Conveners
Modelling and Data Analysis
- Helios Vocca (Università di Perugia)
Description
-
Alessandro Kotchian (INFN Perugia, Univ. Perugia)16/05/2026, 09:00Oral presentation
In this project will be presented the implementation of deep reinforcement learning for seismic noise attenuation in gravitational-wave detectors.
Go to contribution page
From the creation of the envirorment to the training of agents for the stabilization of mirror. -
Greta Tosti16/05/2026, 09:20Oral presentation
This project simulates the quantum noise of gravitational wave interferometric detectors in different configurations: no squeezing injection, frequency independent squeezing and frequency dependent squeezing (with filter cavity). Key features: implementation of substrate losses, intra-cavity arm losses and EPR squeezing injection.
Go to contribution page -
Mateusz Bawaj (University of Perugia)16/05/2026, 09:40Oral presentation
Quantum noise reduction techniques are key to improving gravitational-wave detector sensitivity, yet their design involves tightly coupled parameters typically tuned via skilled human designer.
We propose an end-to-end differentiable programming framework in which the quantum noise reduction chain is modelled as a parametrized simulator, enabling direct computation of gradients of...
Go to contribution page