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.
I/197A/tic Tycho Input Catalogue, Revised version (Egret+ 1992)
The catalogue, zones 0/37.5deg (3154204 rows)
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Flag1

10.9197689 4709 08 35.342-43 15 41.62 56 0.7011.95   0.000

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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ACTflag

Mflag

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mag
Rmag
mag
Epoch
yr
10.2000450-08351123137.147550-43.261456    12.511.61980.616

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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Plate

Epoch
yr
10.360768900047137.14756-43.26150 0.411.67 0.40 0002FD1979.002
20.400768900047137.14768-43.26143 0.511.63 0.40 03014C1975.267
30.550768900047137.14762-43.26154 0.312.38 0.40 0001FO1979.223
41.510768900047137.14704-43.26162 0.211.84 0.1710006EP1986.132

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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10.020768900047137.14754-43.26140 0.411.69 0.40 001979.002
20.340768900047137.14762-43.26147 0.312.38 0.42 001979.223
30.550768900047137.14769-43.26130 0.511.64 0.42 031975.267
41.510768900047137.14704-43.26162 0.211.85 0.181001986.132
I/259/tyc2 The Tycho-2 Catalogue (Hog+ 2000)
*The Tycho-2 main catalogue (2539913 rows) (Note)
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HIP

RA(ICRS)
deg
DE(ICRS)
deg
10.2457689 471 -8.6 3.912.50011.895  137.14749972-43.26146556

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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10.249S1331302640137.147473-43.2614561953.810    12.50 0.210    

Note: Detailed introduction can be found in intro.tex (see also http://aries.usno.navy.mil/ad/ac.html) Direct links to Hipparcos and Tycho observations are provided from the relevant columns.

I/275/ac2002 The AC 2000.2 Catalogue (Urban+ 2001)
All 4,621,751 stars from the AC2000.2 Catalogue (Detailed introduction) (4621751 rows) (Note)
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ACnum

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10.96109 08 35.479-43 15 41.6112.501900.284 0.191 0.063 360477476890000470111.895
I/280B/ascc All-sky Compiled Catalogue of 2.5 million stars (Kharchenko+ 2009)
ASCC-2.5 V3: All-sky Compiled Catalogue of 2.5 million stars, 3rd version (2501313 rows)
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SpType

10.246137.14750110-43.26146611     -8.60 3.8612.39711.82910.85210.77410.687  

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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Epoch
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pmRA
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Ndet

B1mag
mag
R1mag
mag
B2mag
mag
R2mag
mag
Imag
mag
10.2580467-0160526137.147473-43.261459 0 02000.0 -10 2012.3911.5312.1211.5011.24

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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2UCAC

RAJ2000
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Nc

pmRA
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2Mkey

Jmag
mag
Kmag
mag
10.00713311151137.1475348 15-43.2614023 1511.65 4 4 -7.6 5.8 33480830710.85210.687

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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r

pmRA
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mag
r_

Vmag
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r_

Rmag
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r_

Jmag
mag
Hmag
mag
Kmag
mag
R

10.0060467-0167275YM137.1475347-43.2614022C -7.5 1.8 5.8 1.412.354T11.840T11.500B10.85210.77510.687R

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
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Nmag
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Class

a
pix
e

10.245S67M000640137.147474-43.2614552000.000    11.90  0    

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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RAJ2000
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Cmag
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Jmag
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Hmag
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Nobs

P

sub

10.008090835.4-431541137.147532-43.261404 -8.01 5.9211.84011.44610.85210.77510.687 8  S
I/317/sample The PPMXL Catalog (Roeser+ 2010)
PPMXL catalog of positions and proper motions on the ICRS (910469430 rows)
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b1mag
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r1mag
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r2mag
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imag
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No

fl

10.008137.147532-43.261404 -8.0 5.910.85210.68711.8412.4011.45  11.83 8 2
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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pmRAx
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pmDEx
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Fmag
mag
Bjmag
mag
Vmag
mag
Nmag
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Jmag
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e_
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Hmag
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Kmag
mag
e_
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2Mkey

Bmag
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Rmag
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Fld

dT
yr
fg

fs

M

10.111XPM 093-0265650137.147490-43.261399 -7.00 -0.63 -7.07 0.14        10.852 0.02210.775 0.02110.687 0.021 33480830712.511.6 26118.58627700M

Note:

I/320/spm4 SPM 4.0 Catalog (Girard+, 2011)
Yale/San Juan Southern Proper Motion Catalog 4 (SPM4) (103319647 rows)
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N2

Nc

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Hmag
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2M

igal

A

10.1202860000949137.1475779 7.5-43.2613999 7.5 -3.94 1.27 0.01 1.282004.67 4 0 312.3411.8110.85210.77510.6872M0A

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
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ePos
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f.mag
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of

db

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

A

b

h

Z

B

L

N

S

10.005234-033399137.1475342-43.2614025 3311.8221 0 -5.6 2.810.85210.68712.30711.83511.78011.922310000001

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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magBJ
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magRF
mag
e_
mag
magG
mag
e_
mag
magGrvs
mag
e_
mag
alphaEpoch
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deltaEpoch
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pmRA
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e_
(...)
10.004137.147534-43.261402 0.015 0.02612.279 0.20611.457 0.17211.646 0.60310.903 0.6031983.89001983.8900 -5.6 1.1 2.8 1.8
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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RADEcor

Dup

<FG>
e-/s
e_
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mag
Var

10.140137.1474890060 0.176-43.2613789271 0.1935427226503220881920 0.45 -8.971 4.652-0.3450 3.3843e+05 1.3800e+0211.701NOT_AVAILABLE
I/337/tgas Gaia DR1 (Gaia Collaboration, 2016)
TGAS: Subset of GaiaSource comprising those stars in the Hipparcos and Tycho-2 Catalogues for which a full 5-parameter astrometric solution has been possible in Gaia Data Release (TgasSource) (Download Tgas Sources as vo tables, fits or csv here) (original column names in green) (2057050 rows)
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TYC2

Source

RA_ICRS
deg
e_
mas
DE_ICRS
deg
e_
mas
Plx
mas
e_
mas
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
Dup

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

_RA.icrs
deg
_DE.icrs
deg
10.140  7689-47-15427226503220881920137.1474890060 0.176-43.2613789271 0.193 0.45 0.27 -8.971 0.907 4.652 0.7960 338426.52854 137.9971211.701NOT_AVAILABLE137.1475403345-43.2613983104
I/337/tgasptyc Gaia DR1 (Gaia Collaboration, 2016)
TGAS supplement with BT and VT magnitudes (original column names in green) (2057050 rows)
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Plx
mas
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pmRA
mas/yr
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(...)
pmDE
mas/yr
e_
(...)
Dup

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

TYC

BTmag
mag
VTmag
mag
_RA.icrs
deg
_DE.icrs
deg
10.140  5427226503220881920137.1474890060 0.176-43.2613789271 0.193 0.45 0.27 -8.971 0.907 4.652 0.7960 338426.52854 137.9971211.701NOT_AVAILABLE7689-47-112.50011.895137.1475403345-43.2613983104

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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mag
Kmag
mag
B1mag
mag
B2mag
mag
R1mag
mag
R2mag
mag
Imag
mag
GaiaId

Gmag
mag
Clone

Nosc

10.007137.1475331504-43.26140360496142635049131648932   -7.715 5.92310.85210.77510.68711.8412.4011.45  11.83542722650322088192011.701    

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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Org

