The goal of this project is to generate the light curves of RRab models using Artificial Neural Networks.
We have trained a neural network on a dataset of 268 RRab models and their light curves. The models are generated using 1D non-linear hydrodynamical pulsation code (see, Marconi et al. 2015).
More information can be found in our paper.
The downloadable link for Table 6 of the paper is available here.
Users can navigate to the Generate light curves option at the top of the website to generate I band and V band light curves of RRab stars.
To generate the light curves, users need to provide the mass, luminosity, effective temperature, X (hydrogen abundance ratio), Z (metal abundance ratio) and the period of the model.
Users can also download the light curves by clicking on the download buttons for the respective bands. To Download the light curves, users need to provide the mass, luminosity, effective temperature, X (hydrogen abundance ratio), Z (metal abundance ratio) and the period of the model in csv file format.
For any queries, please email me at niteshchandra039@gmail.com.