In the coming decades, we will face major computational challenges, when the improved sensitivity of third-generation gravitational wave detectors will be such that they will be able to detect a high number (of the order of 7 x10(4) per year) of multi-messenger events from binary neutron star mergers, similar to GW170817. In this Perspective, we discuss the application of multimodal artificial intelligence techniques for multi-messenger astrophysics, fusing the information from different signal emissions.
Computational challenges for multimodal astrophysics
Patricelli, B;
2022-01-01
Abstract
In the coming decades, we will face major computational challenges, when the improved sensitivity of third-generation gravitational wave detectors will be such that they will be able to detect a high number (of the order of 7 x10(4) per year) of multi-messenger events from binary neutron star mergers, similar to GW170817. In this Perspective, we discuss the application of multimodal artificial intelligence techniques for multi-messenger astrophysics, fusing the information from different signal emissions.File in questo prodotto:
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