Context

The first detection of a gravitational wave in 2015 by the LIGO collaboration profoundly expanded our understanding of the universe. This groundbreaking discovery required a multidisciplinary effort, combining high-precision interferometers and sophisticated data analysis tools. The high sensitivity of these instruments necessitates extremely precise modeling of the expected gravitational wave signals.

To date, LIGO-Virgo has detected around 90 black hole collisions. In the coming years, this number is expected to increase rapidly, along with the need to model these events and other potential sources of gravitational radiation. Astrophysical models are used to predict the frequency of these events and estimate their properties by simulating the evolution of large populations of stars and black holes that can form binary systems. These models also allow us to study the different formation channels of these binaries. Additionally, to efficiently model the gravitational waves emitted by a binary, approximate perturbative models are used to analytically characterize the properties of the signal. Finally, these waveform models are employed in data analysis to detect correlations with experimental data, enabling both the detection of gravitational waves and the Bayesian estimation of the physical properties of their sources.

Infrastructure

The event is supported by the National Laboratory for High Performance Computing (NLHPC), which will provide computer infrastructure as well as as well as specialized advice to help our instructors conduct both theoretical and practical sessions.

This event uses resources and services provided by the National Laboratory for High Performance Computing (NLHPC).