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: 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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GSC2.2

RA(ICRS)
deg
DE(ICRS)
deg
Epoch
yr
Rmag
mag
e_
mag
Bjmag
mag
e_
mag
Class

a
pix
e

10.110S212221345841212.996516-59.3458111999.12614.50 0.4314.96 0.443 3.31 0.04

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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USNO-B1.0

RAJ2000
deg
DEJ2000
deg
e_RAJ2000
mas
e_DEJ2000
mas
Epoch
yr
pmRA
mas/yr
pmDE
mas/yr
Ndet

B1mag
mag
R1mag
mag
B2mag
mag
R2mag
mag
Imag
mag
10.6190306-0469363212.996603-59.3456623544191989.6 0 02  14.42  14.41  
22.0810306-0469361212.995675-59.345470377 101976.8 0 02    15.44  14.69

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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NOMAD1

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

10.6220306-0526741.M212.9966028-59.3456611B 0.0 0.0 0.0 0.0        14.410B13.80413.61113.487  
22.0830306-0526731..212.9956750-59.3454694B 0.0 0.0 0.0 0.015.440B                

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

RAJ2000
deg
DEJ2000
deg
Epoch
yr
Fmag
mag
jmag
mag
Vmag
mag
Nmag
mag
Class

a
pix
e

11.634S7MV082435212.997446-59.3458681994.18613.4315.12    3 8.27 0.53
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
DEJ2000
deg
pmRA
mas/yr
pmDE
mas/yr
Jmag
mag
Kmag
mag
b1mag
mag
b2mag
mag
r1mag
mag
r2mag
mag
imag
mag
No

fl

10.025212.996572-59.345831 15.9 -60.013.80513.487    14.4214.41   3 0

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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SPMID

RAJ2000
deg
e_
mas
DEJ2000
deg
e_
mas
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
Epoch
yr
N1

N2

Nc

Bmag
mag
Vmag
mag
Jmag
mag
Hmag
mag
Kmag
mag
2M

igal

A

10.0641412755982212.9965441 13.2-59.3458485 13.3 82.24 2.25 -58.41 2.482006.13 4 0 214.9714.6613.80513.61113.4872M0A

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

10.061154-133995212.9965706-59.3458481 3014.5710 0 81.9 -60.713.80513.48715.08714.54914.37213.899000000001

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
deg
DEJ2000
deg
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_
(...)
10.061212.996571-59.345848 0.018 0.02115.124 0.30013.434 0.30013.666 0.40012.382 0.5001983.89001983.8900 81.9 3.1 -60.7 3.1
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
deg
e_
mas
DE_ICRS
deg
e_
mas
Source

Plx
mas
pmRA
mas/yr
pmDE
mas/yr
RADEcor

Dup

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

11.488212.9972065572 0.483-59.3460807878 0.3245867776691935588224      -0.8390 2.5543e+04 1.4193e+0114.507NOT_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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RAJ2000
deg
DEJ2000
deg
ipix

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

10.201212.9966683016-59.34583125875985642826544776128   65.863 -59.88713.80513.61113.487    14.4214.41  586777669193558822414.507    
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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RA_ICRS
deg
e_
mas
DE_ICRS
deg
e_
mas
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
11.537212.99722816423 0.0199-59.34608894216 0.02725867776696271127424 69.4769 0.0368 79.271 0.060 -59.722 0.0830 2.8179e+04 8.7561e+0014.56350.0003 1.7152e+04 4.3880e+0114.76560.0028 1.7003e+04 1.6805e+0114.18560.0011 0.5800    6869.00 0.2770 0.1370    
24.140212.99629714434 0.7423-59.34469010670 0.81715867776696234158336 0.7568 1.3006 -14.814 2.767 2.020 2.6830 1.0099e+02 8.7500e-0120.67770.0094 4.9090e+01 5.3825e+0021.12390.1190 1.7713e+02 7.3945e+0019.14120.0453 1.9827              
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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Source

RA_ICRS
deg
DE_ICRS
deg
rest
pc
b_
pc
B_
pc
rlen
pc
ResFlag

ModFlag

11.5375867776696271127424212.99722816423-59.34608894216 14.387268347405501 14.379589608437501 14.3949551461334001253.8641322032311
24.1405867776696234158336212.99629714434-59.34469010670 2393.789615349439828 1047.535320111449892 4674.7381177034903891253.8800019773711
I/350/gaiaedr3 Gaia EDR3 (Gaia Collaboration, 2020)
2020yCat.1350....0G

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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_r
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RA_ICRS
deg
e_
mas
DE_ICRS
deg
e_
mas
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
11.587212.99724974844 0.0138-59.34609724599 0.01985867776696271127424 69.4414 0.0271 99.186 79.284 0.020 -59.598 0.034 0.965 2.8460e+04 9.8192e+0014.551776 0.002781 1.6980e+04 1.8557e+0114.763685 0.003032 1.6904e+04 1.2850e+0114.177938 0.003868 0.585747            376028333  14.551776 0.002781 2.8460e+04212.99655862603-59.34583236572
24.141212.99629395712 0.6424-59.34469004212 0.84035867776696234158336 0.4628 1.1280 11.246 -11.230 1.073 -0.594 1.478 1.003 1.0638e+02 8.8975e-0120.620218 0.009490 4.3884e+01 6.2246e+0021.232769 0.154028 1.4663e+02 7.2436e+0019.332365 0.053771 1.900404                20.613097 0.009433 1.0708e+02212.99639184917-59.34468740232
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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Source

RA_ICRS
deg
DE_ICRS
deg
rgeo
pc
b_
pc
B_
pc
rpgeo
pc
b_
pc
B_
pc
Flag

11.5875867776696271127424212.99724974844-59.34609724599 14.39415260 14.38790420 14.39929010 14.39303020 14.38779160 14.3984013010033
24.1415867776696234158336212.99629395712-59.34469004212 3854.49463000 2259.59863000 5911.73291000 5814.00977000 4062.83618000 8101.1962900020033
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
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
11.537S7MV082435212.99722816423-59.34608894216 22122213824352015.500014.563544  15.12460013.434800      15.03400014.56200014.97714.81114.37513.967     13.805 13.611 13.487                 8.270 0.527 22.8
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
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
11.587212.99724974844-59.346097245995867776696271127424 0.0138 0.0198 69.4414 0.0271 99.186 79.284 0.020 -59.598 0.034 0.965 28460.09015 9.8192e+0014.551776 1.6980e+04 1.8557e+0114.763685 1.6904e+04 1.2850e+0114.177938 0.585747        00011000000                376028333      49432424    14115917-5920449  212.99655862603-59.34583236572
24.141212.99629395712-59.344690042125867776696234158336 0.6424 0.8403 0.4628 1.1280 11.246 -11.230 1.073 -0.594 1.478 1.003 107.07729 8.9559e-0120.613123 4.3884e+01 6.2246e+0021.232769 1.4663e+02 7.2436e+0019.332365 1.900404        00000000000                                  212.99639184917-59.34468740232
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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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
11.5875867776696271127424212.99724974844-59.34609724599 0.00000000 0.00000000 0.00004993 0.99994960 0.00000050                                
24.1415867776696234158336212.99629395712-59.34469004212 0.00000000 0.00000000 0.99998796 0.00000000 0.00001204                                
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