Nu

EPucac
yr
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mas/yr
e_
(...)
Gmag
mag
f.mag
mag
Rmag
mag
Jmag
mag
Hmag
mag
Kmag
mag
10.024137.1475416-43.26140225427226503220881920137.1474889 0.2-43.2613789 0.21 41999.029 -8.6 1.1 5.3 1.111.70111.84011.50010.85210.77510.687
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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mas
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(...)
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
10.145137.14748753501 0.0221-43.26137814346 0.02445427226507527863808 0.7831 0.0298 -7.711 0.050 5.348 0.0480 3.6977e+05 7.5790e+0111.76850.0002 2.1591e+05 2.4937e+0212.01570.0013 2.2842e+05 1.5182e+0211.36510.0007 0.6506    6509.95     3.80 23.323
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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ResFlag

ModFlag

10.1455427226507527863808137.14748753501-43.26137814346 1232.300430928670039 1188.305976573630005 1279.609666922050110875.34335441178711
I/349/starhorse StarHorse, Gaia DR2 photo-astrometric distances (Anders+, 2019)
Starhorse catalog (265637087 rows)
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dist50
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AG50
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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

10.145137.1474875350-43.26137814355427226507527863808 1.204918 1.550882 1.43416111304.44 3.931896-0.046323 2.944709 1.728208 0.967939-0.109632 -0.088879 -8.286411 -1.200141 0.074406 8.372870 0.975058
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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Plx
mas
e_
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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
10.150137.14748607818 0.0089-43.26137732619 0.01035427226507527863808 0.8124 0.0124 9.373 -7.581 0.011 5.512 0.013 0.894 3.7183e+05 6.0506e+0111.761510 0.002761 2.1573e+05 1.0842e+0212.003788 0.002843 2.2717e+05 7.3596e+0111.357037 0.003796 0.646751            435922258  11.761510 0.002761 3.7183e+05137.14753234760-43.26140182412
I/350/tyc2tdsc Gaia EDR3 (Gaia Collaboration, 2020)
Tycho-2 merged with the TDSC catalog and TDSC supplement (2561887 rows)
img(gal)
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_r
arcsec
IDTyc2

RAT
deg
DET
deg
pmRA
mas/yr
pmDE
mas/yr
EpRA1990
yr
EpDE1990
yr
CCDM

BTmag
mag
VTmag
mag
TDSC

WDS

PA
deg
Sep
arcsec
_RA.icrs
deg
_DE.icrs
deg
10.2457689-47-1137.14749972000-43.26146556000 -8.6 3.9 1.67 1.76  12.50011.895        137.14746691614-43.26145472666
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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deg
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rgeo
pc
b_
pc
B_
pc
rpgeo
pc
b_
pc
B_
pc
Flag

10.1505427226507527863808137.14748607818-43.26137732619 1179.47827000 1160.83179000 1197.28101000 1180.16345000 1162.87109000 1196.6964100010033
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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_r
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GSC2

RA_ICRS
deg
DE_ICRS
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
10.145S67M000640137.14748753501-43.26137814346 213313026402015.500011.768529            12.30700011.835000  12.04911.78011.922     10.852 10.775 10.687    10.63310.64910.705 8.531          
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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_r
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Source

RA_ICRS
deg
DE_ICRS
deg
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
10.1505427226507527863808137.1474860782-43.2613773262 2.59333810588.66 3.885204-0.003754 1.145210 1.502310 1.000000 -8.282129 -1.140671 0.060264 8.360311 0.0026894808 1.379694 1.639776 0.929690 0.087389-0.063335
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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_r
arcsec
RA_ICRS
deg
DE_ICRS
deg
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
10.150137.14748607818-43.261377326195427226507527863808 0.0089 0.0103 0.8124 0.0124 9.373 -7.581 0.011 5.512 0.013 0.894 371828.69504 6.0506e+0111.761510 2.1573e+05 1.0842e+0212.003788 2.2717e+05 7.3596e+0111.357037 0.646751 44.80 8.22  11.18111800011000010                4359222587689-47-1  J090835.40-431540.942300733S67M000640  09083540-4315410  137.14753234763-43.26140182414
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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_r
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Source

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
10.1505427226507527863808137.14748607818-43.26137732619 0.00000000 0.00000000 0.99997705 0.00000000 0.00002300                                
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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Source

