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The NANOGrav 12.5 yr Data Set: A Computationally Efficient Eccentric Binary Search Pipeline and Constraints on an Eccentric Supermassive Binary Candidate in 3C 66B

17Citations signalées, ce qui n’est pas une note de qualité
57Institutions déclarées
9Pays d’affiliation déclarés

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Le résumé fourni par la source

Abstract The radio galaxy 3C 66B has been hypothesized to host a supermassive black hole binary (SMBHB) at its center based on electromagnetic observations. Its apparent 1.05 yr period and low redshift (∼0.02) make it an interesting testbed to search for low-frequency gravitational waves (GWs) using pulsar timing array (PTA) experiments. This source has been subjected to multiple searches for continuous GWs from a circular SMBHB, resulting in progressively more stringent constraints on its GW amplitude and chirp mass. In this paper, we develop a pipeline for performing Bayesian targeted searches for eccentric SMBHBs in PTA data sets, and test its efficacy by applying it to simulated data sets with varying injected signal strengths. We also search for a realistic eccentric SMBHB source in 3C 66B using the NANOGrav 12.5 yr data set employing PTA signal models containing Earth term-only as well as Earth+pulsar term contributions using this pipeline. Due to limitations in our PTA signal model, we get meaningful results only when the initial eccentricity e 0 < 0.5 and the symmetric mass ratio η > 0.1. We find no evidence for an eccentric SMBHB signal in our data, and therefore place 95% upper limits on the PTA signal amplitude of 88.1 ± 3.7 ns for the Earth term-only and 81.74 ± 0.86 ns for the Earth+pulsar term searches for e 0 < 0.5 and η > 0.1. Similar 95% upper limits on the chirp mass are (1.98 ± 0.05) × 109 and (1.81 ± 0.01) × 109 M ☉. These upper limits, while less stringent than those calculated from a circular binary search in the NANOGrav 12.5 yr data set, are consistent with the SMBHB model of 3C 66B developed from electromagnetic observations.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
The NANOGrav 12.5 yr Data Set: A Computationally Efficient Eccentric Binary Search Pipeline and Constraints on an Eccentric Supermassive Binary Candidate in 3C 66B
Date Crossref
01/03/2024
Éditeur
American Astronomical Society
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

University of Wisconsin–MilwaukeeGoddard Space Flight CenterWidener UniversityOregon State UniversityUniversity of FloridaWest Virginia UniversityCornell UniversityUniversity of BirminghamUniversity of ConnecticutVanderbilt UniversityNew Mexico Institute of Mining and TechnologyMontana State UniversityFranklin & Marshall CollegeUnited States Naval Research LaboratoryGeorge Mason UniversityNational Radio Astronomy ObservatoryHillsdale CollegeEureka ScientificUniversity of East AngliaUniversity of Maryland, College ParkFlatiron Health (United States)Flatiron InstituteTata Institute of Fundamental ResearchUniversity of MichiganCalifornia Institute of TechnologyUniversity of California, BerkeleyUniversity of Washington BothellRochester Institute of TechnologySearch for Extraterrestrial IntelligenceJet Propulsion LaboratoryState University of New York at OswegoUniversity of TorontoUniversity of the PacificUniversity of HullYale UniversityDeutsches Elektronen-Synchrotron DESYCanadian Institute for Theoretical AstrophysicsLafayette CollegeCarnegie Institution for ScienceCarnegie ObservatoriesTufts UniversityEötvös Loránd UniversityUniversity of Puerto Rico-MayaguezTexas Tech UniversityUniversity of MünsterUniversity of Colorado BoulderHarvard UniversityCenter for Astrophysics Harvard & SmithsonianUniversity of ManchesterUniversity of British ColumbiaOberlin CollegeBen-Gurion University of the NegevMiddle East Technical UniversityBoğaziçi UniversityFeza Gürsey InstituteNorthwestern UniversityAdler Planetarium

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Particle physics theoretical and experimental studiesComputational Physics and Python ApplicationsPulsars and Gravitational Waves Research

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