Gravitational-Wave Research Seminar

A prototype data analysis framework for the millihertz gravitational-wave detector LISA is required within the next five years. Resolving and characterizing signals in LISA data will be computationally challenging, even with the best modeling and inference methods that are projected to be available. This is due to the numerous overlapping signals in the data, the high information content in certain source signals, and the requisite modeling accuracy for such sources. In this talk, I first provide a brief update on the LISA mission, and summarize the pertinent features of LISA data analysis. I then outline several promising strategies for streamlining the model-to-inference process, both in general and with focus on the class of source we are presently least equipped to deal with: extreme-mass-ratio inspirals.