

3 code implementations11 Jul 2018 Faber Edwards, Emily Kendall, Shaun Hotchkiss, Richard Easther

PyUltraLight simulates the dynamics of ultralight dark matter in a non-expanding background.

Cosmology and Nongalactic Astrophysics

Robust posterior inference when statistically emulating forward simulations

1 code implementation24 Apr 2020 Grigor Aslanyan, Richard Easther, Nathan Musoke, Layne C. Price

Scientific analyses often rely on slow, but accurate forward models for observable data conditioned on known model parameters.

AxioNyx: Simulating Mixed Fuzzy and Cold Dark Matter

1 code implementation16 Jul 2020 Bodo Schwabe, Mateja Gosenca, Christoph Behrens, Jens C. Niemeyer, Richard Easther

We present the first simulations of mixed fuzzy and cold dark matter, obtained with an extended version of the Nyx code.

Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies

Cannot find the paper you are looking for? You can Submit a new open access paper.