Clicking will select sources from the uppermost (scatter plot) layer. As an example, a 2D plot with three layers could be made of the positions of RR Lyrae in one colour, positions of all Gaia sources in another colour and a source count binned map in the background. GAVS can display multiple visualisation layers in the same window. The converse feature, clicking on a bin highlighting the corresponding stars in a scatter plot, is planned for future releases of this service. Selecting a star in a scatter plot (2D) will highlight the bin which it belongs to in a histogram (1D). Linked views between scatter plots and histograms are also offered. So a star in a plot based on radial velocities will in general exist in positional or photometric plots, but clicking on a positional or photometric plot will usually not place a marker on radial velocity based plot. As an example, there are much less stars with radial velocities (~33 million) than with positional or photometric data (over 1.5 billion). Note that not all stars appear in all plots. In GAVS, clicking on a star will also draw a marker in the other plots in which the star is visible. This simple example shows how 4 attributes (dimensions) of data for a star (and its context) can be easily perceived. HR Diagram) and highlighting or marking it in another plot (e.g. Usually this means selecting a point in one plot (e.g. One way around this problem is to have linked views of panels showing different data attributes. However, the number of dimensions that a plot can represent well is normally small. A maker signals the same star in 3 different scatter plots and highlights the bin to which it belongs in a histogram. Linked views can be seen in action in the overview figure above. These include linked viewscapabilities, the looking glassand regions buttons seen in some window bars. In addition, depending on the plot type other functionalities are available.
Dosbox emulator archive#
Instead, GAVS offers visual tools that help querying and extracting smaller subsets from the Gaia archive which can be downloaded and explored with other advanced software. Because specific pre-computations for each visualisation are necessary, not all possible views and transformations of Gaia data can be offered. This is achieved by using tricks like smart indexing of the data and pre-computing views for offering detail on demand. GAVS is designed for helping to make this information intelligible. The size and information content of Gaia archive, with almost two billion stars, can be overwhelming. The Gaia Archive Visualisation Service (GAVS) provides an interactive visual exploration environment for the Gaia ESA Archive.
Gaia Archive Visualisation Service (GAVS)
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