Outlier Analysis in Low-Resolution Spectra: DFBS and Beyond
Date:
27 Dec 2024 08:31:06
Publisher:
The GAVO DC team
Description:
Low-resolution spectra like those resulting from objective prism
observations or the RP/BP instrument on board of the Gaia astrometry
satellite enable a wealth of interesting science. This use case
investigates one use leading up to combining many VO resources: The
identification of misclassified objects from reference databases.
This tutorial introduces a few techniques for working with image
services in the Virtual Observatory (VO) in general, using services
containing plate scans as examples. It will discuss both exploratory,
interactive use, and scripting using pyVO.
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.