11.5875867776696271127424212.99724974844-59.34609724599454546903015620608141 0.9999991633 1 1.042215 1.71404e+03 28 0 114 0.999996 2254 7 1.013655 2.25947e+03 39 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)
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Source

RA_ICRS
deg
DE_ICRS
deg
lambda

Flux
W/m2/nm
e_
(...)
11.5875867776696271127424212.99724974844-59.34609724599 336 5.7522870e-17 5.1268903e-18
21.5875867776696271127424212.99724974844-59.34609724599 338 6.3174090e-17 3.9605240e-18
31.5875867776696271127424212.99724974844-59.34609724599 340 6.2020235e-17 3.3711628e-18
41.5875867776696271127424212.99724974844-59.34609724599 342 5.8287220e-17 3.0430182e-18
51.5875867776696271127424212.99724974844-59.34609724599 344 5.8211770e-17 2.9830379e-18
61.5875867776696271127424212.99724974844-59.34609724599 346 6.1189650e-17 3.0191130e-18
71.5875867776696271127424212.99724974844-59.34609724599 348 6.3250696e-17 3.2544625e-18
81.5875867776696271127424212.99724974844-59.34609724599 350 6.1199060e-17 3.5009530e-18
91.5875867776696271127424212.99724974844-59.34609724599 352 5.8747250e-17 3.9064820e-18
101.5875867776696271127424212.99724974844-59.34609724599 354 5.9715743e-17 4.1971326e-18
111.5875867776696271127424212.99724974844-59.34609724599 356 6.1709010e-17 4.0596840e-18
121.5875867776696271127424212.99724974844-59.34609724599 358 6.2515450e-17 3.6775213e-18
131.5875867776696271127424212.99724974844-59.34609724599 360 6.4291930e-17 3.4242936e-18
141.5875867776696271127424212.99724974844-59.34609724599 362 6.5354280e-17 3.3940629e-18
151.5875867776696271127424212.99724974844-59.34609724599 364 6.5132910e-17 3.3421255e-18
161.5875867776696271127424212.99724974844-59.34609724599 366 6.3989610e-17 3.5379700e-18
171.5875867776696271127424212.99724974844-59.34609724599 368 6.1998815e-17 3.5904830e-18
181.5875867776696271127424212.99724974844-59.34609724599 370 5.9665914e-17 3.8768247e-18
191.5875867776696271127424212.99724974844-59.34609724599 372 5.9085200e-17 3.9188943e-18
201.5875867776696271127424212.99724974844-59.34609724599 374 6.1230670e-17 4.0812900e-18
211.5875867776696271127424212.99724974844-59.34609724599 376 6.4246770e-17 4.3777727e-18
221.5875867776696271127424212.99724974844-59.34609724599 378 6.6657440e-17 4.3034290e-18
231.5875867776696271127424212.99724974844-59.34609724599 380 6.7570550e-17 4.7276346e-18
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1501.5875867776696271127424212.99724974844-59.34609724599 634 4.1763532e-17 3.0917755e-19
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1581.5875867776696271127424212.99724974844-59.34609724599 650 3.7978383e-17 6.8750786e-19
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1601.5875867776696271127424212.99724974844-59.34609724599 654 3.5689217e-17 6.6413923e-19
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1631.5875867776696271127424212.99724974844-59.34609724599 660 3.3932467e-17 6.6115250e-19
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1701.5875867776696271127424212.99724974844-59.34609724599 674 3.6494828e-17 6.1222936e-19
1711.5875867776696271127424212.99724974844-59.34609724599 676 3.6580967e-17 5.8281800e-19
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1731.5875867776696271127424212.99724974844-59.34609724599 680 3.7163960e-17 5.8033663e-19
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1761.5875867776696271127424212.99724974844-59.34609724599 686 3.5107994e-17 5.4448244e-19
1771.5875867776696271127424212.99724974844-59.34609724599 688 3.4338848e-17 5.5179306e-19
1781.5875867776696271127424212.99724974844-59.34609724599 690 3.4092517e-17 5.3652413e-19
1791.5875867776696271127424212.99724974844-59.34609724599 692 3.4298220e-17 5.1468850e-19
1801.5875867776696271127424212.99724974844-59.34609724599 694 3.4803138e-17 5.1760950e-19
1811.5875867776696271127424212.99724974844-59.34609724599 696 3.5092115e-17 5.2266400e-19
1821.5875867776696271127424212.99724974844-59.34609724599 698 3.4961146e-17 5.0557080e-19
1831.5875867776696271127424212.99724974844-59.34609724599 700 3.4417642e-17 4.8732824e-19
1841.5875867776696271127424212.99724974844-59.34609724599 702 3.3845355e-17 4.9344270e-19
1851.5875867776696271127424212.99724974844-59.34609724599 704 3.3373340e-17 4.9861713e-19
1861.5875867776696271127424212.99724974844-59.34609724599 706 3.3278138e-17 4.8200347e-19
1871.5875867776696271127424212.99724974844-59.34609724599 708 3.3556855e-17 4.6516404e-19
1881.5875867776696271127424212.99724974844-59.34609724599 710 3.3858480e-17 4.7159750e-19
1891.5875867776696271127424212.99724974844-59.34609724599 712 3.3985450e-17 4.8259066e-19
1901.5875867776696271127424212.99724974844-59.34609724599 714 3.3813436e-17 4.7110320e-19
1911.5875867776696271127424212.99724974844-59.34609724599 716 3.3411043e-17 4.5047987e-19
1921.5875867776696271127424212.99724974844-59.34609724599 718 3.2911475e-17 4.5162733e-19
1931.5875867776696271127424212.99724974844-59.34609724599 720 3.2438970e-17 4.6667880e-19
1941.5875867776696271127424212.99724974844-59.34609724599 722 3.2272994e-17 4.6485310e-19
1951.5875867776696271127424212.99724974844-59.34609724599 724 3.2197650e-17 4.4103016e-19
1961.5875867776696271127424212.99724974844-59.34609724599 726 3.2183116e-17 4.3028537e-19
1971.5875867776696271127424212.99724974844-59.34609724599 728 3.2171244e-17 4.4712830e-19
1981.5875867776696271127424212.99724974844-59.34609724599 730 3.1945722e-17 4.5668980e-19
1991.5875867776696271127424212.99724974844-59.34609724599 732 3.1523165e-17 4.3627573e-19
2001.5875867776696271127424212.99724974844-59.34609724599 734 3.1075968e-17 4.1214202e-19
2011.5875867776696271127424212.99724974844-59.34609724599 736 3.0779690e-17 4.2128415e-19
2021.5875867776696271127424212.99724974844-59.34609724599 738 3.0596895e-17 4.4416833e-19
2031.5875867776696271127424212.99724974844-59.34609724599 740 3.0560284e-17 4.3892620e-19
2041.5875867776696271127424212.99724974844-59.34609724599 742 3.0638510e-17 4.0762256e-19
2051.5875867776696271127424212.99724974844-59.34609724599 744 3.0669994e-17 3.9689703e-19
2061.5875867776696271127424212.99724974844-59.34609724599 746 3.0628807e-17 4.2503192e-19
2071.5875867776696271127424212.99724974844-59.34609724599 748 3.0476236e-17 4.4360693e-19
