611 citations · 4.1k across the 39 of their papers we have counts for
18 papers · 1 filter
Not just a phase: detecting nanohertz gravitational waves from phase alone
Kathrin Grunthal, Eric Thrane, Rutger van Haasteren +2
Unambiguously detecting a gravitational-wave background (GWB) in pulsar-timing data requires a robust detection statistic. The pulsar timing community currently relies heavily on t…
JUG: JAX-based Unified pulsar timinG
Matthew T. Miles, Stephen R. Taylor, Matthew Bailes +14
We present JUG (JAX-based Unified pulsar timinG), a JAX-based, fully independent pulsar timing package emphasising speed and ease of use, designed to confidently handle the increas…
Pulsar Timing Array Sensitivity to Anisotropy: Empirical Sensitivity Curves, Scaling Relations, and the Multi-Resolution Pixel Basis
Taha T. Moursy, Nihan S. Pol, Gabriella Agazie +115
We quantify pulsar timing array (PTA) sensitivity to anisotropy in the gravitational wave background using the cross-correlation based Fisher information matrix in the pixel and sp…
PINT: Maximum-likelihood estimation of pulsar timing noise parameters
Abhimanyu Susobhanan, David Kaplan, Anne Archibald +21
PINT is a pure-Python framework for high-precision pulsar timing developed on top of widely used and well-tested Python libraries, supporting both interactive and programmatic data…
Pulsar Timing Arrays require hierarchical models
Rutger van Haasteren
Pulsar Timing Array projects have found evidence of a stochastic background of gravitational waves (GWB) using data from an ensemble of pulsars. In the literature, minimal assumpti…
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…
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…
Taming outliers in pulsar-timing datasets with hierarchical likelihoods and Hamiltonian sampling
Michele Vallisneri, Rutger van Haasteren
Pulsar-timing datasets have been analyzed with great success using probabilistic treatments based on Gaussian distributions, with applications ranging from studies of neutron-star…
Are we there yet? Time to detection of nanohertz gravitational waves based on pulsar-timing array limits
S. R. Taylor, M. Vallisneri, J. A. Ellis +3
Decade-long timing observations of arrays of millisecond pulsars have placed highly constraining upper limits on the amplitude of the nanohertz gravitational-wave stochastic signal…
The noise properties of 42 millisecond pulsars from the European Pulsar Timing Array and their impact on gravitational wave searches
R. N. Caballero, K. J. Lee, L. Lentati +36
The sensitivity of Pulsar Timing Arrays to gravitational waves depends on the noise present in the individual pulsar timing data. Noise may be either intrinsic or extrinsic to the…
The NANOGrav Nine-year Data Set: Observations, Arrival Time Measurements, and Analysis of 37 Millisecond Pulsars
Z. Arzoumanian, A. Brazier, S. Burke-Spolaor +41
We present high-precision timing observations spanning up to nine years for 37 millisecond pulsars monitored with the Green Bank and Arecibo radio telescopes as part of the North A…
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…
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…
TempoNest: A Bayesian approach to pulsar timing analysis
Lindley Lentati, Paul Alexander, Michael P. Hobson +4
A new Bayesian software package for the analysis of pulsar timing data is presented in the form of TempoNest which allows for the robust determination of the non-linear pulsar timi…
An Efficient Approximation to the Likelihood for Gravitational Wave Stochastic Background Detection Using Pulsar Timing Data
Justin Ellis, Xavier Siemens, Rutger van Haasteren
Direct detection of gravitational waves by pulsar timing arrays will become feasible over the next few years. In the low frequency regime ( Hz -- Hz), we expect…
Hyper-efficient model-independent Bayesian method for the analysis of pulsar timing data
Lindley Lentati, Paul Alexander, Michael P. Hobson +4
A new model independent method is presented for the analysis of pulsar timing data and the estimation of the spectral properties of an isotropic gravitational wave background (GWB)…
Understanding and analysing time-correlated stochastic signals in pulsar timing
Rutger van Haasteren, Yuri Levin
Although it is widely understood that pulsar timing observations generally contain time-correlated stochastic signals (TCSSs; red timing noise is of this type), most data analysis…
Gravitational-wave memory and pulsar timing arrays
Rutger van Haasteren, Yuri Levin
Pulsar timing arrays (PTAs) are designed to detect gravitational waves with periods from several months to several years, e.g. those produced by by wide supermassive black-hole bin…