Speaker: Jun'ichi Yokoyama

Title: Toward removing nonlinearly coupled noises in gravitational-wave detection:
machine learning? manual learning??

Abstract: Recently we have found an optimal method to remove linearly coupled
noises in gravitational wave strain data using physical environmental channels.
The next task is to remove nonlinearly coupled ones. I will introduce previous
attempts in LIGO and Virgo, some of which use machine learning, as well as
future attempts in KAGRA.

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Last-modified: 2020-04-30 (木) 14:55:30 (64d)