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Accurate characterization of the stochastic gravitational-wave background with pulsar timing arrays by likelihood reweighting
Sophie Hourihane, Patrick Meyers, Aaron Johnson +2
An isotropic stochastic background of nanohertz gravitational waves creates excess residual power in pulsar-timing-array datasets, with characteristic inter-pulsar correlations des…
Efficient Gravitational Wave Searches with Pulsar Timing Arrays using Hamiltonian Monte Carlo
Gabriel E. Freedman, Aaron D. Johnson, Rutger van Haasteren +1
Pulsar timing arrays (PTAs) detect low-frequency gravitational waves (GWs) by looking for correlated deviations in pulse arrival times. Current Bayesian searches use Markov Chain M…
Implementation of an efficient Bayesian search for gravitational wave bursts with memory in pulsar timing array data
Jerry Sun, Paul T. Baker, Aaron D. Johnson +2
The standard Bayesian technique for searching pulsar timing data for gravitational wave (GW) bursts with memory (BWMs) using Markov Chain Monte Carlo (MCMC) sampling is very comput…
Gravitational Wave Statistics for Pulsar Timing Arrays: Examining Bias from Using a Finite Number of Pulsars
Aaron D. Johnson, Sarah J. Vigeland, Xavier Siemens +1
Recently, many different pulsar timing array (PTA) collaborations have reported strong evidence for a common stochastic process in their data sets. The reported amplitudes are in t…