SEZIONE DI FERRARA
The search for gravitational wave signals in the data collected by the current ground-based interferometers is a complex problem, especially when only one detector is operating. Modern deep learning approaches may contribute to find a solution. I'll discuss the gravitational-wave events detection problem, and present recent works related to signal detection and noise removal (''de-noising''), where we have investigates performance of various neural networks architectures for classification and auto-encoding, focusing on designs to process time-series data. Last but not least, I will show results from real LIGO-Virgo data, and discuss possibilities of detecting new gravitational events using these methods. Seminario per studenti/dottorandi/assegnisti e ricercatori

DATA: 19-03-2024

Sito Collegato : https://agenda.infn.it/event/38805/