Global Optimization for Future Gravitational Wave Detectors' Sites
Yi-Ming Hu, Peter Raffai, Laszlo Gondan, Ik Siong Heng, Nandor, Kelecsenyi, Martin Hendry, Zsuzsa Marka, Szabolcs Marka

TL;DR
This paper presents a comprehensive optimization method for selecting sites of future gravitational wave detectors, considering all detector locations simultaneously to maximize network performance and flexibility.
Contribution
It introduces a general optimization framework allowing all detector locations to be chosen simultaneously, improving upon previous limited approaches.
Findings
Australia is the top candidate site for future detectors based on flexibility index.
For 3-detector networks, Northern Europe and Australia are comparable.
Australia remains the best site for 5-detector networks.
Abstract
We consider the optimal site selection of future generations of gravitational wave detectors. Previously, Raffai et al. optimized a 2-detector network with a combined figure of merit. This optimization was extended to networks with more than two detectors in a limited way by first fixing the parameters of all other component detectors. In this work we now present a more general optimization that allows the locations of all detectors to be simultaneously chosen. We follow the definition of Raffai et al. on the metric that defines the suitability of a certain detector network. Given the locations of the component detectors in the network, we compute a measure of the network's ability to distinguish the polarization, constrain the sky localization and reconstruct the parameters of a gravitational wave source. We further define the `flexibility index' for a possible site location, by…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
