Within this use case you recognize a physical association of stars
close in space as opposed to a superpositon created by projection
effects of stars very far one from the others. The key measure is
distance derived from parallax. With the true members of the
association (open cluster) you create a Herzsprung-Russell diagram as
in the tutorial “the stars” (ivo://edu.gavo.org/eurovo/aida_stars).
The Herzsprung-Russell diagram of stellar clusters is very important
because of the low noise of few unrelated stars.
If used in the classroom this advanced use case requires a reasonable
understanding of histograms and bidimensional scatter diagrams. It is
also rather long to perform from beginning to end.
Within this use case you discover the shapes of galaxies and their
classification according to the Hubble diagram. You are offered
sequences of galaxies with different morphologies and are asked to
order them. The morphological classification of galaxies is still in
use even if we have discovered that the Hubble diagram "per se" has no
direct physical or evolutionary meaning. Besides introducing the main
shapes of galaxies, the use case offer a demonstration of the
classification process, a fundamental tool of astronomers.
The Earth rotates around its polar axis and orbits around the Sun:
the sky above us (the celestial sphere) is in constant apparent
motion. Stellarium is the perfect tool to demonstrate the motions of
the sky, the use of coordinates and to illustrate constellations.
Stars have different colors and luminosities. Following this tutorial
we will learn what star luminosity and color are, and which
information about stellar evolution we can obtain from them.
This tutorial will show how tabular data can be easily transferred
from Topcat to Aladin or the other way, and it will illustrate the
benefits of this inter-client communication for VO users. This is
shown with a quick look at filtering members of the Coma Cluster from
SDSS.
This tutorial is a dense course through the advanced functions of
TOPCAT and STILTS. It covers detailed information of how to use TOPCAT
and STILTS to find data in the VO, access them, perform crossmatches
and how to do visualisations.
This is a course on using the Virtual Observatory (VO), an
international research data infrastructure in Astronomy and
Astrophysics. Starting with a brief discussion of some general
concepts, it introduces some of the major client programs like TOPCAT
and Aladin, together with some simple discovery protocols. A first
focus topic is the query language ADQL, which is treated within the
equivalent of three lectures. The second major focus of the course is
the premier Python interface to the VO, pyVO, which is used to also
more deeply investigate the topics treated before. The course is
complemented by a number of side tracks, brief discussions of more
fundamental or more specialised VO topics.
The course comes with many exercises, most of which also have
solutions. We hope it is suitable for both self-study and as lecture
notes in teacher-led situations. In the latter case, it is designed to
work as a semester-long course with two hours of lectures and lab work
each per week.
VOTT is a formatted list of educational/outreach texts on using the
VO: use cases, tutorials, courses, and such. VOTT contains material
for all settings, from pre-school to graduate. It is generated from
the documents known to the VO Registry.