Seminar Details
2024-11-05 (14h) : Addressing data analysis challenges in next-generation gravitational-wave detectors
At Euler building (room A.002)
Organized by Mathematical Engineering
Speaker :
Justin Janquart (UCLouvain,IRMP)
Abstract :
The first detection of a gravitational wave signal in 2015 led to the opening of a new observational window on the Universe. Since then, several detector upgrades have been made, leading to more routine detections with a rate of one to a few events a week currently. To continue increasing the number of detected signals and the observational accuracy, the next generation of gravitational wave detectors is planned with Einstein Telescope in Europe and Cosmic Explorer in the United States. These detectors will see tens to hundreds of thousands of gravitational wave signals, and some will be extremely loud. This will lead to interesting new scientific avenues such as, for example, unprecedented tests of general relativity, the possibility to probe the Universe at unprecedented cosmic scales, and look for potential dark matter candidates. However, these improvements come with a cost: the data analysis systems will be challenged due to overlapping signals, strong astrophysical stochastic backgrounds, and the lack of time to characterize the noise, amongst other things. Here, I explain how these problems arise, what could be their effect if not correctly accounted for, and some of the avenues that have been explored in recent years.