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20192026
most citedThe NANOGrav 15-year Data Set: Evidence for a Gravitational-Wave Background

1.5k citations · 6.6k across the 56 of their papers we have counts for

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5 papers · 1 filter

astro-ph.IM2026

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…

astro-ph.IM2025★ 1 cited

The NANOGrav 12.5-year Data Set: Chromatic Noise Characterization & Mitigation with Time-Domain Kernels

Jeffrey S. Hazboun, Joseph Simon, Jeremy Baier +64

Pulsar timing arrays (PTAs) have recently entered the detection era, quickly moving beyond the goal of simply improving sensitivity at the lowest frequencies for the sake of observ…

astro-ph.IM2024

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…

astro-ph.IM2020★ 25 cited

Your: Your Unified Reader

Kshitij Aggarwal, Devansh Agarwal, Joseph W Kania +9

The advancement in signal processing and GPU based systems has enabled new transient detectors at various telescopes to perform much more sensitive searches than their predecessors…

astro-ph.IM2019★ 2 cited

Results for the International Pulsar Timing Array Second Mock Data Challenge: New Techniques and Challenges for the Detection of Low-Frequency Gravitational-Wave Signals

P. T. Baker, P. R. Brook, W. C. Fiore +5

We present a detailed analysis of the International Pulsar Timing Array (IPTA) Second Mock Data Challenge. We tested our analysis methods using the open datasets, and then analyzed…