  We develop a method for planet detection in transit data, which is based on
the Matched Filter technique, combined with the Gaussianization of the noise
outliers. The method is based on Fourier transforms and is as fast as the
existing methods for planet searches. The Gaussinized Matched Filter (GMF)
method significantly outperforms the standard baseline methods in terms of the
false positive rate, enabling planet detections at up to 30 % lower transit
amplitudes. Moreover, the method extracts all the main planet transit
parameters, amplitude, period, phase, and duration. By comparison to the state
of the art Gaussian Process methods on both simulations and real data we show
that all the transit parameters are determined with an optimal accuracy (no
bias and minimum variance), meaning that the GMF method can be used both for
the initial planet detection and the follow-up planet parameter analysis.
