Markus Bachlechner
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View article: Gravity-Gradient Noise Mitigation via Deep Learning for the Einstein Telescope
Gravity-Gradient Noise Mitigation via Deep Learning for the Einstein Telescope Open
As the first gravitational wave observatory of the third generation, the future Einstein Telescope (ET) aims to improve current sensitivities by at least one order of magnitude over the whole detection band. Specifically, in the low-freque…
View article: Partition Pooling for Convolutional Graph Network Applications in Particle Physics
Partition Pooling for Convolutional Graph Network Applications in Particle Physics Open
Convolutional graph networks are used in particle physics for effective event reconstructions and classifications. However, their performances can be limited by the considerable amount of sensors used in modern particle detectors if applie…