Using the Virtual Observatory Virtual Observatory Resource

Authors
  1. Demleitner, M.
  2. Heinl, H.
  3. Wambsganss, J.
  4. Published by
    The GAVO DC team
Abstract
 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.
Keywords
  1. virtual-observatories
  2. software-tutorials
  3. distributed-computing
  4. astronomy-software
See also HTML
https://docs.g-vo.org/vocourse
IVOA Identifier IVOID
ivo://org.gavo.dc/tutreg/gavo_vocourse/rec
Document Object Identifer DOI
doi:10.21938/avVAxDlGOiu0Byv7NOZCsQ

Access

Web browser access HTML
https://docs.g-vo.org/vocourse/notes.pdf
https://codeberg.org/msdemlei/vo-course.git

History

2024-07-25T10:00:00Z
Resource record created
2024-07-25
inspected

Contact

Name
GAVO Data Centre Team
Postal Address
Mönchhofstrasse 12-14, D-69120 Heidelberg
E-Mail
gavo@ari.uni-heidelberg.de
Telephone
+49 6221 54 1837