RanDOM ForEST In Classification of CATaclysmic variables and Supernovae (DOMESTIC CATS) is a model trained with data from ZTF that is availble as little as a day after the detection of an event to classify supernovae and cataclysmic variables at early times specifically designed for the Young Supernovae Experiment (YSE).
By entering the object ID of an event from YSE, DOMESTIC CATS will predict whether that object is more likely a supernova or cataclsymic variable.
- Run main.py
For a Single Inquery:
- Upon the prompt to select single object or file, enter
object - Input the object ID of the event and run
For a Multiple Inqueries:
- Upon the prompt to select single object or file, enter
file - Load the object IDs into a .csv in the directory "Data_Input"
- Input the directory name and run