Kelley, Luke Zoltan and Charisi, Maria and Burke-Spolaor, Sarah and Simon, Joseph and Blecha, Laura and Bogdanovic, Tamara and Colpi, Monica and Comerford, Julie and D'Orazio, Daniel J. and Dotti, Massimo and Eracleous, Michael and Graham, M. and Greene, Jenny E. and Haiman, Zoltán and Holley-Bockelmann, Kelly and Kara, Erin and Kelly, Bernard and Komossa, S. and Larson, Shane L. and Liu, Xin and Ma, Chung-Pei and Noble, Scott and Paschalidis, Vasileios and Rafikov, Roman R. and Ravi, V. and Runnoe, Jessie C. and Sesana, Alberto and Stern, Daniel and Strauss, Michael A. and U, Vivian and Volonteri, Marta (2019) Multi-Messenger Astrophysics with Pulsar Timing Arrays. Astro2020 Science White Paper, . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20190620-160417738
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Abstract
Pulsar timing arrays (PTAs) are on the verge of detecting low-frequency gravitational waves (GWs) from supermassive black hole binaries (SMBHBs). With continued observations of a large sample of millisecond pulsars, PTAs will reach this major milestone within the next decade. Already, SMBHB candidates are being identified by electromagnetic surveys in ever-increasing numbers; upcoming surveys will enhance our ability to detect and verify candidates, and will be instrumental in identifying the host galaxies of GW sources. Multi-messenger (GW and electromagnetic) observations of SMBHBs will revolutionize our understanding of the co-evolution of SMBHs with their host galaxies, the dynamical interactions between binaries and their galactic environments, and the fundamental physics of accretion. Multi-messenger observations can also make SMBHBs 'standard sirens' for cosmological distance measurements out to z≃0.5. LIGO has already ushered in breakthrough insights in our knowledge of black holes. The multi-messenger detection of SMBHBs with PTAs will be a breakthrough in the years 2020−2030 and beyond, and prepare us for LISA to help complete our views of black hole demographics and evolution at higher redshifts.
Item Type: | Report or Paper (White Paper) | ||||||||||
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Series Name: | Astro2020 Science White Paper | ||||||||||
Record Number: | CaltechAUTHORS:20190620-160417738 | ||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20190620-160417738 | ||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||
ID Code: | 96612 | ||||||||||
Collection: | CaltechAUTHORS | ||||||||||
Deposited By: | Tony Diaz | ||||||||||
Deposited On: | 21 Jun 2019 03:07 | ||||||||||
Last Modified: | 09 Mar 2020 13:18 |
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