VizieR

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

VizieR

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

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

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

The Full Catalogue (526280881 rows) (Note)
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RAJ2000
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DEJ2000
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ACTflag

Mflag

Bmag
mag
Rmag
mag
Epoch
yr
12.3830300-09224338154.387248-53.575937    15.413.71980.239

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

10.289S111123258385154.386422-53.5762571997.10713.31 0.42    0 4.23 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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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
11.6740364-0204018154.386962-53.5760377741151988.1 0 02  12.92  12.94  
22.7020364-0204022154.387470-53.576006 84 201980.2 0 03  13.0315.19  12.46

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

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

RAJ2000
deg
DEJ2000
deg
r

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

Vmag
mag
r_

Rmag
mag
r_

Jmag
mag
Hmag
mag
Kmag
mag
R

11.6740364-0217370.M154.3869611-53.5760361B 0.0 0.0 0.0 0.0        12.940B11.66711.01010.852  
22.7010364-0217374..154.3874694-53.5760056B 0.0 0.0 0.0 0.015.190B    13.030e        

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

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

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DEJ2000
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Epoch
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Fmag
mag
jmag
mag
Vmag
mag
Nmag
mag
Class

a
pix
e

10.292S48E058385154.386423-53.5762561997.10713.3115.6013.9212.740 4.23 0.04
I/317/sample The PPMXL Catalog (Roeser+ 2010)
PPMXL catalog of positions and proper motions on the ICRS (910469430 rows)
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deg
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pmDE
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Jmag
mag
Kmag
mag
b1mag
mag
b2mag
mag
r1mag
mag
r2mag
mag
imag
mag
No

fl

10.030154.386300-53.576270 -80.6 -51.411.66810.853    12.9212.94   3 0
I/319/xpm XPM Catalog of positions and proper motions (Fedorov+ 2011)
XPM catalogue (original column names in green) (313610083 rows)
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RAICRS
deg
DEICRS
deg
pmRAp
mas/yr
pmDEp
mas/yr
pmRAx
mas/yr
pmDEx
mas/yr
Fmag
mag
Bjmag
mag
Vmag
mag
Nmag
mag
Jmag
mag
e_
mag
Hmag
mag
e_
mag
Kmag
mag
e_
mag
2Mkey

Bmag
mag
Rmag
mag
Fld

dT
yr
fg

fs

M

10.086XPM 072-0421829154.386330-53.576282 -121.63 -47.21 -121.52 -47.1613.30715.59913.92112.73711.668 0.02211.011 0.02110.853 0.021120909131715.413.7 16820.86713000M

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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RAJ2000
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e_
mas
DEJ2000
deg
e_
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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

10.0791771940450154.3862663 20.1-53.5762930 20.1 -117.11 2.29 -47.23 2.342004.83 2 0 215.3414.2211.66811.01110.8532M0A

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

10.032183-052553154.3862759-53.5762764 2813.7220 0 -116.2 -48.911.66810.85315.31714.13213.59713.075000000001

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_
(...)
10.032154.386276-53.576276 0.016 0.02015.599 0.30013.307 0.30013.415 0.40011.792 0.5001983.89001983.8900 -116.2 2.8 -48.9 2.8
I/337/gaia Gaia DR1 (Gaia Collaboration, 2016)
Sample of GaiaSource data (Download Gaia Sources as vo table, fits or csv here) (original column names in green) (1142679769 rows)
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RA_ICRS
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e_
mas
DE_ICRS
deg
e_
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Source

Plx
mas
pmRA
mas/yr
pmDE
mas/yr
RADEcor

Dup

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

11.828154.3855008508 0.166-53.5764708707 0.1625355858749654829312      -0.4060 6.7528e+04 2.8671e+0113.451NOT_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
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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

10.087154.3862529033-53.57626752216110416243724603595   -107.167 -48.80411.66811.01110.853    12.9212.94  535585874965482931213.451    
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_
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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
11.889154.38547445511 0.0204-53.57647728980 0.01935355858753975763840 6.1435 0.0234 -112.573 0.040 -46.644 0.035   6.8711e+04 1.9045e+0113.59580.0003 2.4733e+04 3.9353e+0114.36820.0017 6.3810e+04 3.9340e+0112.74970.0007 1.6185    4365.99 0.2707 0.1433 0.55 0.098
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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RA_ICRS
deg
DE_ICRS
deg
rest
pc
b_
pc
B_
pc
rlen
pc
ResFlag

ModFlag

11.8895355858753975763840154.38547445511-53.57647728980 162.012798787692986 161.395769655893986 162.6344794080470141113.4222276338811
I/349/starhorse StarHorse, Gaia DR2 photo-astrometric distances (Anders+, 2019)
Starhorse catalog (265637087 rows)
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RA_ICRS
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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

11.889154.3854744551-53.57647728985355858753975763840 0.161525 0.078958 0.065272 4187.35 4.659749-0.028406 0.649800 0.082043 0.048028 1.584495 7.465018 -8.168584 -0.158260 0.018559 8.170116 1.056284
I/350/gaiaedr3 Gaia EDR3 (Gaia Collaboration, 2020)
Gaia data early release 3 (Gaia EDR3). (Download all Gaia Sources as VOTable, FITS or CSV here. Query from the command line using find_gaia_edr3 available in cdsclient here)

(original column names in green) (1811709771 rows)

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RA_ICRS
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e_
mas
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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
11.950154.38544810281 0.0118-53.57648376648 0.01205355858753975763840 6.1260 0.0142 121.864 -112.585 0.016 -46.640 0.014 0.997 6.9421e+04 1.0767e+0113.583632 0.002760 2.5066e+04 1.7078e+0114.340811 0.002887 6.3928e+04 1.9740e+0112.733667 0.003794 1.607143            427636703  13.583632 0.002760 6.9421e+04154.38629084468-53.57627647668
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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DE_ICRS
deg
rgeo
pc
b_
pc
B_
pc
rpgeo
pc
b_
pc
B_
pc
Flag

11.9505355858753975763840154.38544810281-53.57648376648 162.39944500 161.99235500 162.76599100 162.40856900 162.10763500 162.7504730010033
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
10.304S48E058385154.38642883301-53.57625579834 21111232583851997.1100    15.59980013.307000  12.737700                   11.668 11.011 10.853                 4.228 0.040 30.5
21.889S48E116003154.38547445511-53.57647728980 211112321160032015.500013.595800                  14.38613.63613.11012.994            10.81810.86210.940 9.171          
I/354/starhorse2021 StarHorse2, Gaia EDR3 photo-astrometric distances (Anders+, 2022)
2022yCat.1354....0A

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

XGal
kpc
YGal
kpc
ZGal
kpc
RGal
kpc
BP/RPCorr

AG50
mag
ABP50
mag
ARP50
mag
GMAG0
mag
BP-RP0
mag
11.9505355858753975763840154.3854481028-53.5764837665 0.637000 4384.95 4.703000-0.298117 0.161812 0.294723 1.000000 -8.168528 -0.158541 0.007572 8.170067 -0.0013051033 0.243484 0.303450 0.178205 7.295095 1.481898
I/355/gaiadr3 Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)
2022yCat.1355....0G

