Skip to main content

Research Repository

Advanced Search

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

Agazie, Gabriella; Arzoumanian, Zaven; Baker, Paul T.; Bécsy, Bence; Blecha, Laura; Blumer, Harsha; Brazier, Adam; Brook, Paul R.; Burke-Spolaor, Sarah; Casey-Clyde, J. Andrew; Charisi, Maria; Chatterjee, Shami; Cheeseboro, Belinda D.; Cohen, Tyler; Cordes, James M.; Cornish, Neil J.; Crawford, Fronefield; Cromartie, H. Thankful; DeCesar, Megan E.; Demorest, Paul B.; Dey, Lankeswar; Dolch, Timothy; Ellis, Justin A.; Ferdman, Robert D.; Ferrara, Elizabeth C.; Fiore, William; Fonseca, Emmanuel; Freedman, Gabriel E.; Garver-Daniels, Nate; Gentile, Peter A.; Glaser, Joseph; Good, Deborah C.; Gopakumar, Achamveedu; Gültekin, Kayhan; Hazboun, Jeffrey S.; Jennings, Ross J.; Johnson, Aaron D.; Jones, Megan L.; Kaiser, Andrew R.; Kaplan, David L.; Kelley, Luke Zoltan; Key, Joey S.; Laal, Nima; Lam, Michael T.; Lamb, William G.; W. Lazio, T. Joseph; Lewandowska, Natalia; Liu, Tingting; Lorimer, Duncan R.; Luo, Jing; Lynch, Ryan S.; Ma, Chung Pei; Madison, Dustin R.; McEwen, Alexander; McKee, Jam...

Authors

Gabriella Agazie

Zaven Arzoumanian

Paul T. Baker

Bence Bécsy

Laura Blecha

Harsha Blumer

Adam Brazier

Paul R. Brook

Sarah Burke-Spolaor

J. Andrew Casey-Clyde

Maria Charisi

Shami Chatterjee

Belinda D. Cheeseboro

Tyler Cohen

James M. Cordes

Neil J. Cornish

Fronefield Crawford

H. Thankful Cromartie

Megan E. DeCesar

Paul B. Demorest

Lankeswar Dey

Timothy Dolch

Justin A. Ellis

Robert D. Ferdman

Elizabeth C. Ferrara

William Fiore

Emmanuel Fonseca

Gabriel E. Freedman

Nate Garver-Daniels

Peter A. Gentile

Joseph Glaser

Deborah C. Good

Achamveedu Gopakumar

Kayhan Gültekin

Jeffrey S. Hazboun

Ross J. Jennings

Aaron D. Johnson

Megan L. Jones

Andrew R. Kaiser

David L. Kaplan

Luke Zoltan Kelley

Joey S. Key

Nima Laal

Michael T. Lam

William G. Lamb

T. Joseph W. Lazio

Natalia Lewandowska

Tingting Liu

Duncan R. Lorimer

Jing Luo

Ryan S. Lynch

Chung Pei Ma

Dustin R. Madison

Alexander McEwen

Maura A. McLaughlin

Patrick M. Meyers

Chiara M.F. Mingarelli

Andrea Mitridate

Cherry Ng

David J. Nice

Stella Koch Ocker

Ken D. Olum

Timothy T. Pennucci

Nihan S. Pol

Henri A. Radovan

Scott M. Ransom

Paul S. Ray

Joseph D. Romano

Shashwat C. Sardesai

Kai Schmitz

Xavier Siemens

Joseph Simon

Magdalena S. Siwek

Sophia V. Sosa Fiscella

Renée Spiewak

Ingrid H. Stairs

Daniel R. Stinebring

Kevin Stovall

Abhimanyu Susobhanan

Joseph K. Swiggum

Stephen R. Taylor

Jacob E. Turner

Caner Unal

Michele Vallisneri

Sarah J. Vigeland

Caitlin A. Witt

Olivia Young

The NANOGrav Collaboration



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.

Citation

Agazie, G., Arzoumanian, Z., Baker, P. T., Bécsy, B., Blecha, L., Blumer, H., …The NANOGrav Collaboration. (2024). 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. The Astrophysical journal, 963(2), 144. https://doi.org/10.3847/1538-4357/ad1f61

Journal Article Type Article
Acceptance Date Jan 15, 2024
Online Publication Date Mar 7, 2024
Publication Date Mar 1, 2024
Deposit Date Mar 11, 2024
Publicly Available Date Mar 12, 2024
Journal Astrophysical Journal
Print ISSN 0004-637X
Electronic ISSN 1538-4357
Publisher American Astronomical Society
Peer Reviewed Peer Reviewed
Volume 963
Issue 2
Pages 144
DOI https://doi.org/10.3847/1538-4357/ad1f61
Keywords Space and Planetary Science; Astronomy and Astrophysics
Public URL https://hull-repository.worktribe.com/output/4586418
Additional Information Article Title: 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; Journal Title: The Astrophysical Journal; Article Type: paper; Copyright Information: © 2024. The Author(s). Published by the American Astronomical Society.; Date Received: 2023-09-27; Date Accepted: 2024-01-15; Online publication date: 2024-03-07

Files

Published article (9.9 Mb)
PDF

Publisher Licence URL
http://creativecommons.org/licenses/by/4.0

Copyright Statement
© 2024. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.




You might also like



Downloadable Citations