The NANOGrav 15 yr Data Set: Looking for Signs of Discreteness in the Gravitational-wave Background
Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald, Zaven, Arzoumanian, Jeremy George Baier, Paul T. Baker, Bence B\'ecsy, Laura Blecha,, Adam Brazier, Paul R. Brook, Lucas Brown, Sarah Burke-Spolaor, J. Andrew, Casey-Clyde, Maria Charisi, Shami Chatterjee, Tyler Cohen

TL;DR
This paper analyzes the NANOGrav 15-year data set to identify signs of the discrete nature of the gravitational wave background, revealing potential deviations from the expected power-law and implications for future detections.
Contribution
It introduces a semi-analytic SMBHB population model fitted to NANOGrav data, identifying spectral excursions and a frequency break indicating the background's stochastic breakdown.
Findings
Detected spectral excursions at 2 nHz and 16 nHz with moderate significance.
Predicted a significant decrease in SMBHB numbers from 10^6 to 10^3 between 2 and 20 nHz.
Identified a spectral break at approximately 26 nHz, consistent with prior predictions.
Abstract
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 the discrete nature of this GWB can manifest in pulsar timing arrays through excursions from, and breaks in, the expected power-law of the GWB strain spectrum. To do this, we create a semi-analytic SMBHB population model, fit to NANOGrav's 15 yr GWB amplitude, and with 1,000 realizations we study the populations' characteristic strain and residual spectra. Comparing our models to the NANOGrav 15 yr spectrum, we find two interesting excursions from the power-law. The first, at , is below our GWB realizations with -value significance to (). The second, at , is above our GWB realizations with $p =…
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Taxonomy
TopicsGeophysics and Gravity Measurements
