astrodata

Variable stars statistics

Bar charts with numbers of variable stars types in the General Catalog of Variable Stars (GCVS): Numbers of most common variable stars types in the current version of the GCVS Data source: General Catalog of Variable Stars, latest version, Code: Jupyter Notebook for plotting this chart.

See also Numbers of most common variable stars types in the GCVS; Data source: General Catalog of Variable Stars (Samus+, 2007-2017), vartype.txt. Code: python script with data for plotting this charts

Numbers of most common variable stars types in the current version of the VSX Data source: The International Variable Star Index (Watson+, 2006-2007), Code: Jupyter Notebook for plotting this chart Numbers of variable stars types discovered in Vorobyevy Gory Data source: Переменные звезды, открытые учениками ГБПОУ Воробьевы горы Numbers of most common variable stars types in the current versions of the GCVS and VSX Code: Jupyter Notebook for plotting this charts Numbers of variable stars in the GCVS, from the first edition Numbers of variable stars, SNe and transients Data source: The International Variable Star Index (Watson+, 2006-2007). Code: python script with data for plotting this charts

Milky Way Clusters

Most common types of discovered variable stars in Milky Way clusters from the current version of the GCVS See also results of cross-matching of clusters members with VSX variables and versions with other cross-matching radius. All known clusters in distance-age space Data source: Improving the open cluster census. II. An all-sky cluster catalogue with Gaia DR3, VizieR Online Data Catalog. Hunt+, 2023. See also Ruprecht 147: The Oldest Nearby Open Cluster as a New Benchmark for Stellar Astrophysics. Code: python script and Jupyter Notebook for plotting this chart

Supernovae and other transients observations

History of supernovae observations by year Code: python script with data for plotting this charts
Cumulative number of supernovae
History of transient observations by year from Transient Name Server Data sources: David Bishop, Latest Supernovae Archives, Transient Name Server stats, Central Bureau for Astronomical Telegrams List of SNe. Data as JSON. Code: python script with data for plotting this charts. Displaying data in html page using JavaScript

Gamma-ray bursts observations

Number of gamma-ray bursts which have been localized within a few hours to days to less than 1 degree Gamma-ray bursts localized within a few hours to days to less than 1 degree: chart with number of optical afterglows Data source: Jochen Greiner; GRBs localized within a few hours to days to less than 1 degree, data as JSON.
Code: python script with data for plotting this charts.
Displaying this data in html page using JavaScript

Image optimization applied

For all stars related code see this directory

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