RA_ICRS
deg
DE_ICRS
deg
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

10.1505427226507527863808137.14748607818-43.26137732619454546903015620608053 1.0000001965 17 1.062422 2.15590e+03 34 0 016 1.000000 2591 25 1.070373 2.90549e+03 45 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_
(...)
10.1505427226507527863808137.14748607818-43.26137732619 336 4.1856697e-16 2.4902999e-17
20.1505427226507527863808137.14748607818-43.26137732619 338 4.0569964e-16 1.9538625e-17
30.1505427226507527863808137.14748607818-43.26137732619 340 3.8178102e-16 1.6695833e-17
40.1505427226507527863808137.14748607818-43.26137732619 342 3.5780678e-16 1.3172331e-17
50.1505427226507527863808137.14748607818-43.26137732619 344 3.4843524e-16 1.2762564e-17
60.1505427226507527863808137.14748607818-43.26137732619 346 3.5032748e-16 1.2942151e-17
70.1505427226507527863808137.14748607818-43.26137732619 348 3.5388370e-16 1.2354019e-17
80.1505427226507527863808137.14748607818-43.26137732619 350 3.4271342e-16 1.2781538e-17
90.1505427226507527863808137.14748607818-43.26137732619 352 3.2977798e-16 1.4326747e-17
100.1505427226507527863808137.14748607818-43.26137732619 354 3.3757003e-16 1.4232410e-17
110.1505427226507527863808137.14748607818-43.26137732619 356 3.5303470e-16 1.3561958e-17
120.1505427226507527863808137.14748607818-43.26137732619 358 3.4784462e-16 1.1913013e-17
130.1505427226507527863808137.14748607818-43.26137732619 360 3.2879429e-16 1.0761061e-17
140.1505427226507527863808137.14748607818-43.26137732619 362 3.0522409e-16 1.0702853e-17
150.1505427226507527863808137.14748607818-43.26137732619 364 2.9787931e-16 1.0120193e-17
160.1505427226507527863808137.14748607818-43.26137732619 366 3.0919363e-16 1.1223598e-17
170.1505427226507527863808137.14748607818-43.26137732619 368 3.1863450e-16 1.0865118e-17
180.1505427226507527863808137.14748607818-43.26137732619 370 3.1586621e-16 1.2458128e-17
190.1505427226507527863808137.14748607818-43.26137732619 372 3.2527818e-16 1.2169453e-17
200.1505427226507527863808137.14748607818-43.26137732619 374 3.7190991e-16 1.3480320e-17
210.1505427226507527863808137.14748607818-43.26137732619 376 4.4471977e-16 1.4494654e-17
220.1505427226507527863808137.14748607818-43.26137732619 378 5.1891208e-16 1.4432497e-17
230.1505427226507527863808137.14748607818-43.26137732619 380 5.7999591e-16 1.6882637e-17
240.1505427226507527863808137.14748607818-43.26137732619 382 6.3765725e-16 1.5315274e-17
250.1505427226507527863808137.14748607818-43.26137732619 384 7.0493523e-16 1.6086310e-17
260.1505427226507527863808137.14748607818-43.26137732619 386 7.6569793e-16 1.5501598e-17
270.1505427226507527863808137.14748607818-43.26137732619 388 7.9574987e-16 1.2895853e-17
280.1505427226507527863808137.14748607818-43.26137732619 390 7.9238884e-16 1.3106473e-17
290.1505427226507527863808137.14748607818-43.26137732619 392 7.7797896e-16 1.1216841e-17
300.1505427226507527863808137.14748607818-43.26137732619 394 7.6912090e-16 9.8823615e-18
310.1505427226507527863808137.14748607818-43.26137732619 396 7.7471147e-16 1.0149606e-17
320.1505427226507527863808137.14748607818-43.26137732619 398 7.9354017e-16 8.8163606e-18
330.1505427226507527863808137.14748607818-43.26137732619 400 8.1646136e-16 8.3420635e-18
340.1505427226507527863808137.14748607818-43.26137732619 402 8.3713119e-16 8.7710617e-18
350.1505427226507527863808137.14748607818-43.26137732619 404 8.4272462e-16 7.9225821e-18
360.1505427226507527863808137.14748607818-43.26137732619 406 8.3248034e-16 7.6255117e-18
370.1505427226507527863808137.14748607818-43.26137732619 408 8.1100112e-16 8.0892432e-18
380.1505427226507527863808137.14748607818-43.26137732619 410 7.8760522e-16 7.6405887e-18
390.1505427226507527863808137.14748607818-43.26137732619 412 7.7389234e-16 7.3206560e-18
400.1505427226507527863808137.14748607818-43.26137732619 414 7.8169081e-16 7.7645236e-18
410.1505427226507527863808137.14748607818-43.26137732619 416 8.0802740e-16 7.6675623e-18
420.1505427226507527863808137.14748607818-43.26137732619 418 8.4452515e-16 7.3253394e-18
430.1505427226507527863808137.14748607818-43.26137732619 420 8.7706709e-16 7.5725953e-18
440.1505427226507527863808137.14748607818-43.26137732619 422 8.9204756e-16 7.7075267e-18
450.1505427226507527863808137.14748607818-43.26137732619 424 8.8291734e-16 7.4175279e-18
460.1505427226507527863808137.14748607818-43.26137732619 426 8.5351714e-16 7.3744971e-18
470.1505427226507527863808137.14748607818-43.26137732619 428 8.1034832e-16 7.5170005e-18
480.1505427226507527863808137.14748607818-43.26137732619 430 7.6719543e-16 7.3964538e-18
490.1505427226507527863808137.14748607818-43.26137732619 432 7.3377337e-16 7.2279935e-18
500.1505427226507527863808137.14748607818-43.26137732619 434 7.1561880e-16 7.2620841e-18
510.1505427226507527863808137.14748607818-43.26137732619 436 7.1567164e-16 7.2409728e-18
520.1505427226507527863808137.14748607818-43.26137732619 438 7.3213737e-16 7.0888841e-18
530.1505427226507527863808137.14748607818-43.26137732619 440 7.5641069e-16 7.0433354e-18
540.1505427226507527863808137.14748607818-43.26137732619 442 7.8183661e-16 7.0944460e-18
550.1505427226507527863808137.14748607818-43.26137732619 444 8.0226260e-16 7.0039831e-18
560.1505427226507527863808137.14748607818-43.26137732619 446 8.1439439e-16 6.8420579e-18
570.1505427226507527863808137.14748607818-43.26137732619 448 8.1738886e-16 6.8262389e-18
580.1505427226507527863808137.14748607818-43.26137732619 450 8.1251085e-16 6.8660606e-18
590.1505427226507527863808137.14748607818-43.26137732619 452 8.0349000e-16 6.7579473e-18
600.1505427226507527863808137.14748607818-43.26137732619 454 7.9403913e-16 6.5740121e-18
610.1505427226507527863808137.14748607818-43.26137732619 456 7.8634023e-16 6.5140192e-18
620.1505427226507527863808137.14748607818-43.26137732619 458 7.8328821e-16 6.5485854e-18
630.1505427226507527863808137.14748607818-43.26137732619 460 7.8346487e-16 6.4695922e-18
640.1505427226507527863808137.14748607818-43.26137732619 462 7.8668974e-16 6.2809048e-18
650.1505427226507527863808137.14748607818-43.26137732619 464 7.9083337e-16 6.1554972e-18
660.1505427226507527863808137.14748607818-43.26137732619 466 7.9230917e-16 6.1333751e-18
670.1505427226507527863808137.14748607818-43.26137732619 468 7.9186664e-16 6.0897326e-18
680.1505427226507527863808137.14748607818-43.26137732619 470 7.8534883e-16 5.9153853e-18
690.1505427226507527863808137.14748607818-43.26137732619 472 7.7356258e-16 5.7255692e-18
700.1505427226507527863808137.14748607818-43.26137732619 474 7.5700965e-16 5.6519158e-18
710.1505427226507527863808137.14748607818-43.26137732619 476 7.3637138e-16 5.6466566e-18
720.1505427226507527863808137.14748607818-43.26137732619 478 7.1355967e-16 5.5687941e-18
730.1505427226507527863808137.14748607818-43.26137732619 480 6.9240830e-16 5.4000596e-18
740.1505427226507527863808137.14748607818-43.26137732619 482 6.7311263e-16 5.2379173e-18
750.1505427226507527863808137.14748607818-43.26137732619 484 6.5997229e-16 5.1980063e-18
760.1505427226507527863808137.14748607818-43.26137732619 486 6.5198964e-16 5.2081909e-18
770.1505427226507527863808137.14748607818-43.26137732619 488 6.5122847e-16 5.1574033e-18
780.1505427226507527863808137.14748607818-43.26137732619 490 6.5696760e-16 5.0118567e-18
790.1505427226507527863808137.14748607818-43.26137732619 492 6.6790798e-16 4.8639018e-18
800.1505427226507527863808137.14748607818-43.26137732619 494 6.8060019e-16 4.8053019e-18
810.1505427226507527863808137.14748607818-43.26137732619 496 6.9305268e-16 4.8251381e-18
820.1505427226507527863808137.14748607818-43.26137732619 498 7.0446227e-16 4.8264521e-18
830.1505427226507527863808137.14748607818-43.26137732619 500 7.1320524e-16 4.7383118e-18
840.1505427226507527863808137.14748607818-43.26137732619 502 7.1592950e-16 4.5806127e-18
