Publications (14)
Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library
John Veitch, Vivien Raymond, Benjamin Farr +24
The Advanced LIGO and Advanced Virgo gravitational wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a likely source for the firs…
Efficient Estimation of Highly Structured Posteriors of Gravitational-Wave Signals with Markov-Chain Monte Carlo
Benjamin Farr, Vicky Kalogera, Erik Luijten
We introduce a new Markov-Chain Monte Carlo (MCMC) approach designed for efficient sampling of highly correlated and multimodal posteriors. Parallel tempering, though effective, is…
Fortifying the characterization of binary mergers in LIGO data
Tyson B. Littenberg, Michael Coughlin, Benjamin Farr +1
The study of compact binary in-spirals and mergers with gravitational wave observatories amounts to optimizing a theoretical description of the data to best reproduce the true dete…
Inadequacies of the Fisher Information Matrix in gravitational-wave parameter estimation
Carl L. Rodriguez, Benjamin Farr, Will M. Farr +1
The Fisher Information Matrix (FIM) has been the standard approximation to the accuracy of parameter estimation on gravitational-wave signals from merging compact binaries due to i…
Removal of Lunar Dust Simulant from Cold Dielectric Surfaces with Electron Beam
Hsin-yi Hao, Wousik Kim, David S. Shelton +3
It has been demonstrated that lunar dust simulant can be efficiently lofted and removed from various room temperature surfaces in vacuum when exposed to a low-energy electron beam.…
Neutron stars versus black holes: probing the mass gap with LIGO/Virgo
Tyson B. Littenberg, Benjamin Farr, Scott Coughlin +2
Inspirals and mergers of black hole (BHs) and/or neutron star (NSs) binaries are expected to be abundant sources for ground-based gravitational-wave (GW) detectors. We assess the c…