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

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

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

Gal

NSS

XPcont

XPsamp

RVS

EpochPh

EpochRV

MCMCGSP

MCMCMSC

And

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

PS1

SDSS13

SKYM2

TYC2

URAT1

AllWISE

APASS9

GSC23

RAVE5

2MASS

RAVE6

RAJ2000
deg
DEJ2000
deg
11.950154.38544810281-53.576483766485355858753975763840 0.0118 0.0120 6.1260 0.0142 121.864 -112.585 0.016 -46.640 0.014 0.997 69421.43904 1.0767e+0113.583632 2.5066e+04 1.7078e+0114.340811 6.3928e+04 1.9740e+0112.733667 1.607143 46.55 1.94  12.36267900011000110 4221.8 4.5956-0.1824 162.7309 0.2908      427636703    J101732.58-533435.041171917S48E058385  10173269-5334346  154.38629084862-53.57627647571
I/355/paramp Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)
2022yCat.1355....0G

1D astrophysical parameters produced by the Apsis processing chain developed in Gaia DPAC CU8 (1590932717 sources) (astrophysical_parameters) (original column names in green) (1590932717 rows)
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RA_ICRS
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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
11.9505355858753975763840154.38544810281-53.57648376648 0.00000000 0.00000000 0.00000100 0.00000000 0.99999899 4221.8315 4.5956-0.1824 162.7309 0.2908 0.2146 0.2838 0.1692 0.1146 7.3112 0.6580 0.6577 1.237e-01     0.60286552
I/355/paramsup Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)
2022yCat.1355....0G

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

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

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

z-Flame
km/s
BolCorr
mag
11.9505355858753975763840154.38544810281-53.5764837664816361480689213767684221.8315 4.5956-0.1824 162.7309 0.2908 0.2146 0.2838 0.1692 0.1146 7.3112 0.6580-2.885039e+03                
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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RA_ICRS
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SolID

NBPbases

BPrelsh

NBP

NBPrej

BPstddev
e-/s/pix
BPchi2r

NTransBP

NcTransBP

NbTransBP

NRPbases

NRPrelsh

NRP

NRPrej

RPstdev
e-/s/pix
RPchi2r

NTransRP

NcTransRP

NbTransRP

11.9505355858753975763840154.38544810281-53.57648376648454546903015620608119 0.9999981888 83 1.024692 1.92464e+03 34 0 113 0.999999 3142 50 1.022527 3.22765e+03 55 0 1
I/355/xpsample Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)
2022yCat.1355....0G