850.1505427226507527863808137.14748607818-43.26137732619 504 7.1620172e-16 4.4776197e-18
860.1505427226507527863808137.14748607818-43.26137732619 506 7.1283408e-16 4.4713868e-18
870.1505427226507527863808137.14748607818-43.26137732619 508 7.0787099e-16 4.5140917e-18
880.1505427226507527863808137.14748607818-43.26137732619 510 7.0313576e-16 4.5096807e-18
890.1505427226507527863808137.14748607818-43.26137732619 512 6.9892553e-16 4.4065098e-18
900.1505427226507527863808137.14748607818-43.26137732619 514 6.9655966e-16 4.2526766e-18
910.1505427226507527863808137.14748607818-43.26137732619 516 6.9621338e-16 4.1429759e-18
920.1505427226507527863808137.14748607818-43.26137732619 518 6.9726429e-16 4.1346019e-18
930.1505427226507527863808137.14748607818-43.26137732619 520 6.9769617e-16 4.1861270e-18
940.1505427226507527863808137.14748607818-43.26137732619 522 6.9903459e-16 4.2221788e-18
950.1505427226507527863808137.14748607818-43.26137732619 524 6.9989358e-16 4.1739033e-18
960.1505427226507527863808137.14748607818-43.26137732619 526 6.9880287e-16 4.0400386e-18
970.1505427226507527863808137.14748607818-43.26137732619 528 6.9664442e-16 3.8939552e-18
980.1505427226507527863808137.14748607818-43.26137732619 530 6.9362496e-16 3.8163425e-18
990.1505427226507527863808137.14748607818-43.26137732619 532 6.8851767e-16 3.8278023e-18
1000.1505427226507527863808137.14748607818-43.26137732619 534 6.8331016e-16 3.8911672e-18
1010.1505427226507527863808137.14748607818-43.26137732619 536 6.7981419e-16 3.9357828e-18
1020.1505427226507527863808137.14748607818-43.26137732619 538 6.7711268e-16 3.9005234e-18
1030.1505427226507527863808137.14748607818-43.26137732619 540 6.7501369e-16 3.7822788e-18
1040.1505427226507527863808137.14748607818-43.26137732619 542 6.7493756e-16 3.6369403e-18
1050.1505427226507527863808137.14748607818-43.26137732619 544 6.7675428e-16 3.5316398e-18
1060.1505427226507527863808137.14748607818-43.26137732619 546 6.7760666e-16 3.4967348e-18
1070.1505427226507527863808137.14748607818-43.26137732619 548 6.7878806e-16 3.5319347e-18
1080.1505427226507527863808137.14748607818-43.26137732619 550 6.7970725e-16 3.5860819e-18
1090.1505427226507527863808137.14748607818-43.26137732619 552 6.8018916e-16 3.6069215e-18
1100.1505427226507527863808137.14748607818-43.26137732619 554 6.7746341e-16 3.5542131e-18
1110.1505427226507527863808137.14748607818-43.26137732619 556 6.7463051e-16 3.4532555e-18
1120.1505427226507527863808137.14748607818-43.26137732619 558 6.7037496e-16 3.3331270e-18
1130.1505427226507527863808137.14748607818-43.26137732619 560 6.6457586e-16 3.2382446e-18
1140.1505427226507527863808137.14748607818-43.26137732619 562 6.5828939e-16 3.2032516e-18
1150.1505427226507527863808137.14748607818-43.26137732619 564 6.5229965e-16 3.2284158e-18
1160.1505427226507527863808137.14748607818-43.26137732619 566 6.4738500e-16 3.2845940e-18
1170.1505427226507527863808137.14748607818-43.26137732619 568 6.4335339e-16 3.3285692e-18
1180.1505427226507527863808137.14748607818-43.26137732619 570 6.4201085e-16 3.3383849e-18
1190.1505427226507527863808137.14748607818-43.26137732619 572 6.4290844e-16 3.3016333e-18
1200.1505427226507527863808137.14748607818-43.26137732619 574 6.4289954e-16 3.2141587e-18
1210.1505427226507527863808137.14748607818-43.26137732619 576 6.4263643e-16 3.1077209e-18
1220.1505427226507527863808137.14748607818-43.26137732619 578 6.4023081e-16 3.0054472e-18
1230.1505427226507527863808137.14748607818-43.26137732619 580 6.3716476e-16 2.9361169e-18
1240.1505427226507527863808137.14748607818-43.26137732619 582 6.3185397e-16 2.8944871e-18
1250.1505427226507527863808137.14748607818-43.26137732619 584 6.2395814e-16 2.8641251e-18
1260.1505427226507527863808137.14748607818-43.26137732619 586 6.1721777e-16 2.8410236e-18
1270.1505427226507527863808137.14748607818-43.26137732619 588 6.1031487e-16 2.8024319e-18
1280.1505427226507527863808137.14748607818-43.26137732619 590 6.0475855e-16 2.7481947e-18
1290.1505427226507527863808137.14748607818-43.26137732619 592 6.0213571e-16 2.6881585e-18
1300.1505427226507527863808137.14748607818-43.26137732619 594 5.9812464e-16 2.6131920e-18
1310.1505427226507527863808137.14748607818-43.26137732619 596 5.9469601e-16 2.5463091e-18
1320.1505427226507527863808137.14748607818-43.26137732619 598 5.9376046e-16 2.5084422e-18
1330.1505427226507527863808137.14748607818-43.26137732619 600 5.9353356e-16 2.4990586e-18
1340.1505427226507527863808137.14748607818-43.26137732619 602 5.9348491e-16 2.5147988e-18
1350.1505427226507527863808137.14748607818-43.26137732619 604 5.9197889e-16 2.5396509e-18
1360.1505427226507527863808137.14748607818-43.26137732619 606 5.8975601e-16 2.5632495e-18
1370.1505427226507527863808137.14748607818-43.26137732619 608 5.8616628e-16 2.5697056e-18
1380.1505427226507527863808137.14748607818-43.26137732619 610 5.8202434e-16 2.5537849e-18
1390.1505427226507527863808137.14748607818-43.26137732619 612 5.7768865e-16 2.5144057e-18
1400.1505427226507527863808137.14748607818-43.26137732619 614 5.7301345e-16 2.4542058e-18
1410.1505427226507527863808137.14748607818-43.26137732619 616 5.6804301e-16 2.3809809e-18
1420.1505427226507527863808137.14748607818-43.26137732619 618 5.6381388e-16 2.3083796e-18
1430.1505427226507527863808137.14748607818-43.26137732619 620 5.5784049e-16 2.2346441e-18
1440.1505427226507527863808137.14748607818-43.26137732619 622 5.5356250e-16 2.1790795e-18
1450.1505427226507527863808137.14748607818-43.26137732619 624 5.5280091e-16 2.1499384e-18
1460.1505427226507527863808137.14748607818-43.26137732619 626 5.5186902e-16 2.1308855e-18
1470.1505427226507527863808137.14748607818-43.26137732619 628 5.5166409e-16 2.1218953e-18
1480.1505427226507527863808137.14748607818-43.26137732619 630 5.5185266e-16 2.1179610e-18
1490.1505427226507527863808137.14748607818-43.26137732619 632 5.5082611e-16 2.1102959e-18
1500.1505427226507527863808137.14748607818-43.26137732619 634 5.5002889e-16 2.1036098e-18
1510.1505427226507527863808137.14748607818-43.26137732619 636 5.4653626e-16 1.8737262e-18
1520.1505427226507527863808137.14748607818-43.26137732619 638 5.3982204e-16 1.7681780e-18
1530.1505427226507527863808137.14748607818-43.26137732619 640 5.3281919e-16 2.1304022e-18
1540.1505427226507527863808137.14748607818-43.26137732619 642 5.3186607e-16 2.9308521e-18
1550.1505427226507527863808137.14748607818-43.26137732619 644 5.2412059e-16 3.5420606e-18
1560.1505427226507527863808137.14748607818-43.26137732619 646 5.1379176e-16 3.5016512e-18
1570.1505427226507527863808137.14748607818-43.26137732619 648 5.0564701e-16 3.3125217e-18
1580.1505427226507527863808137.14748607818-43.26137732619 650 4.9702623e-16 3.2918281e-18
1590.1505427226507527863808137.14748607818-43.26137732619 652 4.8333818e-16 3.3265389e-18
1600.1505427226507527863808137.14748607818-43.26137732619 654 4.6577775e-16 3.1936176e-18
1610.1505427226507527863808137.14748607818-43.26137732619 656 4.5029913e-16 3.0530579e-18
1620.1505427226507527863808137.14748607818-43.26137732619 658 4.4442993e-16 3.0710509e-18
1630.1505427226507527863808137.14748607818-43.26137732619 660 4.5180907e-16 3.0434272e-18
1640.1505427226507527863808137.14748607818-43.26137732619 662 4.6890050e-16 2.8784965e-18
1650.1505427226507527863808137.14748607818-43.26137732619 664 4.8741277e-16 2.7930816e-18
1660.1505427226507527863808137.14748607818-43.26137732619 666 4.9897128e-16 2.8159360e-18
1670.1505427226507527863808137.14748607818-43.26137732619 668 5.0124318e-16 2.7375470e-18
1680.1505427226507527863808137.14748607818-43.26137732619 670 4.9617650e-16 2.5807051e-18
1690.1505427226507527863808137.14748607818-43.26137732619 672 4.8762580e-16 2.5454897e-18
1700.1505427226507527863808137.14748607818-43.26137732619 674 4.8022565e-16 2.5677175e-18
1710.1505427226507527863808137.14748607818-43.26137732619 676 4.7787222e-16 2.4710499e-18
