An optimized search for exoplanets with Kepler data

Abstract

The search and detection of extra-solar planets (exoplanets) have considerably improved over the past few decades. The launch of space observatories dedicated to exoplanets such as the Kepler mission and the wealth of publicly available data call for the development of efficient search methods. Here we present a search technique with a Graphical User Interface (GUI) to detect true exoplanets signals from Kepler data and filter out false ones using the optimal Box-fitting Least Squares (BLS) algorithm. The algorithm is used to detect transiting exoplanets from their light curves through searching for periodic flux variability of the host star. We present the results of the search to some Kepler catalog objects.