Characterization of a phase camera for the Virgo gravitational wave detector

Gravitational waves predicted by Einstein have been measured in a few observatories worldwide. These detectors are complex interferometers with sizes of kilometers. Misalignments and aberrations in their optical set-up can create higher-order modes in the laser beam. These higher-order mode effects should be compensated to improve the...

Ultra low latency deep neural network inference for gravitational waves interferometer: *

Low latency Convolutional Neural Network (CNN) inference research is gaining more and more momentum for tasks such as speech and image classications. This is because CNNs have the ability to surpass human accuracy in classication of images. For improving the measurement setup of gravitational waves, low latency CNNs inference are researched. The...

Instruments for seismic isolation: Improving performance of advanced displacement and inertial sensors for active suppression of seismic noise in Gravitational Wave detectors

Laser interferometric Gravitational Wave telescopes are limited in sensitivity by seismic noise in the low frequency region (below a 10 Hz). The aim of this research is to improve performance of an advanced displacement sensor and an ultra-low noise inertial sensor, that can help measuring and correcting for seismically induced motion of the GW...

Exploring Gravitational Waves Recordings with Machine Learning Techniques

The study of Gravitational Waves (GWs) opened a new window of possibilities to improve our understanding of the Universe. GWs provide suitable astronomical messengers for studying events that were not possible before through electromagnetic radiation, or in other cases complementing their observations. Ground-based interferometers like LIGO have...