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

_r
arcsec
Source

RA_ICRS
deg
DE_ICRS
deg
lambda

Flux
W/m2/nm
e_
(...)
11.9505355858753975763840154.38544810281-53.57648376648 336 2.0241960e-17 5.6385788e-18
21.9505355858753975763840154.38544810281-53.57648376648 338 1.7126492e-17 4.1141180e-18
31.9505355858753975763840154.38544810281-53.57648376648 340 1.7669809e-17 3.3357092e-18
41.9505355858753975763840154.38544810281-53.57648376648 342 1.7252810e-17 2.8656816e-18
51.9505355858753975763840154.38544810281-53.57648376648 344 1.5630971e-17 2.6762244e-18
61.9505355858753975763840154.38544810281-53.57648376648 346 1.4801165e-17 2.6311724e-18
71.9505355858753975763840154.38544810281-53.57648376648 348 1.5542173e-17 2.7433325e-18
81.9505355858753975763840154.38544810281-53.57648376648 350 1.7075729e-17 2.9094440e-18
91.9505355858753975763840154.38544810281-53.57648376648 352 2.0241469e-17 3.2163677e-18
101.9505355858753975763840154.38544810281-53.57648376648 354 2.4170338e-17 3.3924828e-18
111.9505355858753975763840154.38544810281-53.57648376648 356 2.2613679e-17 3.2668342e-18
121.9505355858753975763840154.38544810281-53.57648376648 358 1.5377714e-17 2.8786411e-18
131.9505355858753975763840154.38544810281-53.57648376648 360 1.0333988e-17 2.6875243e-18
141.9505355858753975763840154.38544810281-53.57648376648 362 1.1668290e-17 2.6428206e-18
151.9505355858753975763840154.38544810281-53.57648376648 364 1.6807021e-17 2.6388046e-18
161.9505355858753975763840154.38544810281-53.57648376648 366 1.9239832e-17 2.8130841e-18
171.9505355858753975763840154.38544810281-53.57648376648 368 1.6245616e-17 2.9050717e-18
181.9505355858753975763840154.38544810281-53.57648376648 370 1.1893223e-17 3.1650614e-18
191.9505355858753975763840154.38544810281-53.57648376648 372 1.1079523e-17 3.1606931e-18
201.9505355858753975763840154.38544810281-53.57648376648 374 1.2914126e-17 3.5205849e-18
211.9505355858753975763840154.38544810281-53.57648376648 376 1.3749008e-17 3.5773291e-18
221.9505355858753975763840154.38544810281-53.57648376648 378 1.3457542e-17 3.8191090e-18
231.9505355858753975763840154.38544810281-53.57648376648 380 1.4105840e-17 4.1332040e-18
241.9505355858753975763840154.38544810281-53.57648376648 382 1.4797780e-17 3.8186801e-18
251.9505355858753975763840154.38544810281-53.57648376648 384 1.2446521e-17 4.0534075e-18
261.9505355858753975763840154.38544810281-53.57648376648 386 7.7430400e-18 3.5831537e-18
271.9505355858753975763840154.38544810281-53.57648376648 388 5.4177741e-18 3.2081129e-18
281.9505355858753975763840154.38544810281-53.57648376648 390 7.6639897e-18 3.1526715e-18
291.9505355858753975763840154.38544810281-53.57648376648 392 1.1642928e-17 2.5214688e-18
301.9505355858753975763840154.38544810281-53.57648376648 394 1.3583704e-17 2.4255266e-18
311.9505355858753975763840154.38544810281-53.57648376648 396 1.3037372e-17 2.3826859e-18
321.9505355858753975763840154.38544810281-53.57648376648 398 1.2756152e-17 1.9778877e-18
331.9505355858753975763840154.38544810281-53.57648376648 400 1.5477213e-17 2.0448395e-18
341.9505355858753975763840154.38544810281-53.57648376648 402 2.1315849e-17 2.0654075e-18
351.9505355858753975763840154.38544810281-53.57648376648 404 2.7561825e-17 1.7940394e-18
361.9505355858753975763840154.38544810281-53.57648376648 406 3.1380069e-17 1.8833505e-18
371.9505355858753975763840154.38544810281-53.57648376648 408 3.1953560e-17 1.9482140e-18
381.9505355858753975763840154.38544810281-53.57648376648 410 3.0744308e-17 1.7325368e-18
391.9505355858753975763840154.38544810281-53.57648376648 412 2.9925181e-17 1.7715045e-18
401.9505355858753975763840154.38544810281-53.57648376648 414 3.0591075e-17 1.8946307e-18
411.9505355858753975763840154.38544810281-53.57648376648 416 3.1754425e-17 1.7336595e-18
421.9505355858753975763840154.38544810281-53.57648376648 418 3.1767762e-17 1.6768280e-18
431.9505355858753975763840154.38544810281-53.57648376648 420 2.9781119e-17 1.8311750e-18
441.9505355858753975763840154.38544810281-53.57648376648 422 2.6593329e-17 1.7800548e-18
451.9505355858753975763840154.38544810281-53.57648376648 424 2.4168222e-17 1.6404179e-18
461.9505355858753975763840154.38544810281-53.57648376648 426 2.4274411e-17 1.7378771e-18
471.9505355858753975763840154.38544810281-53.57648376648 428 2.7191212e-17 1.8112945e-18
481.9505355858753975763840154.38544810281-53.57648376648 430 3.1847651e-17 1.6827064e-18
491.9505355858753975763840154.38544810281-53.57648376648 432 3.6456695e-17 1.6255081e-18
501.9505355858753975763840154.38544810281-53.57648376648 434 3.9675301e-17 1.7420800e-18
511.9505355858753975763840154.38544810281-53.57648376648 436 4.1411884e-17 1.7622944e-18
521.9505355858753975763840154.38544810281-53.57648376648 438 4.2567760e-17 1.6492287e-18
531.9505355858753975763840154.38544810281-53.57648376648 440 4.4126171e-17 1.6195847e-18
541.9505355858753975763840154.38544810281-53.57648376648 442 4.6836783e-17 1.6955419e-18
551.9505355858753975763840154.38544810281-53.57648376648 444 5.0677935e-17 1.6894429e-18
561.9505355858753975763840154.38544810281-53.57648376648 446 5.5059375e-17 1.5948115e-18
571.9505355858753975763840154.38544810281-53.57648376648 448 5.9205399e-17 1.5654764e-18
581.9505355858753975763840154.38544810281-53.57648376648 450 6.2572799e-17 1.6163365e-18
591.9505355858753975763840154.38544810281-53.57648376648 452 6.5137886e-17 1.6184948e-18
601.9505355858753975763840154.38544810281-53.57648376648 454 6.7209285e-17 1.5463358e-18
611.9505355858753975763840154.38544810281-53.57648376648 456 6.9109266e-17 1.4970263e-18
621.9505355858753975763840154.38544810281-53.57648376648 458 7.1159655e-17 1.5160726e-18
631.9505355858753975763840154.38544810281-53.57648376648 460 7.3137550e-17 1.5266736e-18
641.9505355858753975763840154.38544810281-53.57648376648 462 7.4809844e-17 1.4831031e-18
651.9505355858753975763840154.38544810281-53.57648376648 464 7.5786208e-17 1.4282208e-18
661.9505355858753975763840154.38544810281-53.57648376648 466 7.5699096e-17 1.4101740e-18
671.9505355858753975763840154.38544810281-53.57648376648 468 7.4825163e-17 1.4128283e-18
681.9505355858753975763840154.38544810281-53.57648376648 470 7.3160519e-17 1.3862535e-18
691.9505355858753975763840154.38544810281-53.57648376648 472 7.1234789e-17 1.3360576e-18
701.9505355858753975763840154.38544810281-53.57648376648 474 6.9457747e-17 1.3003578e-18
711.9505355858753975763840154.38544810281-53.57648376648 476 6.8057463e-17 1.2900434e-18
721.9505355858753975763840154.38544810281-53.57648376648 478 6.7139531e-17 1.2778843e-18
731.9505355858753975763840154.38544810281-53.57648376648 480 6.6798646e-17 1.2465815e-18
741.9505355858753975763840154.38544810281-53.57648376648 482 6.6683503e-17 1.2058493e-18
751.9505355858753975763840154.38544810281-53.57648376648 484 6.6843493e-17 1.1833922e-18
761.9505355858753975763840154.38544810281-53.57648376648 486 6.6891026e-17 1.1743576e-18
771.9505355858753975763840154.38544810281-53.57648376648 488 6.6875303e-17 1.1607702e-18
781.9505355858753975763840154.38544810281-53.57648376648 490 6.6690497e-17 1.1322893e-18
791.9505355858753975763840154.38544810281-53.57648376648 492 6.6261958e-17 1.1017759e-18
801.9505355858753975763840154.38544810281-53.57648376648 494 6.5350888e-17 1.0835815e-18
811.9505355858753975763840154.38544810281-53.57648376648 496 6.3887678e-17 1.0762204e-18
821.9505355858753975763840154.38544810281-53.57648376648 498 6.1914098e-17 1.0648108e-18
831.9505355858753975763840154.38544810281-53.57648376648 500 5.9405676e-17 1.0404266e-18
841.9505355858753975763840154.38544810281-53.57648376648 502 5.6252907e-17 1.0101690e-18
851.9505355858753975763840154.38544810281-53.57648376648 504 5.2974645e-17 9.9709095e-19
861.9505355858753975763840154.38544810281-53.57648376648 506 4.9760969e-17 1.0010738e-18
