VizieR

CfA VizieR . ADAC VizieR . Cambridge (UK) VizieR . IUCAA VizieR . INASAN VizieR .

VizieR

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The 1 column in color are computed by VizieR, and are not part of the original data.

Note: USNO-A2.0 contains 526,280,881 sources, and is based on a re-reduction of the Precision Measuring Machine (PMM) scans from POSS-I O and E plates (>=-18°) and SRC-J and ESO-R plates (<=-20°). USNO-A2.0 was created by Dave Monet () and collaborators at Flagstaff Station, U.S. Naval Observatory.
The major difference between USNO-A2.0 and its previous version USNO-A1.0 is that A1.0 used the Guide Star Catalog as its reference frame whereas A2.0 uses the ICRF as realized by the USNO ACT catalog (Urban et al. 1997). The VizieR search engine uses an on-line compressed version (3.6Gbytes) which was generated at CDS.

I/252/out The USNO-A2.0 Catalogue (Monet+ 1998)

The Full Catalogue (526280881 rows) (Note)
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Mflag

Bmag
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Rmag
mag
Epoch
yr
10.3710675-10563274146.837700-19.519728    14.513.91980.607

Note: The Guide Star Catalog has been constructed to support the operational need of the Hubble Space Telescope. It contains over 25 million positions for about 19 million objects, of which more than 15 million are classified as stars. The version 1.2 is a new astrometric reduction which results in absolute position errors about 0.3-0.4 arcsec. (see GSC pages at URL http://www-gsss.stsci.edu/gsc/gsc.html)

I/254/out The HST Guide Star Catalog, Version 1.2 (Lasker+ 1996)
The Full Catalogue (25241730 positions) (25241730 rows)
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Class

Plate

Epoch
yr
10.270605201232146.83773-19.51964 0.314.50 0.28 0004O41977.070

Note: The GSC-ACT (or GSC1.3) is a recalibration of the GSC1.1, the catalogue constructed to support the operational need of the Hubble Space Telescope, with the ACT, the combination of the Astrographic Catalogue and the Tycho catalogue derived from the Hipparcos mission; see http://www.projectpluto.com/gsc_act.htm for more details about this recalibration.

I/255/out The HST Guide Star Catalog, Version GSC-ACT (Lasker+ 1996-99)

The GSC-ACT Full Catalogue (25241730 positions) (25241730 rows)
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yr
10.280605201232146.83773-19.51962 0.314.50 0.29 001977.070

Note: The construction of the GSC-II is still in progress: this version has no proper motions, and the magnitude limits are 18.5 in F (red) and 19.5 in J (blue). The data are copyrighted, check the data use Policy.

I/271/out The GSC 2.2 Catalogue (STScI, 2001)

The Full GSC2.2.1 Catalogue (455851237 objects) (455851237 rows)
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Rmag
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e_
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Class

a
pix
e

10.129S1312323479146.837655-19.5196721996.13113.54 0.3514.48 0.330 6.73 0.08

Note: The USNO-B Catalog presents positions, proper motions, magnitudes un blue, red and infrared, as well as star/galaxy estimators for 1,045,175,762 objects derived from 3,648,832,040 separate observations. The data were taken from scans of 7,435 Schmidt plates taken from various sky surveys during the last 50 years.
USNO-B1.0 catalog was created by Dave Monet and collaborators at http://www.nofs.navy.mil/data/fchpix/
Note that the star/galaxy estimators may be mixed up in dense regions.

I/284/out The USNO-B1.0 Catalog (Monet+ 2003)
The Whole-Sky USNO-B1.0 Catalog of 1,045,913,669 sources (1045175762 rows)
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pmRA
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pmDE
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Ndet

B1mag
mag
R1mag
mag
B2mag
mag
R2mag
mag
Imag
mag
10.5020704-0219611146.837692-19.519770 50 621975.5 0 0514.6212.9614.5213.8812.90

Note: More recent versions available: UCAC3 (I/315) and UCAC4 (I/322); see also the UCAC home page at http://ad.usno.navy.mil/ucac/

I/289/out UCAC2 Catalogue (Zacharias+ 2004)
The Second U.S. Naval Observatory CCD Astrograph Catalog (48330571 rows)
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RAJ2000
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mas
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UCmag
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No

Nc

pmRA
mas/yr
pmDE
mas/yr
2Mkey

Jmag
mag
Kmag
mag
10.01724103554146.8376450 15-19.5196378 1513.86 7 2 -26.0 5.6 88822108012.72912.356

Note: The Naval Observatory Merged Astrometric Dataset (NOMAD) contains astrometric and photometric data for over 1 billion stars derived from the Hipparcos (I/239), Tycho-2 (I/259), UCAC2 (I/289), and USNO-B1.0 (I/284) catalogs for astrometry and optical photometry, supplemented by 2MASS (II/246) near-infrared photometry.
An efficient remote query program findnomad1 is available in the cdsclient package, for Unix/Linux platforms

I/297/out NOMAD Catalog (Zacharias+ 2005)
The NOMAD-1 Catalog (1117612732 rows)
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YM

RAJ2000
deg
DEJ2000
deg
r

pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
Bmag
mag
r_

Vmag
mag
r_

Rmag
mag
r_

Jmag
mag
Hmag
mag
Kmag
mag
R

10.0170704-0224562YM146.8376450-19.5196378C -26.0 13.5 5.6 13.514.010Y13.820Y13.880B12.72912.40512.356  

Note: This version of the GSC-II has no proper motions, but the limits on brightness which existed on GSC2.2 (F<18.5, Bj<19.5) were removed.

I/305/out The Guide Star Catalog, Version 2.3.2 (GSC2.3) (STScI, 2006)
The Full GSC2.3.2 Catalogue (945592683 objects) (945592683 rows)
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GSC2.3

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jmag
mag
Vmag
mag
Nmag
mag
Class

a
pix
e

10.126S5VF000479146.837656-19.5196711996.13113.5414.48  13.230 6.73 0.08

Note: The limiting magnitude is about 15.2 in the GSC photometric system.

I/312/sample PPMX Catalog of positions and proper motions (Roeser+ 2008)
The PPMX Catalog (Position and Proper Motions eXtended) (18088919 rows)
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PPMX

RAJ2000
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DEJ2000
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mas/yr
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mas/yr
Cmag
mag
Rmag
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Jmag
mag
Hmag
mag
Kmag
mag
Nobs

P

sub

10.020094721.0-193110146.837644-19.519637 -13.39 -2.0914.50013.84912.72912.40512.356 3  O
I/317/sample The PPMXL Catalog (Roeser+ 2010)
PPMXL catalog of positions and proper motions on the ICRS (910469430 rows)
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RAJ2000
deg
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Jmag
mag
Kmag
mag
b1mag
mag
b2mag
mag
r1mag
mag
r2mag
mag
imag
mag
No

fl

10.063146.837638-19.519650 -8.2 7.812.72912.35614.6214.5212.9613.8812.90 6 0
I/319/xpm XPM Catalog of positions and proper motions (Fedorov+ 2011)
XPM catalogue (original column names in green) (313610083 rows)
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ID

RAICRS
deg
DEICRS
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pmRAp
mas/yr
pmDEp
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pmRAx
mas/yr
pmDEx
mas/yr
Fmag
mag
Bjmag
mag
Vmag
mag
Nmag
mag
Jmag
mag
e_
mag
Hmag
mag
e_
mag
Kmag
mag
e_
mag
2Mkey

Bmag
mag
Rmag
mag
Fld

dT
yr
fg

fs

M

10.070XPM 140-0409580146.837630-19.519642 -6.19 9.53 -7.20 9.2213.54414.483  13.23412.729 0.02212.405 0.02612.356 0.026 88822108014.513.9 56619.58348500M

Note: see the UCAC4 document, and the the fix for high proper motion stars. The UCAC home page is available at http://www.usno.navy.mil/USNO/astrometry/optical-IR-prod/ucac.
Please acknowledge the usage of the UCAC4

I/322A/out UCAC4 Catalogue (Zacharias+, 2012)
2012yCat.1322....0Z

Fourth U.S. Naval Observatory CCD Astrograph Catalog (113780093 rows)
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UCAC4

RAJ2000
deg
DEJ2000
deg
ePos
mas
f.mag
mag
of

db

pmRA
mas/yr
pmDE
mas/yr
Jmag
mag
Kmag
mag
Bmag
mag
Vmag
mag
rmag
mag
imag
mag
H

A

b

h

Z

B

L

N

S

10.012353-058347146.8376483-19.5196395 2213.9070 0 -6.9 10.012.72912.35614.63413.97913.79913.653000000011

Note:

I/324/igsl3 The Initial Gaia Source List (IGSL) (Smart, 2013)
2013yCat.1324....0S

IGSL3 data release (1,222,598,530 sources) (1222598530 rows)
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RAJ2000
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e_RAJ2000
(...)
e_DEJ2000
arcsec
magBJ
mag
e_
mag
magRF
mag
e_
mag
magG
mag
e_
mag
magGrvs
mag
e_
mag
alphaEpoch
yr
deltaEpoch
yr
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
10.011146.837648-19.519639 0.015 0.01514.483 0.30013.544 0.30013.746 0.40012.962 0.5001983.89001983.8900 -6.9 1.6 10.0 1.6

Note: Zone -40/+50deg

I/327/cmc15 Carlsberg Meridian Catalog 15 (CMC15) (CMC, 2011)

The full CMC-15 catalog (134653515 rows)
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RA_ICRS
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r'mag
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pflag

Nt

Jmag
mag
Hmag
mag
Ksmag
mag
10.009094721.0-193110146.837652-19.51963813.779   312.72912.40512.356
I/337/gaia Gaia DR1 (Gaia Collaboration, 2016)
Sample of GaiaSource data (Download Gaia Sources as vo table, fits or csv here) (original column names in green) (1142679769 rows)
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RA_ICRS
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e_
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Source

Plx
mas
pmRA
mas/yr
pmDE
mas/yr
RADEcor

Dup

<FG>
e-/s
e_
e-/s
<Gmag>
mag
Var

10.191146.8376069868 1.909-19.5196019507 0.6845671520944482148736      -0.9950 5.2652e+04 4.1241e+0113.721NOT_AVAILABLE

Note:

I/339/hsoy Hot Stuff for One Year (HSOY) (Altmann+, 2017)
The HSOY catalogue (583001653 sources) (original column names in green) (583001653 rows)
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comp

pmRA
mas/yr
pmDE
mas/yr
Jmag
mag
Hmag
mag
Kmag
mag
B1mag
mag
B2mag
mag
R1mag
mag
R2mag
mag
Imag
mag
GaiaId

Gmag
mag
Clone

Nosc

10.033146.8376410875-19.51964085573624600678514386223   -7.714 9.33712.72912.40512.35614.6214.5212.9613.8812.90567152094448214873613.721    

Note: UCAC5 document

I/340/ucac5 UCAC5 Catalogue (Zacharias+ 2017)
Fifth U.S. Naval Observatory CCD Astrograph Catalog (original column names in green) (107758513 rows)
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RAgaia
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DEgaia
deg
e_
mas
Org

