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Start Over Resource Type Education Content Level Research Validation Level 2
1. A Short Course on ADQL
ID:
ivo://org.gavo.dc/misc/adqlcourse
Title:
A Short Course on ADQL
Short Name:
GAVO ADQL course
Date:
27 Dec 2024 08:31:03
Publisher:
The GAVO DC team
Description:
This is a course on the Virtual Observatory's main query language ADQL (short for Astronomical Data Query Language), which is a SQL dialect standardised so users do not have to learn new languages each time they want to use a new resource. We also introduce the basic aspects of the Table Access Protocol TAP, which transports ADQL queries, their results as well as the metadata necessary to write meaningful queries. 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.
2. A Short Course On PyVO
ID:
ivo://org.gavo.dc/tutreg/gavo_pyvocourse/rec
Title:
A Short Course On PyVO
Short Name:
GAVO pyvo course
Date:
27 Dec 2024 08:31:13
Publisher:
The GAVO DC team
Description:
This is a course on pyVO, an astropy-affiliated Python library implementing client parts for many protocols in the Virtual Observatory: Simple discovery protocols like SCS, SIAP, and SSAP as well as the sophisticated Table Access Protocol TAP, which allows users to send complex queries to remote tables and retrieve metadata-rich results. There is also an interface to the VO Registry to enable data and service discovery. 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.
3. The NASA/IPAC Extragalactic Database
ID:
ivo://ned.ipac/NED
Title:
The NASA/IPAC Extragalactic Database
Short Name:
NED
Date:
10 Jun 2021 18:18:18
Publisher:
NASA/IPAC
Description:
The NASA/IPAC Extragalactic Database (NED) provides a comprehensive fusion of multi-wavelength data for hundreds of millions of objects located beyond the Milky Way galaxy. As new observations are published in NASA mission archives, journal articles and sky survey catalogs, they are cross-identified with prior measurements and integrated in a unified database. Numerous derived quantities are also provided to facilitate scientific research. For more information see http://ned.ipac.caltech.edu/
4. The NASA/IPAC Extragalactic Database
ID:
ivo://ned.ipac/Basic_Data_By_Reference
Title:
The NASA/IPAC Extragalactic Database
Short Name:
NED_by_refcode
Date:
10 Jun 2021 18:17:21
Publisher:
NASA/IPAC
Description:
NED service to query for Objects by Reference Code: The NASA/IPAC Extragalactic Database (NED) provides a comprehensive fusion of multi-wavelength data for hundreds of millions of objects located beyond the Milky Way galaxy. This service searches NED's master list of extragalactic objects by (19 digit) journal reference code. It returns object names, positions, and redshifts if available. It also returns counts of bibliographic references, notes, photometry, positions, redshifts, diameters, and positional associations.
5. Using the Virtual Observatory
ID:
ivo://org.gavo.dc/tutreg/gavo_vocourse/rec
Title:
Using the Virtual Observatory
Short Name:
GAVO vo course
Date:
27 Dec 2024 08:31:06
Publisher:
The GAVO DC team
Description:
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.