871.9505355858753975763840154.38544810281-53.57648376648 508 4.7084864e-17 1.0059401e-18
881.9505355858753975763840154.38544810281-53.57648376648 510 4.5380558e-17 9.9407754e-19
891.9505355858753975763840154.38544810281-53.57648376648 512 4.4913452e-17 9.6400580e-19
901.9505355858753975763840154.38544810281-53.57648376648 514 4.5897384e-17 9.3597089e-19
911.9505355858753975763840154.38544810281-53.57648376648 516 4.8324953e-17 9.3189155e-19
921.9505355858753975763840154.38544810281-53.57648376648 518 5.1984506e-17 9.5314140e-19
931.9505355858753975763840154.38544810281-53.57648376648 520 5.6422122e-17 9.7675358e-19
941.9505355858753975763840154.38544810281-53.57648376648 522 6.1375346e-17 9.8203420e-19
951.9505355858753975763840154.38544810281-53.57648376648 524 6.6340315e-17 9.6011681e-19
961.9505355858753975763840154.38544810281-53.57648376648 526 7.0809963e-17 9.2279556e-19
971.9505355858753975763840154.38544810281-53.57648376648 528 7.4573085e-17 8.9756014e-19
981.9505355858753975763840154.38544810281-53.57648376648 530 7.7466318e-17 9.0389076e-19
991.9505355858753975763840154.38544810281-53.57648376648 532 7.9274972e-17 9.3516573e-19
1001.9505355858753975763840154.38544810281-53.57648376648 534 8.0258086e-17 9.6951772e-19
1011.9505355858753975763840154.38544810281-53.57648376648 536 8.0766517e-17 9.8548985e-19
1021.9505355858753975763840154.38544810281-53.57648376648 538 8.0895412e-17 9.7181449e-19
1031.9505355858753975763840154.38544810281-53.57648376648 540 8.0853748e-17 9.3533913e-19
1041.9505355858753975763840154.38544810281-53.57648376648 542 8.1040148e-17 8.9760449e-19
1051.9505355858753975763840154.38544810281-53.57648376648 544 8.1633270e-17 8.7915744e-19
1061.9505355858753975763840154.38544810281-53.57648376648 546 8.2425133e-17 8.8475652e-19
1071.9505355858753975763840154.38544810281-53.57648376648 548 8.3639573e-17 9.0720951e-19
1081.9505355858753975763840154.38544810281-53.57648376648 550 8.5208153e-17 9.2840539e-19
1091.9505355858753975763840154.38544810281-53.57648376648 552 8.7059390e-17 9.3454535e-19
1101.9505355858753975763840154.38544810281-53.57648376648 554 8.8744396e-17 9.1819137e-19
1111.9505355858753975763840154.38544810281-53.57648376648 556 9.0547332e-17 8.9002866e-19
1121.9505355858753975763840154.38544810281-53.57648376648 558 9.2179565e-17 8.6102652e-19
1131.9505355858753975763840154.38544810281-53.57648376648 560 9.3510843e-17 8.4368157e-19
1141.9505355858753975763840154.38544810281-53.57648376648 562 9.4595336e-17 8.4465801e-19
1151.9505355858753975763840154.38544810281-53.57648376648 564 9.5482834e-17 8.5992807e-19
1161.9505355858753975763840154.38544810281-53.57648376648 566 9.6256361e-17 8.7892521e-19
1171.9505355858753975763840154.38544810281-53.57648376648 568 9.6885587e-17 8.8994470e-19
1181.9505355858753975763840154.38544810281-53.57648376648 570 9.7667167e-17 8.8899416e-19
1191.9505355858753975763840154.38544810281-53.57648376648 572 9.8581824e-17 8.7550812e-19
1201.9505355858753975763840154.38544810281-53.57648376648 574 9.9204479e-17 8.5104255e-19
1211.9505355858753975763840154.38544810281-53.57648376648 576 9.9695328e-17 8.2560308e-19
1221.9505355858753975763840154.38544810281-53.57648376648 578 9.9820735e-17 8.0494455e-19
1231.9505355858753975763840154.38544810281-53.57648376648 580 9.9861022e-17 7.9438430e-19
1241.9505355858753975763840154.38544810281-53.57648376648 582 9.9604014e-17 7.8952203e-19
1251.9505355858753975763840154.38544810281-53.57648376648 584 9.9012229e-17 7.8401073e-19
1261.9505355858753975763840154.38544810281-53.57648376648 586 9.8682283e-17 7.7672446e-19
1271.9505355858753975763840154.38544810281-53.57648376648 588 9.8401062e-17 7.6273202e-19
1281.9505355858753975763840154.38544810281-53.57648376648 590 9.8400181e-17 7.4382940e-19
1291.9505355858753975763840154.38544810281-53.57648376648 592 9.8928478e-17 7.2449860e-19
1301.9505355858753975763840154.38544810281-53.57648376648 594 9.9263162e-17 7.0371718e-19
1311.9505355858753975763840154.38544810281-53.57648376648 596 9.9707564e-17 6.8835918e-19
1321.9505355858753975763840154.38544810281-53.57648376648 598 1.0056935e-16 6.8368235e-19
1331.9505355858753975763840154.38544810281-53.57648376648 600 1.0153944e-16 6.8816221e-19
1341.9505355858753975763840154.38544810281-53.57648376648 602 1.0251631e-16 6.9902769e-19
1351.9505355858753975763840154.38544810281-53.57648376648 604 1.0320595e-16 7.1031312e-19
1361.9505355858753975763840154.38544810281-53.57648376648 606 1.0372651e-16 7.1845134e-19
1371.9505355858753975763840154.38544810281-53.57648376648 608 1.0395907e-16 7.1922589e-19
1381.9505355858753975763840154.38544810281-53.57648376648 610 1.0404752e-16 7.1203749e-19
1391.9505355858753975763840154.38544810281-53.57648376648 612 1.0406219e-16 6.9774737e-19
1401.9505355858753975763840154.38544810281-53.57648376648 614 1.0398647e-16 6.7826127e-19
1411.9505355858753975763840154.38544810281-53.57648376648 616 1.0383896e-16 6.5667377e-19
1421.9505355858753975763840154.38544810281-53.57648376648 618 1.0382101e-16 6.3724087e-19
1431.9505355858753975763840154.38544810281-53.57648376648 620 1.0348489e-16 6.1940039e-19
1441.9505355858753975763840154.38544810281-53.57648376648 622 1.0347443e-16 6.0791049e-19
1451.9505355858753975763840154.38544810281-53.57648376648 624 1.0414577e-16 6.0427436e-19
1461.9505355858753975763840154.38544810281-53.57648376648 626 1.0481829e-16 6.0315255e-19
1471.9505355858753975763840154.38544810281-53.57648376648 628 1.0566510e-16 6.0399746e-19
1481.9505355858753975763840154.38544810281-53.57648376648 630 1.0662588e-16 6.0518131e-19
1491.9505355858753975763840154.38544810281-53.57648376648 632 1.0738856e-16 6.0425239e-19
1501.9505355858753975763840154.38544810281-53.57648376648 634 1.0822977e-16 6.0278445e-19
1511.9505355858753975763840154.38544810281-53.57648376648 636 1.0848805e-16 5.4031117e-19
1521.9505355858753975763840154.38544810281-53.57648376648 638 1.0855435e-16 5.3290801e-19
1531.9505355858753975763840154.38544810281-53.57648376648 640 1.0864315e-16 6.8945390e-19
1541.9505355858753975763840154.38544810281-53.57648376648 642 1.0893423e-16 9.9992177e-19
1551.9505355858753975763840154.38544810281-53.57648376648 644 1.0647605e-16 1.1853863e-18
1561.9505355858753975763840154.38544810281-53.57648376648 646 1.0404213e-16 1.1737294e-18
1571.9505355858753975763840154.38544810281-53.57648376648 648 1.0417926e-16 1.1787747e-18
1581.9505355858753975763840154.38544810281-53.57648376648 650 1.0684945e-16 1.1888980e-18
1591.9505355858753975763840154.38544810281-53.57648376648 652 1.1019834e-16 1.1662376e-18
1601.9505355858753975763840154.38544810281-53.57648376648 654 1.1248871e-16 1.1584821e-18
1611.9505355858753975763840154.38544810281-53.57648376648 656 1.1280635e-16 1.1769295e-18
1621.9505355858753975763840154.38544810281-53.57648376648 658 1.1153729e-16 1.1608889e-18
1631.9505355858753975763840154.38544810281-53.57648376648 660 1.0984390e-16 1.1293215e-18
1641.9505355858753975763840154.38544810281-53.57648376648 662 1.0864318e-16 1.1391169e-18
1651.9505355858753975763840154.38544810281-53.57648376648 664 1.0821122e-16 1.1398391e-18
1661.9505355858753975763840154.38544810281-53.57648376648 666 1.0818444e-16 1.0923630e-18
1671.9505355858753975763840154.38544810281-53.57648376648 668 1.0831382e-16 1.0757591e-18
1681.9505355858753975763840154.38544810281-53.57648376648 670 1.0820048e-16 1.1030107e-18
1691.9505355858753975763840154.38544810281-53.57648376648 672 1.0741420e-16 1.0786943e-18
1701.9505355858753975763840154.38544810281-53.57648376648 674 1.0596865e-16 1.0211118e-18
1711.9505355858753975763840154.38544810281-53.57648376648 676 1.0444851e-16 1.0371498e-18
1721.9505355858753975763840154.38544810281-53.57648376648 678 1.0265173e-16 1.0694404e-18
