Detecting the stochastic gravitational wave background using pulsar timing
| Title: | Detecting the stochastic gravitational wave background using pulsar timing |
|---|---|
| Authors: | Jenet, FA; Hobbs, GB; Lee, KJ; Manchester, RN |
| Contributors: | Jenet, FA (reprint author), Univ Texas, Ctr Gravitat Wave Astron, 80 Ft Brown, Brownsville, TX 78520 USA.; Univ Texas, Ctr Gravitat Wave Astron, Brownsville, TX 78520 USA.; CSIRO, Australia Telescope Natl Facil, Epping, NSW 1710, Australia.; Peking Univ, Dept Astron, Beijing 100871, Peoples R China.; Univ Texas, Ctr Gravitat Wave Astron, 80 Ft Brown, Brownsville, TX 78520 USA. |
| Source: | SCI |
| Publisher Information: | astrophysical journal |
| Publication Year: | 2005 |
| Collection: | Peking University Institutional Repository (PKU IR) / 北京大学机构知识库 |
| Subject Terms: | gravitational waves; pulsars : general; BLACK-HOLE BINARIES; COALESCENCE; RADIATION |
| Description: | The direct detection of gravitational waves is a major goal of current astrophysics. We provide details of a new method for detecting a stochastic background of gravitational waves using pulsar timing data. Our results show that regular timing observations of 40 pulsars each with a timing accuracy of 100 ns will be able to make a direct detection of the predicted stochastic background from coalescing black holes within 5 years. With an improved prewhitening algorithm, or if the background is at the upper end of the predicted range, a significant detection should be possible with only 20 pulsars. ; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000229437000014&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Astronomy & Astrophysics ; SCI(E) ; 150 ; ARTICLE ; 2 ; L123-L126 ; 625 |
| Document Type: | journal/newspaper |
| Language: | English |
| ISBN: | 978-0-00-229437-9; 0-00-229437-0 |
| Relation: | 989604; http://hdl.handle.net/20.500.11897/399286; WOS:000229437000014 |
| DOI: | 10.1086/431220 |
| Availability: | https://hdl.handle.net/20.500.11897/399286; https://doi.org/10.1086/431220 |
| Accession Number: | edsbas.A352A6FB |
| Database: | BASE |