A parallelized Bayesian approach to accelerated gravitational-wave background characterization-Reference-Cited by-同舟云学术

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A parallelized Bayesian approach to accelerated gravitational-wave background characterization

Published:2022-04-26 Issue:8 Volume:105 Page:
ISSN:2470-0010
Container-title:Physical Review D
language:en
Short-container-title:Phys. Rev. D

Author:

Taylor Stephen R.^ORCID,Simon Joseph,Schult Levi^ORCID,Pol Nihan^ORCID,Lamb William G.^ORCID

Funder

National Science Foundation

Vanderbilt University

University of Colorado Boulder

Colorado State University

Vanderbilt Initiative for Data-intensive Astrophysics

Advanced Computing Center for Research and Education

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevD.105.084049/fulltext

Reference49 articles.

1. Response of Doppler spacecraft tracking to gravitational radiation

2. Pulsar timing measurements and the search for gravitational waves

3. Massive black hole binaries in active galactic nuclei

4. Low‐Frequency Gravitational Waves from Massive Black Hole Binaries: Predictions forLISAand Pulsar Timing Arrays

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The NANOGrav 15 yr Data Set: Chromatic Gaussian Process Noise Models for Six Pulsars;The Astrophysical Journal;2024-08-23

2. Comparing Recent Pulsar Timing Array Results on the Nanohertz Stochastic Gravitational-wave Background;The Astrophysical Journal;2024-04-29

3. Practical approaches to analyzing PTA data: Cosmic strings with six pulsars;Physical Review D;2023-12-15

4. Rapid refitting techniques for Bayesian spectral characterization of the gravitational wave background using pulsar timing arrays;Physical Review D;2023-11-13

5. Exploring the capabilities of Gibbs sampling in pulsar timing arrays;Physical Review D;2023-09-07

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