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 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

10.0980738-0053921YM078.2500861-16.1882639Y 64.7 9.0 -43.3 9.0    15.370Y    11.63711.04410.736  

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

10.135370-007541078.2501186-16.1882731 15216.2275 0    11.63710.736        000000000

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_
(...)
10.134078.250118-16.188273 0.084 0.12716.268 0.50013.920 0.50014.008 0.40012.356 0.5001983.89001983.8900 0.0 50.0 0.0 50.0
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

10.805078.2503064701 0.688-16.1883431524 1.1622983174332640394880      -0.5970 2.1672e+04 8.2484e+0114.685NOT_AVAILABLE

Note: UCAC5 document

I/340/ucac5 UCAC5 Catalogue (Zacharias+ 2017)
2017yCat.1340....0Z

Fifth U.S. Naval Observatory CCD Astrograph Catalog (original column names in green) (107758513 rows)
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RAJ2000
deg
DEJ2000
deg
SrcIDgaia

RAgaia
deg
e_
mas
DEgaia
deg
e_
mas
Org

Nu

EPucac
yr
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
Gmag
mag
f.mag
mag
Rmag
mag
Jmag
mag
Hmag
mag
Kmag
mag
10.132078.2501178-16.18827252983174332640394880 78.2503064 0.7-16.1883431 1.22 21999.857 43.1 5.6 -16.8 5.814.68516.70530.00011.63711.04410.736
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
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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
10.838078.25031395462 0.4405-16.18834927418 0.47732983174336936702592 21.0072 0.5619 45.228 0.939 -29.147 0.9801 2.0501e+04 4.7894e+0114.90890.0025 3.0726e+03 2.3624e+0116.63260.0083 3.0273e+04 5.8598e+0113.55930.0021 3.0733    4018.37 0.4580 0.2793    
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

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

ModFlag

10.8382983174336936702592078.25031395462-16.18834927418 47.601538748476401 46.351042323652798 48.920113604775501454.45453378592511
I/349/starhorse StarHorse, Gaia DR2 photo-astrometric distances (Anders+, 2019)
Starhorse catalog (265637087 rows)
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RA_ICRS
deg
DE_ICRS
deg
Source

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

10.838078.2503139546-16.18834927422983174336936702592 0.050952 0.515313 0.407314 3103.79 4.913564 0.194477 0.322072 0.522205 0.309551 2.860673 10.937300 -8.235518 -0.026998 -0.013612 8.235561 9.518333
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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RA_ICRS
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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
10.868078.25032188635 0.3046-16.18835269678 0.29062983174336936702592 21.5319 0.4645 54.254 47.971 0.427 -25.344 0.414 15.684 1.9027e+04 7.5681e+0114.988949 0.005123 2.9117e+03 3.2580e+0116.678192 0.012465 3.0205e+04 4.1074e+0113.547712 0.004058 3.130480         88570782502474334      14.988949 0.005123 1.9027e+04 78.25009988182-16.18824005484
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

10.8682983174336936702592078.25032188635-16.18835269678 46.28631590 45.34352490 47.41685490 46.32069780 45.35993960 47.4303093010033
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
10.838S28N020026078.25031395462-16.18834927418 20231113200262015.500014.908924                  16.78015.78514.17013.36012.9669 11.637 11.044 10.736    10.55910.31510.279 8.838          
21.003S28N028805078.25001863000-16.18850741000 20231113288052014.7743                      16.643    16.3086                            
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
10.868078.25032188635-16.188352696782983174336936702592 0.3046 0.2906 21.5319 0.4645 54.254 47.971 0.427 -25.344 0.414 15.684 19026.85919 7.5681e+0114.988949 2.9117e+03 3.2580e+0116.678192 3.0205e+04 4.1074e+0113.547712 3.130480 23.87 3.10  12.88902900011000010             88570782502474334        J051300.04-161117.9      05130001-1611177   78.25009987995-16.18824005389
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
10.8682983174336936702592078.25032188635-16.18835269678 0.00000000 0.00000000 0.99984320 0.00000000 0.00015684                                
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

