Ligo (Laser interferometer gravity-wave observation) is a detector complex that records gravity waves, for example black holes in the collision of large space objects in the United States, in the United States. The observatory uses two four kilometers of interferometers in Washington and Louisian states.
The new method based on machine education allows you to automatically define environmental conditions that affect the operation of detectors. For example, earthquakes, soil fluctuations and even ocean waves can make noise to the data and reduce the accuracy of measurements. Now a special algorithm will be able to recognize such parasites and minimize the effects of engineers.
As one of the leading researchers points out, Professor Jonathan Richardson does not require preliminary marking by a new technology. The algorithm independently analyzes information and defines hidden patterns.
Developers hopes that their vehicles will improve their LIGO business and contribute to more discovery in the astrophysics. In addition, the method can be applied in other fields, for example, when analyzing data from large particle accelerators or complex industrial systems.
Source: Ferra
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