Data for "Superphot+: Real-Time Fitting and Classification of Supernova Light Curves"

This is the dataset and static code base associated with the paper: "Superphot+: Real-Time Fitting and Classification of Supernova Light Curves". The contents are as follows: superphot-plus-v0.0.7.tar: Superphot+ code base downloaded at time of paper submission. Static copy of the Github repo: https://github.com/VTDA-Group/superphot-plus dataset_spec_pruned.csv: Spectroscopic dataset pruned according to Table 1 of the paper. dataset_phot_final.csv: Photometric dataset (without spectroscopic labels) pruned according to Section 2 of the paper. Label and probability columns are values from the ALeRCE-SN classifier. model_0.pt: One of the 10 (redshift-independent) LightGBM models trained for 5-way SN classification. model_0.yaml: Configuration file associated with model_0.pt. model_z_0.pt: Same as model_0.pt, but trained using redshift information. model_z_0.yaml: Configuration file associated with model_z_0.pt. early_phase_classifier_0.pt: Same as model_0.pt, but trained only using early-phase light curve features. Tailored for realtime classification. early_phase_classifier_0.yaml: Configuration file for early_phase_classifier_0.pt. probs_concat.csv: Spectroscopic set's classification results without using redshift information. probs_z_concat.csv: Spectroscopic set's classification results using redshift information. probs_photometric.mrt: Superphot+'s probabilities for the photometric set without using redshift information.