Gravitational-wave astrophysics with effective-spin measurements: asymmetries and selection biases
Abstract
Gravitational waves emitted by coalescing compact objects carry information about the spin of the individual bodies. However, with present detectors only the mass-weighted combination of the components of the spin along the orbital angular momentum can be measured accurately. This quantity, the effective spin , is conserved up to at least the second post-Newtonian order. The measured distribution of values from a population of detected binaries, and in particular whether this distribution is symmetric about zero, encodes valuable information about the underlying compact-binary formation channels. In this paper we focus on two important complications of using the effective spin to study astrophysical population properties: (i) an astrophysical distribution for values which is symmetric does not necessarily lead to a symmetric distribution for the detected effective spin values, leading to a \emph{selection bias}; and (ii) the posterior distribution of for individual events is \emph{asymmetric} and it cannot usually be treated as a Gaussian. We find that the posterior distributions for systematically show fatter tails toward larger positive values, unless the total mass is large or the mass ratio is smaller than . Finally we show that uncertainties in the measurement of are systematically larger when the true value is negative than when it is positive. All these factors can bias astrophysical inference about the population when we have more than events and should be taken into account when using gravitational-wave measurements to characterize astrophysical populations.
Keywords
Cite
@article{arxiv.1805.03046,
title = {Gravitational-wave astrophysics with effective-spin measurements: asymmetries and selection biases},
author = {Ken K. Y. Ng and Salvatore Vitale and Aaron Zimmerman and Katerina Chatziioannou and Davide Gerosa and Carl-Johan Haster},
journal= {arXiv preprint arXiv:1805.03046},
year = {2018}
}
Comments
An online generator for synthetic $\chi_{\mathrm{eff}}$ posteriors can be found at: http://superstring.mit.edu/welcome.html Comments are welcome