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Details

Autor(en) / Beteiligte
Titel
Search for an Isotropic Gravitational-wave Background with the Parkes Pulsar Timing Array
Ist Teil von
  • Astrophysical journal. Letters, 2023-07, Vol.951 (1), p.L6
Ort / Verlag
Austin: The American Astronomical Society
Erscheinungsjahr
2023
Link zum Volltext
Quelle
EZB Free E-Journals
Beschreibungen/Notizen
  • Abstract Pulsar timing arrays aim to detect nanohertz-frequency gravitational waves (GWs). A background of GWs modulates pulsar arrival times and manifests as a stochastic process, common to all pulsars, with a signature spatial correlation. Here we describe a search for an isotropic stochastic gravitational-wave background (GWB) using observations of 30 millisecond pulsars from the third data release of the Parkes Pulsar Timing Array (PPTA), which spans 18 yr. Using current Bayesian inference techniques we recover and characterize a common-spectrum noise process. Represented as a strain spectrum h c = A ( f / 1 yr − 1 ) α , we measure A = 3.1 − 0.9 + 1.3 × 10 − 15 and α = −0.45 ± 0.20, respectively (median and 68% credible interval). For a spectral index of α = −2/3, corresponding to an isotropic background of GWs radiated by inspiraling supermassive black hole binaries, we recover an amplitude of A = 2.04 − 0.22 + 0.25 × 10 − 15 . However, we demonstrate that the apparent signal strength is time-dependent, as the first half of our data set can be used to place an upper limit on A that is in tension with the inferred common-spectrum amplitude using the complete data set. We search for spatial correlations in the observations by hierarchically analyzing individual pulsar pairs, which also allows for significance validation through randomizing pulsar positions on the sky. For a process with α = −2/3, we measure spatial correlations consistent with a GWB, with an estimated false-alarm probability of p ≲ 0.02 (approx. 2 σ ). The long timing baselines of the PPTA and the access to southern pulsars will continue to play an important role in the International Pulsar Timing Array.
Sprache
Englisch
Identifikatoren
ISSN: 2041-8205
eISSN: 2041-8213
DOI: 10.3847/2041-8213/acdd02
Titel-ID: cdi_crossref_primary_10_3847_2041_8213_acdd02

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