V/155 GDR2AP. Gaia DR2, 2MASS, AllWISE astrophys. param. (Fouesneau+, 2022)
Astrophysical Parameters from Gaia DR2, 2MASS and AllWISE.
Fouesneau M., Andrae R., Dharmawardena T., Rybizki J., Bailer-Jones C.A.L.,
Demleitner M.
<Astron. Astrophys. 662, A125 (2022)>
=2022A&A...662A.125F 2022A&A...662A.125F
=2022yCat.5155....0F 2022yCat.5155....0F
ADC_Keywords: Surveys ; Extinction ; Stars, distances ; Stars, masses ;
Photometry ; Optical
Keywords: stars: distances - stars: fundamental parameters -
methods: statistical - Galaxy: stellar content -
ISM: dust extinction - catalogs
Abstract:
Stellar physical and dynamical properties are essential knowledge to
understanding the structure, formation, and evolution of our Galaxy.
We produced an all-sky uniformly derived catalog of stellar
astrophysical parameters (APs; age, mass, temperature, bolometric
luminosity, distance, dust extinction) to give insight into the
physical properties of Milky-Way stars.
Exploiting the power of multi-wavelength and multi-survey observations
from Gaia DR2 parallaxes and integrated photometry along with 2MASS
and AllWISE photometry, we introduce an all-sky uniformly derived
catalog of stellar astrophysical parameters, including dust extinction
(A0) average grain size (R0) along the line of sight, for 123097070
stars. In contrast with previous works, we do not use a Galactic model
as prior in our analysis.
We validate our results against other literature (e.g., benchmark
stars, interferometry, Bayestar, StarHorse). The limited optical
information in the Gaia photometric bands or the lack of ultraviolet
or spectroscopic information renders the chemistry inference prior
dominated. We demonstrate that Gaia parallaxes bring sufficient
leverage to explore the detailed structures of the interstellar medium
in our Milky Way.
In Gaia DR3, we will obtain the dispersed optical light information to
break through some limitations of this analysis, allowing us to infer
stellar chemistry in particular. Gaia promises us data to construct
the most detailed view of the chemo-dynamics of field star populations
in our Galaxy.
Our catalog is available from the German Astrophysical Virtual
Observatory (GAVO) at http://dc.g-vo.org/tableinfo/ gdr2ap.main where
one can query it via ADQL and TAP (and soon in the Gaia Archive).
Description:
We constructed a crossmatch catalog by considering the "obvious"
all-sky non-Gaia data provided by DPAC2 that span a different
wavelength range, i.e., 2MASS (Skrutskie et al., 2006, Cat. VII/233;
Cutri et al., 2003, Cat. II/246) and AllWISE (Cutri & et al., 2014,
Cat. II/328). For the latter, Wise provides us with four photometric
bands spanning wavelengths from 1 to 30um. Because the interstellar
dust emits at those wavelengths contaminating W3 and W4 photometry, we
only included W1 and W2 in our analysis.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
gdr2ap.sam 1832 1000 Sample records of GDR2AP
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See also:
I/345 : Gaia DR2 (Gaia Collaboration, 2018)
II/246 : 2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)
VII/233 : The 2MASS Extended sources (IPAC/UMass, 2003-2006)
II/328 : AllWISE Data Release (Cutri+ 2013)
http://dc.g-vo.org/tableinfo/gdr2ap.main : GRD2AP Home Page
Byte-by-byte Description of file: gdr2ap.sam
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 19 I19 --- GaiaDR2 Unique source identifier
