Other and Advanced Data Access Scenarios: GDAS-OA
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USECASE	 
	GDAS-OA-15	

SCENARIO
	I want to do rare object detection on the entire Gaia catalogue. Two possibilities: (1) I wish to find the (say) 0.01% of all objects (=>10^5 objects, call this number X) which have the highest/lowest value of some metric defined on the Gaia data. For example, this might be the X coolest stars, the X nearest/fastest relative to the Sun, or the X stars nearest to the Galactic centre (say) with extinctions less than (say) 1 magnitude where the extinction errors are also less than 0.1 mag. (2) like (1), but not fixing X but rather finding all objects which have a value of the metric above (or below) some threshold 		

CONTRIBUTOR
	Coryn Bailer-Jones
	
QUERY
  Billomat-Anfragen einfach:

	select * from gums.quasars order by redshift desc limit 100

  Volles Data-Mining: Eher zu viel für ADQL, ggf. user defined funcitons.

FEASIBLE WITH VO-TOOLS?
	WAHR

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USECASE						
	GDAS-OA-18	

SCENARIO
Use standard analysis and visualisation tools Aladin, Topcat, IDL, Python and compare Gaia data with data available in VO standard. 	Commentary: It should be possible to stream data directly to analysis and visualisation tools (Aladin, Topcat, IDL, Python). VO protocols like TAP and SAMP should be supported and it would be ideal if the Gaia data itself would be accessible in VO standard formats. It is possible that new VO standards have to be defined for such tasks. 	

CONTRIBUTOR
	Gabriel Stoeckle, Stefan Jordan, Markus Demleitner
	
QUERY	
	 Performance needs to be tested, 
	 	QSO: very fast
		MW: several minutes to get all objects (2 mio)"	

FEASIBLE WITH VO-TOOLS?
	WAHR