Green Catalog: 295 Galactic Supernova Remnants (June 2017 Version)
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Description
The Milky Way galaxy is covered by this catalog of 295 known supernova remnants, compiled by D.A. Green and updated to include results published through the end of 2016. The June 2017 version provides basic summary data for each remnant, including designation, position, size, type, and radio flux. NASA's HEASARC ingested this version in July 2017, based on the CDS Catalog VII/278.
Use Cases
Statistical analysis of remnant properties like size and spectral index based on the listed parameters.
Cross-matching and identification of astronomical objects based on the provided designations and alternative names.
Studying the distribution and evolution of supernova remnants in the Galaxy based on their positions and types.
Investigating selection effects in SNR discovery as cautioned in the catalog notes.
Strengths
Contains 295 distinct supernova remnants, providing a substantial sample for study.
Based on literature results up to the end of 2016, offering a snapshot of contemporary knowledge.
Includes multiple parameters per remnant: position, angular size, type, flux density, and spectral index.
Limitations
The description notes serious selection effects apply to SNR identification, which may bias statistical studies.
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Provenance
Source
National Aeronautics and Space Administration (NASA HEASARC), based on D.A. Green's catalog series and CDS Catalog VII/278.
Collection Method
Compilation from published scientific literature up to the end of 2016.
Time Range
Catalog version reflects knowledge up to 2016; data ingested by HEASARC in July 2017.
Freshness
Last updated 2026-03-13 17:47:08.382206; freshness should be verified.
Geography
Galactic (Milky Way galaxy).
License is listed as 'other-license-specified'; users should verify terms. The catalog notes that care should be taken if the data are used in any statistical studies due to selection effects.