1731.9505355858753975763840154.38544810281-53.57648376648 680 1.0096310e-16 1.0231309e-18
1741.9505355858753975763840154.38544810281-53.57648376648 682 9.9722354e-17 9.7790285e-19
1751.9505355858753975763840154.38544810281-53.57648376648 684 9.9065870e-17 1.0238582e-18
1761.9505355858753975763840154.38544810281-53.57648376648 686 9.9275980e-17 1.0498064e-18
1771.9505355858753975763840154.38544810281-53.57648376648 688 1.0047265e-16 9.8510418e-19
1781.9505355858753975763840154.38544810281-53.57648376648 690 1.0233452e-16 9.5372219e-19
1791.9505355858753975763840154.38544810281-53.57648376648 692 1.0424107e-16 1.0149570e-18
1801.9505355858753975763840154.38544810281-53.57648376648 694 1.0613616e-16 1.0297692e-18
1811.9505355858753975763840154.38544810281-53.57648376648 696 1.0727221e-16 9.5464853e-19
1821.9505355858753975763840154.38544810281-53.57648376648 698 1.0768884e-16 9.3491541e-19
1831.9505355858753975763840154.38544810281-53.57648376648 700 1.0752224e-16 9.9986718e-19
1841.9505355858753975763840154.38544810281-53.57648376648 702 1.0751099e-16 1.0027040e-18
1851.9505355858753975763840154.38544810281-53.57648376648 704 1.0734860e-16 9.2320325e-19
1861.9505355858753975763840154.38544810281-53.57648376648 706 1.0738889e-16 9.1375892e-19
1871.9505355858753975763840154.38544810281-53.57648376648 708 1.0758617e-16 9.8387488e-19
1881.9505355858753975763840154.38544810281-53.57648376648 710 1.0725399e-16 9.7885555e-19
1891.9505355858753975763840154.38544810281-53.57648376648 712 1.0642569e-16 8.9504727e-19
1901.9505355858753975763840154.38544810281-53.57648376648 714 1.0526054e-16 8.8458922e-19
1911.9505355858753975763840154.38544810281-53.57648376648 716 1.0420921e-16 9.5851001e-19
1921.9505355858753975763840154.38544810281-53.57648376648 718 1.0359589e-16 9.6407425e-19
1931.9505355858753975763840154.38544810281-53.57648376648 720 1.0352230e-16 8.8280158e-19
1941.9505355858753975763840154.38544810281-53.57648376648 722 1.0459080e-16 8.6247486e-19
1951.9505355858753975763840154.38544810281-53.57648376648 724 1.0595665e-16 9.2992999e-19
1961.9505355858753975763840154.38544810281-53.57648376648 726 1.0751190e-16 9.4606249e-19
1971.9505355858753975763840154.38544810281-53.57648376648 728 1.0911917e-16 8.7285401e-19
1981.9505355858753975763840154.38544810281-53.57648376648 730 1.1003663e-16 8.2726648e-19
1991.9505355858753975763840154.38544810281-53.57648376648 732 1.1017831e-16 8.7738758e-19
2001.9505355858753975763840154.38544810281-53.57648376648 734 1.0993662e-16 9.1153174e-19
2011.9505355858753975763840154.38544810281-53.57648376648 736 1.0978168e-16 8.6099141e-19
2021.9505355858753975763840154.38544810281-53.57648376648 738 1.0958792e-16 8.0165475e-19
2031.9505355858753975763840154.38544810281-53.57648376648 740 1.0966152e-16 8.2676464e-19
2041.9505355858753975763840154.38544810281-53.57648376648 742 1.1018711e-16 8.7495650e-19
2051.9505355858753975763840154.38544810281-53.57648376648 744 1.1084621e-16 8.5530537e-19
2061.9505355858753975763840154.38544810281-53.57648376648 746 1.1164263e-16 7.9711741e-19
2071.9505355858753975763840154.38544810281-53.57648376648 748 1.1231653e-16 7.8998607e-19
2081.9505355858753975763840154.38544810281-53.57648376648 750 1.1310645e-16 8.3275746e-19
2091.9505355858753975763840154.38544810281-53.57648376648 752 1.1343512e-16 8.4112807e-19
2101.9505355858753975763840154.38544810281-53.57648376648 754 1.1369059e-16 8.0228532e-19
2111.9505355858753975763840154.38544810281-53.57648376648 756 1.1332004e-16 7.7322290e-19
2121.9505355858753975763840154.38544810281-53.57648376648 758 1.1277778e-16 7.9094421e-19
2131.9505355858753975763840154.38544810281-53.57648376648 760 1.1207035e-16 8.1085874e-19
2141.9505355858753975763840154.38544810281-53.57648376648 762 1.1098962e-16 7.9542277e-19
2151.9505355858753975763840154.38544810281-53.57648376648 764 1.0999682e-16 7.7232613e-19
2161.9505355858753975763840154.38544810281-53.57648376648 766 1.0933293e-16 7.7706965e-19
2171.9505355858753975763840154.38544810281-53.57648376648 768 1.0902016e-16 7.9338150e-19
2181.9505355858753975763840154.38544810281-53.57648376648 770 1.0936034e-16 7.9071937e-19
2191.9505355858753975763840154.38544810281-53.57648376648 772 1.0977889e-16 7.7193270e-19
2201.9505355858753975763840154.38544810281-53.57648376648 774 1.1029794e-16 7.6899983e-19
2211.9505355858753975763840154.38544810281-53.57648376648 776 1.1092642e-16 7.8388086e-19
2221.9505355858753975763840154.38544810281-53.57648376648 778 1.1136170e-16 7.8722924e-19
2231.9505355858753975763840154.38544810281-53.57648376648 780 1.1146825e-16 7.7223235e-19
2241.9505355858753975763840154.38544810281-53.57648376648 782 1.1101277e-16 7.6387245e-19
2251.9505355858753975763840154.38544810281-53.57648376648 784 1.1071041e-16 7.8097037e-19
2261.9505355858753975763840154.38544810281-53.57648376648 786 1.1022116e-16 7.9550466e-19
2271.9505355858753975763840154.38544810281-53.57648376648 788 1.0974882e-16 7.8386783e-19
2281.9505355858753975763840154.38544810281-53.57648376648 790 1.0950585e-16 7.6204309e-19
2291.9505355858753975763840154.38544810281-53.57648376648 792 1.0941280e-16 7.6283527e-19
2301.9505355858753975763840154.38544810281-53.57648376648 794 1.0961612e-16 7.8553900e-19
2311.9505355858753975763840154.38544810281-53.57648376648 796 1.0993825e-16 7.9302209e-19
2321.9505355858753975763840154.38544810281-53.57648376648 798 1.1004114e-16 7.6764584e-19
2331.9505355858753975763840154.38544810281-53.57648376648 800 1.1017302e-16 7.4076190e-19
2341.9505355858753975763840154.38544810281-53.57648376648 802 1.0999320e-16 7.4687766e-19
2351.9505355858753975763840154.38544810281-53.57648376648 804 1.0958101e-16 7.7452622e-19
2361.9505355858753975763840154.38544810281-53.57648376648 806 1.0930603e-16 7.8221321e-19
2371.9505355858753975763840154.38544810281-53.57648376648 808 1.0884172e-16 7.5188350e-19
2381.9505355858753975763840154.38544810281-53.57648376648 810 1.0834693e-16 7.1739400e-19
2391.9505355858753975763840154.38544810281-53.57648376648 812 1.0797404e-16 7.2177283e-19
2401.9505355858753975763840154.38544810281-53.57648376648 814 1.0732527e-16 7.5273658e-19
2411.9505355858753975763840154.38544810281-53.57648376648 816 1.0728873e-16 7.6904889e-19
2421.9505355858753975763840154.38544810281-53.57648376648 818 1.0698573e-16 7.4288377e-19
2431.9505355858753975763840154.38544810281-53.57648376648 820 1.0686773e-16 7.0628010e-19
2441.9505355858753975763840154.38544810281-53.57648376648 822 1.0645111e-16 7.0414804e-19
2451.9505355858753975763840154.38544810281-53.57648376648 824 1.0602019e-16 7.4031119e-19
2461.9505355858753975763840154.38544810281-53.57648376648 826 1.0579668e-16 7.6825604e-19
2471.9505355858753975763840154.38544810281-53.57648376648 828 1.0548930e-16 7.5172385e-19
2481.9505355858753975763840154.38544810281-53.57648376648 830 1.0510290e-16 7.0714052e-19
2491.9505355858753975763840154.38544810281-53.57648376648 832 1.0480563e-16 6.8817317e-19
2501.9505355858753975763840154.38544810281-53.57648376648 834 1.0432891e-16 7.1861636e-19
2511.9505355858753975763840154.38544810281-53.57648376648 836 1.0398741e-16 7.6182342e-19
2521.9505355858753975763840154.38544810281-53.57648376648 838 1.0399614e-16 7.6974776e-19
2531.9505355858753975763840154.38544810281-53.57648376648 840 1.0361696e-16 7.2936335e-19
2541.9505355858753975763840154.38544810281-53.57648376648 842 1.0335964e-16 6.8619083e-19
2551.9505355858753975763840154.38544810281-53.57648376648 844 1.0252317e-16 6.8762935e-19
2561.9505355858753975763840154.38544810281-53.57648376648 846 1.0240037e-16 7.3783073e-19
2571.9505355858753975763840154.38544810281-53.57648376648 848 1.0217937e-16 7.7694485e-19
2581.9505355858753975763840154.38544810281-53.57648376648 850 1.0197383e-16 7.6779985e-19
