Speaker
Description
We have developed a pipeline package (1) to generate simulated and (2) to classify stellar light curves. The simulator considers stellar brightness, period if any, and variation amplitude, and also realistic factors such as noises and observing duty cycles. The second module, the classifier, takes in a light curve, either a simulated one or from an actual observed dataset, to categorize it into a pre-defined variability type, such as a pulsating, eclipsing, eruptive, or irregular variable. More than a coding exercise, the simulator to provide a training set to quantify the accurate rate of the classifier. We expect to expand the classifier to a machine-learning platform to analyze future large sky survey databases. This is a part of the Taiwan Top Science Student (TTSS) Project.
| Participate the oral/poster presentation award competition | Yes |
|---|