Nu

EPucac
yr
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
Gmag
mag
f.mag
mag
Rmag
mag
Jmag
mag
Hmag
mag
Kmag
mag
10.021146.8376507-19.51963085671520944482148736146.8376069 1.9-19.5196019 0.72 71999.275 -9.4 1.1 6.6 1.113.72114.10713.88012.72912.40512.356
I/345/gaia2 Gaia DR2 (Gaia Collaboration, 2018)
Gaia data release 2 (Gaia DR2). (Download all Gaia Sources as VOTable, FITS or CSV here. Query from the command line using find_gaia_dr2 available in cdsclient here)

(original column names in green) (1692919135 rows)

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Source

Plx
mas
e_
mas
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
Dup

FG
e-/s
e_
e-/s
Gmag
mag
e_
mag
FBP
e-/s
e_
e-/s
BPmag
mag
e_
mag
FRP
e-/s
e_
e-/s
RPmag
mag
e_
mag
BP-RP
mag
RV
km/s
e_
km/s
Teff
K
AG
mag
E(BP-RP)
mag
Rad
solRad
Lum
solLum
10.195146.83760619022 0.0191-19.51960095147 0.01965671520948777612672 0.7551 0.0228 -9.573 0.038 8.159 0.039   5.6607e+04 1.6641e+0113.80620.0003 3.0310e+04 4.0823e+0114.14740.0015 3.8170e+04 4.9095e+0113.30760.0014 0.8398    5786.00 1.3185 0.6283 1.97 3.919
I/347/gaia2dis Distances to 1.33 billion stars in Gaia DR2 (Bailer-Jones+, 2018)
Estimating distances from parallaxes (1331909727 sources) (original column names in green) (1331909727 rows)
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rest
pc
b_
pc
B_
pc
rlen
pc
ResFlag

ModFlag

10.1955671520948777612672146.83760619022-19.51960095147 1274.726588941540058 1238.464876397860053 1313.131006861400010488.23732581315011
I/349/starhorse StarHorse, Gaia DR2 photo-astrometric distances (Anders+, 2019)
Starhorse catalog (265637087 rows)
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Source

dist50
kpc
AV50
mag
AG50
mag
teff50
K
logg50
[cm/s2]
met50
[-]
mass50
Msun
ABP50
mag
ARP50
mag
BP-RP0
mag
MG0
mag
XGal
kpc
YGal
kpc
ZGal
kpc
RGal
kpc
ruwe

10.195146.8376061902-19.51960095155671520948777612672 1.232687 0.021294 0.018385 5724.91 3.901697-0.136714 1.083213 0.022693 0.013093 0.830214 3.308559 -8.502455 -1.070946 0.541201 8.569635 0.895639
I/350/gaiaedr3 Gaia EDR3 (Gaia Collaboration, 2020)
Gaia data early release 3 (Gaia EDR3). (Download all Gaia Sources as VOTable, FITS or CSV here. Query from the command line using find_gaia_edr3 available in cdsclient here)

(original column names in green) (1811709771 rows)

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deg
e_
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Source

Plx
mas
e_
mas
PM
mas/yr
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
RUWE

FG
e-/s
e_
e-/s
Gmag
mag
e_
mag
FBP
e-/s
e_
e-/s
BPmag
mag
e_
mag
FRP
e-/s
e_
e-/s
RPmag
mag
e_
mag
BP-RP
mag
RVDR2
km/s
e_
km/s
Tefftemp
K
loggtemp
[cm/s2]
PS1

SDSSDR13

SkyMapper2

URAT1

GmagCorr
mag
e_
mag
FGCorr
mag
RAJ2000
deg
DEJ2000
deg
10.202146.83760477368 0.0139-19.51959980931 0.01335671520948777612672 0.8108 0.0170 12.611 -9.542 0.018 8.246 0.016 1.010 5.7264e+04 1.3197e+0113.792655 0.002767 3.0528e+04 3.7369e+0114.126778 0.003091 3.8076e+04 2.5285e+0113.296281 0.003848 0.830497         84571468376506844   88535179  13.792655 0.002767 5.7264e+04146.83764976842-19.51963645833
I/352/gedr3dis Distances to 1.47 billion stars in Gaia EDR3 (Bailer-Jones+, 2021)
Estimating distances from parallaxes (1467744818 sources) (original column names in green) (1467744818 rows)
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rgeo
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B_
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rpgeo
pc
b_
pc
B_
pc
Flag

10.2025671520948777612672146.83760477368-19.51959980931 1176.16028000 1149.32336000 1194.74158000 1165.88721000 1147.47534000 1189.0466300010033
I/353/gsc242 The Guide Star Catalog, Version 2.4.2 (GSC2.4.2) (STScI, 2020)
Guide Star Catalogue, Version 2.4.2 (original column names in green) (3485671481 rows)
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GSC2

RA_ICRS
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deg
objID

Epoch
yr
Class

Gmag
mag
OMag
mag
Bjmag
mag
Fpgmag
mag
Epgmag
mag
Npgmag
mag
Umag
mag
Bmag
mag
Vmag
mag
umag
mag
gmag
mag
rmag
mag
imag
mag
zmag
mag
ymag
mag
Jmag
mag
Hmag
mag
Ksmag
mag
Zmag
mag
Ymag
mag
W1mag
mag
W2mag
mag
W3mag
mag
W4mag
mag
FUVmag
mag
NUVmag
mag
a
pix
e
pix
PA
pix
10.195S5VF000479146.83760619022-19.51960095147 213123234792015.500013.80619014.84480014.48360013.544400  13.234200  14.63700013.95600015.61414.16813.77913.68213.60113.6039 12.727 12.405 12.400    12.33812.39211.877 8.164  19.261 6.726 0.084 47.1
I/354/starhorse2021 StarHorse2, Gaia EDR3 photo-astrometric distances (Anders+, 2022)
2022yCat.1354....0A

Starhorse catalog 2021 (original column names in green) (362392321 rows)
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RA_ICRS
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mass50
Msun
teff50
K
logg50
[cm/s2]
met50
[-]
dist50
kpc
AV50
mag
fidelity

XGal
kpc
YGal
kpc
ZGal
kpc
RGal
kpc
BP/RPCorr

AG50
mag
ABP50
mag
ARP50
mag
GMAG0
mag
BP-RP0
mag
10.2025671520948777612672146.8376047737-19.5195998093 1.126962 5907.54 3.982514-0.110398 1.163708 0.179305 1.000000 -8.485530 -1.011018 0.500532 8.545547 -0.0041096210 0.155037 0.189047 0.109612 3.308397 0.751062
I/355/gaiadr3 Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)
2022yCat.1355....0G

Gaia data release 3 (Gaia DR3). (original column names in green)
timeSerie
spectrum
(1811709771 rows)
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RA_ICRS
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Source

e_RA_ICRS
mas
e_DE_ICRS
mas
Plx
mas
e_
mas
PM
mas/yr
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
RUWE

FG
e-/s
e_
e-/s
Gmag
mag
FBP
e-/s
e_
e-/s
BPmag
mag
FRP
e-/s
e_
e-/s
RPmag
mag
BP-RP
mag
RV
km/s
e_
km/s
Vbroad
km/s
GRVSmag
mag
QSO

Gal

NSS

XPcont

XPsamp

RVS

EpochPh

EpochRV

MCMCGSP

MCMCMSC

And

Teff
K
logg
[cm/s2]
[Fe/H]
[-]
Dist
pc
A0
mag
HIP

PS1

SDSS13

SKYM2

TYC2

URAT1

AllWISE

APASS9

GSC23

RAVE5

2MASS

RAVE6

RAJ2000
deg
DEJ2000
deg
10.202146.83760477368-19.519599809315671520948777612672 0.0139 0.0133 0.8108 0.0170 12.611 -9.542 0.018 8.246 0.016 1.010 57264.39259 1.3197e+0113.792655 3.0528e+04 3.7369e+0114.126778 3.8076e+04 2.5285e+0113.296281 0.830497 27.87 3.94  13.09191900011000110 5592.7 4.0954-0.3337 1113.7408 0.0066   84571468376506844   88535179    J094721.03-193110.645893526S5VF000479  09472103-1931106  146.83764976844-19.51963645835
I/355/paramp Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)
2022yCat.1355....0G

1D astrophysical parameters produced by the Apsis processing chain developed in Gaia DPAC CU8 (1590932717 sources) (astrophysical_parameters) (original column names in green) (1590932717 rows)
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RA_ICRS
deg
DE_ICRS
deg
PQSO

PGal

Pstar

PWD

Pbin

Teff
K
logg
[cm/s2]
[Fe/H]
[-]
Dist
pc
A0
mag
AG
mag
ABP
mag
ARP
mag
E(BP-RP)
mag
GMAG
mag
Rad
solRad
Rad-Flame
Rsun
Lum-Flame
Lsun
Mass-Flame
Msun
Age-Flame
Gyr
z-Flame
km/s
10.2025671520948777612672146.83760477368-19.51959980931 0.00000000 0.00000000 0.99987000 0.00000000 0.00012999 5592.7124 4.0954-0.3337 1113.7408 0.0066 0.0055 0.0069 0.0039 0.0029 3.5520 1.7908 1.8922 3.148e+00 1.110 7.521 0.51664633
I/355/paramsup Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)
2022yCat.1355....0G

Additional parameters from the Apsis processing chain, compared to the main table astrophysical parameters, from modules that produce more than one result for a parameter (473020612 sources) (astrophysicalparameterssupp) (original column names in green) (473020612 rows)
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SolID

Teff
K
logg
[cm/s2]
[M/H]
[-]
Dist
pc
A0
mag
AG
mag
ABP
mag
ARP
mag
E(BP-RP)
mag
GMAG
mag
Rad
Rsun
logpost

[alpha/Fe]-ANN
[-]
Rad-Flame
Rsun
Lum-Flame
Lsun
Mass-Flame
Msun
Age-Flame
Gyr
Evol

z-Flame
km/s
BolCorr
mag
10.2025671520948777612672146.83760477368-19.5195998093116361480689213767685592.7124 4.0954-0.3337 1113.7408 0.0066 0.0055 0.0069 0.0039 0.0029 3.5520 1.7908-4.704911e+02                
I/355/xpsummary Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)
2022yCat.1355....0G

Auxiliary information about the mean BP/RP spectrum (219197643 sources) (xp_summary) (original column names in green) (219197643 rows)
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_r
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RA_ICRS
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SolID

NBPbases

BPrelsh

NBP

NBPrej

BPstddev
e-/s/pix
BPchi2r

NTransBP

NcTransBP

NbTransBP

NRPbases

NRPrelsh

NRP

NRPrej

RPstdev
e-/s/pix
RPchi2r

NTransRP

NcTransRP

NbTransRP

10.2025671520948777612672146.83760477368-19.519599809314545469030156206080 7 0.9999901043 2 1.063988 1.11849e+03 18 0 052 1.000000 1503 10 1.032085 1.54241e+03 26 0 0
I/355/xpsample Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)
2022yCat.1355....0G

