745 citations · 7k across the 80 of their papers we have counts for
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SuperNest: accelerated nested sampling applied to astrophysics and cosmology
Aleksandr Petrosyan, William James Handley
We present a method for improving the performance of nested sampling as well as its accuracy. Building on previous work by Chen et al., we show that posterior repartitioning may be…
Dense output for highly oscillatory numerical solutions
F. J. Agocs, M. P. Hobson, W. J. Handley +1
We present a method to construct a continuous extension (otherwise known as dense output) for a numerical routine in the special case of the numerical solution being a scalar-value…
Beyond the Runge-Kutta-Wentzel-Kramers-Brillouin method
Jamie Bamber, Will Handley
We explore higher-dimensional generalizations of the Runge-Kutta-Wentzel-Kramers-Brillouin method for integrating coupled systems of first-order ordinary differential equations wit…
An efficient method for solving highly oscillatory ordinary differential equations with applications to physical systems
F. J. Agocs, W. J. Handley, A. N. Lasenby +1
We present a novel numerical routine (oscode) with a C++ and Python interface for the efficient solution of one-dimensional, second-order, ordinary differential equations with rapi…
The HANDE-QMC project: open-source stochastic quantum chemistry from the ground state up
James S. Spencer, Nick S. Blunt, Seonghoon Choi +15
Building on the success of Quantum Monte Carlo techniques such as diffusion Monte Carlo, alternative stochastic approaches to solve electronic structure problems have emerged over…
The Runge-Kutta-Wentzel-Kramers-Brillouin Method
W. J. Handley, A. N. Lasenby, M. P. Hobson
We demonstrate the effectiveness of a novel scheme for numerically solving linear differential equations whose solutions exhibit extreme oscillation. We take a standard Runge-Kutta…