2081.5875867776696271127424212.99724974844-59.34609724599 750 3.0353704e-17 4.2116831e-19
2091.5875867776696271127424212.99724974844-59.34609724599 752 3.0190250e-17 3.8640571e-19
2101.5875867776696271127424212.99724974844-59.34609724599 754 3.0143127e-17 3.9615580e-19
2111.5875867776696271127424212.99724974844-59.34609724599 756 3.0063535e-17 4.3225650e-19
2121.5875867776696271127424212.99724974844-59.34609724599 758 3.0017173e-17 4.3603647e-19
2131.5875867776696271127424212.99724974844-59.34609724599 760 2.9923720e-17 3.9611118e-19
2141.5875867776696271127424212.99724974844-59.34609724599 762 2.9652744e-17 3.6620312e-19
2151.5875867776696271127424212.99724974844-59.34609724599 764 2.9289106e-17 3.9414127e-19
2161.5875867776696271127424212.99724974844-59.34609724599 766 2.8906306e-17 4.3297230e-19
2171.5875867776696271127424212.99724974844-59.34609724599 768 2.8557428e-17 4.2424685e-19
2181.5875867776696271127424212.99724974844-59.34609724599 770 2.8382572e-17 3.7677552e-19
2191.5875867776696271127424212.99724974844-59.34609724599 772 2.8280865e-17 3.5673167e-19
2201.5875867776696271127424212.99724974844-59.34609724599 774 2.8277110e-17 3.9659405e-19
2211.5875867776696271127424212.99724974844-59.34609724599 776 2.8358203e-17 4.3361214e-19
2221.5875867776696271127424212.99724974844-59.34609724599 778 2.8409806e-17 4.1694672e-19
2231.5875867776696271127424212.99724974844-59.34609724599 780 2.8358157e-17 3.6558017e-19
2241.5875867776696271127424212.99724974844-59.34609724599 782 2.8119530e-17 3.5054010e-19
2251.5875867776696271127424212.99724974844-59.34609724599 784 2.7873260e-17 3.9547645e-19
2261.5875867776696271127424212.99724974844-59.34609724599 786 2.7550618e-17 4.3116867e-19
2271.5875867776696271127424212.99724974844-59.34609724599 788 2.7229430e-17 4.1214500e-19
2281.5875867776696271127424212.99724974844-59.34609724599 790 2.6984087e-17 3.5993138e-19
2291.5875867776696271127424212.99724974844-59.34609724599 792 2.6802394e-17 3.4298755e-19
2301.5875867776696271127424212.99724974844-59.34609724599 794 2.6712610e-17 3.8373392e-19
2311.5875867776696271127424212.99724974844-59.34609724599 796 2.6655286e-17 4.1944840e-19
2321.5875867776696271127424212.99724974844-59.34609724599 798 2.6535248e-17 4.0495568e-19
2331.5875867776696271127424212.99724974844-59.34609724599 800 2.6410699e-17 3.5637813e-19
2341.5875867776696271127424212.99724974844-59.34609724599 802 2.6212257e-17 3.3185538e-19
2351.5875867776696271127424212.99724974844-59.34609724599 804 2.5982138e-17 3.6151577e-19
2361.5875867776696271127424212.99724974844-59.34609724599 806 2.5831709e-17 3.9847787e-19
2371.5875867776696271127424212.99724974844-59.34609724599 808 2.5697995e-17 3.9579277e-19
2381.5875867776696271127424212.99724974844-59.34609724599 810 2.5616574e-17 3.5653710e-19
2391.5875867776696271127424212.99724974844-59.34609724599 812 2.5603993e-17 3.2545072e-19
2401.5875867776696271127424212.99724974844-59.34609724599 814 2.5534525e-17 3.3924727e-19
2411.5875867776696271127424212.99724974844-59.34609724599 816 2.5586273e-17 3.7537694e-19
2421.5875867776696271127424212.99724974844-59.34609724599 818 2.5525426e-17 3.8640998e-19
2431.5875867776696271127424212.99724974844-59.34609724599 820 2.5449952e-17 3.6288793e-19
2441.5875867776696271127424212.99724974844-59.34609724599 822 2.5251687e-17 3.2960850e-19
2451.5875867776696271127424212.99724974844-59.34609724599 824 2.5017906e-17 3.2592570e-19
2461.5875867776696271127424212.99724974844-59.34609724599 826 2.4824107e-17 3.5289342e-19
2471.5875867776696271127424212.99724974844-59.34609724599 828 2.4620278e-17 3.7426402e-19
2481.5875867776696271127424212.99724974844-59.34609724599 830 2.4415885e-17 3.6771608e-19
2491.5875867776696271127424212.99724974844-59.34609724599 832 2.4245913e-17 3.4201905e-19
2501.5875867776696271127424212.99724974844-59.34609724599 834 2.4035560e-17 3.2467050e-19
2511.5875867776696271127424212.99724974844-59.34609724599 836 2.3843521e-17 3.3427260e-19
2521.5875867776696271127424212.99724974844-59.34609724599 838 2.3710684e-17 3.5642215e-19
2531.5875867776696271127424212.99724974844-59.34609724599 840 2.3472233e-17 3.6455724e-19
2541.5875867776696271127424212.99724974844-59.34609724599 842 2.3260992e-17 3.5385143e-19
2551.5875867776696271127424212.99724974844-59.34609724599 844 2.2944458e-17 3.3526165e-19
2561.5875867776696271127424212.99724974844-59.34609724599 846 2.2837927e-17 3.3165895e-19
2571.5875867776696271127424212.99724974844-59.34609724599 848 2.2776310e-17 3.4331733e-19
2581.5875867776696271127424212.99724974844-59.34609724599 850 2.2786637e-17 3.5644024e-19
2591.5875867776696271127424212.99724974844-59.34609724599 852 2.2767726e-17 3.5731798e-19
2601.5875867776696271127424212.99724974844-59.34609724599 854 2.2822922e-17 3.4904938e-19
2611.5875867776696271127424212.99724974844-59.34609724599 856 2.2862288e-17 3.4160052e-19
2621.5875867776696271127424212.99724974844-59.34609724599 858 2.2892582e-17 3.4395548e-19
2631.5875867776696271127424212.99724974844-59.34609724599 860 2.2794596e-17 3.5188126e-19
2641.5875867776696271127424212.99724974844-59.34609724599 862 2.2595254e-17 3.5705404e-19
2651.5875867776696271127424212.99724974844-59.34609724599 864 2.2382477e-17 3.5639276e-19
2661.5875867776696271127424212.99724974844-59.34609724599 866 2.2149577e-17 3.5279106e-19
2671.5875867776696271127424212.99724974844-59.34609724599 868 2.2077287e-17 3.5450154e-19
2681.5875867776696271127424212.99724974844-59.34609724599 870 2.1824460e-17 3.5667687e-19
2691.5875867776696271127424212.99724974844-59.34609724599 872 2.1868713e-17 3.6221634e-19
2701.5875867776696271127424212.99724974844-59.34609724599 874 2.1919224e-17 3.6227850e-19
2711.5875867776696271127424212.99724974844-59.34609724599 876 2.2102235e-17 3.6048885e-19
2721.5875867776696271127424212.99724974844-59.34609724599 878 2.2328114e-17 3.6093687e-19
2731.5875867776696271127424212.99724974844-59.34609724599 880 2.2650538e-17 3.6795392e-19
2741.5875867776696271127424212.99724974844-59.34609724599 882 2.2741503e-17 3.7397580e-19
2751.5875867776696271127424212.99724974844-59.34609724599 884 2.2675280e-17 3.7550678e-19
2761.5875867776696271127424212.99724974844-59.34609724599 886 2.2402094e-17 3.7066646e-19
