41 citations · 215 across the 40 of their papers we have counts for
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Fast Parameter Inference on Pulsar Timing Arrays with Normalizing Flows
David Shih, Marat Freytsis, Stephen R. Taylor +2
Pulsar timing arrays (PTAs) perform Bayesian posterior inference with expensive MCMC methods. Given a dataset of ~10-100 pulsars and O(10^3) timing residuals each, producing a post…
The NANOGrav 15-year data set: Search for Transverse Polarization Modes in the Gravitational-Wave Background
Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald +96
Recently we found compelling evidence for a gravitational wave background with Hellings and Downs (HD) correlations in our 15-year data set. These correlations describe gravitation…
The NANOGrav 12.5-year data set: A computationally efficient eccentric binary search pipeline and constraints on an eccentric supermassive binary candidate in 3C 66B
Gabriella Agazie, Zaven Arzoumanian, Paul T. Baker +85
The radio galaxy 3C 66B has been hypothesized to host a supermassive black hole binary (SMBHB) at its center based on electromagnetic observations. Its apparent 1.05-year period an…
The NANOGrav 15-year Gravitational-Wave Background Methods
Aaron D. Johnson, Patrick M. Meyers, Paul T. Baker +93
Pulsar timing arrays (PTAs) use an array of millisecond pulsars to search for gravitational waves in the nanohertz regime in pulse time of arrival data. This paper presents rigorou…
Exploring the Capabilities of Gibbs Sampling in Pulsar Timing Arrays
Nima Laal, William G Lamb, Joseph D. Romano +3
We explore the use of Gibbs sampling in estimating the noise properties of individual pulsars and illustrate its effectiveness using the NANOGrav 11-year data set. We find that Gib…
Generalized optimal statistic for characterizing multiple correlated signals in pulsar timing arrays
Shashwat C. Sardesai, Sarah J. Vigeland, Kyle A. Gersbach +1
The optimal statistic (OS) is a frequentist estimator for the amplitude and significance of a spatially-correlated signal in pulsar timing array (PTA) data, and it is widely used t…