10.8682983174336936702592078.25032188635-16.188352696784545469030156206080 7 0.9998362407 30 1.057421 2.62986e+03 42 0 321 0.999975 2889 13 1.037443 3.05020e+03 50 0 2
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_
(...)
10.8682983174336936702592078.25032188635-16.18835269678 336 1.4409342e-18 4.4701266e-18
20.8682983174336936702592078.25032188635-16.18835269678 338 4.8236558e-18 3.1795162e-18
30.8682983174336936702592078.25032188635-16.18835269678 340 5.5745426e-18 2.5635475e-18
40.8682983174336936702592078.25032188635-16.18835269678 342 2.0618030e-18 2.1582904e-18
50.8682983174336936702592078.25032188635-16.18835269678 344 5.0751635e-19 2.0126744e-18
60.8682983174336936702592078.25032188635-16.18835269678 346 3.2240986e-18 1.9465847e-18
70.8682983174336936702592078.25032188635-16.18835269678 348 5.2069473e-18 2.0254251e-18
80.8682983174336936702592078.25032188635-16.18835269678 350 2.5812305e-18 2.1358562e-18
90.8682983174336936702592078.25032188635-16.18835269678 352-5.0176433e-20 2.3274677e-18
100.8682983174336936702592078.25032188635-16.18835269678 354 2.9685957e-18 2.4972110e-18
110.8682983174336936702592078.25032188635-16.18835269678 356 6.8461360e-18 2.3415550e-18
120.8682983174336936702592078.25032188635-16.18835269678 358 5.0627825e-18 2.1168646e-18
130.8682983174336936702592078.25032188635-16.18835269678 360 1.4977619e-18 1.8784442e-18
140.8682983174336936702592078.25032188635-16.18835269678 362 7.5459975e-19 1.8583828e-18
150.8682983174336936702592078.25032188635-16.18835269678 364 1.9113550e-18 1.8206142e-18
160.8682983174336936702592078.25032188635-16.18835269678 366 1.4794918e-18 1.8631453e-18
170.8682983174336936702592078.25032188635-16.18835269678 368-1.5752807e-19 2.0165070e-18
180.8682983174336936702592078.25032188635-16.18835269678 370 9.0801600e-19 2.0119469e-18
190.8682983174336936702592078.25032188635-16.18835269678 372 4.9368467e-18 2.2050108e-18
200.8682983174336936702592078.25032188635-16.18835269678 374 6.7390900e-18 2.1798058e-18
210.8682983174336936702592078.25032188635-16.18835269678 376 3.0274290e-18 2.3695161e-18
220.8682983174336936702592078.25032188635-16.18835269678 378-2.0773615e-18 2.4598507e-18
230.8682983174336936702592078.25032188635-16.18835269678 380-2.1972230e-18 2.3975516e-18
240.8682983174336936702592078.25032188635-16.18835269678 382 2.4000335e-18 2.5776058e-18
250.8682983174336936702592078.25032188635-16.18835269678 384 5.2993810e-18 2.3024128e-18
260.8682983174336936702592078.25032188635-16.18835269678 386 3.6181815e-18 2.1675887e-18
270.8682983174336936702592078.25032188635-16.18835269678 388 1.0751732e-18 2.0265096e-18
280.8682983174336936702592078.25032188635-16.18835269678 390 1.3286719e-18 1.6605411e-18
290.8682983174336936702592078.25032188635-16.18835269678 392 3.4259408e-18 1.5565962e-18
300.8682983174336936702592078.25032188635-16.18835269678 394 4.3716653e-18 1.3902020e-18
310.8682983174336936702592078.25032188635-16.18835269678 396 3.0990289e-18 1.1923304e-18
320.8682983174336936702592078.25032188635-16.18835269678 398 1.1702462e-18 1.1779546e-18
330.8682983174336936702592078.25032188635-16.18835269678 400 6.6231607e-19 1.0867290e-18
340.8682983174336936702592078.25032188635-16.18835269678 402 2.0176705e-18 9.8116430e-19
350.8682983174336936702592078.25032188635-16.18835269678 404 3.8054597e-18 9.9728710e-19
360.8682983174336936702592078.25032188635-16.18835269678 406 4.2911355e-18 9.5809240e-19
370.8682983174336936702592078.25032188635-16.18835269678 408 3.0581130e-18 8.8592680e-19
380.8682983174336936702592078.25032188635-16.18835269678 410 1.2572683e-18 9.0911770e-19
390.8682983174336936702592078.25032188635-16.18835269678 412 4.8000710e-19 9.0480700e-19
400.8682983174336936702592078.25032188635-16.18835269678 414 1.3548176e-18 8.3889040e-19
410.8682983174336936702592078.25032188635-16.18835269678 416 3.0901054e-18 8.4322710e-19
420.8682983174336936702592078.25032188635-16.18835269678 418 4.2208007e-18 8.8097270e-19
430.8682983174336936702592078.25032188635-16.18835269678 420 3.8077874e-18 8.4155774e-19
440.8682983174336936702592078.25032188635-16.18835269678 422 2.1281473e-18 7.9929454e-19
450.8682983174336936702592078.25032188635-16.18835269678 424 4.0279240e-19 8.3317800e-19
460.8682983174336936702592078.25032188635-16.18835269678 426-1.5158863e-19 8.4461257e-19
470.8682983174336936702592078.25032188635-16.18835269678 428 8.3463120e-19 7.8733005e-19
480.8682983174336936702592078.25032188635-16.18835269678 430 2.7205457e-18 7.6685273e-19
490.8682983174336936702592078.25032188635-16.18835269678 432 4.3723204e-18 8.0941320e-19
500.8682983174336936702592078.25032188635-16.18835269678 434 4.9163434e-18 8.0749670e-19
510.8682983174336936702592078.25032188635-16.18835269678 436 4.2519110e-18 7.4659210e-19
520.8682983174336936702592078.25032188635-16.18835269678 438 2.9883043e-18 7.2691283e-19
530.8682983174336936702592078.25032188635-16.18835269678 440 1.9792453e-18 7.6501760e-19
540.8682983174336936702592078.25032188635-16.18835269678 442 1.8410578e-18 7.6724765e-19
550.8682983174336936702592078.25032188635-16.18835269678 444 2.6376080e-18 7.1204310e-19
560.8682983174336936702592078.25032188635-16.18835269678 446 3.9409354e-18 6.8126787e-19
570.8682983174336936702592078.25032188635-16.18835269678 448 5.1353260e-18 7.1172383e-19
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1280.8682983174336936702592078.25032188635-16.18835269678 590 9.3544760e-18 3.8141990e-19
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1300.8682983174336936702592078.25032188635-16.18835269678 594 9.1370090e-18 3.5920608e-19
1310.8682983174336936702592078.25032188635-16.18835269678 596 8.9999980e-18 3.5226840e-19
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1330.8682983174336936702592078.25032188635-16.18835269678 600 8.7633570e-18 3.5567170e-19
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1380.8682983174336936702592078.25032188635-16.18835269678 610 8.2006860e-18 3.6831500e-19
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1400.8682983174336936702592078.25032188635-16.18835269678 614 8.2725944e-18 3.5128515e-19
1410.8682983174336936702592078.25032188635-16.18835269678 616 8.4232850e-18 3.4156185e-19
1420.8682983174336936702592078.25032188635-16.18835269678 618 8.6687330e-18 3.3363170e-19
1430.8682983174336936702592078.25032188635-16.18835269678 620 8.9664510e-18 3.2681311e-19
1440.8682983174336936702592078.25032188635-16.18835269678 622 9.3625670e-18 3.2316116e-19
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1530.8682983174336936702592078.25032188635-16.18835269678 640 1.4977740e-17 5.5929295e-19
1540.8682983174336936702592078.25032188635-16.18835269678 642 1.5776978e-17 8.6039630e-19
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1560.8682983174336936702592078.25032188635-16.18835269678 646 1.7466116e-17 1.0154721e-18
1570.8682983174336936702592078.25032188635-16.18835269678 648 1.9111608e-17 1.0088800e-18
1580.8682983174336936702592078.25032188635-16.18835269678 650 2.1161487e-17 1.0710098e-18
1590.8682983174336936702592078.25032188635-16.18835269678 652 2.2969676e-17 1.0627978e-18
1600.8682983174336936702592078.25032188635-16.18835269678 654 2.3958072e-17 1.0153193e-18
1610.8682983174336936702592078.25032188635-16.18835269678 656 2.3870278e-17 1.0489961e-18
1620.8682983174336936702592078.25032188635-16.18835269678 658 2.2896252e-17 1.0832240e-18
1630.8682983174336936702592078.25032188635-16.18835269678 660 2.1471954e-17 1.0345066e-18
1640.8682983174336936702592078.25032188635-16.18835269678 662 1.9939599e-17 1.0086397e-18
1650.8682983174336936702592078.25032188635-16.18835269678 664 1.8419703e-17 1.0534571e-18
1660.8682983174336936702592078.25032188635-16.18835269678 666 1.6880429e-17 1.0513375e-18
1670.8682983174336936702592078.25032188635-16.18835269678 668 1.5384694e-17 1.0005696e-18
1680.8682983174336936702592078.25032188635-16.18835269678 670 1.4110630e-17 1.0096072e-18
