Unmodeled search for black hole binary systems in NINJA
Laura Cadonati, Shourov Chatterji, Sebastian Fischetti, Gianluca Guidi, 
Satya Mohapatra, Riccardo Sturani, Andrea Vicere'

The gravitational wave signature from binary black hole coalescences is
a golden target for LIGO and Virgo.
Over the past year, the NINJA project brought together the numerical
relativity and gravitational wave data analysis communities and
produced, in its first project, a simulated data set with numerical
waveforms from black hole coalescences with various morphologies (spin,
mass ratio, initial conditions), superimposed to gaussian, colored noise
at the design sensitivity for initial LIGO and Virgo.
We analyzed this simulated data set with the Qpipeline burst algorithm.
This code, designed for the all-sky detection of gravitational wave
bursts, filters the data with a bank of sine-gaussians (sinusoids with
gaussian envelope), and does not make assumptions on the waveform
morphology. We present the results of this study and compare the
observed performance in parameter estimation to that of matched
filtering to ringdown templates.