BP/RP externally calibrated sampled mean spectrum (11822651939 rows) (xpsampledmean_spectrum) (original column names in green) (11822651939 rows)
img(gal)
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Full

_r
arcsec
Source

RA_ICRS
deg
DE_ICRS
deg
lambda

Flux
W/m2/nm
e_
(...)
10.2025671520948777612672146.83760477368-19.51959980931 336 6.2845663e-17 8.5985499e-18
20.2025671520948777612672146.83760477368-19.51959980931 338 5.9673928e-17 6.3174463e-18
30.2025671520948777612672146.83760477368-19.51959980931 340 5.3752774e-17 5.0593456e-18
40.2025671520948777612672146.83760477368-19.51959980931 342 5.0554655e-17 4.3039750e-18
50.2025671520948777612672146.83760477368-19.51959980931 344 5.1926031e-17 3.9779070e-18
60.2025671520948777612672146.83760477368-19.51959980931 346 5.5150524e-17 3.9139713e-18
70.2025671520948777612672146.83760477368-19.51959980931 348 5.7572313e-17 4.0325559e-18
80.2025671520948777612672146.83760477368-19.51959980931 350 5.6706976e-17 4.2978932e-18
90.2025671520948777612672146.83760477368-19.51959980931 352 5.4136774e-17 4.6856767e-18
100.2025671520948777612672146.83760477368-19.51959980931 354 5.2799249e-17 4.9880505e-18
110.2025671520948777612672146.83760477368-19.51959980931 356 5.3268096e-17 4.7694378e-18
120.2025671520948777612672146.83760477368-19.51959980931 358 5.3999131e-17 4.3696465e-18
130.2025671520948777612672146.83760477368-19.51959980931 360 5.4336955e-17 3.9766906e-18
140.2025671520948777612672146.83760477368-19.51959980931 362 5.3212142e-17 4.0785943e-18
150.2025671520948777612672146.83760477368-19.51959980931 364 5.3972390e-17 3.9879448e-18
160.2025671520948777612672146.83760477368-19.51959980931 366 5.8944004e-17 4.3160828e-18
170.2025671520948777612672146.83760477368-19.51959980931 368 6.4123948e-17 4.4692804e-18
180.2025671520948777612672146.83760477368-19.51959980931 370 6.3106026e-17 4.8130869e-18
190.2025671520948777612672146.83760477368-19.51959980931 372 5.7296293e-17 5.0068419e-18
200.2025671520948777612672146.83760477368-19.51959980931 374 5.4958260e-17 5.2985468e-18
210.2025671520948777612672146.83760477368-19.51959980931 376 6.0129221e-17 5.6785928e-18
220.2025671520948777612672146.83760477368-19.51959980931 378 6.7410912e-17 5.8719447e-18
230.2025671520948777612672146.83760477368-19.51959980931 380 6.6325168e-17 6.3724253e-18
240.2025671520948777612672146.83760477368-19.51959980931 382 5.5324344e-17 6.1342287e-18
250.2025671520948777612672146.83760477368-19.51959980931 384 4.5505333e-17 6.1730272e-18
260.2025671520948777612672146.83760477368-19.51959980931 386 4.5733539e-17 5.8137086e-18
270.2025671520948777612672146.83760477368-19.51959980931 388 5.2510229e-17 5.0492395e-18
280.2025671520948777612672146.83760477368-19.51959980931 390 5.6605041e-17 4.8895866e-18
290.2025671520948777612672146.83760477368-19.51959980931 392 5.4974195e-17 4.2410993e-18
300.2025671520948777612672146.83760477368-19.51959980931 394 5.1907612e-17 3.7848232e-18
310.2025671520948777612672146.83760477368-19.51959980931 396 5.3751692e-17 3.7861579e-18
320.2025671520948777612672146.83760477368-19.51959980931 398 6.2862769e-17 3.3455963e-18
330.2025671520948777612672146.83760477368-19.51959980931 400 7.5989291e-17 3.1505546e-18
340.2025671520948777612672146.83760477368-19.51959980931 402 8.7698324e-17 3.3075816e-18
350.2025671520948777612672146.83760477368-19.51959980931 404 9.3407624e-17 3.0446544e-18
360.2025671520948777612672146.83760477368-19.51959980931 406 9.3298244e-17 2.8738992e-18
370.2025671520948777612672146.83760477368-19.51959980931 408 9.0721424e-17 3.0657694e-18
380.2025671520948777612672146.83760477368-19.51959980931 410 8.9358257e-17 2.9669612e-18
390.2025671520948777612672146.83760477368-19.51959980931 412 9.0817106e-17 2.7523984e-18
400.2025671520948777612672146.83760477368-19.51959980931 414 9.4412489e-17 2.8957776e-18
410.2025671520948777612672146.83760477368-19.51959980931 416 9.7231170e-17 2.9714836e-18
420.2025671520948777612672146.83760477368-19.51959980931 418 9.7292534e-17 2.7841878e-18
430.2025671520948777612672146.83760477368-19.51959980931 420 9.4339373e-17 2.7591877e-18
440.2025671520948777612672146.83760477368-19.51959980931 422 8.9758374e-17 2.9255052e-18
450.2025671520948777612672146.83760477368-19.51959980931 424 8.5572013e-17 2.9002311e-18
460.2025671520948777612672146.83760477368-19.51959980931 426 8.3288095e-17 2.7370780e-18
470.2025671520948777612672146.83760477368-19.51959980931 428 8.2777718e-17 2.7459336e-18
480.2025671520948777612672146.83760477368-19.51959980931 430 8.3459195e-17 2.8713017e-18
490.2025671520948777612672146.83760477368-19.51959980931 432 8.4374983e-17 2.8477392e-18
500.2025671520948777612672146.83760477368-19.51959980931 434 8.5064382e-17 2.7058453e-18
510.2025671520948777612672146.83760477368-19.51959980931 436 8.6004311e-17 2.6809068e-18
520.2025671520948777612672146.83760477368-19.51959980931 438 8.7945300e-17 2.7839928e-18
530.2025671520948777612672146.83760477368-19.51959980931 440 9.0956304e-17 2.7993510e-18
540.2025671520948777612672146.83760477368-19.51959980931 442 9.4932336e-17 2.6782179e-18
550.2025671520948777612672146.83760477368-19.51959980931 444 9.9222445e-17 2.5951293e-18
560.2025671520948777612672146.83760477368-19.51959980931 446 1.0305063e-16 2.6612028e-18
570.2025671520948777612672146.83760477368-19.51959980931 448 1.0576149e-16 2.7324933e-18
580.2025671520948777612672146.83760477368-19.51959980931 450 1.0704191e-16 2.6642609e-18
590.2025671520948777612672146.83760477368-19.51959980931 452 1.0711460e-16 2.5318073e-18
600.2025671520948777612672146.83760477368-19.51959980931 454 1.0642999e-16 2.5089596e-18
610.2025671520948777612672146.83760477368-19.51959980931 456 1.0539792e-16 2.5865839e-18
620.2025671520948777612672146.83760477368-19.51959980931 458 1.0461295e-16 2.6018724e-18
630.2025671520948777612672146.83760477368-19.51959980931 460 1.0413002e-16 2.4884318e-18
640.2025671520948777612672146.83760477368-19.51959980931 462 1.0418284e-16 2.3679656e-18
650.2025671520948777612672146.83760477368-19.51959980931 464 1.0474070e-16 2.3648076e-18
660.2025671520948777612672146.83760477368-19.51959980931 466 1.0554448e-16 2.4194770e-18
670.2025671520948777612672146.83760477368-19.51959980931 468 1.0682780e-16 2.4058875e-18
680.2025671520948777612672146.83760477368-19.51959980931 470 1.0803380e-16 2.2937011e-18
690.2025671520948777612672146.83760477368-19.51959980931 472 1.0910497e-16 2.1909078e-18
700.2025671520948777612672146.83760477368-19.51959980931 474 1.0979628e-16 2.1847354e-18
710.2025671520948777612672146.83760477368-19.51959980931 476 1.0978970e-16 2.2253532e-18
720.2025671520948777612672146.83760477368-19.51959980931 478 1.0893504e-16 2.2108520e-18
730.2025671520948777612672146.83760477368-19.51959980931 480 1.0746844e-16 2.1214195e-18
740.2025671520948777612672146.83760477368-19.51959980931 482 1.0523118e-16 2.0175795e-18
750.2025671520948777612672146.83760477368-19.51959980931 484 1.0289760e-16 1.9802712e-18
760.2025671520948777612672146.83760477368-19.51959980931 486 1.0050372e-16 1.9942471e-18
770.2025671520948777612672146.83760477368-19.51959980931 488 9.8693334e-17 1.9968417e-18
780.2025671520948777612672146.83760477368-19.51959980931 490 9.7721318e-17 1.9493613e-18
790.2025671520948777612672146.83760477368-19.51959980931 492 9.7713608e-17 1.8772438e-18
800.2025671520948777612672146.83760477368-19.51959980931 494 9.8376193e-17 1.8287232e-18
810.2025671520948777612672146.83760477368-19.51959980931 496 9.9495071e-17 1.8232277e-18
820.2025671520948777612672146.83760477368-19.51959980931 498 1.0089340e-16 1.8320655e-18
830.2025671520948777612672146.83760477368-19.51959980931 500 1.0218281e-16 1.8154712e-18
840.2025671520948777612672146.83760477368-19.51959980931 502 1.0268637e-16 1.7611025e-18
850.2025671520948777612672146.83760477368-19.51959980931 504 1.0273034e-16 1.7062484e-18
860.2025671520948777612672146.83760477368-19.51959980931 506 1.0201472e-16 1.6773316e-18
870.2025671520948777612672146.83760477368-19.51959980931 508 1.0078334e-16 1.6780594e-18
880.2025671520948777612672146.83760477368-19.51959980931 510 9.9331196e-17 1.6831120e-18
890.2025671520948777612672146.83760477368-19.51959980931 512 9.7805214e-17 1.6654095e-18
900.2025671520948777612672146.83760477368-19.51959980931 514 9.6537020e-17 1.6248778e-18
910.2025671520948777612672146.83760477368-19.51959980931 516 9.5702401e-17 1.5818688e-18
920.2025671520948777612672146.83760477368-19.51959980931 518 9.5342412e-17 1.5584526e-18
930.2025671520948777612672146.83760477368-19.51959980931 520 9.5260918e-17 1.5561374e-18
940.2025671520948777612672146.83760477368-19.51959980931 522 9.5686639e-17 1.5639005e-18
950.2025671520948777612672146.83760477368-19.51959980931 524 9.6393891e-17 1.5598104e-18
960.2025671520948777612672146.83760477368-19.51959980931 526 9.7097815e-17 1.5336627e-18
970.2025671520948777612672146.83760477368-19.51959980931 528 9.7807655e-17 1.4966114e-18
980.2025671520948777612672146.83760477368-19.51959980931 530 9.8430403e-17 1.4665347e-18
990.2025671520948777612672146.83760477368-19.51959980931 532 9.8673872e-17 1.4528241e-18
1000.2025671520948777612672146.83760477368-19.51959980931 534 9.8723457e-17 1.4565956e-18
1010.2025671520948777612672146.83760477368-19.51959980931 536 9.8778633e-17 1.4664683e-18
1020.2025671520948777612672146.83760477368-19.51959980931 538 9.8681165e-17 1.4645600e-18
1030.2025671520948777612672146.83760477368-19.51959980931 540 9.8412781e-17 1.4434658e-18
1040.2025671520948777612672146.83760477368-19.51959980931 542 9.8222563e-17 1.4107455e-18
1050.2025671520948777612672146.83760477368-19.51959980931 544 9.8155541e-17 1.3779752e-18
1060.2025671520948777612672146.83760477368-19.51959980931 546 9.7873506e-17 1.3511922e-18
1070.2025671520948777612672146.83760477368-19.51959980931 548 9.7642001e-17 1.3381658e-18
1080.2025671520948777612672146.83760477368-19.51959980931 550 9.7444020e-17 1.3344087e-18
1090.2025671520948777612672146.83760477368-19.51959980931 552 9.7307635e-17 1.3319248e-18
1100.2025671520948777612672146.83760477368-19.51959980931 554 9.6871750e-17 1.3189687e-18
1110.2025671520948777612672146.83760477368-19.51959980931 556 9.6595584e-17 1.3000397e-18
1120.2025671520948777612672146.83760477368-19.51959980931 558 9.6288694e-17 1.2758511e-18
1130.2025671520948777612672146.83760477368-19.51959980931 560 9.5915291e-17 1.2519048e-18