1690.8682983174336936702592078.25032188635-16.18835269678 672 1.3318504e-17 1.0487612e-18
1700.8682983174336936702592078.25032188635-16.18835269678 674 1.3228915e-17 1.0329126e-18
1710.8682983174336936702592078.25032188635-16.18835269678 676 1.3852097e-17 1.0157771e-18
1720.8682983174336936702592078.25032188635-16.18835269678 678 1.4785300e-17 1.0529002e-18
1730.8682983174336936702592078.25032188635-16.18835269678 680 1.5544770e-17 1.0837674e-18
1740.8682983174336936702592078.25032188635-16.18835269678 682 1.5766120e-17 1.0777472e-18
1750.8682983174336936702592078.25032188635-16.18835269678 684 1.5413712e-17 1.0926354e-18
1760.8682983174336936702592078.25032188635-16.18835269678 686 1.4897258e-17 1.1378946e-18
1770.8682983174336936702592078.25032188635-16.18835269678 688 1.4852951e-17 1.1618076e-18
1780.8682983174336936702592078.25032188635-16.18835269678 690 1.5783916e-17 1.1703771e-18
1790.8682983174336936702592078.25032188635-16.18835269678 692 1.7786989e-17 1.2003270e-18
1800.8682983174336936702592078.25032188635-16.18835269678 694 2.0588393e-17 1.2392020e-18
1810.8682983174336936702592078.25032188635-16.18835269678 696 2.3446299e-17 1.2583634e-18
1820.8682983174336936702592078.25032188635-16.18835269678 698 2.5662382e-17 1.2803882e-18
1830.8682983174336936702592078.25032188635-16.18835269678 700 2.6738240e-17 1.3125591e-18
1840.8682983174336936702592078.25032188635-16.18835269678 702 2.6671980e-17 1.3350578e-18
1850.8682983174336936702592078.25032188635-16.18835269678 704 2.5558010e-17 1.3445381e-18
1860.8682983174336936702592078.25032188635-16.18835269678 706 2.3879975e-17 1.3690624e-18
1870.8682983174336936702592078.25032188635-16.18835269678 708 2.2058675e-17 1.3957352e-18
1880.8682983174336936702592078.25032188635-16.18835269678 710 2.0296167e-17 1.3975699e-18
1890.8682983174336936702592078.25032188635-16.18835269678 712 1.8837177e-17 1.4049196e-18
1900.8682983174336936702592078.25032188635-16.18835269678 714 1.7876313e-17 1.4428485e-18
1910.8682983174336936702592078.25032188635-16.18835269678 716 1.7645003e-17 1.4747548e-18
1920.8682983174336936702592078.25032188635-16.18835269678 718 1.8344335e-17 1.4710557e-18
1930.8682983174336936702592078.25032188635-16.18835269678 720 2.0064179e-17 1.4720737e-18
1940.8682983174336936702592078.25032188635-16.18835269678 722 2.2846735e-17 1.5196477e-18
1950.8682983174336936702592078.25032188635-16.18835269678 724 2.6268467e-17 1.5563709e-18
1960.8682983174336936702592078.25032188635-16.18835269678 726 2.9918190e-17 1.5457804e-18
1970.8682983174336936702592078.25032188635-16.18835269678 728 3.3393652e-17 1.5369088e-18
1980.8682983174336936702592078.25032188635-16.18835269678 730 3.6226345e-17 1.5713469e-18
1990.8682983174336936702592078.25032188635-16.18835269678 732 3.8325530e-17 1.6041489e-18
2000.8682983174336936702592078.25032188635-16.18835269678 734 3.9976570e-17 1.5836520e-18
2010.8682983174336936702592078.25032188635-16.18835269678 736 4.1631280e-17 1.5501369e-18
2020.8682983174336936702592078.25032188635-16.18835269678 738 4.3507370e-17 1.5666710e-18
2030.8682983174336936702592078.25032188635-16.18835269678 740 4.5834935e-17 1.6074367e-18
2040.8682983174336936702592078.25032188635-16.18835269678 742 4.8589658e-17 1.5967934e-18
2050.8682983174336936702592078.25032188635-16.18835269678 744 5.1328698e-17 1.5399119e-18
2060.8682983174336936702592078.25032188635-16.18835269678 746 5.3636955e-17 1.5279365e-18
2070.8682983174336936702592078.25032188635-16.18835269678 748 5.5009960e-17 1.5762642e-18
2080.8682983174336936702592078.25032188635-16.18835269678 750 5.5346592e-17 1.5950385e-18
2090.8682983174336936702592078.25032188635-16.18835269678 752 5.4377573e-17 1.5233228e-18
2100.8682983174336936702592078.25032188635-16.18835269678 754 5.2520596e-17 1.4392217e-18
2110.8682983174336936702592078.25032188635-16.18835269678 756 4.9884454e-17 1.4373677e-18
2120.8682983174336936702592078.25032188635-16.18835269678 758 4.7067368e-17 1.4927818e-18
2130.8682983174336936702592078.25032188635-16.18835269678 760 4.4378260e-17 1.4972796e-18
2140.8682983174336936702592078.25032188635-16.18835269678 762 4.1927562e-17 1.4231045e-18
2150.8682983174336936702592078.25032188635-16.18835269678 764 3.9968350e-17 1.3538195e-18
2160.8682983174336936702592078.25032188635-16.18835269678 766 3.8574532e-17 1.3535424e-18
2170.8682983174336936702592078.25032188635-16.18835269678 768 3.7710000e-17 1.3748946e-18
2180.8682983174336936702592078.25032188635-16.18835269678 770 3.7442960e-17 1.3531454e-18
2190.8682983174336936702592078.25032188635-16.18835269678 772 3.7560500e-17 1.2952348e-18
2200.8682983174336936702592078.25032188635-16.18835269678 774 3.8064992e-17 1.2709680e-18
2210.8682983174336936702592078.25032188635-16.18835269678 776 3.8944034e-17 1.2979709e-18
2220.8682983174336936702592078.25032188635-16.18835269678 778 4.0052320e-17 1.3177063e-18
2230.8682983174336936702592078.25032188635-16.18835269678 780 4.1272630e-17 1.2929685e-18
2240.8682983174336936702592078.25032188635-16.18835269678 782 4.2431340e-17 1.2516387e-18
2250.8682983174336936702592078.25032188635-16.18835269678 784 4.3723620e-17 1.2489088e-18
2260.8682983174336936702592078.25032188635-16.18835269678 786 4.4976060e-17 1.2733047e-18
2270.8682983174336936702592078.25032188635-16.18835269678 788 4.6261930e-17 1.2808683e-18
2280.8682983174336936702592078.25032188635-16.18835269678 790 4.7699572e-17 1.2578195e-18
2290.8682983174336936702592078.25032188635-16.18835269678 792 4.9300315e-17 1.2318582e-18
2300.8682983174336936702592078.25032188635-16.18835269678 794 5.1164330e-17 1.2314403e-18
2310.8682983174336936702592078.25032188635-16.18835269678 796 5.3213220e-17 1.2422288e-18
2320.8682983174336936702592078.25032188635-16.18835269678 798 5.5236673e-17 1.2347511e-18
2330.8682983174336936702592078.25032188635-16.18835269678 800 5.7272050e-17 1.2128303e-18
2340.8682983174336936702592078.25032188635-16.18835269678 802 5.9043650e-17 1.1958616e-18
2350.8682983174336936702592078.25032188635-16.18835269678 804 6.0495126e-17 1.1941956e-18
2360.8682983174336936702592078.25032188635-16.18835269678 806 6.1771430e-17 1.1951144e-18
2370.8682983174336936702592078.25032188635-16.18835269678 808 6.2677260e-17 1.1799560e-18
2380.8682983174336936702592078.25032188635-16.18835269678 810 6.3328425e-17 1.1594432e-18
2390.8682983174336936702592078.25032188635-16.18835269678 812 6.3870060e-17 1.1537110e-18
2400.8682983174336936702592078.25032188635-16.18835269678 814 6.4127164e-17 1.1570014e-18
2410.8682983174336936702592078.25032188635-16.18835269678 816 6.4674155e-17 1.1581946e-18
2420.8682983174336936702592078.25032188635-16.18835269678 818 6.4999905e-17 1.1380591e-18
2430.8682983174336936702592078.25032188635-16.18835269678 820 6.5359190e-17 1.1184039e-18
2440.8682983174336936702592078.25032188635-16.18835269678 822 6.5418550e-17 1.1174823e-18
2450.8682983174336936702592078.25032188635-16.18835269678 824 6.5310475e-17 1.1350488e-18
2460.8682983174336936702592078.25032188635-16.18835269678 826 6.5147170e-17 1.1459484e-18
2470.8682983174336936702592078.25032188635-16.18835269678 828 6.4752360e-17 1.1302744e-18
2480.8682983174336936702592078.25032188635-16.18835269678 830 6.4162740e-17 1.1034429e-18
2490.8682983174336936702592078.25032188635-16.18835269678 832 6.3536270e-17 1.0982778e-18
2500.8682983174336936702592078.25032188635-16.18835269678 834 6.2771350e-17 1.1195170e-18
2510.8682983174336936702592078.25032188635-16.18835269678 836 6.2108820e-17 1.1436093e-18
2520.8682983174336936702592078.25032188635-16.18835269678 838 6.1703040e-17 1.1454281e-18
2530.8682983174336936702592078.25032188635-16.18835269678 840 6.1119270e-17 1.1204417e-18
2540.8682983174336936702592078.25032188635-16.18835269678 842 6.0648090e-17 1.1065049e-18
2550.8682983174336936702592078.25032188635-16.18835269678 844 5.9863676e-17 1.1208572e-18
2560.8682983174336936702592078.25032188635-16.18835269678 846 5.9519635e-17 1.1635297e-18
