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Comparison of cosmic string and superstring models to NANOGrav 12.5-year results

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arxiv 2102.08194 v2 pith:UXV57UUK submitted 2021-02-16 astro-ph.CO gr-qchep-ph

Jose J. Blanco-Pillado , Ken D. Olum , Jeremy M. Wachter This is my paper · ORCID
classification astro-ph.COgr-qchep-ph
keywords cosmicstringsbackgroundmodelsnanogravsignalstringuncertainties
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We compare the spectrum of the stochastic gravitational wave background produced in several models of cosmic strings with the common-spectrum process recently reported by NANOGrav. We discuss theoretical uncertainties in computing such a background, and show that despite such uncertainties, cosmic strings remain a good explanation for the potential signal, but the consequences for cosmic string parameters depend on the model. Superstrings could also explain the signal, but only in a restricted parameter space where their network behavior is effectively identical to that of ordinary cosmic strings.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Cosmic superstrings in large volume compactifications: PTAs, LISA and time-varying tension

    astro-ph.CO 2025-04 conditional novelty 7.0 of 10

    Cosmic superstrings with a time-varying tension in large-volume string compactifications generically predict a LISA-band spectral drop and a high-frequency f^4 boost, encoding the mass and decay of the volume modulus.

  2. Detection of cosmic strings by gravitational wave lensing. Predictions for Einstein Telescope

    astro-ph.CO 2026-07 conditional novelty 5.0 of 10

    Simulated cosmic-string lensing of binary black holes predicts Einstein Telescope would detect the events and infer Gµ ≈ 1e-10, though the source geometry is assumed ad hoc.

  3. Searching beyond the fiducial stochastic gravitational wave background in pulsar timing array data using likelihood reweighting

    gr-qc 2025-04 conditional novelty 5.0 of 10

    A two-stage likelihood reweighting method recovers the parameters and Bayes factor of an added sinusoid signal in simulated pulsar timing data, matching full Bayesian analyses while claiming about a tenfold speedup.

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