2771.5875867776696271127424212.99724974844-59.34609724599 888 2.1997160e-17 3.6550020e-19
2781.5875867776696271127424212.99724974844-59.34609724599 890 2.1505154e-17 3.6728660e-19
2791.5875867776696271127424212.99724974844-59.34609724599 892 2.0907777e-17 3.7638760e-19
2801.5875867776696271127424212.99724974844-59.34609724599 894 2.0312073e-17 3.8692428e-19
2811.5875867776696271127424212.99724974844-59.34609724599 896 1.9901749e-17 3.9261725e-19
2821.5875867776696271127424212.99724974844-59.34609724599 898 1.9553481e-17 3.8715646e-19
2831.5875867776696271127424212.99724974844-59.34609724599 900 1.9436417e-17 3.7900387e-19
2841.5875867776696271127424212.99724974844-59.34609724599 902 1.9499476e-17 3.7763501e-19
2851.5875867776696271127424212.99724974844-59.34609724599 904 1.9640307e-17 3.8737545e-19
2861.5875867776696271127424212.99724974844-59.34609724599 906 1.9854067e-17 4.0376740e-19
2871.5875867776696271127424212.99724974844-59.34609724599 908 2.0200937e-17 4.1804970e-19
2881.5875867776696271127424212.99724974844-59.34609724599 910 2.0364775e-17 4.1755814e-19
2891.5875867776696271127424212.99724974844-59.34609724599 912 2.0456134e-17 4.0768943e-19
2901.5875867776696271127424212.99724974844-59.34609724599 914 2.0461161e-17 3.9956052e-19
2911.5875867776696271127424212.99724974844-59.34609724599 916 2.0346130e-17 4.0435040e-19
2921.5875867776696271127424212.99724974844-59.34609724599 918 1.9965124e-17 4.2022468e-19
2931.5875867776696271127424212.99724974844-59.34609724599 920 1.9614039e-17 4.4171150e-19
2941.5875867776696271127424212.99724974844-59.34609724599 922 1.9374357e-17 4.5699200e-19
2951.5875867776696271127424212.99724974844-59.34609724599 924 1.8967961e-17 4.5274123e-19
2961.5875867776696271127424212.99724974844-59.34609724599 926 1.8644863e-17 4.3920276e-19
2971.5875867776696271127424212.99724974844-59.34609724599 928 1.8558095e-17 4.3306610e-19
2981.5875867776696271127424212.99724974844-59.34609724599 930 1.8446687e-17 4.4017760e-19
2991.5875867776696271127424212.99724974844-59.34609724599 932 1.8404860e-17 4.6213914e-19
3001.5875867776696271127424212.99724974844-59.34609724599 934 1.8491818e-17 4.8805166e-19
3011.5875867776696271127424212.99724974844-59.34609724599 936 1.8593994e-17 5.0217323e-19
3021.5875867776696271127424212.99724974844-59.34609724599 938 1.8712864e-17 5.0029160e-19
3031.5875867776696271127424212.99724974844-59.34609724599 940 1.8695236e-17 4.8573746e-19
3041.5875867776696271127424212.99724974844-59.34609724599 942 1.8624512e-17 4.7662980e-19
3051.5875867776696271127424212.99724974844-59.34609724599 944 1.8716023e-17 4.9206803e-19
3061.5875867776696271127424212.99724974844-59.34609724599 946 1.8476895e-17 5.1815550e-19
3071.5875867776696271127424212.99724974844-59.34609724599 948 1.8280965e-17 5.4937520e-19
3081.5875867776696271127424212.99724974844-59.34609724599 950 1.8277060e-17 5.7389755e-19
3091.5875867776696271127424212.99724974844-59.34609724599 952 1.8026458e-17 5.7011325e-19
3101.5875867776696271127424212.99724974844-59.34609724599 954 1.7918042e-17 5.5532010e-19
3111.5875867776696271127424212.99724974844-59.34609724599 956 1.7988580e-17 5.4715870e-19
3121.5875867776696271127424212.99724974844-59.34609724599 958 1.7962938e-17 5.5547470e-19
3131.5875867776696271127424212.99724974844-59.34609724599 960 1.8013719e-17 5.9011153e-19
3141.5875867776696271127424212.99724974844-59.34609724599 962 1.8072115e-17 6.3543875e-19
3151.5875867776696271127424212.99724974844-59.34609724599 964 1.8157109e-17 6.7275054e-19
3161.5875867776696271127424212.99724974844-59.34609724599 966 1.8000343e-17 6.7966717e-19
3171.5875867776696271127424212.99724974844-59.34609724599 968 1.7908143e-17 6.6884816e-19
3181.5875867776696271127424212.99724974844-59.34609724599 970 1.7788957e-17 6.5273386e-19
3191.5875867776696271127424212.99724974844-59.34609724599 972 1.7329493e-17 6.4448697e-19
3201.5875867776696271127424212.99724974844-59.34609724599 974 1.7088402e-17 6.8129190e-19
3211.5875867776696271127424212.99724974844-59.34609724599 976 1.6690346e-17 7.4131694e-19
3221.5875867776696271127424212.99724974844-59.34609724599 978 1.6139822e-17 7.9642443e-19
3231.5875867776696271127424212.99724974844-59.34609724599 980 1.5975169e-17 8.4640517e-19
3241.5875867776696271127424212.99724974844-59.34609724599 982 1.5547817e-17 8.4415110e-19
3251.5875867776696271127424212.99724974844-59.34609724599 984 1.5455382e-17 8.2554790e-19
3261.5875867776696271127424212.99724974844-59.34609724599 986 1.5449370e-17 8.0122513e-19
3271.5875867776696271127424212.99724974844-59.34609724599 988 1.5429750e-17 8.0158795e-19
3281.5875867776696271127424212.99724974844-59.34609724599 990 1.5861320e-17 8.7350160e-19
3291.5875867776696271127424212.99724974844-59.34609724599 992 1.6064144e-17 9.6981040e-19
3301.5875867776696271127424212.99724974844-59.34609724599 994 1.6558849e-17 1.0878092e-18
3311.5875867776696271127424212.99724974844-59.34609724599 996 1.7028560e-17 1.1781892e-18
3321.5875867776696271127424212.99724974844-59.34609724599 998 1.7274491e-17 1.2103673e-18
3331.5875867776696271127424212.99724974844-59.346097245991000 1.7586325e-17 1.2104563e-18
3341.5875867776696271127424212.99724974844-59.346097245991002 1.7672935e-17 1.1926527e-18
3351.5875867776696271127424212.99724974844-59.346097245991004 1.7487860e-17 1.2148521e-18
3361.5875867776696271127424212.99724974844-59.346097245991006 1.7367512e-17 1.3562969e-18
3371.5875867776696271127424212.99724974844-59.346097245991008 1.6787182e-17 1.5771875e-18
3381.5875867776696271127424212.99724974844-59.346097245991010 1.6293721e-17 1.8669181e-18
3391.5875867776696271127424212.99724974844-59.346097245991012 1.5807675e-17 2.1508760e-18
3401.5875867776696271127424212.99724974844-59.346097245991014 1.5050897e-17 2.3209677e-18
3411.5875867776696271127424212.99724974844-59.346097245991016 1.4801735e-17 2.4510098e-18
3421.5875867776696271127424212.99724974844-59.346097245991018 1.4277592e-17 2.4223593e-18
3431.5875867776696271127424212.99724974844-59.346097245991020 1.4420794e-17 2.4730535e-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)
start AladinLite
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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