(source_id)) (1)
21- 28 F8.4 deg RAdeg Barycentric right ascension (ICRS)
at Ep=2015.5 (RA_ICRS)
30- 37 F8.4 deg DEdeg Barycentric declination (ICRS)
at Ep=2015.5 (DE_ICRS)
39- 45 F7.4 mag A0best multivariate maximum posterior
estimate for the dust extinction A0
(A0_best)
47- 53 F7.4 mag A0max Maximum of the A0 distribution
(A0_max)
55- 61 F7.4 mag A0min Minimum of the A0 distribution
(A0_min)
63- 69 F7.4 mag A0p16 16th percentile of the A0
distribution (A0_p16)
71- 77 F7.4 mag A0p25 25th percentile of the A0
distribution (A0_p25)
79- 85 F7.4 mag A0med median of the distribution of dust
extinction A0 towards this source
(A0_p50)
87- 93 F7.4 mag A0p75 75th percentile of the A0
distribution (A0_p75)
95- 101 F7.4 mag A0p84 84th percentile of the A0
distribution (A0_p84)
103- 109 F7.5 --- R0best multivariate maximum posterior
estimate for the average dust grain
size extinction parameter (R0_best)
111- 117 F7.5 --- R0max Maximum of the R0 distribution
(R0_max)
119- 125 F7.5 --- R0min Minimum of the R0 distribution
(R0_min)
127- 133 F7.5 --- R0p16 16th percentile of the R0
distribution (R0_p16)
135- 141 F7.5 --- R0p25 25th percentile of the R0
distribution (R0_p25)
143- 149 F7.5 --- R0med median of the distribution of average
dust grain size extinction parameter
(R0_p50)
151- 157 F7.5 --- R0p75 75th percentile of the R0
distribution (R0_p75)
159- 165 F7.5 --- R0p84 84th percentile of the R0
distribution (R0_p84)
167- 173 F7.4 mag dmodbest multivariate maximum posterior
estimate for the distance modulus
(dmod_best)
175- 181 F7.4 mag dmodmax Maximum of the dmod distribution
(dmod_max)
183- 189 F7.4 mag dmodmin Minimum of the dmod distribution
(dmod_min)
191- 197 F7.4 mag dmodp16 16th percentile of the dmod
distribution (dmod_p16)
199- 205 F7.4 mag dmodp25 25th percentile of the dmod
distribution (dmod_p25)
207- 213 F7.4 mag dmodmed median of the distribution of
distance modulus (dmod_p50)
215- 221 F7.4 mag dmodp75 75th percentile of the dmod
distribution (dmod_p75)
223- 229 F7.4 mag dmodp84 84th percentile of the dmod
distribution (dmod_p84)
231- 244 F14.4 --- lnlikebest multivariate maximum posterior
estimate for the log likelihood of
the solution (paper Eq. 1)
(lnlike_best)
246- 259 F14.4 --- lnlikemax Maximum of the lnlike distribution
(lnlike_max)
261- 275 F15.4 --- lnlikemin Minimum of the lnlike distribution
(lnlike_min)
277- 291 F15.4 --- lnlikep16 16th percentile of the lnlike
distribution (lnlike_p16)
293- 307 F15.4 --- lnlikep25 25th percentile of the lnlike
distribution (lnlike_p25)
309- 323 F15.4 --- lnlikemed median of the distribution of log
likelihood of the solution
(paper Eq. 1) (lnlike_p50)
325- 339 F15.4 --- lnlikep75 75th percentile of the lnlike
distribution (lnlike_p75)
341- 355 F15.4 --- lnlikep84 84th percentile of the lnlike
distribution (lnlike_p84)
357- 370 F14.4 --- lnpbest multivariate maximum posterior
estimate for the log posterior of
the solution (paper Eq. 2)
(lnp_best)
372- 385 F14.4 --- lnpmax Maximum of the lnp distribution
(lnp_max)
387- 401 F15.4 --- lnpmin Minimum of the lnp distribution
(lnp_min)
403- 417 F15.4 --- lnpp16 16th percentile of the lnp
distribution (lnp_p16)
419- 433 F15.4 --- lnpp25 25th percentile of the lnp
distribution (lnp_p25)
435- 449 F15.4 --- lnpmed median of the distribution of log
posterior of the solution
(paper Eq. 2) (lnp_p50)