1720.1505427226507527863808137.14748607818-43.26137732619 678 4.7761996e-16 2.3346360e-18
1730.1505427226507527863808137.14748607818-43.26137732619 680 4.7755871e-16 2.3414106e-18
1740.1505427226507527863808137.14748607818-43.26137732619 682 4.7600176e-16 2.3778121e-18
1750.1505427226507527863808137.14748607818-43.26137732619 684 4.7202023e-16 2.2737431e-18
1760.1505427226507527863808137.14748607818-43.26137732619 686 4.6731316e-16 2.1476258e-18
1770.1505427226507527863808137.14748607818-43.26137732619 688 4.6404382e-16 2.1743960e-18
1780.1505427226507527863808137.14748607818-43.26137732619 690 4.6255321e-16 2.2198233e-18
1790.1505427226507527863808137.14748607818-43.26137732619 692 4.6140722e-16 2.1141396e-18
1800.1505427226507527863808137.14748607818-43.26137732619 694 4.6107921e-16 1.9909007e-18
1810.1505427226507527863808137.14748607818-43.26137732619 696 4.5861911e-16 2.0303450e-18
1820.1505427226507527863808137.14748607818-43.26137732619 698 4.5445695e-16 2.1007741e-18
1830.1505427226507527863808137.14748607818-43.26137732619 700 4.4938978e-16 2.0100979e-18
1840.1505427226507527863808137.14748607818-43.26137732619 702 4.4655413e-16 1.8799030e-18
1850.1505427226507527863808137.14748607818-43.26137732619 704 4.4442156e-16 1.9228448e-18
1860.1505427226507527863808137.14748607818-43.26137732619 706 4.4397682e-16 2.0240967e-18
1870.1505427226507527863808137.14748607818-43.26137732619 708 4.4454835e-16 1.9568107e-18
1880.1505427226507527863808137.14748607818-43.26137732619 710 4.4307497e-16 1.8031613e-18
1890.1505427226507527863808137.14748607818-43.26137732619 712 4.3976958e-16 1.8396005e-18
1900.1505427226507527863808137.14748607818-43.26137732619 714 4.3543894e-16 1.9842485e-18
1910.1505427226507527863808137.14748607818-43.26137732619 716 4.3181433e-16 1.9533119e-18
1920.1505427226507527863808137.14748607818-43.26137732619 718 4.2959319e-16 1.7754059e-18
1930.1505427226507527863808137.14748607818-43.26137732619 720 4.2814170e-16 1.7635408e-18
1940.1505427226507527863808137.14748607818-43.26137732619 722 4.2893473e-16 1.9396835e-18
1950.1505427226507527863808137.14748607818-43.26137732619 724 4.2808587e-16 1.9634257e-18
1960.1505427226507527863808137.14748607818-43.26137732619 726 4.2574076e-16 1.7749120e-18
1970.1505427226507527863808137.14748607818-43.26137732619 728 4.2276828e-16 1.6885027e-18
1980.1505427226507527863808137.14748607818-43.26137732619 730 4.1809549e-16 1.8529030e-18
1990.1505427226507527863808137.14748607818-43.26137732619 732 4.1296091e-16 1.9489943e-18
2000.1505427226507527863808137.14748607818-43.26137732619 734 4.0943910e-16 1.7938417e-18
2010.1505427226507527863808137.14748607818-43.26137732619 736 4.0867974e-16 1.6181627e-18
2020.1505427226507527863808137.14748607818-43.26137732619 738 4.0869440e-16 1.7190401e-18
2030.1505427226507527863808137.14748607818-43.26137732619 740 4.0881050e-16 1.8952801e-18
2040.1505427226507527863808137.14748607818-43.26137732619 742 4.0834508e-16 1.8413497e-18
2050.1505427226507527863808137.14748607818-43.26137732619 744 4.0570919e-16 1.6206218e-18
2060.1505427226507527863808137.14748607818-43.26137732619 746 4.0159666e-16 1.5906368e-18
2070.1505427226507527863808137.14748607818-43.26137732619 748 3.9650660e-16 1.7875638e-18
2080.1505427226507527863808137.14748607818-43.26137732619 750 3.9287392e-16 1.8657888e-18
2090.1505427226507527863808137.14748607818-43.26137732619 752 3.8983627e-16 1.6950581e-18
2100.1505427226507527863808137.14748607818-43.26137732619 754 3.8909475e-16 1.5318847e-18
2110.1505427226507527863808137.14748607818-43.26137732619 756 3.8828610e-16 1.6341327e-18
2120.1505427226507527863808137.14748607818-43.26137732619 758 3.8796671e-16 1.7980673e-18
2130.1505427226507527863808137.14748607818-43.26137732619 760 3.8706081e-16 1.7452702e-18
2140.1505427226507527863808137.14748607818-43.26137732619 762 3.8401689e-16 1.5255266e-18
2150.1505427226507527863808137.14748607818-43.26137732619 764 3.8005924e-16 1.4648109e-18
2160.1505427226507527863808137.14748607818-43.26137732619 766 3.7609504e-16 1.6463477e-18
2170.1505427226507527863808137.14748607818-43.26137732619 768 3.7254513e-16 1.7580599e-18
2180.1505427226507527863808137.14748607818-43.26137732619 770 3.7084270e-16 1.6377775e-18
2190.1505427226507527863808137.14748607818-43.26137732619 772 3.6934731e-16 1.4364210e-18
2200.1505427226507527863808137.14748607818-43.26137732619 774 3.6832450e-16 1.4583906e-18
2210.1505427226507527863808137.14748607818-43.26137732619 776 3.6789110e-16 1.6519142e-18
2220.1505427226507527863808137.14748607818-43.26137732619 778 3.6712094e-16 1.7179521e-18
2230.1505427226507527863808137.14748607818-43.26137732619 780 3.6570081e-16 1.5703062e-18
2240.1505427226507527863808137.14748607818-43.26137732619 782 3.6303020e-16 1.3982583e-18
2250.1505427226507527863808137.14748607818-43.26137732619 784 3.6154937e-16 1.4552914e-18
2260.1505427226507527863808137.14748607818-43.26137732619 786 3.6007921e-16 1.6309706e-18
2270.1505427226507527863808137.14748607818-43.26137732619 788 3.5899797e-16 1.6740002e-18
2280.1505427226507527863808137.14748607818-43.26137732619 790 3.5853004e-16 1.5379556e-18
2290.1505427226507527863808137.14748607818-43.26137732619 792 3.5790093e-16 1.3952303e-18
2300.1505427226507527863808137.14748607818-43.26137732619 794 3.5721542e-16 1.4351863e-18
2310.1505427226507527863808137.14748607818-43.26137732619 796 3.5581101e-16 1.5680298e-18
2320.1505427226507527863808137.14748607818-43.26137732619 798 3.5286879e-16 1.5964899e-18
2330.1505427226507527863808137.14748607818-43.26137732619 800 3.4975205e-16 1.4895452e-18
2340.1505427226507527863808137.14748607818-43.26137732619 802 3.4605457e-16 1.3748989e-18
2350.1505427226507527863808137.14748607818-43.26137732619 804 3.4262027e-16 1.3915872e-18
2360.1505427226507527863808137.14748607818-43.26137732619 806 3.4090434e-16 1.4901852e-18
2370.1505427226507527863808137.14748607818-43.26137732619 808 3.3980715e-16 1.5251727e-18
2380.1505427226507527863808137.14748607818-43.26137732619 810 3.3939218e-16 1.4615397e-18
2390.1505427226507527863808137.14748607818-43.26137732619 812 3.3949110e-16 1.3850299e-18
2400.1505427226507527863808137.14748607818-43.26137732619 814 3.3820017e-16 1.3840690e-18
2410.1505427226507527863808137.14748607818-43.26137732619 816 3.3785934e-16 1.4475862e-18
2420.1505427226507527863808137.14748607818-43.26137732619 818 3.3556740e-16 1.4747287e-18
2430.1505427226507527863808137.14748607818-43.26137732619 820 3.3295603e-16 1.4415733e-18
2440.1505427226507527863808137.14748607818-43.26137732619 822 3.2899403e-16 1.3954847e-18
2450.1505427226507527863808137.14748607818-43.26137732619 824 3.2515408e-16 1.4029729e-18
2460.1505427226507527863808137.14748607818-43.26137732619 826 3.2261044e-16 1.4521654e-18
2470.1505427226507527863808137.14748607818-43.26137732619 828 3.2073967e-16 1.4744089e-18
2480.1505427226507527863808137.14748607818-43.26137732619 830 3.1953114e-16 1.4437474e-18
2490.1505427226507527863808137.14748607818-43.26137732619 832 3.1919584e-16 1.4030369e-18
2500.1505427226507527863808137.14748607818-43.26137732619 834 3.1845315e-16 1.4040367e-18
2510.1505427226507527863808137.14748607818-43.26137732619 836 3.1779218e-16 1.4476661e-18
2520.1505427226507527863808137.14748607818-43.26137732619 838 3.1753825e-16 1.4828613e-18
2530.1505427226507527863808137.14748607818-43.26137732619 840 3.1533343e-16 1.4665491e-18
2540.1505427226507527863808137.14748607818-43.26137732619 842 3.1288232e-16 1.4316447e-18
2550.1505427226507527863808137.14748607818-43.26137732619 844 3.0841521e-16 1.4219216e-18
2560.1505427226507527863808137.14748607818-43.26137732619 846 3.0626350e-16 1.4687428e-18
2570.1505427226507527863808137.14748607818-43.26137732619 848 3.0437171e-16 1.5161177e-18
2580.1505427226507527863808137.14748607818-43.26137732619 850 3.0333158e-16 1.5197236e-18