11.5875867776696271127424212.99724974844-59.34609724599454546903015620608115781633 1 1.042214600 1.714042e+0341 0.999999170 2199 2254 7 1.013655400 2.259467e+0314 0.99999607 9404710535552539271844451485 9404710590552539271859301485
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)
start AladinLite
Full

_r
arcsec
RA_ICRS
deg
DE_ICRS
deg
Source

plotXPsamp

dataXPSamp

11.587212.99724974844-59.346097245995867776696271127424plottsv
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)
start AladinLite
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_r
arcsec
Source

RA_ICRS
deg
DE_ICRS
deg
E(BP/RP)corr

FU
W/m2/nm
11.5875867776696271127424212.99724974844-59.34609724599 0.0061 6.45099e-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

10.035212.996571-59.34582514115917-592044913.805 0.03713.611 0.04613.487 0.062AAA222111ccc00

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
11.64049432424212.997337-59.346056 0.790 0.519 20162525 5 24 0.472 0.07214.562 0.02215.034 0.06814.811 0.04714.375 0.02613.967 0.049

Note:

II/337/vvv1 VISTA Variables in the Via Lactea Survey DR1 (Saito+, 2012)
VVV catalog DR1 (2014-07-15) Red values correspond to not reliable values (see the corresponding *perrbits columns). (206911150 rows)
img(gal)

start AladinLite
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_r
arcsec
RAJ2000
deg
DEJ2000
deg
iauname

mClass

Zmag3
mag
e_
mag
Zperrbits

Ymag3
mag
e_
mag
Yperrbits

Jmag3
mag
e_
mag
Jperrbits

Hmag3
mag
e_
mag
Hperrbits

Ksmag3
mag
e_
mag
Ksperrbits

11.066212.997050-59.345990VVV J141159.29-592045.56-113.933 0.002 16 13.948 0.002 1613.784 0.002 1613.617 0.003 16 13.522 0.004 16
22.476212.995399-59.346184VVV J141158.89-592046.26-1     0     0     017.367 0.075 16 17.247 0.121 0
34.206212.996368-59.344668VVV J141159.12-592040.80-118.405 0.030 16 17.692 0.027 1616.940 0.024 1616.223 0.027 16 15.878 0.035 16

Note: VVV DR2 document

II/348/vvv2 VISTA Variable in the Via Lactea Survey DR2 (Minniti+, 2017)
2017yCat.2348....0M

VVV catalog DR2 (2015-08-19) Red values correspond to not reliable values (see the corresponding *perrbits columns). (418944314 rows)
img(gal)

