Poster abstract details

Since 1995, many exoplanets have been discovered using different techniques. One of them is the planetary transits method, which is used by CoRoT and Kepler space telescopes. More recently, the search for moons around these exoplanets has began. The detection of these exomoons is of great importance, both from the exobiological point of view as exomoons orbiting habitable exoplanets are also habitable environments, and also from planetary formation theories and models. In this work, we search for moons orbiting exoplanets using data from CoRoT and Kepler space telescopes. For this purpose, we developed a program in IDL that selects the best candidates in an automated way from the light curves. The main signatures that the program seeks are changes in transit central time and duration (TTV and TDV effects, respectively), caused by the movement of the planet around the planet-moon barycenter, and also light curve distortions, caused by the moon transit in front of the host star, which may occur in different positions in each transit. If these signatures are identified, the planets are fitted using a previously developed model to confirm and measure the satellite parameters. The simultaneous identification of the effects of temporal variations and photometric signatures allows measurement of the radius, mass, and orbital period of the moon. Beside exomoons, we are also looking for planetary rings, as our model has the capability of simulating these events too.