2570.8682983174336936702592078.25032188635-16.18835269678 848 5.9162690e-17 1.1901277e-18
2580.8682983174336936702592078.25032188635-16.18835269678 850 5.8909440e-17 1.1847257e-18
2590.8682983174336936702592078.25032188635-16.18835269678 852 5.8614554e-17 1.1615673e-18
2600.8682983174336936702592078.25032188635-16.18835269678 854 5.8705320e-17 1.1634573e-18
2610.8682983174336936702592078.25032188635-16.18835269678 856 5.9113070e-17 1.2009558e-18
2620.8682983174336936702592078.25032188635-16.18835269678 858 5.9976490e-17 1.2517564e-18
2630.8682983174336936702592078.25032188635-16.18835269678 860 6.1021080e-17 1.2779180e-18
2640.8682983174336936702592078.25032188635-16.18835269678 862 6.2240404e-17 1.2738666e-18
2650.8682983174336936702592078.25032188635-16.18835269678 864 6.3697725e-17 1.2677098e-18
2660.8682983174336936702592078.25032188635-16.18835269678 866 6.5123096e-17 1.2880505e-18
2670.8682983174336936702592078.25032188635-16.18835269678 868 6.6769360e-17 1.3470554e-18
2680.8682983174336936702592078.25032188635-16.18835269678 870 6.7349470e-17 1.3941964e-18
2690.8682983174336936702592078.25032188635-16.18835269678 872 6.8156824e-17 1.4293740e-18
2700.8682983174336936702592078.25032188635-16.18835269678 874 6.8278570e-17 1.4322268e-18
2710.8682983174336936702592078.25032188635-16.18835269678 876 6.8239550e-17 1.4377330e-18
2720.8682983174336936702592078.25032188635-16.18835269678 878 6.8017024e-17 1.4708059e-18
2730.8682983174336936702592078.25032188635-16.18835269678 880 6.8094010e-17 1.5409433e-18
2740.8682983174336936702592078.25032188635-16.18835269678 882 6.7809196e-17 1.6053314e-18
2750.8682983174336936702592078.25032188635-16.18835269678 884 6.7658790e-17 1.6469157e-18
2760.8682983174336936702592078.25032188635-16.18835269678 886 6.7644450e-17 1.6619908e-18
2770.8682983174336936702592078.25032188635-16.18835269678 888 6.7999137e-17 1.6783809e-18
2780.8682983174336936702592078.25032188635-16.18835269678 890 6.8731160e-17 1.7237573e-18
2790.8682983174336936702592078.25032188635-16.18835269678 892 6.9526456e-17 1.7969304e-18
2800.8682983174336936702592078.25032188635-16.18835269678 894 7.0392706e-17 1.8788793e-18
2810.8682983174336936702592078.25032188635-16.18835269678 896 7.1628104e-17 1.9539160e-18
2820.8682983174336936702592078.25032188635-16.18835269678 898 7.2510335e-17 1.9965201e-18
2830.8682983174336936702592078.25032188635-16.18835269678 900 7.3471175e-17 2.0361485e-18
2840.8682983174336936702592078.25032188635-16.18835269678 902 7.4286404e-17 2.0948103e-18
2850.8682983174336936702592078.25032188635-16.18835269678 904 7.4668440e-17 2.1795088e-18
2860.8682983174336936702592078.25032188635-16.18835269678 906 7.4819220e-17 2.2850325e-18
2870.8682983174336936702592078.25032188635-16.18835269678 908 7.5244830e-17 2.4012342e-18
2880.8682983174336936702592078.25032188635-16.18835269678 910 7.5052976e-17 2.4800287e-18
2890.8682983174336936702592078.25032188635-16.18835269678 912 7.4906430e-17 2.5420567e-18
2900.8682983174336936702592078.25032188635-16.18835269678 914 7.4916590e-17 2.6096485e-18
2910.8682983174336936702592078.25032188635-16.18835269678 916 7.5025510e-17 2.7028559e-18
2920.8682983174336936702592078.25032188635-16.18835269678 918 7.4653070e-17 2.8077364e-18
2930.8682983174336936702592078.25032188635-16.18835269678 920 7.4769490e-17 2.9474852e-18
2940.8682983174336936702592078.25032188635-16.18835269678 922 7.5529040e-17 3.1095553e-18
2950.8682983174336936702592078.25032188635-16.18835269678 924 7.5654640e-17 3.2279828e-18
2960.8682983174336936702592078.25032188635-16.18835269678 926 7.5930030e-17 3.3355167e-18
2970.8682983174336936702592078.25032188635-16.18835269678 928 7.6864450e-17 3.4691420e-18
2980.8682983174336936702592078.25032188635-16.18835269678 930 7.7330965e-17 3.5937580e-18
2990.8682983174336936702592078.25032188635-16.18835269678 932 7.7727800e-17 3.7323378e-18
3000.8682983174336936702592078.25032188635-16.18835269678 934 7.8384747e-17 3.8958143e-18
3010.8682983174336936702592078.25032188635-16.18835269678 936 7.8936960e-17 4.0575935e-18
3020.8682983174336936702592078.25032188635-16.18835269678 938 7.9512760e-17 4.2194723e-18
3030.8682983174336936702592078.25032188635-16.18835269678 940 7.9565147e-17 4.3556400e-18
3040.8682983174336936702592078.25032188635-16.18835269678 942 7.9513840e-17 4.4962287e-18
3050.8682983174336936702592078.25032188635-16.18835269678 944 8.0301680e-17 4.7024573e-18
3060.8682983174336936702592078.25032188635-16.18835269678 946 7.9792770e-17 4.8485750e-18
3070.8682983174336936702592078.25032188635-16.18835269678 948 7.9530720e-17 5.0141780e-18
3080.8682983174336936702592078.25032188635-16.18835269678 950 8.0102457e-17 5.2286773e-18
3090.8682983174336936702592078.25032188635-16.18835269678 952 7.9526180e-17 5.3586310e-18
3100.8682983174336936702592078.25032188635-16.18835269678 954 7.9469660e-17 5.5152150e-18
3110.8682983174336936702592078.25032188635-16.18835269678 956 8.0109330e-17 5.7209594e-18
3120.8682983174336936702592078.25032188635-16.18835269678 958 8.0271373e-17 5.8977605e-18
3130.8682983174336936702592078.25032188635-16.18835269678 960 8.0809840e-17 6.1031900e-18
3140.8682983174336936702592078.25032188635-16.18835269678 962 8.1525287e-17 6.3135410e-18
3150.8682983174336936702592078.25032188635-16.18835269678 964 8.2612195e-17 6.5353430e-18
3160.8682983174336936702592078.25032188635-16.18835269678 966 8.2926580e-17 6.6773096e-18
3170.8682983174336936702592078.25032188635-16.18835269678 968 8.3899513e-17 6.8655122e-18
3180.8682983174336936702592078.25032188635-16.18835269678 970 8.5099100e-17 7.0880340e-18
3190.8682983174336936702592078.25032188635-16.18835269678 972 8.4912214e-17 7.2299660e-18
3200.8682983174336936702592078.25032188635-16.18835269678 974 8.5883190e-17 7.5156630e-18
3210.8682983174336936702592078.25032188635-16.18835269678 976 8.5963090e-17 7.7654740e-18
3220.8682983174336936702592078.25032188635-16.18835269678 978 8.4885270e-17 7.9341860e-18
3230.8682983174336936702592078.25032188635-16.18835269678 980 8.5252730e-17 8.2509030e-18
3240.8682983174336936702592078.25032188635-16.18835269678 982 8.3456680e-17 8.3680800e-18
3250.8682983174336936702592078.25032188635-16.18835269678 984 8.2593130e-17 8.5975060e-18
3260.8682983174336936702592078.25032188635-16.18835269678 986 8.1343630e-17 8.8277920e-18
3270.8682983174336936702592078.25032188635-16.18835269678 988 7.9328160e-17 9.0245880e-18
3280.8682983174336936702592078.25032188635-16.18835269678 990 7.9154170e-17 9.4806670e-18
3290.8682983174336936702592078.25032188635-16.18835269678 992 7.7674754e-17 9.8031670e-18
3300.8682983174336936702592078.25032188635-16.18835269678 994 7.7809030e-17 1.0308361e-17
3310.8682983174336936702592078.25032188635-16.18835269678 996 7.8360064e-17 1.0816035e-17
3320.8682983174336936702592078.25032188635-16.18835269678 998 7.8771590e-17 1.1229400e-17
3330.8682983174336936702592078.25032188635-16.188352696781000 8.0662720e-17 1.1793190e-17
3340.8682983174336936702592078.25032188635-16.188352696781002 8.2915896e-17 1.2395105e-17
3350.8682983174336936702592078.25032188635-16.188352696781004 8.5391377e-17 1.3068023e-17
3360.8682983174336936702592078.25032188635-16.188352696781006 8.9720694e-17 1.4105770e-17
3370.8682983174336936702592078.25032188635-16.188352696781008 9.3055690e-17 1.5072124e-17
3380.8682983174336936702592078.25032188635-16.188352696781010 9.7928225e-17 1.6341560e-17
3390.8682983174336936702592078.25032188635-16.188352696781012 1.0354339e-16 1.7755930e-17
3400.8682983174336936702592078.25032188635-16.188352696781014 1.0727799e-16 1.8845860e-17
3410.8682983174336936702592078.25032188635-16.188352696781016 1.1371738e-16 2.0456598e-17
3420.8682983174336936702592078.25032188635-16.188352696781018 1.1613368e-16 2.1510604e-17
3430.8682983174336936702592078.25032188635-16.188352696781020 1.2109121e-16 2.3398185e-17
I/355/xpcont Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)
2022yCat.1355....0G

