611 citations · 4.1k across the 39 of their papers we have counts for
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Low-rank approximations for large stationary covariance matrices, as used in the Bayesian and generalized-least-squares analysis of pulsar-timing data
Rutger van Haasteren, Michele Vallisneri
Many data-analysis problems involve large dense matrices that describe the covariance of stationary noise processes; the computational cost of inverting these matrices, or equivale…
New advances in the Gaussian-process approach to pulsar-timing data analysis
Rutger van Haasteren, Michele Vallisneri
In this work we review the application of the theory of Gaussian processes to the modeling of noise in pulsar-timing data analysis, and we derive various useful and optimized repre…
Mapping the nano-Hertz gravitational wave sky
Neil J. Cornish, Rutger van Haasteren
We describe a new method for extracting gravitational wave signals from pulsar timing data. We show that any gravitational wave signal can be decomposed into an orthogonal set of s…
NANOGrav Limits on Gravitational Waves from Individual Supermassive Black Hole Binaries in Circular Orbits
Z. Arzoumanian, A. Brazier, S. Burke-Spolaor +36
The North American Nanohertz Observatory for Gravitational Waves (NANOGrav) project currently observes 43 pulsars using the Green Bank and Arecibo radio telescopes. In this work we…
Model-based asymptotically optimal dispersion measure correction for pulsar timing
K. J. Lee, C. G. Bassa, G. H. Janssen +8
In order to reach the sensitivity required to detect gravitational waves, pulsar timing array experiments need to mitigate as much noise as possible in timing data. A dominant amou…