2591.9505355858753975763840154.38544810281-53.57648376648 852 1.0140880e-16 7.1872359e-19
2601.9505355858753975763840154.38544810281-53.57648376648 854 1.0109399e-16 6.8558502e-19
2611.9505355858753975763840154.38544810281-53.57648376648 856 1.0080915e-16 7.0705491e-19
2621.9505355858753975763840154.38544810281-53.57648376648 858 1.0075027e-16 7.6134370e-19
2631.9505355858753975763840154.38544810281-53.57648376648 860 1.0050026e-16 7.9107738e-19
2641.9505355858753975763840154.38544810281-53.57648376648 862 1.0019341e-16 7.7071365e-19
2651.9505355858753975763840154.38544810281-53.57648376648 864 1.0013547e-16 7.2295182e-19
2661.9505355858753975763840154.38544810281-53.57648376648 866 1.0013220e-16 6.9825888e-19
2671.9505355858753975763840154.38544810281-53.57648376648 868 1.0079437e-16 7.3251630e-19
2681.9505355858753975763840154.38544810281-53.57648376648 870 1.0036278e-16 7.8324207e-19
2691.9505355858753975763840154.38544810281-53.57648376648 872 1.0088656e-16 8.1396594e-19
2701.9505355858753975763840154.38544810281-53.57648376648 874 1.0100221e-16 7.9195409e-19
2711.9505355858753975763840154.38544810281-53.57648376648 876 1.0138471e-16 7.4402456e-19
2721.9505355858753975763840154.38544810281-53.57648376648 878 1.0181587e-16 7.1849534e-19
2731.9505355858753975763840154.38544810281-53.57648376648 880 1.0278879e-16 7.5023488e-19
2741.9505355858753975763840154.38544810281-53.57648376648 882 1.0306484e-16 8.0523990e-19
2751.9505355858753975763840154.38544810281-53.57648376648 884 1.0317634e-16 8.3830511e-19
2761.9505355858753975763840154.38544810281-53.57648376648 886 1.0298099e-16 8.2363102e-19
2771.9505355858753975763840154.38544810281-53.57648376648 888 1.0277682e-16 7.7839128e-19
2781.9505355858753975763840154.38544810281-53.57648376648 890 1.0260458e-16 7.4699181e-19
2791.9505355858753975763840154.38544810281-53.57648376648 892 1.0210070e-16 7.6295764e-19
2801.9505355858753975763840154.38544810281-53.57648376648 894 1.0144274e-16 8.1450112e-19
2811.9505355858753975763840154.38544810281-53.57648376648 896 1.0123213e-16 8.6105175e-19
2821.9505355858753975763840154.38544810281-53.57648376648 898 1.0060551e-16 8.6325267e-19
2831.9505355858753975763840154.38544810281-53.57648376648 900 1.0030682e-16 8.2945210e-19
2841.9505355858753975763840154.38544810281-53.57648376648 902 1.0010706e-16 7.9185612e-19
2851.9505355858753975763840154.38544810281-53.57648376648 904 9.9656192e-17 7.8960319e-19
2861.9505355858753975763840154.38544810281-53.57648376648 906 9.9215418e-17 8.3244939e-19
2871.9505355858753975763840154.38544810281-53.57648376648 908 9.9400779e-17 8.9128049e-19
2881.9505355858753975763840154.38544810281-53.57648376648 910 9.8955756e-17 9.1587040e-19
2891.9505355858753975763840154.38544810281-53.57648376648 912 9.8671689e-17 8.9930963e-19
2901.9505355858753975763840154.38544810281-53.57648376648 914 9.8613276e-17 8.6074130e-19
2911.9505355858753975763840154.38544810281-53.57648376648 916 9.8635650e-17 8.3894441e-19
2921.9505355858753975763840154.38544810281-53.57648376648 918 9.7927676e-17 8.5685623e-19
2931.9505355858753975763840154.38544810281-53.57648376648 920 9.7735651e-17 9.1345938e-19
2941.9505355858753975763840154.38544810281-53.57648376648 922 9.8245029e-17 9.7179949e-19
2951.9505355858753975763840154.38544810281-53.57648376648 924 9.7797828e-17 9.8434162e-19
2961.9505355858753975763840154.38544810281-53.57648376648 926 9.7435947e-17 9.5771695e-19
2971.9505355858753975763840154.38544810281-53.57648376648 928 9.7831749e-17 9.2416051e-19
2981.9505355858753975763840154.38544810281-53.57648376648 930 9.7574457e-17 9.1000828e-19
2991.9505355858753975763840154.38544810281-53.57648376648 932 9.7212244e-17 9.4193507e-19
3001.9505355858753975763840154.38544810281-53.57648376648 934 9.7191690e-17 1.0054619e-18
3011.9505355858753975763840154.38544810281-53.57648376648 936 9.7090596e-17 1.0575404e-18
3021.9505355858753975763840154.38544810281-53.57648376648 938 9.7100985e-17 1.0727699e-18
3031.9505355858753975763840154.38544810281-53.57648376648 940 9.6585671e-17 1.0439710e-18
3041.9505355858753975763840154.38544810281-53.57648376648 942 9.6079874e-17 1.0047916e-18
3051.9505355858753975763840154.38544810281-53.57648376648 944 9.6724757e-17 1.0068546e-18
3061.9505355858753975763840154.38544810281-53.57648376648 946 9.5934641e-17 1.0431937e-18
3071.9505355858753975763840154.38544810281-53.57648376648 948 9.5540314e-17 1.1125181e-18
3081.9505355858753975763840154.38544810281-53.57648376648 950 9.6195825e-17 1.1829389e-18
3091.9505355858753975763840154.38544810281-53.57648376648 952 9.5455756e-17 1.1951264e-18
3101.9505355858753975763840154.38544810281-53.57648376648 954 9.5248590e-17 1.1703175e-18
3111.9505355858753975763840154.38544810281-53.57648376648 956 9.5708483e-17 1.1372224e-18
3121.9505355858753975763840154.38544810281-53.57648376648 958 9.5366573e-17 1.1226345e-18
3131.9505355858753975763840154.38544810281-53.57648376648 960 9.5201117e-17 1.1678410e-18
3141.9505355858753975763840154.38544810281-53.57648376648 962 9.4961214e-17 1.2561756e-18
3151.9505355858753975763840154.38544810281-53.57648376648 964 9.4893141e-17 1.3470848e-18
3161.9505355858753975763840154.38544810281-53.57648376648 966 9.3751387e-17 1.3823993e-18
3171.9505355858753975763840154.38544810281-53.57648376648 968 9.3269286e-17 1.3726620e-18
3181.9505355858753975763840154.38544810281-53.57648376648 970 9.3058633e-17 1.3312228e-18
3191.9505355858753975763840154.38544810281-53.57648376648 972 9.1500192e-17 1.2833326e-18
3201.9505355858753975763840154.38544810281-53.57648376648 974 9.1484601e-17 1.3207288e-18
3211.9505355858753975763840154.38544810281-53.57648376648 976 9.0913409e-17 1.4226114e-18
3221.9505355858753975763840154.38544810281-53.57648376648 978 8.9595261e-17 1.5395312e-18
3231.9505355858753975763840154.38544810281-53.57648376648 980 9.0307741e-17 1.6598176e-18
3241.9505355858753975763840154.38544810281-53.57648376648 982 8.9204785e-17 1.6760329e-18
3251.9505355858753975763840154.38544810281-53.57648376648 984 8.9491367e-17 1.6439236e-18
3261.9505355858753975763840154.38544810281-53.57648376648 986 8.9632854e-17 1.5744084e-18
3271.9505355858753975763840154.38544810281-53.57648376648 988 8.9012310e-17 1.5324994e-18
3281.9505355858753975763840154.38544810281-53.57648376648 990 9.0358140e-17 1.6341914e-18
3291.9505355858753975763840154.38544810281-53.57648376648 992 8.9904957e-17 1.8126772e-18
3301.9505355858753975763840154.38544810281-53.57648376648 994 9.0795175e-17 2.0598361e-18
3311.9505355858753975763840154.38544810281-53.57648376648 996 9.1473967e-17 2.2659672e-18
3321.9505355858753975763840154.38544810281-53.57648376648 998 9.1149871e-17 2.3531520e-18
3331.9505355858753975763840154.38544810281-53.576483766481000 9.1615501e-17 2.3532906e-18
3341.9505355858753975763840154.38544810281-53.576483766481002 9.1553541e-17 2.2787190e-18
3351.9505355858753975763840154.38544810281-53.576483766481004 9.0893398e-17 2.2459337e-18
3361.9505355858753975763840154.38544810281-53.576483766481006 9.1475058e-17 2.4469022e-18
3371.9505355858753975763840154.38544810281-53.576483766481008 9.0533145e-17 2.8538399e-18
3381.9505355858753975763840154.38544810281-53.576483766481010 9.0846712e-17 3.4424420e-18
3391.9505355858753975763840154.38544810281-53.576483766481012 9.1810953e-17 4.0451783e-18
3401.9505355858753975763840154.38544810281-53.576483766481014 9.1396708e-17 4.4247157e-18
3411.9505355858753975763840154.38544810281-53.576483766481016 9.3792163e-17 4.6859463e-18
3421.9505355858753975763840154.38544810281-53.576483766481018 9.3565589e-17 4.5656077e-18
3431.9505355858753975763840154.38544810281-53.576483766481020 9.6195441e-17 4.4947402e-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

