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Astrophysics Milestones For Pulsar Timing Array Gravitational Wave Detection

Authors :
Pol, Nihan S.
Taylor, Stephen R.
Kelley, Luke Zoltan
Vigeland, Sarah J.
Simon, Joseph
Chen, Siyuan
Arzoumanian, Zaven
Baker, Paul T.
Bécsy, Bence
Brazier, Adam
Brook, Paul R.
Burke-Spolaor, Sarah
Chatterjee, Shami
Cordes, James M.
Cornish, Neil J.
Crawford, Fronefield
Cromartie, H. Thankful
DeCesar, Megan E.
Demorest, Paul B.
Dolch, Timothy
Ferrara, Elizabeth C.
Fiore, William
Fonseca, Emmanuel
Garver-Daniels, Nathan
Good, Deborah C.
Hazboun, Jeffrey S.
Jennings, Ross J.
Jones, Megan L.
Kaiser, Andrew R.
Kaplan, David L.
Key, Joey Shapiro
Lam, Michael T.
Lazio, T. Joseph W.
Luo, Jing
Lynch, Ryan S.
Madison, Dustin R.
McEwen, Alexander
McLaughlin, Maura A.
Mingarelli, Chiara M. F.
Ng, Cherry
Nice, David J.
Pennucci, Timothy T.
Ransom, Scott M.
Ray, Paul S.
Shapiro-Albert, Brent J.
Siemens, Xavier
Stairs, Ingrid H.
Stinebring, Daniel R.
Swiggum, Joseph K.
Vallisneri, Michele
Wahl, Haley
Witt, Caitlin A.
Publication Year :
2020

Abstract

The NANOGrav Collaboration reported strong Bayesian evidence for a common-spectrum stochastic process in its 12.5-yr pulsar timing array dataset, with median characteristic strain amplitude at periods of a year of $A_{\rm yr} = 1.92^{+0.75}_{-0.55} \times 10^{-15}$. However, evidence for the quadrupolar Hellings \& Downs interpulsar correlations, which are characteristic of gravitational wave signals, was not yet significant. We emulate and extend the NANOGrav dataset, injecting a wide range of stochastic gravitational wave background (GWB) signals that encompass a variety of amplitudes and spectral shapes, and quantify three key milestones: (I) Given the amplitude measured in the 12.5 yr analysis and assuming this signal is a GWB, we expect to accumulate robust evidence of an interpulsar-correlated GWB signal with 15--17 yrs of data, i.e., an additional 2--5 yrs from the 12.5 yr dataset; (II) At the initial detection, we expect a fractional uncertainty of $40\%$ on the power-law strain spectrum slope, which is sufficient to distinguish a GWB of supermassive black-hole binary origin from some models predicting more exotic origins;(III) Similarly, the measured GWB amplitude will have an uncertainty of $44\%$ upon initial detection, allowing us to arbitrate between some population models of supermassive black-hole binaries. In addition, power-law models are distinguishable from those having low-frequency spectral turnovers once 20~yrs of data are reached. Even though our study is based on the NANOGrav data, we also derive relations that allow for a generalization to other pulsar-timing array datasets. Most notably, by combining the data of individual arrays into the International Pulsar Timing Array, all of these milestones can be reached significantly earlier.<br />Comment: 15 pages, 7 figures

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2010.11950
Document Type :
Working Paper
Full Text :
https://doi.org/10.3847/2041-8213/abf2c9