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The NANOGrav 15 yr Data Set: Piecewise Power-law Reconstruction of the Gravitational-wave Background
Journal article   Open access   Peer reviewed

The NANOGrav 15 yr Data Set: Piecewise Power-law Reconstruction of the Gravitational-wave Background

Gabriella Agazie, Akash Anumarlapudi, Anne M Archibald, Zaven Arzoumanian, Jeremy G Baier, Paul T Baker, Bence Bécsy, Amit Bhoonah, Laura Blecha, Adam Brazier, …
Astrophysical journal. Letters, Vol.1004(2), p.L40
20/06/2026
DOI: https://doi.org/10.3847/2041-8213/ae7086

Abstract

Amplitudes Black holes Datasets Frequency spectrum Gravitational waves Particle physics Power law Reconstruction Supermassive black holes
The NANOGrav 15 yr (NG15) data set provides evidence for a gravitational-wave background (GWB) signal at nHz frequencies, which is expected to originate either from a cosmic population of inspiraling supermassive black hole binaries or new particle physics in the early Universe. A firm identification of the source of the NG15 signal requires an accurate reconstruction of its frequency spectrum. In this Letter, we provide such a spectral characterization of the NG15 signal based on a piecewise power-law (PPL) ansatz that strikes a balance between existing alternatives in the literature. Our PPL reconstruction is more flexible than the standard constant power-law model, which describes the GWB spectrum in terms of only two parameters: an amplitude A and a spectral index γ. Concurrently, it better approximates physically realistic GWB spectra—especially those of cosmological origin—than the free spectral model, since the latter allows for arbitrary variations in the GWB amplitude from one frequency bin to the next. Our PPL reconstruction of the NG15 signal relies on individual PPL models with a fixed number of internal nodes (i.e., constant power law, broken power law, doubly broken power law, etc.), which are ultimately combined in a Bayesian model average. The data products resulting from our analysis provide the basis for fast refits of spectral GWB models.
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https://doi.org/10.3847/2041-8213/ae7086View
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