1140.2025671520948777612672146.83760477368-19.51959980931 562 9.5596674e-17 1.2348756e-18
1150.2025671520948777612672146.83760477368-19.51959980931 564 9.5408051e-17 1.2271392e-18
1160.2025671520948777612672146.83760477368-19.51959980931 566 9.5421014e-17 1.2268404e-18
1170.2025671520948777612672146.83760477368-19.51959980931 568 9.5564289e-17 1.2278758e-18
1180.2025671520948777612672146.83760477368-19.51959980931 570 9.6066321e-17 1.2282493e-18
1190.2025671520948777612672146.83760477368-19.51959980931 572 9.6828677e-17 1.2240280e-18
1200.2025671520948777612672146.83760477368-19.51959980931 574 9.7350542e-17 1.2092404e-18
1210.2025671520948777612672146.83760477368-19.51959980931 576 9.7710849e-17 1.1877898e-18
1220.2025671520948777612672146.83760477368-19.51959980931 578 9.7616709e-17 1.1600222e-18
1230.2025671520948777612672146.83760477368-19.51959980931 580 9.7300786e-17 1.1320487e-18
1240.2025671520948777612672146.83760477368-19.51959980931 582 9.6539389e-17 1.1029254e-18
1250.2025671520948777612672146.83760477368-19.51959980931 584 9.5305580e-17 1.0724737e-18
1260.2025671520948777612672146.83760477368-19.51959980931 586 9.4198925e-17 1.0465492e-18
1270.2025671520948777612672146.83760477368-19.51959980931 588 9.3045358e-17 1.0221369e-18
1280.2025671520948777612672146.83760477368-19.51959980931 590 9.2099348e-17 1.0014849e-18
1290.2025671520948777612672146.83760477368-19.51959980931 592 9.1622780e-17 9.8739898e-19
1300.2025671520948777612672146.83760477368-19.51959980931 594 9.0974885e-17 9.7326836e-19
1310.2025671520948777612672146.83760477368-19.51959980931 596 9.0469213e-17 9.6272832e-19
1320.2025671520948777612672146.83760477368-19.51959980931 598 9.0406454e-17 9.5874524e-19
1330.2025671520948777612672146.83760477368-19.51959980931 600 9.0522021e-17 9.5769472e-19
1340.2025671520948777612672146.83760477368-19.51959980931 602 9.0738080e-17 9.5749692e-19
1350.2025671520948777612672146.83760477368-19.51959980931 604 9.0802375e-17 9.5411179e-19
1360.2025671520948777612672146.83760477368-19.51959980931 606 9.0820348e-17 9.4756920e-19
1370.2025671520948777612672146.83760477368-19.51959980931 608 9.0679377e-17 9.3623600e-19
1380.2025671520948777612672146.83760477368-19.51959980931 610 9.0488808e-17 9.2152904e-19
1390.2025671520948777612672146.83760477368-19.51959980931 612 9.0286704e-17 9.0468175e-19
1400.2025671520948777612672146.83760477368-19.51959980931 614 9.0032403e-17 8.8637676e-19
1410.2025671520948777612672146.83760477368-19.51959980931 616 8.9715718e-17 8.6748613e-19
1420.2025671520948777612672146.83760477368-19.51959980931 618 8.9486503e-17 8.4999436e-19
1430.2025671520948777612672146.83760477368-19.51959980931 620 8.8939538e-17 8.3011695e-19
1440.2025671520948777612672146.83760477368-19.51959980931 622 8.8615171e-17 8.1265506e-19
1450.2025671520948777612672146.83760477368-19.51959980931 624 8.8806111e-17 7.9973440e-19
1460.2025671520948777612672146.83760477368-19.51959980931 626 8.8923597e-17 7.8566493e-19
1470.2025671520948777612672146.83760477368-19.51959980931 628 8.9114285e-17 7.7188721e-19
1480.2025671520948777612672146.83760477368-19.51959980931 630 8.9328809e-17 7.5852379e-19
1490.2025671520948777612672146.83760477368-19.51959980931 632 8.9311591e-17 7.4443686e-19
1500.2025671520948777612672146.83760477368-19.51959980931 634 8.9301876e-17 7.3299695e-19
1510.2025671520948777612672146.83760477368-19.51959980931 636 8.8542796e-17 6.5397943e-19
1520.2025671520948777612672146.83760477368-19.51959980931 638 8.7325768e-17 6.5725585e-19
1530.2025671520948777612672146.83760477368-19.51959980931 640 8.6490554e-17 8.7139838e-19
1540.2025671520948777612672146.83760477368-19.51959980931 642 8.6473177e-17 1.2750865e-18
1550.2025671520948777612672146.83760477368-19.51959980931 644 8.4547149e-17 1.4937798e-18
1560.2025671520948777612672146.83760477368-19.51959980931 646 8.1955467e-17 1.4644580e-18
1570.2025671520948777612672146.83760477368-19.51959980931 648 8.0545131e-17 1.4785391e-18
1580.2025671520948777612672146.83760477368-19.51959980931 650 8.0625685e-17 1.4890853e-18
1590.2025671520948777612672146.83760477368-19.51959980931 652 8.1322555e-17 1.4385700e-18
1600.2025671520948777612672146.83760477368-19.51959980931 654 8.1790295e-17 1.4231069e-18
1610.2025671520948777612672146.83760477368-19.51959980931 656 8.1534227e-17 1.4562472e-18
1620.2025671520948777612672146.83760477368-19.51959980931 658 8.0715470e-17 1.4227271e-18
1630.2025671520948777612672146.83760477368-19.51959980931 660 7.9898851e-17 1.3639569e-18
1640.2025671520948777612672146.83760477368-19.51959980931 662 7.9511691e-17 1.3929731e-18
1650.2025671520948777612672146.83760477368-19.51959980931 664 7.9670159e-17 1.4064594e-18
1660.2025671520948777612672146.83760477368-19.51959980931 666 8.0146171e-17 1.3177306e-18
1670.2025671520948777612672146.83760477368-19.51959980931 668 8.0798261e-17 1.2845594e-18
1680.2025671520948777612672146.83760477368-19.51959980931 670 8.1277516e-17 1.3583061e-18
1690.2025671520948777612672146.83760477368-19.51959980931 672 8.1121550e-17 1.3370237e-18
1700.2025671520948777612672146.83760477368-19.51959980931 674 8.0226640e-17 1.2146095e-18
1710.2025671520948777612672146.83760477368-19.51959980931 676 7.9072828e-17 1.2271917e-18
1720.2025671520948777612672146.83760477368-19.51959980931 678 7.7713705e-17 1.3224760e-18
1730.2025671520948777612672146.83760477368-19.51959980931 680 7.6692494e-17 1.2651079e-18
1740.2025671520948777612672146.83760477368-19.51959980931 682 7.6368153e-17 1.1372276e-18
1750.2025671520948777612672146.83760477368-19.51959980931 684 7.6656608e-17 1.1947092e-18
1760.2025671520948777612672146.83760477368-19.51959980931 686 7.7329681e-17 1.2939218e-18
1770.2025671520948777612672146.83760477368-19.51959980931 688 7.7997103e-17 1.2051405e-18
1780.2025671520948777612672146.83760477368-19.51959980931 690 7.8170877e-17 1.0803101e-18
1790.2025671520948777612672146.83760477368-19.51959980931 692 7.7559750e-17 1.1683226e-18
1800.2025671520948777612672146.83760477368-19.51959980931 694 7.6670650e-17 1.2629915e-18
1810.2025671520948777612672146.83760477368-19.51959980931 696 7.5626556e-17 1.1522877e-18
1820.2025671520948777612672146.83760477368-19.51959980931 698 7.4949042e-17 1.0276599e-18
1830.2025671520948777612672146.83760477368-19.51959980931 700 7.4812656e-17 1.1317316e-18
1840.2025671520948777612672146.83760477368-19.51959980931 702 7.5374716e-17 1.2322165e-18
1850.2025671520948777612672146.83760477368-19.51959980931 704 7.5822498e-17 1.1211870e-18
1860.2025671520948777612672146.83760477368-19.51959980931 706 7.5876629e-17 9.8782798e-19
1870.2025671520948777612672146.83760477368-19.51959980931 708 7.5313762e-17 1.0856996e-18
1880.2025671520948777612672146.83760477368-19.51959980931 710 7.3874786e-17 1.1987016e-18
1890.2025671520948777612672146.83760477368-19.51959980931 712 7.2092020e-17 1.1126794e-18
1900.2025671520948777612672146.83760477368-19.51959980931 714 7.0595504e-17 9.6736508e-19
1910.2025671520948777612672146.83760477368-19.51959980931 716 6.9959528e-17 1.0309792e-18
1920.2025671520948777612672146.83760477368-19.51959980931 718 7.0283902e-17 1.1655117e-18
1930.2025671520948777612672146.83760477368-19.51959980931 720 7.1173227e-17 1.1284298e-18
1940.2025671520948777612672146.83760477368-19.51959980931 722 7.2445610e-17 9.8152941e-19
1950.2025671520948777612672146.83760477368-19.51959980931 724 7.3060919e-17 9.7074205e-19
1960.2025671520948777612672146.83760477368-19.51959980931 726 7.2819568e-17 1.0962119e-18
1970.2025671520948777612672146.83760477368-19.51959980931 728 7.1864605e-17 1.1279523e-18
1980.2025671520948777612672146.83760477368-19.51959980931 730 7.0192701e-17 1.0158898e-18
1990.2025671520948777612672146.83760477368-19.51959980931 732 6.8310157e-17 9.3181286e-19
2000.2025671520948777612672146.83760477368-19.51959980931 734 6.6877427e-17 9.9950394e-19
2010.2025671520948777612672146.83760477368-19.51959980931 736 6.6326617e-17 1.0804649e-18
2020.2025671520948777612672146.83760477368-19.51959980931 738 6.6455293e-17 1.0453423e-18
2030.2025671520948777612672146.83760477368-19.51959980931 740 6.7130101e-17 9.4704942e-19
2040.2025671520948777612672146.83760477368-19.51959980931 742 6.8084442e-17 9.3074207e-19
2050.2025671520948777612672146.83760477368-19.51959980931 744 6.8808311e-17 1.0100231e-18
2060.2025671520948777612672146.83760477368-19.51959980931 746 6.9138277e-17 1.0586882e-18
2070.2025671520948777612672146.83760477368-19.51959980931 748 6.8921066e-17 1.0099689e-18
2080.2025671520948777612672146.83760477368-19.51959980931 750 6.8452008e-17 9.2731517e-19
2090.2025671520948777612672146.83760477368-19.51959980931 752 6.7608449e-17 9.1945003e-19
2100.2025671520948777612672146.83760477368-19.51959980931 754 6.6861287e-17 9.9307241e-19
2110.2025671520948777612672146.83760477368-19.51959980931 756 6.6068563e-17 1.0353012e-18
2120.2025671520948777612672146.83760477368-19.51959980931 758 6.5589315e-17 9.8959577e-19
2130.2025671520948777612672146.83760477368-19.51959980931 760 6.5410425e-17 9.0685848e-19
2140.2025671520948777612672146.83760477368-19.51959980931 762 6.5293396e-17 8.9575047e-19
2150.2025671520948777612672146.83760477368-19.51959980931 764 6.5318449e-17 9.6946157e-19
2160.2025671520948777612672146.83760477368-19.51959980931 766 6.5415455e-17 1.0182288e-18
2170.2025671520948777612672146.83760477368-19.51959980931 768 6.5416427e-17 9.7354660e-19
2180.2025671520948777612672146.83760477368-19.51959980931 770 6.5405244e-17 8.8866360e-19
2190.2025671520948777612672146.83760477368-19.51959980931 772 6.5058377e-17 8.7938171e-19
2200.2025671520948777612672146.83760477368-19.51959980931 774 6.4529048e-17 9.6085827e-19
2210.2025671520948777612672146.83760477368-19.51959980931 776 6.4036736e-17 1.0166230e-18
2220.2025671520948777612672146.83760477368-19.51959980931 778 6.3629029e-17 9.7316507e-19
2230.2025671520948777612672146.83760477368-19.51959980931 780 6.3391105e-17 8.7927045e-19
2240.2025671520948777612672146.83760477368-19.51959980931 782 6.3234702e-17 8.5665590e-19
2250.2025671520948777612672146.83760477368-19.51959980931 784 6.3472546e-17 9.3534937e-19
2260.2025671520948777612672146.83760477368-19.51959980931 786 6.3703753e-17 9.9806579e-19
2270.2025671520948777612672146.83760477368-19.51959980931 788 6.3788324e-17 9.6790296e-19
2280.2025671520948777612672146.83760477368-19.51959980931 790 6.3630174e-17 8.8190151e-19
2290.2025671520948777612672146.83760477368-19.51959980931 792 6.3077055e-17 8.4712502e-19
