Speaker
Gianluca Inguglia
(MBI Vienna)
Description
We present an anomaly detection algorithm based on a deep convolutional autoencoder. The algorithm, initially developed with a focus on the Einstein Telescope, was adjusted to the higher noise levels of the LIGO detectors, implementing coherence, trained and validated using O3 data, and tested on publicly available O4 data. We achieve an excellent recovery rate for short, loud signals and compare our results with those of other unmodeled pipelines. We will also discuss the plans for possible deployment during future observing runs.
Author
Gianluca Inguglia
(MBI Vienna)
Co-authors
Huw Haigh
(MBI Vienna)
Ulyana Dupletsa
(MBI Vienna)