2590.1505427226507527863808137.14748607818-43.26137732619 852 3.0206836e-16 1.4785789e-18
2600.1505427226507527863808137.14748607818-43.26137732619 854 3.0222736e-16 1.4529257e-18
2610.1505427226507527863808137.14748607818-43.26137732619 856 3.0283943e-16 1.4806143e-18
2620.1505427226507527863808137.14748607818-43.26137732619 858 3.0413205e-16 1.5437759e-18
2630.1505427226507527863808137.14748607818-43.26137732619 860 3.0453399e-16 1.5791765e-18
2640.1505427226507527863808137.14748607818-43.26137732619 862 3.0425844e-16 1.5594547e-18
2650.1505427226507527863808137.14748607818-43.26137732619 864 3.0420834e-16 1.5161361e-18
2660.1505427226507527863808137.14748607818-43.26137732619 866 3.0391653e-16 1.5045317e-18
2670.1505427226507527863808137.14748607818-43.26137732619 868 3.0545152e-16 1.5606863e-18
2680.1505427226507527863808137.14748607818-43.26137732619 870 3.0372082e-16 1.6186281e-18
2690.1505427226507527863808137.14748607818-43.26137732619 872 3.0511789e-16 1.6514578e-18
2700.1505427226507527863808137.14748607818-43.26137732619 874 3.0559519e-16 1.6176088e-18
2710.1505427226507527863808137.14748607818-43.26137732619 876 3.0715183e-16 1.5653681e-18
2720.1505427226507527863808137.14748607818-43.26137732619 878 3.0898618e-16 1.5546022e-18
2730.1505427226507527863808137.14748607818-43.26137732619 880 3.1240746e-16 1.6175147e-18
2740.1505427226507527863808137.14748607818-43.26137732619 882 3.1347771e-16 1.6919904e-18
2750.1505427226507527863808137.14748607818-43.26137732619 884 3.1370998e-16 1.7243756e-18
2760.1505427226507527863808137.14748607818-43.26137732619 886 3.1267882e-16 1.6899948e-18
2770.1505427226507527863808137.14748607818-43.26137732619 888 3.1140780e-16 1.6284794e-18
2780.1505427226507527863808137.14748607818-43.26137732619 890 3.1021700e-16 1.6062103e-18
2790.1505427226507527863808137.14748607818-43.26137732619 892 3.0823468e-16 1.6522706e-18
2800.1505427226507527863808137.14748607818-43.26137732619 894 3.0619309e-16 1.7332404e-18
2810.1505427226507527863808137.14748607818-43.26137732619 896 3.0601162e-16 1.7920924e-18
2820.1505427226507527863808137.14748607818-43.26137732619 898 3.0506098e-16 1.7760984e-18
2830.1505427226507527863808137.14748607818-43.26137732619 900 3.0544064e-16 1.7166755e-18
2840.1505427226507527863808137.14748607818-43.26137732619 902 3.0620535e-16 1.6722981e-18
2850.1505427226507527863808137.14748607818-43.26137732619 904 3.0597485e-16 1.6931481e-18
2860.1505427226507527863808137.14748607818-43.26137732619 906 3.0525334e-16 1.7750771e-18
2870.1505427226507527863808137.14748607818-43.26137732619 908 3.0572791e-16 1.8664421e-18
2880.1505427226507527863808137.14748607818-43.26137732619 910 3.0345212e-16 1.8874448e-18
2890.1505427226507527863808137.14748607818-43.26137732619 912 3.0093336e-16 1.8439585e-18
2900.1505427226507527863808137.14748607818-43.26137732619 914 2.9857644e-16 1.7816558e-18
2910.1505427226507527863808137.14748607818-43.26137732619 916 2.9625128e-16 1.7664142e-18
2920.1505427226507527863808137.14748607818-43.26137732619 918 2.9190153e-16 1.8166373e-18
2930.1505427226507527863808137.14748607818-43.26137732619 920 2.8960424e-16 1.9175302e-18
2940.1505427226507527863808137.14748607818-43.26137732619 922 2.9013081e-16 2.0055426e-18
2950.1505427226507527863808137.14748607818-43.26137732619 924 2.8869270e-16 2.0042810e-18
2960.1505427226507527863808137.14748607818-43.26137732619 926 2.8831469e-16 1.9452130e-18
2970.1505427226507527863808137.14748607818-43.26137732619 928 2.9078334e-16 1.8998662e-18
2980.1505427226507527863808137.14748607818-43.26137732619 930 2.9159257e-16 1.9071807e-18
2990.1505427226507527863808137.14748607818-43.26137732619 932 2.9197750e-16 1.9923094e-18
3000.1505427226507527863808137.14748607818-43.26137732619 934 2.9291217e-16 2.1112670e-18
3010.1505427226507527863808137.14748607818-43.26137732619 936 2.9283734e-16 2.1849595e-18
3020.1505427226507527863808137.14748607818-43.26137732619 938 2.9216220e-16 2.1810809e-18
3030.1505427226507527863808137.14748607818-43.26137732619 940 2.8896103e-16 2.1049701e-18
3040.1505427226507527863808137.14748607818-43.26137732619 942 2.8500305e-16 2.0382557e-18
3050.1505427226507527863808137.14748607818-43.26137732619 944 2.8392402e-16 2.0805586e-18
3060.1505427226507527863808137.14748607818-43.26137732619 946 2.7847651e-16 2.1901532e-18
3070.1505427226507527863808137.14748607818-43.26137732619 948 2.7445135e-16 2.3411916e-18
3080.1505427226507527863808137.14748607818-43.26137732619 950 2.7403295e-16 2.4670960e-18
3090.1505427226507527863808137.14748607818-43.26137732619 952 2.7050161e-16 2.4572213e-18
3100.1505427226507527863808137.14748607818-43.26137732619 954 2.6948568e-16 2.3730991e-18
3110.1505427226507527863808137.14748607818-43.26137732619 956 2.7133541e-16 2.2904203e-18
3120.1505427226507527863808137.14748607818-43.26137732619 958 2.7173439e-16 2.2739567e-18
3130.1505427226507527863808137.14748607818-43.26137732619 960 2.7318978e-16 2.3966489e-18
3140.1505427226507527863808137.14748607818-43.26137732619 962 2.7466502e-16 2.6001808e-18
3150.1505427226507527863808137.14748607818-43.26137732619 964 2.7654567e-16 2.7871028e-18
3160.1505427226507527863808137.14748607818-43.26137732619 966 2.7490364e-16 2.8379729e-18
3170.1505427226507527863808137.14748607818-43.26137732619 968 2.7459577e-16 2.7830111e-18
3180.1505427226507527863808137.14748607818-43.26137732619 970 2.7440644e-16 2.6624061e-18
3190.1505427226507527863808137.14748607818-43.26137732619 972 2.6958298e-16 2.5461773e-18
3200.1505427226507527863808137.14748607818-43.26137732619 974 2.6877104e-16 2.6306087e-18
3210.1505427226507527863808137.14748607818-43.26137732619 976 2.6598881e-16 2.8645341e-18
3220.1505427226507527863808137.14748607818-43.26137732619 978 2.6093390e-16 3.1251283e-18
3230.1505427226507527863808137.14748607818-43.26137732619 980 2.6191032e-16 3.3753130e-18
3240.1505427226507527863808137.14748607818-43.26137732619 982 2.5789546e-16 3.3943241e-18
3250.1505427226507527863808137.14748607818-43.26137732619 984 2.5824375e-16 3.2990194e-18
3260.1505427226507527863808137.14748607818-43.26137732619 986 2.5846726e-16 3.1208945e-18
3270.1505427226507527863808137.14748607818-43.26137732619 988 2.5663960e-16 3.0093923e-18
3280.1505427226507527863808137.14748607818-43.26137732619 990 2.6039241e-16 3.2118203e-18
3290.1505427226507527863808137.14748607818-43.26137732619 992 2.5858762e-16 3.5909623e-18
3300.1505427226507527863808137.14748607818-43.26137732619 994 2.5997384e-16 4.1081292e-18
3310.1505427226507527863808137.14748607818-43.26137732619 996 2.5979456e-16 4.5301018e-18
3320.1505427226507527863808137.14748607818-43.26137732619 998 2.5562996e-16 4.6957455e-18
3330.1505427226507527863808137.14748607818-43.261377326191000 2.5245354e-16 4.6705273e-18
3340.1505427226507527863808137.14748607818-43.261377326191002 2.4663466e-16 4.4894260e-18
3350.1505427226507527863808137.14748607818-43.261377326191004 2.3830560e-16 4.4082717e-18
3360.1505427226507527863808137.14748607818-43.261377326191006 2.3269377e-16 4.8323354e-18
3370.1505427226507527863808137.14748607818-43.261377326191008 2.2328350e-16 5.6979720e-18
3380.1505427226507527863808137.14748607818-43.261377326191010 2.1781683e-16 6.9237271e-18
3390.1505427226507527863808137.14748607818-43.261377326191012 2.1547764e-16 8.1554260e-18
3400.1505427226507527863808137.14748607818-43.261377326191014 2.1234281e-16 8.9091521e-18
3410.1505427226507527863808137.14748607818-43.261377326191016 2.1888611e-16 9.3973376e-18
3420.1505427226507527863808137.14748607818-43.261377326191018 2.2286043e-16 9.1024741e-18
3430.1505427226507527863808137.14748607818-43.261377326191020 2.3728715e-16 8.9200237e-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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_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