11.9505355858753975763840154.38544810281-53.57648376648454546903015620608118331888 83 1.024691820 1.924638e+0319 0.999997795 3087 3142 50 1.022526622 3.227646e+0313 0.99999875 7756248060552094186976201485 7756248060552094186976201485
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

11.950154.38544810281-53.576483766485355858753975763840plottsv
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
arcsec
Source

RA_ICRS
deg
DE_ICRS
deg
E(BP/RP)corr

FU
W/m2/nm
11.9505355858753975763840154.38544810281-53.57648376648 -0.0013  
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)
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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

10.122154.386247-53.57629810173269-533434611.668 0.02211.011 0.02110.853 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)
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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

11.189J101732.58-533435.1154.385788-53.576418 0.075 0.071Im10.813 0.02310.858 0.02010.468 0.055 9.220 0.40211.66811.01110.8530h000011n 1.0722M

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)
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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

11.234J101732.58-533435.0154.3857564-53.5764063Im10.818 0.02310.862 0.02010.940 0.083 9.171  11.668 0.02211.011 0.02110.853 0.021hh000001n -144 31 -82 31AAAU 1.1192M

Note:

II/336/apass9 AAVSO Photometric All Sky Survey (APASS) DR9 (Henden+, 2016)
The APASS catalog (61176401 rows)
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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
12.64241171917154.385653-53.575648 0.865 0.815 20162367 4 17 1.187 0.05714.132 0.03415.318 0.04614.760 0.04613.597 0.03013.075 0.037
II/358/smss SkyMapper Southern Sky Survey. DR1.1 (Wolf+, 2018)
SkyMapper DR1.1 (original column names in green) (285159194 rows)
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_r
arcsec
ObjectId

RAICRS
deg
DEICRS
deg
e_RAICRS
mas
e_DEICRS
mas
SMSS

EpMean
d
flags

ClassStar

RadrPetro
pix
a
pix
b
pix
PA
deg
uPSF
mag
uPetro
mag
vPSF
mag
vPetro
mag
gPSF
mag
gPetro
mag
rPSF
mag
rPetro
mag
iPSF
mag
iPetro
mag
zPSF
mag
zPetro
mag
(u-v)PSF
mag
(u-g)PSF
mag
(g-r)PSF
mag
(g-i)PSF
mag
(i-z)PSF
mag
11.790261151631154.385533094-53.576488018 22 36101732.53-533435.356955.8810 0 0.984 4.73 2.79 2.57-41.13        14.38614.41413.63613.65413.11013.12212.99413.008     0.750 1.276 0.116
II/360/catalog Gaia DR2 x AllWISE catalogue (Marton+, 2019)
Gaia DR2 X AllWise catalog (101838724 rows)
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_r
arcsec
Source

RA_ICRS
deg
DE_ICRS
deg
LE

LEG

LMS

LY

Gmag
mag
tau

AllWISE

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

SEG

SMS

SY

11.8895355858753975763840154.385474-53.576477 0.92560 0.00820 0.05840 0.0078013.595800 0.00005J101732.58-533435.010.81810.86210.940 9.17111.66811.01110.853 0.92260 0.00660 0.06120 0.00960

