activity
20102026
most citedThe NANOGrav 15-year Data Set: Evidence for a Gravitational-Wave Background

1.5k citations · 7.8k across the 76 of their papers we have counts for

collaborators

87 papers

astro-ph.HE2026

The NANOGrav 15 yr Dataset: Modified Functional Forms for Profile-Evolution Time Delays in Pulsar Timing Models

Sofia V. Sosa Fiscella, Michael T. Lam, Olivia West +49

Radio pulsars exhibit frequency-dependent variations in the shape of their pulse profiles that introduce systematic delays in the observed pulse times of arrival (TOA) across an ob…

astro-ph.HE2026

Optimal Pulsar Timing Array Strategies with the Deep Synoptic Array

Tyler Cohen, Paul B. Demorest, Jeremy G. Baier +50

Pulsar timing array (PTA) experiments have seen evidence for a nanohertz-frequency gravitational wave background (GWB) through coordinated radio timing observations of millisecond…

astro-ph.HE2026

Empirical determination of the Galactic neutron star--black hole merger rate using StarTrack models

Terrence Pierre Jacques, D. R. Lorimer, Nihan Pol +2

The discovery of a pulsar in a binary system with a black hole would provide a unique laboratory for testing general relativity in the strong-field regime and offer vital constrain…

astro-ph.HE2026

Constraints on Supermassive Black Hole Binaries from the Lack of Resolvable Sources in the NANOGrav 15-yr Dataset

Emiko C. Gardiner, Kayhan Gültekin, Philippe Turgeon +116

Pulsar timing arrays (PTAs) have found evidence of a gravitational wave background (GWB) consistent with a population of supermassive black hole binaries (SMBHBs), but have not yet…

astro-ph.IM2026

A Delayed Rejection Reversible Jump Markov Chain Monte Carlo Method for Multi-Resolution Maps of the Stochastic Gravitational Wave Background with Pulsar Timing Array Data

Taha T. Moursy, Nihan S. Pol

Pulsar timing array anisotropy analyses often use a naive counting argument to set resolutions of inferred maps of the stochastic gravitational wave background (GWB). We present a…

astro-ph.HE2026

Generalized Non-linear Bayesian Pulsar Timing with Enterprise

Andrew R. Kaiser, Jeffrey S. Hazboun, Maura A. McLaughlin +56

In this study, we use the Bayesian methods in the Enterprise package to examine the fully general parameterization of pulsar timing models in tandem with noise. We investigate four…