1.4k citations · 1.9k across the 6 of their papers we have counts for
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DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation
Jules Perret, Marc Aréne, Edward K. Porter
We present a deep neural network (DNN) accelerated Hamiltonian Monte Carlo (HMC) algorithm called DeepHMC for the inference of binary neutron star systems. The HMC is a non-random…
The Science of the Einstein Telescope
Adrian Abac, Raul Abramo, Simone Albanesi +485
Einstein Telescope (ET) is the European project for a gravitational-wave (GW) observatory of third-generation. In this paper we present a comprehensive discussion of its science ob…
The Mock LISA Data Challenges: from Challenge 3 to Challenge 4
Stanislav Babak, John G. Baker, Matthew J. Benacquista +27
The Mock LISA Data Challenges are a program to demonstrate LISA data-analysis capabilities and to encourage their development. Each round of challenges consists of one or more data…
Use of the MultiNest algorithm for gravitational wave data analysis
Farhan Feroz, Jonathan R. Gair, Michael P. Hobson +1
We describe an application of the MultiNest algorithm to gravitational wave data analysis. MultiNest is a multimodal nested sampling algorithm designed to efficiently evaluate the…