Speaker
Description
The search for EMRIs is hindered by two main problems, the extremely
compact posterior and the degenerate parameter space with numerous
secondary peaks. This talk addresses the former by demonstrating a
complete search pipeline for stellar-mass binary inspirals; these systems
exhibit similarly compact posteriors. While the stellar-origin binaries
are an important LISA source in their own right, these signals are also a
good testing ground for the development of EMRI search algorithms. We
present results from the first full search pipeline for stellar mass
binary inspirals in LISA data, which is also capable of dealing with data
gaps and cyclo-stationary noise. The results of applying this search to
the LISA data challenge “Yorsh” are presented, with associated false alarm
probabilities for each detected source. A time-frequency approach is used
to significantly reduce the cost of the search; full searches over
parameter space can be completed within a week. I will also discuss how
this approach can be adapted for the EMRI search.
