  Extreme mass ratio inspirals (EMRIs) (capture and inspiral of a compact
stellar mass object into a Massive Black Hole (MBH)) are among the most
interesting objects for the gravitational wave astronomy. It is a very
challenging task to detect those sources with the accurate estimation
parameters of binaries primarily due to a large number of the secondary maxima
on the likelihood surface. Search algorithms based on the matched filtering
require computation of the gravitational waveform hundreds of thousands of
times, which is currently not feasible with the most accurate (faithful) models
of EMRIs. Here we propose to use a phenomenological template family which
covers a large range of EMRIs parameter space. We use these phenomenological
templates to detect the signal in the simulated data and then, assuming a
particular EMRI model, estimate the physical parameters of the binary. We have
separated the detection problem, which is done in a model-independent way, from
the parameter estimation. For the latter one, we need to adopt the model for
inspiral in order to map phenomenological parameters onto the physical
parameter characterizing EMRIs.
