helenqu/astro-classification-redshifts

AstroClassification and Redshifts Datasets

This dataset was used for the AstroClassification and Redshifts introduced in Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations. This is a dataset of simulated astronomical time-series (e.g., supernovae, active galactic nuclei), and the task is to classify the object type (AstroClassification) or predict the object's redshift (Redshifts).

• Repository: https://github.com/helenqu/connect-later
• Paper: will be updated
• Point of Contact: Helen Qu (helenqu@sas.upenn.edu)

Dataset Structure

• object_id: unique object identifier
• times_wv: 2D array of shape (N, 2) containing the observation times (modified Julian days, MJD) and filter (wavelength in nm) for each observation, N=number of observations
• lightcurve: 2D array of shape (N, 2) containing the flux (arbitrary units) and flux error for each observation
• label: integer representing the class of the object (see below for details)
• redshift: redshift of the object

Dataset Creation

Source Data

This is a modified version of the dataset from the 2018 Photometric LSST Astronomical Time-Series Classification Challenge (PLAsTiCC) Kaggle competition The original Kaggle competition can be found here. This note from the competition describes the dataset in detail. Astronomers may be interested in this paper describing the simulations used to generate the data.

• Train: 80% of the original PLAsTiCC training set augmented using the redshifting targeted augmentation described in the Connect Later paper
• Validation: Remaining 20% of the original PLAsTiCC training set, not augmented or modified
• Test: Subset of 10,000 objects randomly selected from the PLAsTiCC test set

Object Types

 0: microlens-single
 1: tidal disruption event (TDE)
 2: eclipsing binary (EB)
 3: type II supernova (SNII)
 4: peculiar type Ia supernova (SNIax)
 5: Mira variable
 6: type Ibc supernova(SNIbc)
 7: kilonova (KN)
 8: M-dwarf
 9: peculiar type Ia supernova (SNIa-91bg)
 10: active galactic nuclei (AGN)
 11: type Ia supernova (SNIa)
 12: RR-Lyrae (RRL)
 13: superluminous supernova (SLSN-I)
 14: 5 "anomalous" types that are not present in training set: microlens-binary, intermediate luminosity optical transient (ILOT), calcium-rich transient (CaRT), pair instability supernova (PISN), microlens-string

Citation

will be updated