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

_r
arcsec
Source

RA_ICRS
deg
DE_ICRS
deg
SolID

BPDOF

NBP

BPNrej

BPstddev

BPchi2r

NBPbases

BPrelsh

RPDOF

NRP

RPNrej

RPstddev

RPchi2r

NRPbases

RPrelsh

BPrecnoS

BPNelem

BPcorrrecnoS

BPcorrNelem

RPrecnoS

RPNelem

RPcorrrecnoS

RPcorrNelem

10.8682983174336936702592078.25032188635-16.18835269678454546903015620608023522407 30 1.057421200 2.629865e+03 7 0.999836100 2834 2889 13 1.037443000 3.050200e+0321 0.99997520 325197466055 878033158201485 325197466055 878033158201485
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

10.868078.25032188635-16.188352696782983174336936702592plottsv
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)
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_r
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Source

RA_ICRS
deg
DE_ICRS
deg
E(BP/RP)corr

FU
W/m2/nm
10.8682983174336936702592 78.25032188635-16.18835269678 0.2403  
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

10.096078.250074-16.18825005130001-161117711.637 0.02111.044 0.02110.736 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

10.415J051300.04-161117.9078.250192-16.188314 0.075 0.068Im10.573 0.02310.376 0.02010.219 0.051 9.054  11.63711.04410.736ddd00000n 0.4682M

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)

start AladinLite
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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

10.448J051300.04-161117.9078.2502060-16.1883117Im10.559 0.02310.315 0.02010.279 0.082 8.838  11.637 0.02111.044 0.02110.736 0.021ddd00000n 157 38 7 42AAAU 0.5082M

Note:

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

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_r
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RAJ2000
deg
DEJ2000
deg
objID

f_objID

Qual

e_RAJ2000
(...)
e_DEJ2000
arcsec
Epoch
d
Ns

Nd

gmag
mag
e_
mag
gKmag
mag
e_
mag
gFlags

rmag
mag
e_
mag
rKmag
mag
e_
mag
rFlags

imag
mag
e_
mag
iKmag
mag
e_
mag
iFlags

zmag
mag
e_
mag
zKmag
mag
e_
mag
zFlags

ymag
mag
e_
mag
yKmag
mag
e_
mag
yFlags

10.774078.250297480-16.188341030 88570782502474334 503635968 60 0.0176 0.021256156.179340280 5 88 16.7802 0.030411.5120 0.13411689221615.7850 0.016414.8134 0.1965 11500014.1705 0.007014.2070 0.0245 11500013.3600 0.003213.3729 0.0089 11500012.9669 0.003212.9262 0.0401 115000
21.003078.250018630-16.188507410 88570782502074004 444751872 53 0.0086 0.008656663.773668980 1 4         1641616.6433 0.032314.5943 0.0053 16952         16416         1641616.3086 0.015216.1326 0.019816891960

Note:

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

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_r
arcsec
objID

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

q_W2

fFW1

fFW2

10.7700786m167o0023790078.2502845-16.1883596 5.7456e+04 6.8364e+04 3.9767e+01 9.2037e+01 1.00000 1.00000 0.9739 0.9459

Note:

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

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

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_r
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SrcID

