activity
20172026
most citedThe NANOGrav 15-year Data Set: Evidence for a Gravitational-Wave Background

1.5k citations · 3.9k across the 36 of their papers we have counts for

collaborators
Showing 2024Show all

8 papers · 1 filter

astro-ph.HE2024

The NANOGrav 15 yr Data Set: Harmonic Analysis of the Pulsar Angular Correlations

Gabriella Agazie, Jeremy G. Baier, Paul T. Baker +86

Pulsar timing array observations have found evidence for an isotropic gravitational wave background with the Hellings-Downs angular correlations, expected from general relativity.…

astro-ph.HE2024

The NANOGrav 15 Yr Data Set: Removing Pulsars One by One from the Pulsar Timing Array

Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald +102

Evidence has emerged for a stochastic signal correlated among 67 pulsars within the 15-year pulsar-timing data set compiled by the NANOGrav collaboration. Similar signals have been…

astro-ph.HE2024★ 4 cited

Inference on inner galaxy structure via gravitational waves from supermassive binaries

Yifan Chen, Matthias Daniel, Daniel J. D'Orazio +107

The detection of a stochastic gravitational wave background by pulsar-timing arrays indicates the presence of a population of supermassive black hole binaries. Although the observe…

astro-ph.HE2024

The NANOGrav 15 yr Data Set: Running of the Spectral Index

Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald +102

The NANOGrav 15-year data provides compelling evidence for a stochastic gravitational-wave (GW) background at nanohertz frequencies. The simplest model-independent approach to char…

astro-ph.HE2024★ 4 cited

The NANOGrav 15 yr data set: Posterior predictive checks for gravitational-wave detection with pulsar timing arrays

Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald +99

Pulsar-timing-array experiments have reported evidence for a stochastic background of nanohertz gravitational waves consistent with the signal expected from a population of superma…

gr-qc2024★ 1 cited

Rapid parameter estimation for pulsar-timing-array datasets with variational inference and normalizing flows

Michele Vallisneri, Marco Crisostomi, Aaron D. Johnson +1

In the gravitational-wave analysis of pulsar-timing-array datasets, parameter estimation is usually performed using Markov Chain Monte Carlo methods to explore posterior probabilit…

astro-ph.HE2024★ 19 cited

The NANOGrav 15 yr Data Set: Looking for Signs of Discreteness in the Gravitational-wave Background

Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald +97

The cosmic merger history of supermassive black hole binaries (SMBHBs) is expected to produce a low-frequency gravitational wave background (GWB). Here we investigate how signs of…

gr-qc2024★ 25 cited

Source Confusion from Neutron Star Binaries in Ground-Based Gravitational Wave Detectors is Minimal

Aaron D. Johnson, Katerina Chatziioannou, Will M. Farr

Upgrades beyond the current second generation of ground-based gravitational wave detectors will allow them to observe tens of thousands neutron star and black hole binaries. Given…