2300.2025671520948777612672146.83760477368-19.51959980931 794 6.2257365e-17 9.0286991e-19
2310.2025671520948777612672146.83760477368-19.51959980931 796 6.1247424e-17 9.6138333e-19
2320.2025671520948777612672146.83760477368-19.51959980931 798 6.0116503e-17 9.4672424e-19
2330.2025671520948777612672146.83760477368-19.51959980931 800 5.9254448e-17 8.7798098e-19
2340.2025671520948777612672146.83760477368-19.51959980931 802 5.8647013e-17 8.3218407e-19
2350.2025671520948777612672146.83760477368-19.51959980931 804 5.8379714e-17 8.5597244e-19
2360.2025671520948777612672146.83760477368-19.51959980931 806 5.8557532e-17 9.0383503e-19
2370.2025671520948777612672146.83760477368-19.51959980931 808 5.8817961e-17 9.1051461e-19
2380.2025671520948777612672146.83760477368-19.51959980931 810 5.9024876e-17 8.7193874e-19
2390.2025671520948777612672146.83760477368-19.51959980931 812 5.9079833e-17 8.3290062e-19
2400.2025671520948777612672146.83760477368-19.51959980931 814 5.8677440e-17 8.2777541e-19
2410.2025671520948777612672146.83760477368-19.51959980931 816 5.8328787e-17 8.5120788e-19
2420.2025671520948777612672146.83760477368-19.51959980931 818 5.7675135e-17 8.6220716e-19
2430.2025671520948777612672146.83760477368-19.51959980931 820 5.7131267e-17 8.5421686e-19
2440.2025671520948777612672146.83760477368-19.51959980931 822 5.6596624e-17 8.3970800e-19
2450.2025671520948777612672146.83760477368-19.51959980931 824 5.6317097e-17 8.3541711e-19
2460.2025671520948777612672146.83760477368-19.51959980931 826 5.6407689e-17 8.3778445e-19
2470.2025671520948777612672146.83760477368-19.51959980931 828 5.6617184e-17 8.3410334e-19
2480.2025671520948777612672146.83760477368-19.51959980931 830 5.6788437e-17 8.2841802e-19
2490.2025671520948777612672146.83760477368-19.51959980931 832 5.6842303e-17 8.3403551e-19
2500.2025671520948777612672146.83760477368-19.51959980931 834 5.6507825e-17 8.4643335e-19
2510.2025671520948777612672146.83760477368-19.51959980931 836 5.5914332e-17 8.4931777e-19
2520.2025671520948777612672146.83760477368-19.51959980931 838 5.5230469e-17 8.3331075e-19
2530.2025671520948777612672146.83760477368-19.51959980931 840 5.4199673e-17 8.0791790e-19
2540.2025671520948777612672146.83760477368-19.51959980931 842 5.3275481e-17 8.0780778e-19
2550.2025671520948777612672146.83760477368-19.51959980931 844 5.2274175e-17 8.3448079e-19
2560.2025671520948777612672146.83760477368-19.51959980931 846 5.1979113e-17 8.6738469e-19
2570.2025671520948777612672146.83760477368-19.51959980931 848 5.2010728e-17 8.6540292e-19
2580.2025671520948777612672146.83760477368-19.51959980931 850 5.2368877e-17 8.2738332e-19
2590.2025671520948777612672146.83760477368-19.51959980931 852 5.2721237e-17 7.8847332e-19
2600.2025671520948777612672146.83760477368-19.51959980931 854 5.3201289e-17 7.9823658e-19
2610.2025671520948777612672146.83760477368-19.51959980931 856 5.3520624e-17 8.4979930e-19
2620.2025671520948777612672146.83760477368-19.51959980931 858 5.3655567e-17 8.9376390e-19
2630.2025671520948777612672146.83760477368-19.51959980931 860 5.3331113e-17 8.8628991e-19
2640.2025671520948777612672146.83760477368-19.51959980931 862 5.2650291e-17 8.3358480e-19
2650.2025671520948777612672146.83760477368-19.51959980931 864 5.1875762e-17 7.8830343e-19
2660.2025671520948777612672146.83760477368-19.51959980931 866 5.1048072e-17 8.0203360e-19
2670.2025671520948777612672146.83760477368-19.51959980931 868 5.0623764e-17 8.7071544e-19
2680.2025671520948777612672146.83760477368-19.51959980931 870 4.9839002e-17 9.1813584e-19
2690.2025671520948777612672146.83760477368-19.51959980931 872 4.9784517e-17 9.1679064e-19
2700.2025671520948777612672146.83760477368-19.51959980931 874 4.9780477e-17 8.5850630e-19
2710.2025671520948777612672146.83760477368-19.51959980931 876 5.0099736e-17 8.0223057e-19
2720.2025671520948777612672146.83760477368-19.51959980931 878 5.0536815e-17 8.0818710e-19
2730.2025671520948777612672146.83760477368-19.51959980931 880 5.1230819e-17 8.8002350e-19
2740.2025671520948777612672146.83760477368-19.51959980931 882 5.1476495e-17 9.4512540e-19
2750.2025671520948777612672146.83760477368-19.51959980931 884 5.1487907e-17 9.5433926e-19
2760.2025671520948777612672146.83760477368-19.51959980931 886 5.1192034e-17 9.0056621e-19
2770.2025671520948777612672146.83760477368-19.51959980931 888 5.0778480e-17 8.3146985e-19
2780.2025671520948777612672146.83760477368-19.51959980931 890 5.0335406e-17 8.1630572e-19
2790.2025671520948777612672146.83760477368-19.51959980931 892 4.9761108e-17 8.7473926e-19
2800.2025671520948777612672146.83760477368-19.51959980931 894 4.9207383e-17 9.5404148e-19
2810.2025671520948777612672146.83760477368-19.51959980931 896 4.8999261e-17 9.9459814e-19
2820.2025671520948777612672146.83760477368-19.51959980931 898 4.8714608e-17 9.6234606e-19
2830.2025671520948777612672146.83760477368-19.51959980931 900 4.8674924e-17 8.8924687e-19
2840.2025671520948777612672146.83760477368-19.51959980931 902 4.8706800e-17 8.3871942e-19
2850.2025671520948777612672146.83760477368-19.51959980931 904 4.8569802e-17 8.6471921e-19
2860.2025671520948777612672146.83760477368-19.51959980931 906 4.8332530e-17 9.4995035e-19
2870.2025671520948777612672146.83760477368-19.51959980931 908 4.8263223e-17 1.0310997e-18
2880.2025671520948777612672146.83760477368-19.51959980931 910 4.7754619e-17 1.0449107e-18
2890.2025671520948777612672146.83760477368-19.51959980931 912 4.7230795e-17 9.9438701e-19
2900.2025671520948777612672146.83760477368-19.51959980931 914 4.6786619e-17 9.2175641e-19
2910.2025671520948777612672146.83760477368-19.51959980931 916 4.6428973e-17 8.9461103e-19
2920.2025671520948777612672146.83760477368-19.51959980931 918 4.5849569e-17 9.4225953e-19
2930.2025671520948777612672146.83760477368-19.51959980931 920 4.5682297e-17 1.0364450e-18
2940.2025671520948777612672146.83760477368-19.51959980931 922 4.6025702e-17 1.1126890e-18
2950.2025671520948777612672146.83760477368-19.51959980931 924 4.6076640e-17 1.1122525e-18
2960.2025671520948777612672146.83760477368-19.51959980931 926 4.6257316e-17 1.0512015e-18
2970.2025671520948777612672146.83760477368-19.51959980931 928 4.6801171e-17 9.8387819e-19
2980.2025671520948777612672146.83760477368-19.51959980931 930 4.6940203e-17 9.6304089e-19
2990.2025671520948777612672146.83760477368-19.51959980931 932 4.6850170e-17 1.0225957e-18
3000.2025671520948777612672146.83760477368-19.51959980931 934 4.6691957e-17 1.1239862e-18
3010.2025671520948777612672146.83760477368-19.51959980931 936 4.6248297e-17 1.1978136e-18
3020.2025671520948777612672146.83760477368-19.51959980931 938 4.5642344e-17 1.2085316e-18
3030.2025671520948777612672146.83760477368-19.51959980931 940 4.4651468e-17 1.1525352e-18
3040.2025671520948777612672146.83760477368-19.51959980931 942 4.3637606e-17 1.0818084e-18
3050.2025671520948777612672146.83760477368-19.51959980931 944 4.3230209e-17 1.0732840e-18
3060.2025671520948777612672146.83760477368-19.51959980931 946 4.2380427e-17 1.1285676e-18
3070.2025671520948777612672146.83760477368-19.51959980931 948 4.1995271e-17 1.2305948e-18
3080.2025671520948777612672146.83760477368-19.51959980931 950 4.2399819e-17 1.3250933e-18
3090.2025671520948777612672146.83760477368-19.51959980931 952 4.2505086e-17 1.3366250e-18
3100.2025671520948777612672146.83760477368-19.51959980931 954 4.3094879e-17 1.2897226e-18
3110.2025671520948777612672146.83760477368-19.51959980931 956 4.4132471e-17 1.2262322e-18
3120.2025671520948777612672146.83760477368-19.51959980931 958 4.4809085e-17 1.1948375e-18
3130.2025671520948777612672146.83760477368-19.51959980931 960 4.5429110e-17 1.2543322e-18
3140.2025671520948777612672146.83760477368-19.51959980931 962 4.5747747e-17 1.3779350e-18
3150.2025671520948777612672146.83760477368-19.51959980931 964 4.5790244e-17 1.5019088e-18
3160.2025671520948777612672146.83760477368-19.51959980931 966 4.4914230e-17 1.5491419e-18
3170.2025671520948777612672146.83760477368-19.51959980931 968 4.3972604e-17 1.5281510e-18
3180.2025671520948777612672146.83760477368-19.51959980931 970 4.2846308e-17 1.4586256e-18
3190.2025671520948777612672146.83760477368-19.51959980931 972 4.0925988e-17 1.3837696e-18
3200.2025671520948777612672146.83760477368-19.51959980931 974 3.9682256e-17 1.4232592e-18
3210.2025671520948777612672146.83760477368-19.51959980931 976 3.8347633e-17 1.5580662e-18
3220.2025671520948777612672146.83760477368-19.51959980931 978 3.7026593e-17 1.7167228e-18
3230.2025671520948777612672146.83760477368-19.51959980931 980 3.6990792e-17 1.8700190e-18
3240.2025671520948777612672146.83760477368-19.51959980931 982 3.6721807e-17 1.8898145e-18
3250.2025671520948777612672146.83760477368-19.51959980931 984 3.7536523e-17 1.8383305e-18
3260.2025671520948777612672146.83760477368-19.51959980931 986 3.8738112e-17 1.7350260e-18
3270.2025671520948777612672146.83760477368-19.51959980931 988 3.9914624e-17 1.6709253e-18
3280.2025671520948777612672146.83760477368-19.51959980931 990 4.2123147e-17 1.7931435e-18
3290.2025671520948777612672146.83760477368-19.51959980931 992 4.3450031e-17 2.0249592e-18
3300.2025671520948777612672146.83760477368-19.51959980931 994 4.5176539e-17 2.3364140e-18
3310.2025671520948777612672146.83760477368-19.51959980931 996 4.6381890e-17 2.5892364e-18
3320.2025671520948777612672146.83760477368-19.51959980931 998 4.6501497e-17 2.6875146e-18
3330.2025671520948777612672146.83760477368-19.519599809311000 4.6343816e-17 2.6662856e-18
3340.2025671520948777612672146.83760477368-19.519599809311002 4.5198787e-17 2.5456357e-18
3350.2025671520948777612672146.83760477368-19.519599809311004 4.3083805e-17 2.4795746e-18
3360.2025671520948777612672146.83760477368-19.519599809311006 4.0979745e-17 2.7156916e-18
3370.2025671520948777612672146.83760477368-19.519599809311008 3.7819700e-17 3.2261196e-18
3380.2025671520948777612672146.83760477368-19.519599809311010 3.5090600e-17 3.9523430e-18
3390.2025671520948777612672146.83760477368-19.519599809311012 3.2797668e-17 4.6799555e-18
3400.2025671520948777612672146.83760477368-19.519599809311014 3.0586634e-17 5.1222713e-18
3410.2025671520948777612672146.83760477368-19.519599809311016 3.0229620e-17 5.3933640e-18
3420.2025671520948777612672146.83760477368-19.519599809311018 3.0225484e-17 5.1888006e-18
3430.2025671520948777612672146.83760477368-19.519599809311020 3.2542834e-17 5.0208192e-18
I/355/xpcont Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)
2022yCat.1355....0G