10.1505427226507527863808137.14748607818-43.26137732619454546903015620608019101965 17 1.062422276 2.155896e+0353 1.000000000 2536 2591 25 1.070373297 2.905493e+0316 0.99999952 7970752240552152103104801485 7970752295552152103119651485
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

10.150137.14748607818-43.261377326195427226507527863808plottsv
I/360/goldoba Gaia DR3 Part 6. Performance verification (Gaia Collaboration, 2022)
2022yCat.1360....0G

Gaia DR3 source IDs of O, B, and A-type stars having an effective temperature estimate greater than 7500K (goldsampleoba_stars) (original column names in green) (3023388 rows)
img(gal)
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_r
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Source

vtanFlag

RA_ICRS
deg
DE_ICRS
deg
_RA.icrs
deg
_DE.icrs
deg
10.15054272265075278638080137.14748607818-43.26137732619137.14748607818-43.26137732619
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
10.1505427226507527863808137.14748607818-43.26137732619 0.0027 4.72363e-16
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
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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

10.080137.147502-43.26140209083540-431541010.852 0.02210.775 0.02110.687 0.021AAA22211100000

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)

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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

10.043J090835.40-431541.0137.147525-43.261391 0.082 0.076Im10.621 0.02410.640 0.02210.009 0.048 7.865 0.12010.85210.77510.687hhhH0111n 0.0712M

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

10.083J090835.40-431540.9137.1475104-43.2613854Im10.633 0.02310.649 0.02110.705 0.089 8.531 0.27910.852 0.02210.775 0.02110.687 0.021hhHH000nn 17 37 52 43AAAB 0.0642M

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
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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
10.12242300733137.147496-43.261423 0.253 0.128 20132009 4 16 0.473 0.01811.835 0.01512.307 0.01112.049 0.00011.780 0.00811.922 0.228
II/360/catalog Gaia DR2 x AllWISE catalogue (Marton+, 2019)
Gaia DR2 X AllWise catalog (101838724 rows)
img(gal)
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_r
arcsec
Source

RA_ICRS
deg
DE_ICRS
deg
LE

LEG

LMS

LY

Gmag
mag
tau

AllWISE

W1mag
mag
W2mag
mag
W3mag
mag
W4mag
mag
Jmag
mag
Hmag
mag
Kmag
mag
SE

SEG

SMS

SY

10.1445427226507527863808137.147488-43.261378 0.02280 0.01580 0.89560 0.0658011.768529 0.00007J090835.40-431540.910.63310.64910.705 8.53110.85210.77510.687 0.03320 0.01920 0.83460 0.11300

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
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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

10.1461373m440o0045290137.1474952-43.2613717 5.4333e+04 5.3229e+04 3.8991e+01 8.0679e+01 1.00000 1.00000 0.9781 0.9684
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
arcsec
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

10.162137.1474785 0.0190-43.2613798 0.0222J090835.40-431540.9 12 12 12 12137.1475066 0.0191-43.2613844 0.0223 -0.00655 0.0037 0.00351 0.0043 85.0 126.1 5.4e+04 6e+02 5.4e+04 4e+0210.66210.6681N000 0.039 0.223 0.314 6.49e+00 5.23e+003333 0.01800WISEA

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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_r
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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

10.1505427226507527863808137.14748607818-43.26137732619 12.060 11.890 11.789 0.001 0.001 0.00100

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
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

10.003 74279388137.14753312727-43.261401169007689-00047-1234-03339909083540-43154105427226507527863808STARtmgaia2 -7.711 0.050 5.348 0.048gaia2 8742.0 193.8 3.6533 0.0764     3.653 0.162 2.190 0.323DWARF 1232.3000 45.6500 771 0.3674 0.269 0.378 0.190 0.134 0.0691 0.0838 43.9900 47.3100bj2018 205.6 181.9dered 0.84086853650 0.74760491386137.14748753501-43.26137814346 0.02213904755 0.02443762350Sloan

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)
img(gal)

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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

