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Resolving multiple supermassive black hole binaries with pulsar timing arrays

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arxiv 1112.1075 v1 pith:MUOKSBWX submitted 2011-12-05 astro-ph.CO

Resolving multiple supermassive black hole binaries with pulsar timing arrays

classification astro-ph.CO
keywords sourcesarraysignalalgorithmbinariesblackdatadifferent
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We study the capability of a pulsar timing array (PTA) to individually resolve and localize in the sky monochromatic gravitational wave (GW) sources. Given a cosmological population of inspiralling massive black hole binaries, their observable signal in the PTA domain is expected to be a superposition of several nearly-monochromatic GWs of different strength. In each frequency bin, the signal is neither a stochastic background nor perfectly resolvable in its individual components. In this context, it is crucial to explore how the information encoded in the spatial distribution of the array of pulsars might help recovering the origin of the GW signal, by resolving individually and locating in the sky the strongest sources. In this paper we develop a maximum-likelihood based method finalized to this purpose. We test the algorithm against noiseless data showing that up to P/3 sources can be resolved and localized in the sky by an array of P pulsars. We validate the code by performing blind searches on both noiseless and noisy data containing an unknown number of signals with different strengths. Even without employing any proper search algorithm, our analysis procedure performs well, recovering and correctly locating in the sky almost all the injected sources.

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Cited by 3 Pith papers

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    A two-dimensional joint-posterior analysis of multiple nanohertz gravitational-wave sources can infer pulsar distances below the parsec level in simulated SKA-era pulsar timing arrays.

  2. The NANOGrav 15 yr Data Set: Customized Chromatic Noise Models

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    Customized chromatic noise models for 67 pulsars detect non-dispersive delays in 21 cases, alter achromatic noise inferences in 19, and enable solar wind density estimates over 1.5 cycles.

  3. The NANOGrav 15 yr Data Set: Impacts of Customized Chromatic Noise Models on Gravitational Wave Analyses

    astro-ph.CO 2026-06 unverdicted novelty 4.0

    Customized chromatic noise models applied to NANOGrav 15 yr data raise the Bayes factor for Hellings-Downs GWB correlations by a factor of ~8, lower the amplitude to 2.1e-15, and increase the spectral index to 3.5.