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_r
arcsec
RAJ2000
deg
DEJ2000
deg
iauname

mClass

Zmag3
mag
e_
mag
Zperrbits

Ymag3
mag
e_
mag
Yperrbits

Jmag3
mag
e_
mag
Jperrbits

Hmag3
mag
e_
mag
Hperrbits

Ksmag3
mag
e_
mag
Ksperrbits

11.076212.997053-59.345993VVV J141159.29-592045.57-113.933 0.002 16 13.948 0.002 16 13.784 0.002 16 13.617 0.003 16 13.522 0.004 16
22.541212.995372-59.346196VVV J141158.88-592046.30-1     0     0     0 17.367 0.075 16 17.247 0.121 0
34.189212.996366-59.344673VVV J141159.12-592040.82-118.405 0.030 16 17.692 0.027 16 16.940 0.024 16 16.223 0.027 16 15.878 0.035 16
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
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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
11.652224811913212.997318983-59.346078038 39 36141159.34-592045.857091.3512 3 0.983 4.62 2.37 2.02 47.3214.97714.911    14.72414.67514.53814.575           0.253 0.186    

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

12.0762131m591o0166807212.9972169-59.3463012 5.6110e+03 0.0000e+00 2.3537e+01 0.0000e+00 1.00000 0.00000 0.2033 0.0000
II/364/virac VIRAC. The VVV Infrared Astrometric Catalogue (Smith+, 2019)
VIRAC catalog (312587642 rows)
img(gal)
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Full

_r
arcsec
srcid

RA_ICRS
deg
DE_ICRS
deg
Ksmag
mag
KsEll

pm
mas/yr
e_
(...)
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
Nep

flgrel

Zmag
mag
Zell

Ymag
mag
Yell

Jmag
mag
Jell

Hmag
mag
Hell

Zdetflg

Ydetflg

Jdetflg

Hdetflg

11.264392515914212.997126-59.34603213.555 0.1 109.22 2.36 86.71 2.35 -66.406 2.369 1020 13.913 0.1165 13.964 0.089013.794 0.0745 13.636 0.03870000
24.128392515902212.996370-59.34469015.993 0.1 5.35 2.78 -2.45 2.50 4.757 2.853 1021 18.428 0.2662 17.728 0.150716.951 0.1025 16.251 0.08870000
II/364/tableb1 VIRAC. The VVV Infrared Astrometric Catalogue (Smith+, 2019)
Parallax sources measured at 5σ (6935 rows)
img(gal)
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_r
arcsec
Seq

RA_ICRS
"h:m:s"
DE_ICRS
"d:m:s"
pmRA*
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
plx
mas
e_
mas
Zmag
mag
e_
mag
n_

Ymag
mag
e_
mag
n_

Jmag
mag
e_
mag
n_

Hmag
mag
e_
mag
n_

Ksmag
mag
e_
mag
srcid

_RA.icrs
"h:m:s"
_DE.icrs
"d:m:s"
11.319 50014 11 59.32-59 20 45.70 82.15 0.80 -54.60 0.9866.8 1.713.91 0.01  13.96 0.01  13.79 0.01  13.64 0.01  13.55 0.0139251591414 11 59.16-59 20 44.88
II/364/tablec1 VIRAC. The VVV Infrared Astrometric Catalogue (Smith+, 2019)
VIRAC sources whose parallaxes place them within 25pc (10 rows)
img(gal)
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_r
arcsec
Seq

RA_ICRS
"h:m:s"
DE_ICRS
"d:m:s"
pmRA*
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
plx
mas
e_
mas
Zmag
mag
e_
mag
n_

Ymag
mag
e_
mag
Jmag
mag
e_
mag
Hmag
mag
e_
mag
Ksmag
mag
e_
mag
_RA.icrs
"h:m:s"
_DE.icrs
"d:m:s"
11.319 214 11 59.32-59 20 45.70 82.15 0.80 -54.60 0.9866.8 1.713.91 0.01  13.96 0.0113.79 0.0113.64 0.0113.55 0.0114 11 59.16-59 20 44.88
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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Full

_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

12.064212.9971337 0.0519-59.3463249 0.0500J141159.30-592046.7 12 12 12 12212.9971218 0.0511-59.3463173 0.0499 0.01627 0.0094 -0.05607 0.0144 41.1 42.7 5.4e+03 1e+02 4.0e+03 1e+0213.16213.4861N000 0.170 0.853 1.027 5.43e+00 2.71e+013333  00WISEA

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

10.002 210958723212.99655874444-59.34583180190  154-13399514115917-59204495867776696271127424STARtmgaia2 79.271 0.060 -59.722 0.083gaia2                    DWARF 14.3873 0.0077                 0.0077 0.0077bj2018       1.06438762747 1.28113724503212.99722816423-59.34608894216 0.01993770395 0.02718912108Sloan
24.088 1028525605212.99642223525-59.34469880589      5867776696234158336STARgaia2 -14.814 2.767 2.020 2.683gaia2                       2393.7900 1813.6000                 1346.2500 2280.9500bj2018       49.36939764255 41.59824515329212.99629714434-59.34469010670 0.74234301903 0.81706804166Sloan

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

10.002 210958723212.99655874444-59.34583180190  154-13399514115917-59204495867776696271127424STARtmgaia2 79.271 0.060 -59.722 0.083gaia2                    DWARF 14.3873 0.0077                 0.0077 0.0077bj2018       1.064388 1.281137212.99722816423-59.34608894216 0.019938 0.027189Sloan
24.088 1028525605212.99642223525-59.34469880589      5867776696234158336STARgaia2 -14.814 2.767 2.020 2.683gaia2                       2393.7900 1813.6000                 1346.2500 2280.9500bj2018       49.369398 41.598245212.99629714434-59.34469010670 0.742343 0.817068Sloan
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
arcsec
RA1875
deg
DE1875
deg
Cst

10.0210.7824-58.7547Cen

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

13.890 125.02627.15723.60522.947212.9958360062-59.3468483019 2278.9 -5.101 -0.883 19.0 0.2400 0.05 3258 5.0100  
23.891 118.35919.22317.39516.959212.9958359845-59.3468483232 2278.9 -5.101 -0.883 -16.4 1.3100 0.05 0 0.0000  
33.891 118.36219.22417.39716.963212.9958359796-59.3468483280 2278.9 -5.101 -0.883 -20.4 1.0700 0.05 5888 4.4200  

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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_r
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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

10.493 9167212.996827-59.34583614.046 0.0313.788 0.09         98 55  J141159.2-592045
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)
img(gal)
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_r
arcsec
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
11.537GaiaDR2212.99722816-59.34608894 69.47 79.27 -59.7214.56414.76614.1866869 0.2772 6.977 4.626.399.914.79714.48414.17514.554      
J/A+A/629/A139/table3 Closest stars to the Sun within 50pc catalog (Torres+, 2019)
Catalogue of closest stars to the Sun within 50pc (73246 rows)
img(gal)
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_r
arcsec
Source