Note:

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

11.7661553m531o0006821154.3855383-53.5764790 4.6739e+04 4.4618e+04 3.5354e+01 7.3353e+01 1.00000 1.00000 0.9908 0.9896
II/365/catwise The CatWISE2020 catalog (updated version 28-Jan-2021) (Marocco+, 2021)
The CatWISE2020 catalog (original column names in green) (1890715640 rows)
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_r
arcsec
RA_ICRS
deg
e_
arcsec
DE_ICRS
deg
e_
arcsec
Name

nW1

mW1

nW2

mW2

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

snrW2pm

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

Dist
arcsec
snrdELON

snrdELAT

chi2pmRA

chi2pmDE

ka

k1

k2

km

Sep
arcsec
abf

WISEA

11.759154.3855284 0.0192-53.5764605 0.0219J101732.53-533435.3 13 13 13 13154.3855219 0.0203-53.5764869 0.0221 -0.11056 0.0038 -0.04733 0.0040 81.3 128.3 4.7e+04 6e+02 4.5e+04 4e+0210.81410.8581N000 0.143 1.198 2.575 1.34e+01 7.04e+003333 0.51600WISEA

Note:

II/374/table2 RGB photometric calibration of 213 million Gaia stars (Carrasco+, 2023)
Catalogue with RGB magnitudes for Gaia DR3 objects (213064002 rows)
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_r
arcsec
GaiaDR3

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

qlflag

11.9505355858753975763840154.38544810281-53.57648376648 14.804 14.248 13.707 0.002 0.001 0.00100
IV/35/wn18_b10 Gaia DR2-WISE Galactic Plane Matches (Wilson+, 2018)
IDs, positions, magnitudes and probabilities (118,964,029 sources) (118964029 rows)
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_r
arcsec
RAICRS
deg
DEICRS
deg
GAIA-WISE

GAIA

WISE

RAWdeg
deg
DEWdeg
deg
gmag
mag
W1mag
mag
W2mag
mag
W3mag
mag
W4mag
mag
MatchP

eta

xi

ContP1

ContP10

avgCont

11.889154.38547445511-53.57647728980GAIA-WISE5355858753975763840J101732.58-533435.0154.3857564-53.576406313.595800 10.818 10.862 10.940 9.171 9.9998706757134392e-01 1.4534917632343229e+00 3.4348225290187218e+00 3.8461347374853128e-01 6.0808762007194081e-02 8.8616526797480444e-02

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)
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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

10.000 272350933154.38629077105-53.57627645825  183-05255310173269-53343465355858753975763840STARtmgaia2 -112.573 0.040 -46.644 0.035gaia2 4225.0 128.7 4.6572 0.1084     0.631 0.058 0.660 0.082DWARF 162.0130 0.6190 1881 0.9788 0.086 0.078 0.044 0.073 0.1277 0.0891 0.6170 0.6210bj2018 145.0 112.5dered 0.69268496589 0.53740185768154.38547445511-53.57647728980 0.02040767971 0.01926602865Sloan

Note:

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

RAJ2000
deg
DEJ2000
deg
TYC

UCAC4

2MASS

GAIA

S/G

Ref

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

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

Dist
pc
s_
pc
Ncont

Rcont

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

e_Teff
K
E_Teff
K
r_Teff

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

10.000 272350933154.38629077105-53.57627645825  183-05255310173269-53343465355858753975763840STARtmgaia2 -112.573 0.040 -46.644 0.035gaia2 4225.0 128.7 4.6572 0.1084     0.631 0.058 0.660 0.082DWARF 162.0130 0.6190 1881 0.9788 0.086 0.078 0.044 0.073 0.1277 0.0891 0.6170 0.6210bj2018 145.0 112.5dered 0.692685 0.537402154.38547445511-53.57647728980 0.020408 0.019266Sloan
VI/42/out Identification of a Constellation From Position (Roman 1987)
Compute constellation name from Position (357 rows)
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_r
arcsec
RA1875
deg
DE1875
deg
Cst

10.2153.1974-52.9517Vel

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

10.20910594154.386216-53.57623912.562 0.0311.588 0.0610.775 0.09     99 98 98J101732.6-533434
20.42110667154.386115-53.57622412.610 0.0311.742 0.0810.870 0.07     99 99 99J101732.6-533434
J/ApJ/867/105/refcat2 ATLAS all-sky stellar ref. catalog, ATLAS-REFCAT2 (Tonry+, 2018)
ATLAS all-sky stellar reference catalog, ATLAS-REFCAT2 (original column names in green) (992637834 rows)
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_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
11.889GaiaDR2154.38547446-53.57647729 6.14 -112.57 -46.6413.59614.36812.7504365 0.2712 2.19412.999.999.914.64013.64013.16312.933      
J/ApJS/224/36/motionobj The AllWISE motion survey (AllWISE2) (Kirkpatrick+, 2016)
AllWISE motion objects from AllWISE1 and AllWISE2 (tables 2 and 3) (44474 rows)
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_r
arcsec
S

WISEA

Jmag
mag
Hmag
mag
Ksmag
mag
W1mag
mag
W2mag
mag
motRA
mas/yr
motDE
mas/yr
pmRA
mas/yr
pmDE
mas/yr
Flag

K14

2M

Simbad

_RA
deg
_DE
deg
11.222J101732.58-533435.011.66811.011 10.85310.81810.862 -144 -82 -109.2 -40.50 02MSimbad154.38575-53.57639
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
11.8895355858753975763840154.38547445511-53.576477289804277 178
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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_r
arcsec
Source

RA_ICRS
deg
DE_ICRS
deg
E(BP-RP)
mag
e_
mag
11.8895355858753975763840154.38547445511-53.57647728980 4.82e-03 0.064160
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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_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
11.889535585875397576384013.59580014.36820012.749700154.38547445511-53.57647728980 6.1435 -112.573 -46.64499.0                  10173269-533434611.66811.01110.853154.386247-53.576298 0.9998333 0.3462493J101732.58-533435.010.81810.86210.940 9.171154.3857564-53.5764063 0.9998367 0.0104661 99                                99.0            154.38629077105-53.57627645869
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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_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
11.889535585875397576384013.595800154.38547445511-53.5764772898010173221-533422714.092 0.04013.593 0.04313.417 0.043154.384218-53.572987 0.001119412.6379361154.38547445511-53.57647728980
21.889535585875397576384013.595800154.38547445511-53.5764772898010173269-533434611.668 0.02211.011 0.02110.853 0.021154.386247-53.576298 0.9998333 0.3462493154.38547445511-53.57647728980
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
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
11.889535585875397576384013.595800154.38547445511-53.57647728980J101732.58-533435.010.818 0.02310.862 0.02010.940 0.083 9.171  154.3857564-53.5764063 0.9998367 0.0104661154.38547445511-53.57647728980
J/MNRAS/507/318/table2 15 million Gaia stars RGB phot. calibration (Cardiel+, 2021)
Catalogue with RGB magnitudes for ∼15 million stars (14854959 rows)
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_r
arcsec
GaiaEDR3

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

dist50
kpc
_RA.icrs
deg
_DE.icrs
deg
11.9505355858753975763840154.385448103-53.57648376614.8514.1913.7214.2813.583614.340812.7337 0.079-0.028 0.162154.385448103-53.576483766
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