First machine learning gravitational-wave search mock data challenge

HIGHLIGHTS

SUMMARY

There is also ongoing research into using neural_networks to discover closed form expressions from raw data or optimizing machine_learning algorithms to take advantage of physical symmetries of the underlying problem. More relevant to this work, machine_learning algorithms have also started to be explored as alternative algorithms for many GW data-analysis tasks. Many of the works considering the usage of machine_learning for GW signal detection are difficult to cross compare. To achieve the goal of an objective characterization of machine_learning GW search capabilities, a common ground for comparison is required. The authors want to . . .

 



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