Mean BP and RP spectra based on the continuous representation in basis functions (219197643 rows) (gaiadr3xpcont) (original column names in green) (219197643 rows)
img(gal)
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Full

_r
arcsec
Source

RA_ICRS
deg
DE_ICRS
deg
SolID

BPDOF

NBP

BPNrej

BPstddev

BPchi2r

NBPbases

BPrelsh

RPDOF

NRP

RPNrej

RPstddev

RPchi2r

NRPbases

RPrelsh

BPrecnoS

BPNelem

BPcorrrecnoS

BPcorrNelem

RPrecnoS

RPNelem

RPcorrrecnoS

RPcorrNelem

10.2025671520948777612672146.83760477368-19.519599809314545469030156206080 9881043 2 1.063987970 1.118486e+03 7 0.999990284 1448 1503 10 1.032085061 1.542409e+0352 1.00000000 8551005100552308771377001485 8551005155552308771391851485
I/355/spectra Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)
2022yCat.1355....0G

Gaia DR3 spectra view (34468373 sources) (34468373 rows)
img(gal)
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_r
arcsec
RA_ICRS
deg
DE_ICRS
deg
Source

plotXPsamp

dataXPSamp

10.202146.83760477368-19.519599809315671520948777612672plottsv
I/360/syntphot Gaia DR3 Part 6. Performance verification (Gaia Collaboration, 2022)
2022yCat.1360....0G

Synthetic photometry generated from the Gaia BP/RP mean spectra (218936915 sources) (syntheticphotometrygspc) (original column names in green) (218936915 rows)
img(gal)
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_r
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Source

RA_ICRS
deg
DE_ICRS
deg
E(BP/RP)corr

FU
W/m2/nm
10.2025671520948777612672146.83760477368-19.51959980931 -0.0041 5.74870e-17
II/246/out 2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)
2003yCat.2246....0C

The Point Source catalogue of 470,992,970 sources. Please acknowledge the usage of the 2MASS All-Sky Survey; see also the 2MASS Pages.    Note that the magnitudes in red correspond to low quality results (upper limits or very poor photometry) (470992970 rows)
img(gal)
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_r
arcsec
RAJ2000
deg
DEJ2000
deg
2MASS

Jmag
mag
e_Jmag
mag
Hmag
mag
e_Hmag
mag
Kmag
mag
e_Kmag
mag
Qflg

Rflg

Bflg

Cflg

Xflg

Aflg

10.077146.837627-19.51963809472103-193110612.729 0.02212.405 0.02612.356 0.026AAA22211100000

Note:

II/311/wise WISE All-Sky Data Release (Cutri+ 2012)
2012yCat.2311....0C

The WISE All-Sky data Release; please acknowledge the usage of the WISE data products (563921584 rows)
img(gal)

start AladinLite
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_r
arcsec
WISE

RAJ2000
deg
DEJ2000
deg
eeMaj
arcsec
eeMin
arcsec
Im

W1mag
mag
e_
mag
W2mag
mag
e_
mag
W3mag
mag
e_
mag
W4mag
mag
e_
mag
Jmag
mag
Hmag
mag
Kmag
mag
ccf

ex

var

d2M
arcsec
2M

10.091J094721.04-193110.6146.837671-19.519621 0.096 0.094Im12.333 0.02512.402 0.02912.117   8.459  12.72912.40512.3560000141nn 0.1612M

Note:

II/312/ais GALEX-DR5 (GR5) sources from AIS and MIS (Bianchi+ 2011)
Sample of the AIS (All-sky Imaging Survey) (out of 65,266,291 sources) (77864203 rows)
img(gal)

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_r
arcsec
RAJ2000
deg
DEJ2000
deg
FUV
mag
e_
mag
NUV
mag
e_
mag
r.fov
deg
b

Fafl

Nafl

Fexf

Nexf

Fr
arcsec
Nr
arcsec
10.963146.837704-19.519899    19.293 0.099 0.2381251 0 0 0 0   6.87

Note:

II/328/allwise AllWISE Data Release (Cutri+ 2013)
2014yCat.2328....0C

The AllWISE data Release (updated version, 16-Feb-2021); please acknowledge the usage of the WISE data products (747634026 rows) (Note)
img(gal)

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_r
arcsec
AllWISE

RAJ2000
deg
DEJ2000
deg
Im

W1mag
mag
e_
mag
W2mag
mag
e_
mag
W3mag
mag
e_
mag
W4mag
mag
e_
mag
Jmag
mag
e_
mag
Hmag
mag
e_
mag
Kmag
mag
e_
mag
ccf

ex

var

pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
qph

d2M
arcsec
2M

10.101J094721.03-193110.6146.8376288-19.5196166Im12.338 0.02412.392 0.02511.877   8.164  12.729 0.02212.405 0.02612.356 0.0260000111nn -64 52 52 54AAUU 0.0772M

Note:

II/335/galex_ais Revised catalog of GALEX UV sources (GUVcat_AIS GR6+7) (Bianchi+ 2017)
Sample of the revised GALEX catalog of UV sources (GUVcat_AIS) from GR6+7 (82,992,086 sources) (original column names in green) (82992086 rows)
img(gal)

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_r
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RAJ2000
deg
DEJ2000
deg
Name

r.fov
deg
b

FUVmag
mag
e_
mag
NUVmag
mag
e_
mag
Fafl

Nafl

Fexf

Nexf

Fr
deg
Nr
deg
10.421146.837620-19.519750GALEX J094721.0-193111 0.2382061    19.2613 0.0955 0 0 0 0   0.002000

Note:

II/336/apass9 AAVSO Photometric All Sky Survey (APASS) DR9 (Henden+, 2016)
The APASS catalog (61176401 rows)
img(gal)

