Pan-STARRS1 Supernova Light Curves for Photometric Classification

5,243 supernova-like light curve files from the Pan-STARRS1 Medium Deep Survey, released on Zenodo. The data is associated with the SuperRAENN classification pipeline paper and spectroscopic classifications are available in referenced papers. The dataset is formatted for use with the SNANA software package.

Use Cases

• Training semi-supervised photometric classification models based on light curve data.
• Validating supernova classification algorithms using the provided spectroscopic labels.
• Studying the properties of supernova light curves from the Pan-STARRS1 survey.
• Benchmarking time-series analysis methods for astronomical transient detection.

Strengths

• Contains 5,243 individual light curve files, providing a substantial sample for analysis.
• Includes associated spectroscopic and photometric classifications from published papers (Villar et al. 2020, Hosseinzadeh et al. 2020).
• Data is formatted for the SNANA software, a standard tool in supernova analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count per light curve file is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Pan-STARRS1 Medium Deep Survey, processed by authors of the SuperRAENN paper.

Collection Method

Observational data from the Pan-STARRS1 telescope, released as a Zenodo data package.