Poster title: Planetary Transit Signal Analysis using Gaussian Processes

Poster abstract: I present a new planetary transit fitting software for Python called Bayesian Analysis of Transit SIGNAL 
(BATSIGNAL). It uses the BAsic Transit Model cAlculatioN (BATMAN), Markov chain Monte Carlo methods (emcee), and 
Gaussian process regression (George) to accurately determine the parameters of a planetary system. The program 
considers priors in the estimations of: the ratio of the stellar and planetary radii, limb darkening coefficients, time of mid-
transit, period, scaled semi-major axis, inclination, eccentricity, and periastron longitude. The user-friendly software fits 
for any to all of these parameters, and can fit multiple transits of a planet simultaneously. The addition of the Gaussian 
process regression accounts for correlated red noise in a way that no other transit analysis software does, while its 
speed is still comparable to more widely used programs such as TAP in IDL and  JKTEBOP in FORTRAN.