1.4k citations · 1.9k across the 6 of their papers we have counts for
6 papers
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…
Laser Interferometer Space Antenna
Pau Amaro-Seoane, Heather Audley, Stanislav Babak +81
Following the selection of The Gravitational Universe by ESA, and the successful flight of LISA Pathfinder, the LISA Consortium now proposes a 4 year mission in response to ESA's c…
The Gravitational Universe
The eLISA Consortium, :, P. Amaro Seoane +158
The last century has seen enormous progress in our understanding of the Universe. We know the life cycles of stars, the structure of galaxies, the remnants of the big bang, and hav…
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…