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Computational challenges for multimodal astrophysics

delete2022-08-22
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PRE
AI
E
E. Cuoco *
B
B. Patricelli
A
A. Iess
F
F. Morawski
DOI:10.1038/s43588-022-00288-zdelete
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Abstract

Abstract

En 中文
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.
Keywords:
ELECTROMAGNETIC COUNTERPART
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Journal

Nature Computational Science cover
Nature Computational Science
IF:
18.3
Papers:
3.1K
Citations:
4.0K

Organization

I
istituto nazionale di fisica nucleare (infn)
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3.0W
Papers: 1.2W
Citations: 14
S
scuola normale superiore di pisa
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2.8K
Papers: 3.1K
Citations: 2
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