RTModel


What is RTModel
RTModel is a computer platform developed by Valerio Bozza for the analysis and interpretation of interesting microlensing events in real time. It is based on the VBBinaryLensing contour integration code publicly available here. A public version of RTModel is now also available for download on Github This platform works in strict conjunction with ARTEMIS, the system created by Martin Dominik et al. in St. Andrews University, Scotland. The working flow is as follows:
Events modeled in the following years are available: The index pages contain the list of events modeled in the corresponding year, sorted by category. Clicking on any of the icons, the respective event page opens, with a list of possible models. For each model, the chi square is displayed along with the blending fraction g (ratio of the background to the source flux), and the parameters of the model. In particular  u_{0}
is the impact parameter of the source trajectory to the
center of mass The source position is thus given in parametric form by y_{1} = u_{0}*sin(θ)
 (tt_{0})/t_{E}*cos(θ) The first lens has mass 1/(1+q). The second has mass q/(1+q). They both lie on the y_{2} = 0 axis. Their positions are y_{1(M1) }=  sq/(1+q) For models including parallax, the two components of the parallax vector are given in the NorthEast directions. The magnitude of the parallax vector is given by the ratio of the astronomical unit and the Einstein radius projected to the observer plane. If available, the light curve as would be seen by Spitzer is displayed in red, the light curve as seen by Kepler is displayed in blue, and that as seen by Gaia in green. For models with orbital motion, the orbit is assumed to be circular. The three components of the orbital velocity are expressed in terms of (ds/dt)/s, dθ/dt and (ds_{z}/dt)/s. Errors in all models are obtained by inverting the Fisher matrix and normalizing by requiring a 10% increase in the chi square at the extrema of the uncertainty range. Residuals in the plots are already normalized by the respective error bars. For all use of these models and for any questions, please inquire Valerio Bozza 