10.003 74279388137.14753312727-43.261401169007689-00047-1234-03339909083540-43154105427226507527863808STARtmgaia2 -7.711 0.050 5.348 0.048gaia2 8742.0 193.8 3.6533 0.0764     3.653 0.162 2.190 0.323DWARF 1232.3000 45.6500 771 0.3674 0.269 0.378 0.190 0.134 0.0691 0.0838 43.9900 47.3100bj2018 205.6 181.9dered 0.840869 0.747605137.14748753501-43.26137814346 0.022139 0.024438Sloan
V/136/tycall Teff and metallicities for Tycho-2 stars (Ammons+, 2006)
Photometry and derived parameters for all Tycho 2 stars, including giants (2399792 rows)
img(gal)
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_r
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Tycho

d

pmRA
mas/yr
pmDE
mas/yr
Bmag
mag
Vmag
mag
Jmag
mag
Hmag
mag
Ksmag
mag
Teff
K
Dist
pc
K09

RAJ2000
deg
DEJ2000
deg
10.2457689-00047-1   -8.6 3.912.50011.89510.85210.77510.687 6639 68K09137.147476-43.261456
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
arcsec
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
10.15427226507527863808137.1475-43.2614 1.3051 3.3724610.4068 9.5278 1.93941 0.26137 3.99346 3.6154 1.5442 1.3019 0.8733 1.6114 1.3563 0.3468 0.4939 0.2575 0.9661 0.2384 0.2005
VI/42/out Identification of a Constellation From Position (Roman 1987)
Compute constellation name from Position (357 rows)
img(gal)
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_r
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RA1875
deg
DE1875
deg
Cst

10.1135.9932-42.7558Vel
VI/135/table15 All-sky spectrally matched Tycho2 stars (Pickles+, 2010)
[Tycho2Fit.dat] Tycho2 catalog fit (Filter summary) (2429446 rows)
img(gal)
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_r
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RAJ2000
deg
DEJ2000
deg
BTmag
mag
VTmag
mag
J2mag
mag
H2mag
mag
K2mag
mag
Qual

Type

Ufmag
mag
Bfmag
mag
Vfmag
mag
Rfmag
mag
Dist
pc
Tyc2

10.27137.14747-43.2614612.50011.89510.85210.77510.687AAAF6V12.2812.3011.82911.54 403Tyc2

Note:

VI/137/gum_mw GaiaSimu Universe Model Snapshot (Robin+, 2012)
Gaia Universe Model Snapshot (GUMS): Milky Way stars (among 2,143,475,885 stars) (2152286095 rows)
img(gal)

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_r
arcsec
Pop

Gmag
mag
GBmag
mag
GRmag
mag
Gsmag
mag
RAICRS
deg
DEICRS
deg
r
pc
pmRA
mas/yr
pmDE
mas/yr
RV
km/s
Mass
Sun
[Fe/H]
[Sun]
Teff
K
logg
[cm/s2]
fI

Vtype

14.753 119.42320.12518.56818.187137.1462077316-43.2623033030 3896.1 -2.203 1.590 2.0 0.9300-0.09 5346 4.5000  
VI/145/attitude ASC Gaia Attitude Star Catalog (Smart, 2015)

Gaia Attitude Star Catalog (ASC) (8,633,831 sources) (original column names in green) (8633831 rows)
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_r
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RAJ2000
deg
e_
arcsec
DEJ2000
deg
e_
arcsec
magBJ
mag
e_
mag
magRF
mag
e_
mag
magG
mag
e_
mag
magGrvs
mag
e_
mag
EpRA
yr
EpDE
yr
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
10.004137.147534 0.015-43.261402 0.02612.279 0.20611.457 0.17211.646 0.60310.903 0.6031983.89001983.8900 -5.6 1.1 2.8 1.8
J/ApJ/833/119/distall Distances of Gaia DR1 TGAS sources (Astraatmadja+, 2016)
Distances and uncertainties of all TGAS sources, no systematics uncertainties included (tgasdistall_v01) (2057050 rows)
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HIP

Tycho2

Source

GLON
deg
GLAT
deg
varpi
mas
e_
mas
<Gmag>
mag
rMoExp1
pc
sigmaRExp1
pc
rMoExp2
pc
sigmaRExp2
pc
rMoMW
pc
sigmaRMW
pc
_RA.icrs
deg
_DE.icrs
deg
10.131  7689-47-15427226503220881920265.8817389738 3.01643284120.4540240.27193211.701 1009.858488 204.011934 2407.212924 1853.571117 1841.996059 1302.138917137.1474926978-43.2613795870
J/ApJ/833/119/distallw Distances of Gaia DR1 TGAS sources (Astraatmadja+, 2016)
Distances and uncertainties of all TGAS sources, systematics uncertainties of 0.3mas included (tgasdistallwithsysv01.csv) (2057050 rows)
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HIP

Tycho2

Source

GLON
deg
GLAT
deg
varpi
mas
e_
mas
<Gmag>
mag
rMoExp1
pc
sigmaRExp1
pc
rMoExp2
pc
sigmaRExp2
pc
rMoMW
pc
sigmaRMW
pc
_RA.icrs
deg
_DE.icrs
deg
10.131  7689-47-15427226503220881920265.8817389738 3.01643284120.4540240.40490411.701 828.941581 197.959791 2515.213810 2036.284341 1742.488342 1458.194982137.1474926978-43.2613795870
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
10.145GaiaDR2137.14748753-43.26137814 0.78 -7.71 5.3411.76912.01611.3656509  2 3.57417.699.999.912.02311.79311.73511.71810.85210.77510.687
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
10.1455427226507527863808137.14748753501-43.261378143466668 299
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
10.1455427226507527863808137.14748753501-43.26137814346 8.30e-02 0.030180
J/AJ/160/279/table1 Untangling the Galaxy. II. Structure within 3kpc (Kounkel+, 2020)
Clustered sources (987376 rows)
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Gaia

RAICRS
deg
DEICRS
deg
Group

10.1665427226507527863808137.1474826698869833308-43.26137319074808829104456
J/PASP/120/1128/catalog Calibrated griz magnitudes of Tycho stars (Ofek, 2008)
Catalog of griz magnitudes for Tycho-2 stars with BT<13mag and VT<12mag (1560980 rows)
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_r
arcsec
ok

BTmag
mag
VTmag
mag
Jmag
mag
Hmag
mag
Kmag
mag
T2M

rmsTem

minRMS
mag
gmag
mag
rmag
mag
imag
mag
zmag
mag
RAJ2000
deg
DEJ2000
deg
10.25012.5011.8910.8510.7810.69T2Mukf6v 0.0612.0911.8511.8311.86137.14747-43.26146
J/MNRAS/463/4210/ucac4rpm All-sky catalog of solar-type dwarfs (Nascimbeni+, 2016)
UCAC4-RPM catalog v1.0 (9928389 rows)
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_r
arcsec
RAJ2000
deg
DEJ2000
deg
pmRA
mas/yr
pmDE
mas/yr
Bmag
mag
Vmag
mag
origin

rpmv
mag
dlf5

dslf5

UCAC4

TYC2

10.005137.1475342-43.2614025 -5.6 2.812.30711.835215.8182211UCAC4TYC2
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

10.003 74279388137.14753313-43.26140117 0.000000-1.05714e-04 2.77288e-05-2.29019e-05 2.96487e-05 1.02921e-05 2.76542e-05-3.96649e-06 1.26907e-04-2.64606e-05 2.75887e-05 1.048709 9.13886e-02
J/AN/325/740/csoca Astrophysical supplements to ASCC-2.5 (Kharchenko+, 2004)
The Catalog of Stars in the Open Cluster Areas (171319 rows)
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RAJ2000
deg
DEJ2000
deg
Bmag
mag
Vmag
mag
SpType

ASCC

Seq

Pkin

Pph

Psp

10.246 137.14750110-043.26146611 12.398 11.830   1936090 218 0.0000 0.85001
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