RAJ2000
deg
DEJ2000
deg
Name

PriOrSec

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

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

Yavgap3

Yperrbits

Jpmag
mag
Jap3
mag
Japc3
mag
Javgap3

Jperrbits

Hpmag
mag
Hap3
mag
Hapc3
mag
Havgap3

Hperrbits

Kspmag
mag
Ksap3
mag
Ksapc3
mag
Ksavgap3

Ksperrbits

10.850473652633793078.250294-16.188385VHS J051300.07-161118.1 0       0.7677       0.8893-1 0.0988 0.0700 0.0446 0.0292         0 11.4061 12.1810 12.5235 97.189 16         0 11.2249 11.4132 11.6342 99.120 0
II/369/vexasps VEXAS DR2 catalogs (Khramtsov+, 2021)
VEXAS-PSW catalogue (21891609 rows)
img(gal)
start AladinLite
Full

_r
arcsec
VISTA

RAJ2000
deg
DEJ2000
deg
PS

AllWISE

Ymag
mag
Jmag
mag
Hmag
mag
Ksmag
mag
gmag
mag
rmag
mag
imag
mag
zmag
mag
ymag
mag
W1mag
mag
W2mag
mag
W3mag
mag
W4mag
mag
PStarVISTA

E(B-V)
mag
pSTAR

pQSO

pGALAXY

CLASS

Impflag

Warflag

10.695473652633793078.25024751-16.18837108 88570782502474334J051300.04-161117.9  11.335  11.19617.49015.64014.22113.55712.90110.54110.30110.279 8.838 0.99387 0.075 0.99893 0.00011 0.000960y0

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)

start AladinLite
Full

_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

10.838 169534644078.25031395462-16.18834927418  370-00754105130001-16111772983174336936702592STARtmgaia2           3148.0 157.0 4.9580 0.0051     0.272 0.010 0.245 0.021DWARF     68 0.0421                      cdwrf 0.44054293703 0.47733365103 78.25031395462-16.18834927418 0.44054293703 0.47733365103Sloan

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)

start AladinLite
Full

_r
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TIC

RAJ2000
deg
DEJ2000
deg
TYC

UCAC4

2MASS

GAIA

S/G

Ref

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

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

Dist
pc
s_
pc
Ncont

Rcont

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

e_Teff
K
E_Teff
K
r_Teff

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

10.838 169534644078.25031395462-16.18834927418  370-00754105130001-16111772983174336936702592STARtmgaia2           3148.0 157.0 4.9580 0.0051     0.272 0.010 0.245 0.021DWARF     68 0.0421                      cdwrf 0.440543 0.477334 78.25031395462-16.18834927418 0.440543 0.477334Sloan
V/148/morx The MORX catalogue (Flesch, 2016)
The catalogue (1002855 rows)
img(gal)
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_r
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RAJ2000
deg
DEJ2000
deg
Name

Descrip

Rmag
mag
Bmag
mag
Comment

R

B

z

Rconf
%
Xconf
%
Qpct
%
Gpct
%
Spct
%
Epct
%
Nname

Fname

Xname

Rname

Cname

Tname

Lobe1

Lobe2

Rdist
arcsec
Xdist
arcsec
obsid

RAmove
arcsec
DEmove
arcsec
Nobj

Nsources

Cite

Zcite

10.748078.2500000-16.1880556J051300.0-161117X16.8    nx     72.8 19 46 8 27    3XMM J051300.0-161117             13XMM:0143370101 -1.0 1 60 152    
V/155/gdr2ap GDR2AP. Gaia DR2, 2MASS, AllWISE astrophys. param. (Fouesneau+, 2022)
Sample records of GDR2AP (123097070 rows)
img(gal)
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_r
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GaiaDR2

RA_ICRS
deg
DE_ICRS
deg
A0best
mag
R0best

dmodbest
mag
logAbest
[yr]
logLbest
[Lsun]
logMbest
[Msun]
logTbest
[K]
loggbest
[cm/s2]
ABPbest
mag
AGbest
mag
ARPbest
mag
BPbest
mag
Gbest
mag
Hbest
mag
Jbest
mag
Ksbest
mag
RPbest
mag
W1best
mag
W2best
mag
10.72983174336936702592078.2503-16.1883 1.1346 3.26274 3.3886 6.5080-2.02460-0.68263 3.52481 4.9661 1.1046 0.8242 0.694913.231011.3914 7.6164 8.3287 7.2931 10.2289 7.1433 6.9888
VI/42/out Identification of a Constellation From Position (Roman 1987)
Compute constellation name from Position (357 rows)
img(gal)
start AladinLite
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_r
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RA1875
deg
DE1875
deg
Cst

10.2076.8477-16.3383Lep
IX/47/3xmmeu Enhanced 3XMM catalogue (3XMMe) (Rosen+, 2016)
2016yCat.9047....0R

Enhanced 3XMM catalogue (3XMMe), unique sources (original column names in green) (219788 rows)
img(gal)
start AladinLite
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_r
arcsec
RA_ICRS
deg
DE_ICRS
deg
3XMM

Flux8
mW/m2
e_
(...)
FluxM18
mW/m2
e_
(...)
FluxM28
mW/m2
e_
(...)
FluxPN8
mW/m2
e_
(...)
HR1

HR2

HR3

HR4

srcML

Nd

S

V

ext
arcsec
NHtota
cm-2
xcatDBdet

xcatDB

10.34078.25001-16.18820J051300.0-161117 5.57966e-14 2.14434e-15 5.83581e-14 4.13147e-15 5.62438e-14 5.22578e-15 5.44353e-14 2.85979e-15 0.520-0.362-0.803-0.957 2.72522e+03 110 0.000000 5.88e+20xcatDBdetxcatDB
IX/48/xgustwra Allsky cross-matched 3XMMe catalogue (Motch+, 2016)
2016yCat.9048....0M

Allsky cross-matched 3XMMe catalogue (original column names in green) (162475 rows)
img(gal)
start AladinLite
Full

_r
arcsec
uid

dMEC
arcsec
posRA
deg
posDE
deg
ePosA
arcsec
ePosB
arcsec
ePosPA
deg
maxPVal1

maxPLab1

SRCID

RAX
deg
DEX
deg
Flux8
mW/m2
GALEX67

FUVmag
mag
NUVmag
mag
UCAC4

f.mag
mag
a.mag
mag
SDSS9

upmag
mag
gpmag
mag
rpmag
mag
ipmag
mag
zpmag
mag
zsp

2MASS

J2mag
mag
H2mag
mag
K2mag
mag
AllWISE

pmRA
mas/yr
pmDE
mas/yr
W1mag
mag
W2mag
mag
W3mag
mag
W4mag
mag
COMB

FluxC
mJy
NVSS

FIRST

AKARIFIS

S65
Jy
S90
Jy
S140
Jy
S160
Jy
10.34 91897 0.786759 78.250106-16.188267 0.051 0.046179.95 0.77proba_x_utw201433701010005078.25001-16.18820 5.57966e-14      370-00754116.22716.132              05130001-1611177 11.637 11.044 10.736J051300.04-161117.9 157 7 10.559 10.315 10.279 8.838                  
IX/50/xmm3r6s XMM-Newton Serendipitous Source Catalogue 3XMM-DR6 (XMM-SSC, 2016)
2016yCat.9050....0R

The 3XMM-DR6 Catalog, "slim" version (468440 rows)
img(gal)
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_r
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3XMM

