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September 12, 2025Monthly Notices of the Royal Astronomical Society0 citationsOpen Access

Resolving Individual Signals in the Presence of Stochastic Background in Future Pulsar Timing Arrays

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KFK. FurusawaSKSachiko KuroyanagiKIKiyotomo Ichiki

Key Points

  • Our method enhances the accuracy of identifying continuous gravitational wave signals against a stochastic background.
  • The improved $\mathcal{F}$-statistic effectively estimates parameters of continuous gravitational waves from supermassive black hole binaries.
  • This approach is crucial for future pulsar timing array observations with the Square Kilometer Array.
  • Successful identification enhances our understanding of gravitational wave backgrounds from massive black holes.

Abstract

Abstract Recent pulsar timing array (PTA) observations have reported evidence of a gravitational wave background (GWB). If supermassive black holes (SMBHs) are indeed the primary source of this signal, future PTA observations, such as those from the Square Kilometer Array (SKA), are expected to simultaneously capture multiple continuous gravitational waves (CGWs) emitted by bright individual SMBH binaries alongside a gravitational wave background (GWB). To address this anticipated scenario in the SKA era, we revisit the F-statistic, a detection method for single-source signals in PTA datasets, and introduce a new model that accounts for unresolved GWs as a stochastic GWB. Here, we applied this improved F-statistic to the datasets that include both CGW and GWB and evaluated how accurately the F-statistic can identify the parameters of CGW. As a result, we demonstrate that our approach can successfully improve the estimation of the sky position and the amplitude of CGW, particularly when the GWB is dominant over white noise. This work serves as an initial step toward developing an efficient and robust algorithm based on the F-statistic for future PTA observations.

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Cite This Study

Furusawa et al. (2025) studied this question.

synapsesocial.com/papers/68d44c3d31b076d99fa55722https://doi.org/10.1093/mnras/staf1497
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