
This hands-on tutorial demonstrates the main capabilities of TOPCAT in a real science case. Across the tutorial, it is explored the use of catalogues, cross-match tables, filtering, subsets, and graphics. A reliable estimate of the distance to Pleiades open cluster is determined. In this version, a tutorial in Jupyter notebook is also provided.
TOPCAT, Tutorial, Virtual Observatory, Hands-on
TOPCAT, Tutorial, Virtual Observatory, Hands-on
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
