this is for holding javascript data
Christopher Berry Up to introduction of bayestar
about 9 years ago
Commit id: 25caa120abd61b80b77d9823befa41443bccb7dd
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Having discussed how GW observations can measure the intrinsic properties of their source systems, we now consider the measurement of extrinsic parameters such as source location. On their own, these are not useful for understanding the physics of compact objects, but they are central to the success of multimessenger astronomy.
We characterize sky localization using credible
regions (CRs), regions, the smallest sky area that encompasses a given total posterior probability. The
CR credible region for a total posterior probability $p$ is defined as
\begin{equation}
\mathrm{CR}_p = \underset{A}{\arg\!\max} \int_A \mathrm{d}\boldsymbol{\Omega} P_{\Omega}(\boldsymbol{\Omega}),
\label{eq:CR}
\end{equation}
where $P_{\Omega}(\boldsymbol{\Omega})$ is the posterior
probability density PDF over sky position $\boldsymbol{\Omega}$, and $A$ is the sky area integrated
over. over \citep{Sidery_2014}. We also consider the searched
area, area $A_\ast$, the area of the smallest
CR credible region that includes the true location.
For electromagnetic observatories to be able to conduct follow-up of a GW detection, they need an accurate sky location. This must be provided promptly, while there is still a visible transient. The full spinning PE is computationally expensive and so slow to compute. There are alternative methods that can provide sky localization more quickly. The most expedient is \textsc{bayestar}, this uses output from the detection pipeline to rapidly compute sky position \citep{Singer_2014}.