AAVSO Photometric All-Sky Survey (APASS), underway since 2010,
covers the entire sky from 7.5 < V < 16.5 magnitude, and in the BVugrizY
bandpasses. A northern and a southern site are used, each with twin ASA
20cm astrographs and Apogee Aspen CG16m cameras, covering 2.9x2.9 square
degrees with 2.6arcsec pixels. Landolt and SDSS standards are used for
all-sky solutions, with typical 0.02mag calibration errors on the bright
end.
Data Release 10 is a complete reprocessing of all 500K images taken with
the system, including hundreds of nights not part of DR9. Sextractor is
used for star finding and centroiding; DAOPHOT is used for aperture
photometry; the astrometry.net plate-solving library is used for basic
astrometry, supplanted with more precise WCS that utilizes knowledge of the
optical train distortions. With these changes, DR10 includes many more
stars than prior releases.
More information is available at http://www.aavso.org/apass.
A Catalog of Galaxies in the Direction of the Perseus Cluster
Short Name:
pcc cone
Date:
23 Mar 2022 13:13:05
Publisher:
The GAVO DC team
Description:
This is a catalog of 5437 morphologically classified sources in the
direction of the Perseus galaxy cluster core, among them 496
early-type low-mass galaxy candidates. The catalog is primarily based
on V-band imaging data acquired with the William Herschel Telescope.
Additionally, we used archival Subaru multiband imaging data in order
to measure aperture colors and to perform a morphological
classification. The catalog reaches its 50 per cent completeness limit
at an absolute V-band luminosity of -12 mag and a V-band surface
brightness of 26 mag arcsec^-2 .
In addition to the published table, this service also contains cutout
images of the objects investigated.
A classifier for spurious astrometric solutions in Gaia EDR3
Short Name:
gedr3spur.main
Date:
23 Mar 2022 13:13:08
Publisher:
The GAVO DC team
Description:
This table contains estimates of the "fidelity" of Gaia eDR3
astrometric solutions, a measure of the likelihood the eDR3 solution
is physical rather than spurious obtained using a neural network
trained on a small, hand-selected sample.
A all-sky compilation of galactic stellar sources observed for OH
maser emission in the transitions at 1612, 1665, and 1667 MHz. The
database contains OH maser observations selected from the literature .
These observations belong to more than 6000 different objects. The
database consists of three tables: The main table ("masers"),
interferometric followup observations ("maps") and monitoring programs
("monitor").
A Database of Circumstellar OH Masers: Interferometric Followups
Short Name:
engels oh maps
Date:
23 Mar 2022 13:13:07
Publisher:
The GAVO DC team
Description:
A all-sky compilation of galactic stellar sources observed for OH
maser emission in the transitions at 1612, 1665, and 1667 MHz. The
database contains OH maser observations selected from the literature .
These observations belong to more than 6000 different objects. The
database consists of three tables: The main table ("masers"),
interferometric followup observations ("maps") and monitoring programs
("monitor").
A Database of Circumstellar OH Masers: Monitoring Programs
Short Name:
engels oh mon
Date:
23 Mar 2022 13:13:07
Publisher:
The GAVO DC team
Description:
A all-sky compilation of galactic stellar sources observed for OH
maser emission in the transitions at 1612, 1665, and 1667 MHz. The
database contains OH maser observations selected from the literature .
These observations belong to more than 6000 different objects. The
database consists of three tables: The main table ("masers"),
interferometric followup observations ("maps") and monitoring programs
("monitor").
This brief tutorial shows you how to quickly add proper motions and
photometry from Gaia to (almost) any object list using the Virtual
Observatory. The VO protocol most suited to this kind of this is TAP
("table access protocol") and lets you transfer data and queries to
database servers. In the example, we will be using TOPCAT as a client.
There is no lock-in to it: There are libraries and other tools
allowing an integration of TAP operations into arbitrary workflows –
that's what standards are about. Tutorial supplements apply the
techniques to Simbad, show how to use TAP from Python, and introduce
UCDs.
This course introduces advanced usage of Hierarchical Progressive
Surveys (HiPS) and Multi-Order Coverage (MOC) maps in Aladin. Using
this document, you will learn how to handle a problem like : “I have a
set of images. I would like to select regions in my observations that
are above a given threshold in another survey (e.g. at low
extinction), retrieve objects from very large catalogs (e.g. Gaia +
WISE) in these non-trivial shapes and not-necessarily-connected
regions, and combine them to visualise some quantities (e.g. color
color diagram).“
This catalogue is a simulation of the Gaia DR2 stellar content using
Galaxia (a tool to sample stars from a Besancon-like Milky Way model),
3d dust extinction maps and the latest PARSEC Isochrones. It is
mimicking the Gaia DR2 data model and an apparent magnitude limit of
g=20,7. Extinctions and photometry in different bands have also been
included in a supplementary table as well as uncertainty estimates
using a scaled nominal error model.
![To the extent possible under law, the publisher has waived all copyright and related or neighboring rights to PPMXL. For details, see the `Creative Commons CC0 1.0 Public Domain dedication <http://creativecommons.org/publicdomain/zero/1.0/>`_. Of course, you should still give proper credit when using this data as required by good scientific practice. .. image:: /static/img/cc0.png :alt: [CC0]](/registry-search/?f%5Bpublisher_facet_trim%5D%5B%5D=The+GAVO+DC+team&f%5Brights_facet%5D%5B%5D=To+the+extent+possible+under+law%2C+the+publisher+has+waived+all+copyright+and+related+or+neighboring+rights+to+PPMXL.++For+details%2C+see+the+%60Creative+Commons+CC0+1.0+Public+Domain+dedication+%3Chttp%3A%2F%2Fcreativecommons.org%2Fpublicdomain%2Fzero%2F1.0%2F%3E%60_.++Of+course%2C+you+should+still+give+proper+credit+when+using+this+data+as+required+by+good+scientific+practice.%0A%0A..+image%3A%3A+%2Fstatic%2Fimg%2Fcc0.png%0A+++%3Aalt%3A+%5BCC0%5D%0A%0A&f%5BvalidationLevel_facet%5D%5B%5D=2){kind=link}