ISS-Sci - ISS LISA Science Group
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Other research activities of the group, both within LISA Mission Consortium and for future gravitational-wave observatories, include:
• Simulating the astrophysical processes that generate gravitational waves to determine the requirements for the detection equipment.
• Developing catalogues of black holes masses to estimate the number of events that could be detected by the LISA mission.
• Developing machine-learning based low-latency pipelines for LISA and other future gravitational wave observatories on space qualified hardware such as GPUs and FPGAs, to test the advantages of a possible on-bord data analysis
• Developing quantum machine-learning based low-latency pipelines for LISA and other future gravitational wave observatories.
Low-Latency Pipelines for LISA Mission
Currently, our main activity in Our main task related to LISA Mission Consortium is to develop artificial intelligence based low-latency pipelines for fast processing and characterization of the signals detected by LISA. This can be use to generate low-latency alerts for other space or Earth observatories in the context of multi-messenger observations.
For this, we are developing GWEEP (short for “Gravitational Waves Data Analysis Using Deep Learning”). GWEEP is a deep learning based toolkit
for gravitational wave data analysis. It consists of a
collection of neural networks and gravitational wave data processing modules that work together to
detect and characterize gravitational waves from LISA-like data.
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