activity
20082026
most citedThe NANOGrav 15-year Data Set: Evidence for a Gravitational-Wave Background

1.5k citations · 3.6k across the 19 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

8 papers · 1 filter

astro-ph.IM2025

Optimal robust detection statistics for pulsar timing arrays

Rutger van Haasteren, Bruce Allen, Joseph D. Romano

Pulsar timing arrays (PTAs) seek to detect a nano-Hz stochastic gravitational-wave background (GWB) by searching for the characteristic Hellings and Downs angular pattern of timing…

astro-ph.IM2024★ 6 cited

Regularizing the Pulsar Timing Array likelihood: A path towards Fourier Space

Serena Valtolina, Rutger van Haasteren

The recent announcement of evidence for a stochastic background of gravitational waves (GWB) in pulsar timing array (PTA) data has piqued interest across the scientific community.…

astro-ph.IM2021★ 181 cited

PINT: A Modern Software Package for Pulsar Timing

Jing Luo, Scott Ransom, Paul Demorest +13

Over the past few decades, the measurement precision of some pulsar-timing experiments has advanced from ~10 us to ~10 ns, revealing many subtle phenomena. Such high precision dema…

astro-ph.IM2019★ 98 cited

A pulsar-based timescale from the International Pulsar Timing Array

G. Hobbs, L. Guo, R. N. Caballero +56

We have constructed a new timescale, TT(IPTA16), based on observations of radio pulsars presented in the first data release from the International Pulsar Timing Array (IPTA). We us…

astro-ph.IM2016★ 457 cited

The International Pulsar Timing Array: First Data Release

J. P. W. Verbiest, L. Lentati, G. Hobbs +89

The highly stable spin of neutron stars can be exploited for a variety of (astro-)physical investigations. In particular arrays of pulsars with rotational periods of the order of m…

astro-ph.IM2013★ 4 cited

Analysis of the first IPTA Mock Data Challenge by the EPTA timing data analysis working group

Rutger van Haasteren, Chiara M. F. Mingarelli, Alberto Vecchio +1

This is a summary of the methods we used to analyse the first IPTA Mock Data Challenge (MDC), and the obtained results. We have used a Bayesian analysis in the time domain, acceler…