Chung-Kai Huang (NCU/ASIAA); Matthew Lehner (ASIAA/UPenn/CfA); Á. Paula Granados C. (ASIAA); Zhi-Wei Zhang (ASIAA); Wen-Ping Chen (NCU); Shiang-Yu Wang (ASISS)
Transneptunian Automated Occultation Survey II (TAOS II) project aim of detect Trans-Neptunian Objects (TNOs) with diameters in the range of 0.3 < D < 30 km. Since TAOS II three telescopes are separated widely and equipped the higher cadence CMOS sensor than TAOS I, the light curve simulator of TAOS I is inadequate for the needs of TAOS II. We base on original TAOS I simulator, the additions to the software package are append to the simulator, including the positions of three telescopes, the elevation and azimuth of the target star and the direction of the vector of the relative velocity between the TNO and observer. TAOS II will observe as many as 10,000 stars with three telescopes simultaneously, this will produce up to 70 million individual light curves. A very fast analysis pipeline for event detection and characterization is needed to handle this massive data set. The pipeline should be capable of real time detection of events (real time meaning within 24 hours of observations) for followup observations of any occultations by larger TNOs, and should be scalable for large simulations where many simulated events are added to the observed light curves to measure detection efficiency and biases in event characterization. We are showing how the pipeline detect and characterize the event by trigger algorithm and parameterization. With this pipeline, we may able to constrain the size and distance of TNOs with observed occultation light curve.