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_r
arcsec
recno

RAJ2000
deg
DEJ2000
deg
e_RAJ2000
(...)
e_DEJ2000
arcsec
Field

nobs

mobs

B-V
mag
e_
mag
Vmag
mag
e_
mag
Bmag
mag
e_
mag
g'mag
mag
e_
mag
r'mag
mag
e_
mag
i'mag
mag
e_
mag
10.30145893526146.837591-19.519574 0.168 0.267 20161110 5 22 0.680 0.09013.956 0.04114.637 0.08014.243 0.04413.779 0.03313.617 0.059

Note:

II/349/ps1 The Pan-STARRS release 1 (PS1) Survey - DR1 (Chambers+, 2016)
Pan-STARRS DR1 catalogue (original column names in green) (1919106885 rows)
img(gal)

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_r
arcsec
RAJ2000
deg
DEJ2000
deg
objID

f_objID

Qual

e_RAJ2000
(...)
e_DEJ2000
arcsec
Epoch
d
Ns

Nd

gmag
mag
e_
mag
gKmag
mag
e_
mag
gFlags

rmag
mag
e_
mag
rKmag
mag
e_
mag
rFlags

imag
mag
e_
mag
iKmag
mag
e_
mag
iFlags

zmag
mag
e_
mag
zKmag
mag
e_
mag
zFlags

ymag
mag
e_
mag
yKmag
mag
e_
mag
yFlags

10.184146.837608600-19.519603120 84571468376506844 503635968 60 0.0026 0.003856006.325798610 5 71 14.1681 0.004214.2258 0.0024 11500013.7793 0.001313.8403 0.0010 11500013.6824 0.010613.7066 0.0021 11500013.6011 0.009113.6633 0.0010 11500013.6039 0.003613.6251 0.0026 115000
II/358/smss SkyMapper Southern Sky Survey. DR1.1 (Wolf+, 2018)
SkyMapper DR1.1 (original column names in green) (285159194 rows)
img(gal)
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_r
arcsec
ObjectId

RAICRS
deg
DEICRS
deg
e_RAICRS
mas
e_DEICRS
mas
SMSS

EpMean
d
flags

ClassStar

RadrPetro
pix
a
pix
b
pix
PA
deg
uPSF
mag
uPetro
mag
vPSF
mag
vPetro
mag
gPSF
mag
gPetro
mag
rPSF
mag
rPetro
mag
iPSF
mag
iPetro
mag
zPSF
mag
zPetro
mag
(u-v)PSF
mag
(u-g)PSF
mag
(g-r)PSF
mag
(g-i)PSF
mag
(i-z)PSF
mag
10.128 55583694146.837625980-19.519608974 34 36094721.03-193110.657023.2203 0 0.984 4.89 2.98 2.63 78.3515.61415.72815.20215.25614.11714.10913.84213.83213.66113.67713.61913.650 0.412 1.497 0.275 0.456 0.042

Note:

II/359/vhs_dr4 The VISTA Hemisphere Survey (VHS) catalog DR4.1 (McMahon+, 2013)
The VISTA Hemisphere Survey band-merged multi-waveband catalogues (VHS) DR4.1 of 1,155,634,198 sources (original column names in green) (1155634198 rows)
img(gal)

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_r
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SrcID

RAJ2000
deg
DEJ2000
deg
FrameID

PriOrSec

Y-Jpnt
mag
J-Hpnt
mag
H-Kspnt
mag
J-Kspnt
mag
Y-Jext
mag
J-Hext
mag
H-Ksext
mag
J-Ksext
mag
Mclass

Ypmag
mag
Yap3
mag
Yapc3
mag
Yavgap3

Yperrbits

Jpmag
mag
Jap3
mag
Japc3
mag
Javgap3

Jperrbits

Hpmag
mag
Hap3
mag
Hapc3
mag
Havgap3

Hperrbits

Kspmag
mag
Ksap3
mag
Ksapc3
mag
Ksavgap3

Ksperrbits

10.110473134514127146.837632-19.519611472446407843         0.3264       0.4763-1         0 12.7227 12.7266 13.1043110.941 0         0 12.4206 12.4002 12.6279111.016 0

Note:

II/363/unwise The band-merged unWISE Catalog (Schlafly+, 2019)
The band-merged unWISE catalog (original column names in green) (2214734224 rows)
img(gal)

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_r
arcsec
objID

RAJ2000
deg
DEJ2000
deg
FW1
309.05nJy
FW2
167.66nJy
e_FW1
309.05nJy
e_FW2
167.66nJy
q_W1

q_W2

fFW1

fFW2

10.1491472m197o0017779146.8376160-19.5196101 1.1625e+04 1.1040e+04 1.9340e+01 4.6011e+01 1.00000 1.00000 0.9944 0.9976
II/365/catwise The CatWISE2020 catalog (updated version 28-Jan-2021) (Marocco+, 2021)
The CatWISE2020 catalog (original column names in green) (1890715640 rows)
img(gal)
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_r
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RA_ICRS
deg
e_
arcsec
DE_ICRS
deg
e_
arcsec
Name

nW1

mW1

nW2

mW2

RAPMdeg
deg
e_
arcsec
DEPMdeg
deg
e_
arcsec
pmRA
arcsec/yr
e_
(...)
pmDE
arcsec/yr
e_
(...)
snrW1pm

snrW2pm

FW1pm
ct
e_
ct
FW2pm
ct
e_
ct
W1mproPM
mag
W2mproPM
mag
pmQual

Dist
arcsec
snrdELON

snrdELAT

chi2pmRA

chi2pmDE

ka

k1

k2

km

Sep
arcsec
abf

WISEA

10.171146.8376115 0.0195-19.5196055 0.0226J094721.02-193110.5 12 12 12 12146.8376218 0.0196-19.5196051 0.0225 -0.01038 0.0044 0.01294 0.0050 86.4 118.6 1.2e+04 1e+02 1.1e+04 1e+0212.31612.3682N000 0.001 1.091 0.018 2.87e+01 5.96e+003333 0.06300WISEA

Note:

II/367/vhs_dr5 The VISTA Hemisphere Survey (VHS) catalog DR5 (McMahon+, 2020)
2021yCat.2367....0M

The VISTA Hemisphere Survey band-merged multi-waveband catalogues (VHS) DR5 of 1,374,207,485 sources (original column names in green) (1374207485 rows)
img(gal)

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_r
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SrcID

RAJ2000
deg
DEJ2000
deg
Name

PriOrSec

Y-Jpnt
mag
J-Hpnt
mag
H-Kspnt
mag
J-Kspnt
mag
Y-Jext
mag
J-Hext
mag
H-Ksext
mag
J-Ksext
mag
Mclass

AY
mag
AJ
mag
AH
mag
AKs
mag
Ypmag
mag
Yap3
mag
Yapc3

Yavgap3

Yperrbits

Jpmag
mag
Jap3
mag
Japc3
mag
Javgap3

Jperrbits

Hpmag
mag
Hap3
mag
Hapc3
mag
Havgap3

Hperrbits

Kspmag
mag
Ksap3
mag
Ksapc3
mag
Ksavgap3

Ksperrbits

10.110472666398222146.837632-19.519611VHS J094721.03-193110.6 0       0.3264       0.4763-1 0.0535 0.0379 0.0242 0.0158         0 12.7227 12.7266 13.1043110.941 0         0 12.4206 12.4002 12.6279111.016 0

Note:

II/374/table2 RGB photometric calibration of 213 million Gaia stars (Carrasco+, 2023)
Catalogue with RGB magnitudes for Gaia DR3 objects (213064002 rows)
img(gal)

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GaiaDR3

RA_ICRS
deg
DE_ICRS
deg
Brgb
mag
Grgb
mag
Rrgb
mag
e_Brgb
mag
e_Grgb
mag
e_Rrgb
mag
objtype

qlflag

10.2025671520948777612672146.83760477368-19.51959980931 14.242 13.993 13.814 0.002 0.002 0.00200

Note:

IV/38/tic TESS Input Catalog - v8.0 (TIC-8) (Stassun+, 2019)
Transiting Exoplanet Survey Satellite (TESS) Input Catalog - v8.0 (TIC-8) (original column names in green) (1727987580 rows)
img(gal)

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_r
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TIC

RAJ2000
deg
DEJ2000
deg
TYC

UCAC4

2MASS

GAIA

S/G

Ref

pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
r_pm

Teff
K
s_
K
logg
[cm/s2]
s_
(...)
[M/H]
[Sun]
e_
(...)
Rad
Rsun
s_
Rsun
Mass
Msun
s_
Msun
LClass

Dist
pc
s_
pc
Ncont

Rcont

e_Mass
Msun
E_Mass
Msun
e_Rad
Rsun
E_Rad
Rsun
e_logg
[cm/s2]
E_logg
[cm/s2]
e_Dist
pc
E_Dist
pc
r_Dist

e_Teff
K
E_Teff
K
r_Teff

e_RAJ2000
mas
e_DEJ2000
mas
RAOdeg
deg
DEOdeg
deg
e_RAOdeg
mas
e_DEOdeg
mas
Sloan

10.001 418133033146.83764991998-19.51963608161  353-05834709472103-19311065671520948777612672STARtmgaia2 -9.573 0.038 8.159 0.039gaia2 5693.4 71.5 3.8190  -0.0435 0.0805 2.050   1.010  DWARF 1274.7300 37.3350                    bj2018    spect 0.59932245252 0.60513471703146.83760619022-19.51960095147 0.01909938353 0.01963135171Sloan

Note:

IV/39/tic82 TESS Input Catalog version 8.2 (TIC v8.2) (Paegert+, 2021)
Transiting Exoplanet Survey Satellite (TESS) Input Catalog - v8.2 (TIC-8.2) (original column names in green) (1727987580 rows)
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_r
arcsec
TIC

RAJ2000
deg
DEJ2000
deg
TYC

UCAC4

2MASS

GAIA

S/G

Ref

pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
r_pm

Teff
K
s_
K
logg
[cm/s2]
s_
(...)
[M/H]
[Sun]
e_
(...)
Rad
Rsun
s_
Rsun
Mass
Msun
s_
Msun
LClass

Dist
pc
s_
pc
Ncont

Rcont

e_Mass
Msun
E_Mass
Msun
e_Rad
Rsun
E_Rad
Rsun
e_logg
[cm/s2]
E_logg
[cm/s2]
e_Dist
pc
E_Dist
pc
r_Dist

e_Teff
K
E_Teff
K
r_Teff

e_RAJ2000
mas
e_DEJ2000
mas
RAOdeg
deg
DEOdeg
deg
e_RAOdeg
mas
e_DEOdeg
mas
Sloan

10.001 418133033146.83764991998-19.51963608161  353-05834709472103-19311065671520948777612672STARtmgaia2 -9.573 0.038 8.159 0.039gaia2 5693.4 71.5 3.8190  -0.0435 0.0805 2.050   1.010  DWARF 1274.7300 37.3350                    bj2018    spect 0.599322 0.605135146.83760619022-19.51960095147 0.019099 0.019631Sloan
V/155/gdr2ap GDR2AP. Gaia DR2, 2MASS, AllWISE astrophys. param. (Fouesneau+, 2022)
Sample records of GDR2AP (123097070 rows)
img(gal)
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_r
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GaiaDR2