RAJ2000
deg
DEJ2000
deg
srcML

Flux8
mW/m2
e_
(...)
HR1

HR2

HR3

HR4

ext
arcsec
V

S

Nd

xcatDBdet

xcatDB

IRAP

10.34J051300.0-161117078.25001-16.18820 2.73e+03 5.5797e-14 2.14e-15 0.520-0.362-0.803-0.957 0.001 1xcatDBdetxcatDBIRAP
IX/54/xmm3r7s XMM-Newton Serendipitous Source Catalogue 3XMM-DR7 (XMM-SSC, 2017)
2019yCat.9054....0R

The 3XMM-DR7 Catalog, "slim" version (499266 rows)
img(gal)
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_r
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3XMM

RA_ICRS
deg
DE_ICRS
deg
srcML

Flux8
mW/m2
e_
(...)
HR1

HR2

HR3

HR4

ext
arcsec
V

S

Nd

xcatDBdet

xcatDB

IRAP

10.342J051300.0-161117078.250011-16.188198 2.72522e+03 5.57966e-14 2.14434e-15 0.520026-0.362352-0.802730-0.957337 0.00000001 1xcatDBdetxcatDBIRAP
IX/55/xmm3r8s XMM-Newton Serendipitous Source Catalogue 3XMM-DR8 (XMM-SSC, 2018)
2019yCat.9055....0R

The 3XMM-DR8 Catalog, "slim" version (531454 rows)
img(gal)
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_r
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3XMM

RA_ICRS
deg
DE_ICRS
deg
srcML

Flux8
mW/m2
e_
(...)
HR1

HR2

HR3

HR4

ext
arcsec
V

S

Nd

xcatDBdet

xcatDB

IRAP

10.342J051300.0-161117078.250011-16.188198 2.72522e+03 5.57966e-14 2.14434e-15 0.520026-0.362352-0.802730-0.957337 0.00000001 1xcatDBdetxcatDBIRAP
IX/59/xmm4dr9s XMM-Newton Serendipitous Source Catalogue 4XMM-DR9 (Webb+, 2020)
The 4XMM-DR9 Catalog, "slim" version (550124 rows)
img(gal)
start AladinLite
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_r
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4XMM

RA_ICRS
deg
DE_ICRS
deg
srcML

Flux8
mW/m2
e_
(...)
HR1

HR2

HR3

HR4

ext
arcsec
V

S

Nd

xcatDBdet

xcatDB

IRAP

10.392J051259.9-161117078.249987-16.188251 2.88995e+03 5.76294e-14 2.23947e-15 0.518558-0.367924-0.800833-0.954846 0.00000001 1xcatDBdetxcatDBIRAP
IX/63/xmm4d10s XMM-Newton Serendipitous Source Catalogue 4XMM-DR10 (Webb+, 2022)
The 4XMM-DR10 Catalog, "slim" version (original column names in green) (575158 rows)
img(gal)
start AladinLite
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_r
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4XMM

RA_ICRS
deg
DE_ICRS
deg
srcML

Flux8
mW/m2
e_
(...)
HR1

HR2

HR3

HR4

ext
arcsec
V

S

Nd

xcatDB

IRAP

10.392J051259.9-161117078.249987-16.188251 2.88995e+03 5.76294e-14 2.23947e-15 0.518558-0.367924-0.800833-0.954846 0.00000001 1xcatDBIRAP
IX/65/xmm4d11s XMM-Newton Serendipitous Source Catalogue 4XMM-DR11 (Webb+, 2022)
The 4XMM-DR11 Catalog, "slim" version (original column names in green) (602543 rows)
img(gal)
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_r
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4XMM

RA_ICRS
deg
DE_ICRS
deg
srcML

Flux8
mW/m2
e_
(...)
HR1

HR2

HR3

HR4

ext
arcsec
V

S

Nd

xcatDB

IRAP

10.392J051259.9-161117078.249987-16.188251 2.88995e+03 5.76294e-14 2.23947e-15 0.518558-0.367924-0.800833-0.954846 0.00000001 1xcatDBIRAP

Note: See also the DENIS home page

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

3rd release of DENIS (2005Sep) (355220325 rows)
img(gal)

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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

10.152 8911078.250094-16.18828213.107 0.0311.648 0.0810.727 0.09     99 99 99J051300.0-161117
B/gemini/obscore The Gemini Observation Log (CADC, 2001-)

Gemini observation logs (original column names in green) (1829590 rows)
img(gal)
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_r
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dataproduct_type

target_name

RAJ2000
deg
DEJ2000
deg
s_fov

t_min
d
t_max
d
access_url

access_format

access_estsize

10.203spectrumJ0513-1611078.250042001084-16.1882499986043 0.0004714045208157718.521840357718.5287847Datalinkapplication/x-votable+xml;content=datalink  
20.203spectrumJ0513-1611078.250042001084-16.1882499986043 0.0004714045208157718.521840357718.5287847Datalinkapplication/x-votable+xml;content=datalink  
30.203spectrumJ0513-1611078.250042001084-16.1882499986043 0.0004714045208157718.521840357718.5287847Datalinkapplication/x-votable+xml;content=datalink  
40.203spectrumJ0513-1611078.250042001084-16.1882499986043 0.0004714045208157719.476909757719.4838542Datalinkapplication/x-votable+xml;content=datalink  
50.203spectrumJ0513-1611078.250042001084-16.1882499986043 0.0004714045208157719.476909757719.4838542Datalinkapplication/x-votable+xml;content=datalink  
60.203spectrumJ0513-1611078.250042001084-16.1882499986043 0.0004714045208157719.476909757719.4838542Datalinkapplication/x-votable+xml;content=datalink  
J/ApJ/798/73/table2 BANYAN All-Sky Survey (BASS) catalog. V. Nearby YMGs (Gagne+, 2015)
BASS catalog resulting from an all-sky search for >M5 candidates in Young Moving Groups (YMGs) (275 rows)
img(gal)
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_r
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Sam

All

2MASS

SpT

Jmag
mag
Hmag
mag
Ksmag
mag
f_

W1mag
mag
W2mag
mag
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
YMG

f_

Pmb
%
l_

Pfc
%
_RA
deg
_DE
deg
10.20H305130001-1611177M4.311.6411.0410.74  10.5610.31 39.7 5.9 -19.3 6.8COL  88.8  12.5078.25004-16.18825
J/ApJ/798/73/table5 BANYAN All-Sky Survey (BASS) catalog. V. Nearby YMGs (Gagne+, 2015)
The updated BASS sample (274 rows)
img(gal)
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Sam

All

2MASS

SpT

f_

YMG

l_

Pmb
%
l_

Pfc
%
Mass
Mjup
E_
Mjup
e_
Mjup
Dist
pc
E_
pc
e_
pc
RVel
km/s
e_
km/s
_RA
deg
_DE
deg
10.20H305130001-1611177M4.3pCOL  88.8  12.5 137.218.818.153.0 6.4 5.6 22.2 1.7078.25004-16.18825
J/ApJ/798/73/table6 BANYAN All-Sky Survey (BASS) catalog. V. Nearby YMGs (Gagne+, 2015)
All-Sky input sample of nearby, potential >M5 objects (98970 rows)
img(gal)
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_r
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All