RA_ICRS
deg
DE_ICRS
deg
Plx
mas
pmRA
mas/yr
pmDE
mas/yr
Gmag
mag
BPmag
mag
RPmag
mag
RV
km/s
rh
pc
tph
Myr
dph
pc
vtot
km/s
_RA.icrs
deg
_DE.icrs
deg
11.5375867776696271127424212.997228164228999958-59.346088942157400936 69.476936392708396 79.2713301945626938050 -59.7224594677175986134914.563544000000000314.765615000000000414.1856130000000000  14.3932656205168001      212.996558744193009716-59.345831802074997086
J/A+A/649/A6/table1c Gaia Catalogue of Nearby Stars - GCNS (Gaia collaboration, 2021)
Selected objects (331312 rows)
img(gal)
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_r
arcsec
GaiaEDR3

RA_ICRS
deg
DE_ICRS
deg
Plx
mas
pmRA
mas/yr
pmDE
mas/yr
Gmag
mag
BPmag
mag
RPmag
mag
RV
km/s
Dist50
kpc
xcoord50
pc
ycoord50
pc
zcoord50
pc
Uvel50
km/s
Vvel50
km/s
Wvel50
km/s
gmag
mag
rmag
mag
imag
mag
zmag
mag
Jmag
mag
Hmag
mag
Ksmag
mag
W1mag
mag
W2mag
mag
W3mag
mag
W4mag
mag
GAIAEDR3Cat

_RA.icrs
deg
_DE.icrs
deg
11.5875867776696271127424212.9972497-59.3460972 69.441 79.284 -59.598 14.5518 14.7637 14.1779   0.01440 9.82400 -10.51753 0.48609       14.724 14.538     13.805 13.611 13.487 13.258 13.389    GAIAEDR3Cat212.9965586-59.3458323
J/A+A/657/A7/tablea3 Stellar and substellar companions from Gaia EDR3 (Kervella+, 2022)
CPM candidate companions for Gaia stars within 100 pc (8103738 rows)
img(gal)
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_r
arcsec
T

HIP

EDR3-Source

Name

RA_ICRS
deg
DE_ICRS
deg
rPos

Vmag
mag
Hpmag
mag
Gmag
mag
Kmag
mag
Plx
mas
RV
km/s
pmRA
mas/a
pmDE
mas/a
Mass
Msun
Radius
Rsun
N

Sep
arcsec
PA
deg
LinSep
au
dVtan
km/s
Vesc
km/s
dpmPA
deg
11.5871  5867776696271127424VVV J14115932-5920457212.99724974844-59.34609724599G    14.551813.487 69.441   79.284 -59.598 0.09   0            
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)
img(gal)
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_r
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Source

RA_ICRS
deg
DE_ICRS
deg
Teff
K
e_
K
11.5375867776696271127424212.99722816423-59.346088942166474 319
J/AJ/159/84/table2 Machine-learning regression of extinction in Gaia DR2 (Bai+, 2020)
Results of our regression for Gaia DR2 (132739322 rows)
img(gal)
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_r
arcsec
Source

RA_ICRS
deg
DE_ICRS
deg
E(BP-RP)
mag
e_
mag
11.5375867776696271127424212.99722816423-59.34608894216 9.22e-04 0.030900
J/AJ/161/234/table2 1.7 million K and M dwarfs cross-matching (Medan+, 2021)
Best matches found in this study with a Bayesian probability greater than 95% for all cross matches in this study (5827988 rows)
img(gal)
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_r
arcsec
GaiaDR2

Gmag
mag
BPmag
mag
RPmag
mag
RA_ICRS
deg
DE_ICRS
deg
plx
mas
pmRA
mas/yr
pmDE
mas/yr
SDSS

umagS
mag
gmagS
mag
rmagS
mag
imagS
mag
zmagS
mag
RASdeg
deg
DESdeg
deg
SDSSProb

SDSSSep
arcsec
2MASS

Jmag
mag
Hmag
mag
Ksmag
mag
RA2deg
deg
DE2deg
deg
2MASSProb

2MASSSep
arcsec
AllWISE

W1mag
mag
W2mag
mag
W3mag
mag
W4mag
mag
RAWdeg
deg
DEWdeg
deg
WISEProb

WISESep
arcsec
GALEX

FUVmag
mag
NUVmag
mag
RAGdeg
deg
DEGdeg
deg
GALEXProb

GALEXSep
arcsec
PS1

gmagP
mag
rmagP
mag
imagP
mag
zmagP
mag
ymagP
mag
RAPdeg
deg
DEPdeg
deg
PS1Prob

PS1Sep
arcsec
RAVE

BTmag
mag
VTmag
mag
RARdeg
deg
DERdeg
deg
RAVEProb

RAVESep
arcsec
_RA.icrs
deg
_DE.icrs
deg
11.537586777669627112742414.56350014.76560014.185600212.99722816423-59.34608894216 69.4769 79.271 -59.72299.0                  14115917-592044913.80513.61113.487212.996571-59.345825 0.9988899 0.192023399.0                 99                                99.0            212.99655874698-59.34583180406
J/AJ/161/234/table3 1.7 million K and M dwarfs cross-matching (Medan+, 2021)
All of the possible matches for the cross match between Gaia and 2MASS (8767235 rows)
img(gal)
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_r
arcsec
GaiaDR2

Gmag
mag
RA_ICRS
deg
DE_ICRS
deg
2MASS

Jmag
mag
e_
mag
Hmag
mag
e_
mag
Ksmag
mag
e_
mag
RA2deg
deg
DE2deg
deg
2MASSProb

2MASSSep
arcsec
_RA.icrs
deg
_DE.icrs
deg
11.537586777669627112742414.563500212.99722816423-59.3460889421614115795-592045115.411 0.05014.779 0.05714.677 0.092212.991471-59.345863 0.0087951 9.1926560212.99722816423-59.34608894216
21.537586777669627112742414.563500212.99722816423-59.3460889421614115917-592044913.805 0.03713.611 0.04613.487 0.062212.996571-59.345825 0.9988899 0.1920233212.99722816423-59.34608894216
31.537586777669627112742414.563500212.99722816423-59.3460889421614115925-592049915.942 0.08614.865 0.07014.334 0.077212.996915-59.347214 0.4343751 5.1506712212.99722816423-59.34608894216
41.537586777669627112742414.563500212.99722816423-59.3460889421614115995-592045512.246 0.02811.373 0.02711.074 0.028212.999796-59.345982 0.3858174 6.1252356212.99722816423-59.34608894216
51.537586777669627112742414.563500212.99722816423-59.3460889421614120010-592057516.350 0.10915.440 0.10715.564  213.000444-59.349323 0.000000014.6209933212.99722816423-59.34608894216
61.537586777669627112742414.563500212.99722816423-59.3460889421614120029-592049515.517 0.08812.865  12.695  213.001241-59.347107 0.0454995 9.9269064212.99722816423-59.34608894216
J/AJ/161/234/table4 1.7 million K and M dwarfs cross-matching (Medan+, 2021)
All of the possible matches for the cross match between Gaia and AllWISE (7929318 rows)
img(gal)
start AladinLite
Full