RA_ICRS
deg
DE_ICRS
deg
A0best
mag
R0best

dmodbest
mag
logAbest
[yr]
logLbest
[Lsun]
logMbest
[Msun]
logTbest
[K]
loggbest
[cm/s2]
ABPbest
mag
AGbest
mag
ARPbest
mag
BPbest
mag
Gbest
mag
Hbest
mag
Jbest
mag
Ksbest
mag
RPbest
mag
W1best
mag
W2best
mag
10.25671520948777612672146.8376-19.5196 0.1479 3.1799910.582510.1294 0.64603 0.01911 3.77925 3.9211 0.1777 0.1216 0.0883 3.5623 3.2285 1.8550 2.1811 1.7898 2.7032 1.7674 1.7704
VI/42/out Identification of a Constellation From Position (Roman 1987)
Compute constellation name from Position (357 rows)
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RA1875
deg
DE1875
deg
Cst

10.0145.3723-18.9418Hya

Note: See also the DENIS home page

B/denis/denis The DENIS database (DENIS Consortium, 2005)

3rd release of DENIS (2005Sep) (355220325 rows)
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Strip

RAJ2000
deg
DEJ2000
deg
Imag
mag
e_
mag
Jmag
mag
e_
mag
Kmag
mag
e_
mag
Rmag
mag
Bmag
mag
Ipsf

Jpsf

Kpsf

DENIS

10.178 8920146.837678-19.51967813.208 0.0312.741 0.0712.321 0.1213.914.5 99 99 97J094721.0-193110
J/ApJ/867/105/refcat2 ATLAS all-sky stellar ref. catalog, ATLAS-REFCAT2 (Tonry+, 2018)
ATLAS all-sky stellar reference catalog, ATLAS-REFCAT2 (original column names in green) (992637834 rows)
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GaiaDR2

RA_ICRS
deg
DE_ICRS
deg
Plx
mas
pmRA
mas/yr
pmDE
mas/yr
Gmag
mag
BPmag
mag
RPmag
mag
Teff
K
AG
mag
dupvar

Ag
mag
rp1
arcsec
r1
arcsec
r10
arcsec
gmag
mag
rmag
mag
imag
mag
zmag
mag
Jmag
mag
Hmag
mag
Kmag
mag
10.195GaiaDR2146.83760619-19.51960095 0.75 -9.57 8.1513.80614.14713.3085786 1.3192 0.12928.899.999.914.17313.78513.67413.61012.72912.40512.356
J/ApJS/264/41/catalog Stellar radii & extinctions from APOGEE, GALAH & RAVE (Yu+, 2023)
*SED-fitting-based stellar parameters of ∼1.5 million stars (Table 4) (1566810 rows) (Note)
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ID

Gaia

Teff
K
e_
K
logg
[cm/s2]
e_
(...)
FeH
[-]
e_
[-]
Dist
pc
e_
pc
Av
mag
e_
mag
Fbol
mW/m2
e_
(...)
angRad
mas
e_
mas
logL
[Lsun]
e_
(...)
Rad
[Rsun]
e_
(...)
Np

Ref

ruwe

RAJ2000
deg
DEJ2000
deg
GLON
deg
GLAT
deg
Uniq

Bin

Simbad

10.201170216002801172 5671520948777612672 5792.60 156.40 4.000 0.060-0.020 0.100 1165.887 20.786 0.104 0.1137.78574e-116.44063e-12 0.00720 0.00049 0.517 0.039 1.806 0.12724GALAH_DR3 1.01146.837605-19.519600254.229370 25.475042Y  Gaia DR3 5671520948777612672
J/A+A/638/A76/galah StarHorse data for 5 surveys (Queiroz+, 2020)
GALAH DR2 StarHorse (324999 rows)
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ID

GaiaDR2

GLON
deg
GLAT
deg
Mass50
Msun
Teff50
K
logg50
[cm/s2]
Met50
[-]
Dist50
kpc
AV50
mag
finput

foutput

_RA.icrs
deg
_DE.icrs
deg
10.07309472103-19311065671520948777612672254.229416+25.475029 1.108000 5671.05 3.916613-0.041296 1.251376 0.000477TEFF_LOGG_Fe_ALPHA_PARALLAX_JHKsw1w2BVgriGgaia  146.837628-19.519639
J/A+A/659/A95/sos Survey of Surveys. I. Radial velocities (Tsantaki+, 2022)
The SoS I radial velocities (11541195 rows)
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SoS

RAJ2000
deg
DEJ2000
deg
RVcormerg
km/s
e_
km/s
s_
km/s
N

flagXM

flagRV

flagBinary

Gmag
mag
Survey

10.195 623444146.83760619000-19.51960095150 28.781 0.235  1   0.0  13.8062GALAH
J/A+A/659/A95/galah Survey of Surveys. I. Radial velocities (Tsantaki+, 2022)
The GALAH calibrated radial velocities (342682 rows)
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SoS

Name

GaiaDR2

RAJ2000
deg
DEJ2000
deg
RVcor
km/s
e_
km/s
s_
km/s
N

flagXM

flagRV

flagBinary

Teff
K
e_
K
logg
[cm/s2]
e_
(...)
[Fe/H]
[-]
e_
[-]
10.195 62344409472103-19311065671520948777612672146.83760619000-19.51960095150 29.121 0.235  1  0  5693.4 71.5 3.871 0.193-0.044 0.080
J/A+A/673/A155/galahdr3 StarHorse data for 8 spectroscopic surveys (Queiroz+, 2023)
GALAH DR3 StarHorse (corrected version) (557559 rows)
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Survey

GaiaEDR3

GLON
deg
GLAT
deg
Mass50
Msun
Teff50
K
logg50
[cm/s2]
Dist50
kpc
AV50
mag
Age50
Gyr
10.195 1702160028011725671520948777612672254.229370+25.475042 1.099839 5776.6743 3.970056 1.173797 0.077325 7.112887
J/AJ/155/39/table5 Variability properties of TIC sources with KELT (Oelkers+, 2018)
Variability Upper Limits for Non-Variable Sources in the TESS Input Catalog (3873790 rows)
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2MASS

m_

TIC

RAJ2000
"h:m:s"
DEJ2000
"d:m:s"
Tmag
mag
rms30m
mag
rms2h
mag
rms1d
mag
2M

10.6J09472103-1931106  41813303309 47 21.0-19 31 1113.29900 0.091 0.064 0.0562M
J/AJ/158/93/table2 Regression of stellar effective temperatures in GaiaDR2 (Bai+, 2019)
Results of our regression in Gaia DR2 (Cat. I/345) (original column names in green) (132739322 rows)
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Source

RA_ICRS
deg
DE_ICRS
deg
Teff
K
e_
K
10.1955671520948777612672146.83760619022-19.519600951475787 94
J/AJ/159/84/table2 Machine-learning regression of extinction in Gaia DR2 (Bai+, 2020)
Results of our regression for Gaia DR2 (132739322 rows)
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Source

RA_ICRS
deg
DE_ICRS
deg
E(BP-RP)
mag
e_
mag
10.1955671520948777612672146.83760619022-19.51960095147 6.70e-03 0.011080
J/MNRAS/478/4513/catalog GALAH Survey DR2 (Buder+, 2018)
GALAH DR2 catalog (342682 rows)
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StarId

GaiaId

RAJ2000
deg
DEJ2000
deg
Jmag
mag
Hmag
mag
Kmag
mag
RVsynt
km/s
Teff
K
logg
[cm/s2]
[Fe/H]
[-]
vmic
km/s
vsini
km/s
[alpha/Fe]
[-]
[Li/Fe]
[-]
[C/Fe]
[-]
[O/Fe]
[-]
[Na/Fe]
[-]
[Mg/Fe]
[-]
[Al/Fe]
[-]
[Si/Fe]
[-]
[K/Fe]
[-]
[Ca/Fe]
[-]
[Sc/Fe]
[-]
[Ti/Fe]
[-]
[V/Fe]
[-]
[Cr/Fe]
[-]
[Mn/Fe]
[-]
[Co/Fe]
[-]
[Ni/Fe]
[-]
[Cu/Fe]
[-]
[Zn/Fe]
[-]
[Y/Fe]
[-]
[Ba/Fe]
[-]
[La/Fe]
[-]
[Eu/Fe]
[-]
Simbad

10.07809472103-19311065671520948777612672146.837627-19.51963812.72912.40512.356 29.0295693.414 3.87102-0.04350 1.100 5.173 1.3897e-02 1.3842e+00-7.6396e-02 1.3304e-01 2.0125e-01 2.3321e-01-6.4412e-02-1.3439e-02 2.8002e-01-4.6876e-02 1.4022e-01-1.4297e-02 8.8509e-02-5.9901e-02-2.0415e-02-3.1358e-01-6.5107e-02-3.5494e-02 2.0050e-01-1.3914e-03 9.1929e-02-2.2085e-01-7.3414e-01GALAH 170216002801172
J/MNRAS/500/4849/emigalah GALAH emission-line stars (Cotar+, 2021)
Catalogue of all analysed objects (658919 rows)
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GaiaDR2

GALAH

RAJ2000
deg
DEJ2000
deg
EWHa
0.1nm
EWHb
0.1nm
EWNII
0.1nm
EWSII
0.1nm
RVNII
km/s
RVSII
km/s
10.0585671520948777612672170216002801172146.83766666700001-19.519638888900001-3.9302558026558000182e-02 6.3237882264175499653e-03-1.7535104743707000639e-03 0.0000000000000000000e+00-9.76905392375378057e+01 -45.3115535593564970895
J/MNRAS/507/318/table2 15 million Gaia stars RGB phot. calibration (Cardiel+, 2021)
Catalogue with RGB magnitudes for ∼15 million stars (14854959 rows)
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GaiaEDR3

RA_ICRS
deg
DE_ICRS
deg
Brgb
mag
Grgb
mag
Rrgb
mag
Gmean
mag
Gmag
mag
BPmag
mag
RPmag
mag
Av50
mag
met50

dist50
kpc
_RA.icrs
deg
_DE.icrs
deg
10.2025671520948777612672146.837604774-19.51959980914.2313.9913.8314.0313.792714.126813.2963 0.021-0.137 1.233146.837604774-19.519599809
J/MNRAS/522/29/table2 15000 ellipsoidal binary candidates in TESS (Green+, 2023)
Results for all TESS input targets (8975643 rows)
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TIC

RAJ2000
deg
DEJ2000
deg
Score

a1c

e_

a2c

e_

a3c

e_

a1s

e_

a3s

e_

Porb
d
chisq

10.001 418133033146.83764992-19.51963608 0.000000-3.09763e-04 1.51724e-04-3.12085e-04 1.50746e-04 2.42313e-04 1.51672e-04 3.05028e-05 1.52798e-04 1.79380e-04 1.50727e-04 1.307309 2.88284e-01
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