2MASS

Jmag
mag
e_
mag
Hmag
mag
e_
mag
Ksmag
mag
e_
mag
AllWISE

W1mag
mag
W2mag
mag
pmRA
mas/yr
e_
(...)
pmDE
mas/yr
e_
(...)
_RA
deg
_DE
deg
10.20305130001-161117711.64 0.0211.04 0.0210.74 0.02051300.04-161117.910.5610.31 39.7 5.9 -19.3 6.8078.25004-16.18825
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
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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
10.838GaiaDR2078.25031395-16.18834927 21.00 45.22 -29.1414.90916.63313.5594018 0.4586 0.22599.999.999.916.78015.78514.17013.361      
J/ApJ/891/58/table6 TIC star exposure times for JWST, LUVOIR and OST (Suissa+, 2020)
Exposure times calculated in this work (61513 rows)
img(gal)
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_r
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TIC

2MASS

Vmag
mag
Teff
K
Rad
Rsun
LumCl

Dist
pc
f_TIC

jwst2.7-0ppm
h
jwst1.4-0ppm
h
jwst1.8-0ppm
h
ost6.0-0ppm
h
luva1.4-0ppm
h
luva1.8-0ppm
h
luvb1.4-0ppm
h
luvb1.8-0ppm
h
_RA
deg
_DE
deg
10.2016953464405130001-161117716.81903148.00 0.27210DWARF 99.99990TRML 45005.44298000 228788.75070000 199593.46500000 85696.44813000 43130.07203000 37973.84136000 152625.53570000 134386.69950000078.25004-16.18825
J/A+A/608/A148/origaia Stellar populations towards Orion with Gaia DR1 (Zari+, 2017)
Gaia DR1 sources in the Orion field (9926756 rows)
img(gal)
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_r
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Source

RA_ICRS
deg
DE_ICRS
deg
GLON
deg
GLAT
deg
<Gmag>
mag
<FG>
e-/s
e_
e-/s
pmRA
mas/yr
pmDE
mas/yr
Plx
mas
e_pmRA
(...)
e_pmDE
mas/yr
e_Plx
mas
_RA.icrs
deg
_DE.icrs
deg
10.8052983174332640394880078.2503064701-16.1883431524217.2397306782-28.884538929014.685 2.1672e+04 8.2484e+01            078.2503064701-16.1883431524
J/A+A/608/A148/x2mass Stellar populations towards Orion with Gaia DR1 (Zari+, 2017)
Gaia DR1 sources cross-matched with the 2MASS catalogue, with separation < 1" (5059068 rows)
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_r
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Source

GLON
deg
GLAT
deg
<Gmag>
mag
e_
e-/s
<FG>
e-/s
Jmag
mag
e_
mag
Hmag
mag
e_
mag
Ksmag
mag
e_
mag
Qual

_RA.icrs
deg
_DE.icrs
deg
10.8142983174332640394880217.2397306782-28.884538929014.685 8.2484e+01 2.1672e+0411.637 0.02111.044 0.021 10.736 0.021AAA078.2503084353-16.1883451831
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
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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
10.8382983174336936702592078.250313954618704315-16.188349274183799764 21.007212465119899 45.2284060125830009724 -29.1467431311636993029914.908924000000000716.632619999999999313.5592939999999995  47.6026984379953007      078.250111181452098208-16.188223781165898885
J/A+A/649/A6/table1c Gaia Catalogue of Nearby Stars - GCNS (Gaia collaboration, 2021)
Selected objects (331312 rows)
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_r
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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
10.8682983174336936702592078.2503219-16.1883527 21.532 47.971 -25.344 14.9889 16.6782 13.5477   0.04650 -32.41396 -24.63899 -22.46177       16.780 15.785 14.170 13.360 11.637 11.044 10.736     10.279 8.838GAIAEDR3Cat078.2500999-16.1882401
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)
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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
10.8681  29831743369367025922MASS J05130001-1611177078.25032188635-16.18835269678G15.370  14.988910.736 21.532   47.971 -25.344 0.24 0.27 0            
J/A+A/657/A138/table7 Classification of Swift and XMM-Newton sources (Tranin+, 2022)
Classification of 4XMM-DR10 sources (482771 rows)
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_r
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4XMM

RAJ2000
deg
DEJ2000
deg
pmGAIA
mas/yr
LXGAIA
10-7W
RAGdeg
deg
DEGdeg
deg
DistGLADE
Mpc
LXGLADE
10-7W
logFX/Fb
[-]
logFX/Fr
[-]
logFX/FW1
[-]
logFX/FW2
[-]
10.424XMM J051259.9-161117078.24998-16.18825 54.254 1.48e+28        -1.20-2.45-2.03-2.03
J/AJ/153/95/table3 Catalog of Suspected Nearby Young Stars (Riedel+, 2017)
Catalog of Suspected Nearby Young Stars (5350 rows)
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RAJ2000
"h:m:s"
DEJ2000
"d:m:s"
NObj

Per

Name

JD
d
plxmean
mas
HRVmean
km/s
Dist
pc
pmRA
mas/yr
pmDE
mas/yr
FUV
mag
umag
mag
Bmag
mag
Jmag
mag
W1mag
mag
logFX
[10-7W]
10.07005 13 00.021-16 11 17.72    2MASS J05130001-16111772451163.6802 17.55     39.70 -19.30      11.63710.560  
J/AJ/156/241/table4 A first catalog of variable stars measured by ATLAS (Heinze+, 2018)
*ATLAS catalog of candidate variable stars (4817370 rows) (Note)
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ATOID

RAJ2000
deg
DEJ2000
deg
fp-lngfitper
d
fp-lngmin-c
mag
fp-lngmax-c
mag
fp-lngmin-o
mag
fp-lngmax-o
mag
fp-period
d
fp-min-o
mag
fp-max-o
mag
df-meanPvar

ls-c-med
mag
ls-o-med
mag
ls-Pday
d
Class

10.81J078.2503-16.1883078.25031-16.18834 281.693237 15.33423314.478359 14.56568914.232865       0.014.67414.396 7.575839dubious
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
10.8382983174336936702592078.25031395462-16.188349274184855 644
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
10.8382983174336936702592078.25031395462-16.18834927418 1.92e+00 0.375900
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)
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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
10.838298317433693670259214.90890016.63260013.559300078.25031395462-16.18834927418 21.0072 45.228 -29.14799.0                  05130001-161117711.63711.04410.736 78.250074-16.188250 0.9995373 0.1553066J051300.04-161117.910.55910.31510.279 8.838 78.2502060-16.1883117 0.9999608 0.1349607 99             8857078250247433616.780215.785014.170513.360012.9669 78.250297480-16.188341030 0.9997745 0.011020099.0            078.25011118327-16.18822378006
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)
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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
10.838298317433693670259214.908900078.25031395462-16.1883492741805130001-161117711.637 0.02111.044 0.02110.736 0.021 78.250074-16.188250 0.9995373 0.1553066078.25031395462-16.18834927418
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)
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_r
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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
10.838298317433693670259214.908900078.25031395462-16.18834927418J051300.04-161117.910.559 0.02310.315 0.02010.279 0.082 8.838   78.2502060-16.1883117 0.9999608 0.1349607078.25031395462-16.18834927418
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