_r
arcsec
GaiaDR2

Gmag
mag
RA_ICRS
deg
DE_ICRS
deg
AllWISE

W1mag
mag
e_
mag
W2mag
mag
e_
mag
W3mag
mag
e_
mag
W4mag
mag
e_
mag
RAAdeg
deg
DEAdeg
deg
WISEProb

WISESep
arcsec
_RA.icrs
deg
_DE.icrs
deg
11.537586777669627112742414.563500212.99722816423-59.34608894216J141159.90-592045.510.757 0.02410.845 0.02211.481 0.232 9.180  212.9996017-59.3459888 0.8301364 4.7767790212.99722816423-59.34608894216
J/MNRAS/480/3942/table1 The Gaia 20 pc white dwarf sample (Hollands+, 2018)
Astrometric and photometric data for our Gaia 20pc white dwarf sample, as well as the results from our model atmosphere fits (139 rows)
img(gal)
start AladinLite
Full

_r
arcsec
RA_ICRS
"h:m:s"
DE_ICRS
"d:m:s"
WDName

GaiaDR2

plx
mas
e_
mas
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
Gmag
mag
e_
mag
BPmag
mag
e_
mag
RPmag
mag
e_
mag
SpType

comp

Teff
K
e_
K
logg
[cm/s2]
e_
(...)
Note

Simbad

_RA.icrs
"h:m:s"
_DE.icrs
"d:m:s"
11.5014 11 59.33-59 20 45.9-5867776696271127424 69.48 0.04 79.27 0.06 -59.72 0.0814.5635 0.000314.7656 0.002814.1856 0.0011 - H 6641 15 8.10 0.015Gaia DR2 5867776696271127424 14 11 59.17-59 20 45.0
J/MNRAS/480/4505/tablea A white dwarf catalogue from Gaia-DR2 (Jimenez-Esteban+, 2018)
White dwarfs from Gaia-DR2 and the VO (73221 rows)
img(gal)
start AladinLite
Full

_r
arcsec
RA_ICRS
deg
DE_ICRS
deg
GaiaDR2

plx
mas
Dist
pc
pmRA
mas/yr
pmDE
mas/yr
Gmag
mag
BPmag
mag
RPmag
mag
Teff
K
loggVOSA
[cm/s2]
Lbol
Lsun
logg
[cm/s2]
e_
(...)
Rad
Rsun
e_
Rsun
M
Msun
e_
Msun
Sname

Stype

Sotype

SSptype

Simbad

_RA.icrs
deg
_DE.icrs
deg
11.537212.99722816423-59.346088942165867776696271127424 69.4769363927084100 14.393265620516765 79.27133019456269380498 -59.72245946771758440263514.563544014.765615014.1856130 6500 9.00 0.000242066370 8.05 0.055 0.01229 0.00047 0.6202 0.0915 VVV J141159.32-592045.7 WD*    Gaia DR2 5867776696271127424 212.99655874419-59.34583180208
J/MNRAS/482/4570/gaia2wd Gaia DR2 white dwarf candidates (Gentile Fusillo+, 2019)
DR2 white dwarf candidates, corrected version (gaiadr2whitedwarfcandidates.dat) (486641 rows)
img(gal)
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Full

_r
arcsec
Sp

WD

Source

RA_ICRS
deg
DE_ICRS
deg
Plx
mas
pmRA
mas/yr
pmDE
mas/yr
Gmag
mag
BPmag
mag
RPmag
mag
SDSS

umag
mag
gmag
mag
rmag
mag
imag
mag
zmag
mag
Pwd

TeffH
K
loggH

MassH
Msun
TeffHe
K
loggHe

MassHe
Msun
_RA.icrs
deg
_DE.icrs
deg
11.537  WDJ141159.17-592044.995867776696271127424212.99722816423-59.34608894216 69.4769 79.271 -59.72214.56354414.76561514.185613            0.99568 6662.352170 8.104357 0.654716 6536.083034 8.033834 0.593814212.99655874419-59.34583180207
J/MNRAS/508/3877/maincat Catalogue of white dwarfs in Gaia EDR3 (Gentile+, 2021)
White dwarf main catalog (1280266 rows)
img(gal)
start AladinLite
Full

_r
arcsec
WDJname

GaiaEDR3

RA_ICRS
deg
DE_ICRS
deg
Plx
mas
Pwd

pmRA
mas/yr
pmDE
mas/yr
Gmag
mag
BPmag
mag
RPmag
mag
TeffH
K
loggH
[cm/s2]
MassH
Msun
TeffHe
K
loggHe
[cm/s2]
MassHe
Msun
rgeo
pc
rpgeo
pc
SDSS12

umag
mag
gmag
mag
rmag
mag
imag
mag
zmag
mag
_RA.icrs
deg
_DE.icrs
deg
11.587WDJ141159.17-592044.995867776696271127424212.99724974844-59.34609724599 69.4414 0.992316 79.284 -59.59814.551814.763714.1779 6652.91 8.107106 0.656415 6524.64 8.035404 0.594747 14.39415260 14.39303020            212.99655862375-59.34583236416
J/MNRAS/518/5106/catalog Classification of the 100pc WDs (Jimenez-Esteban+, 2023)
White dwarf catalog from Gaia-DR3 and the VO (12718 rows)
img(gal)
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Full

_r
arcsec
RA_ICRS
deg
DE_ICRS
deg
Gaia

Dist
pc
e_
pc
GMag
mag
e_
mag
SpT

Prob
%
Teff
K
e_
K
Mass
K
e_
K
logg
[cm/s2]
e_
(...)
SpT-MWDD

SimbadName

SpT-S

_RA.icrs
deg
_DE.icrs
deg
11.587212.99724974844-59.34609724599586777669627112742414.400630 0.0056113.759860 0.00041DA 0.689 6555.7 10.10 0.6157 0.00238 8.0493 0.00401  VVV_J141159.32-592045.7  212.99655862375-59.34583236416
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