451- 465 F15.4 --- lnpp75 75th percentile of the lnp
distribution (lnp_p75)
467- 481 F15.4 --- lnpp84 84th percentile of the lnp
distribution (lnp_p84)
483- 498 F16.6 [mag] log10jitterbest multivariate maximum posterior
estimate for the log photometric
likelihood jitter common to all
bands (log10jitter_best)
500- 511 F12.6 [mag] log10jittermax Maximum of the log10jitter
distribution (log10jitter_max)
513- 528 F16.6 [mag] log10jittermin Minimum of the log10jitter
distribution (log10jitter_min)
530- 544 F15.6 [mag] log10jitterp16 16th percentile of the log10jitter
distribution (log10jitter_p16)
546- 560 F15.6 [mag] log10jitterp25 25th percentile of the log10jitter
distribution (log10jitter_p25)
562- 575 F14.6 [mag] log10jittermed median of the distribution of log
photometric likelihood jitter
common to all bands
(log10jitter_p50)
577- 590 F14.6 [mag] log10jitterp75 75th percentile of the log10jitter
distribution (log10jitter_p75)
592- 604 F13.6 [mag] log10jitterp84 84th percentile of the log10jitter
distribution (log10jitter_p84)
606- 612 F7.4 [yr] logAbest multivariate maximum posterior
estimate for the log10 of the age
(logA_best)
614- 620 F7.4 [yr] logAmax Maximum of the logA distribution
(logA_max)
622- 628 F7.4 [yr] logAmin Minimum of the logA distribution
(logA_min)
630- 636 F7.4 [yr] logAp16 16th percentile of the logA
distribution (logA_p16)
638- 644 F7.4 [yr] logAp25 25th percentile of the logA
distribution (logA_p25)
646- 652 F7.4 [yr] logAmed median of the distribution of
log10 of the age (logA_p50)
654- 660 F7.4 [yr] logAp75 75th percentile of the logA
distribution (logA_p75)
662- 668 F7.4 [yr] logAp84 84th percentile of the logA
distribution (logA_p84)
670- 677 F8.5 [Lsun] logLbest multivariate maximum posterior
estimate for the log10 of the
luminosity (logL_best)
679- 686 F8.5 [Lsun] logLmax Maximum of the logL distribution
(logL_max)
688- 695 F8.5 [Lsun] logLmin Minimum of the logL distribution
(logL_min)
697- 704 F8.5 [Lsun] logLp16 16th percentile of the logL
distribution (logL_p16)
706- 713 F8.5 [Lsun] logLp25 25th percentile of the logL
distribution (logL_p25)
715- 722 F8.5 [Lsun] logLmed median of the distribution of log10
of the luminosity (logL_p50)
724- 731 F8.5 [Lsun] logLp75 75th percentile of the logL
distribution (logL_p75)
733- 740 F8.5 [Lsun] logLp84 84th percentile of the logL
distribution (logL_p84)
742- 749 F8.5 [Msun] logMbest multivariate maximum posterior
estimate for the log10 of the mass
(logM_best)
751- 758 F8.5 [Msun] logMmax Maximum of the logM distribution
(logM_max)
760- 767 F8.5 [Msun] logMmin Minimum of the logM distribution
(logM_min)
769- 776 F8.5 [Msun] logMp16 16th percentile of the logM
distribution (logM_p16)
778- 785 F8.5 [Msun] logMp25 25th percentile of the logM
distribution (logM_p25)
787- 794 F8.5 [Msun] logMmed median of the distribution of
log10 of the mass (logM_p50)
796- 803 F8.5 [Msun] logMp75 75th percentile of the logM
distribution (logM_p75)
805- 812 F8.5 [Msun] logMp84 84th percentile of the logM
distribution (logM_p84)
814- 820 F7.5 [K] logTbest multivariate maximum posterior
estimate for the log10 of the
effective temperature (logT_best)
822- 828 F7.5 [K] logTmax Maximum of the logT distribution
(logT_max)
830- 836 F7.5 [K] logTmin Minimum of the logT distribution
(logT_min)
838- 844 F7.5 [K] logTp16 16th percentile of the logT
distribution (logT_p16)
846- 852 F7.5 [K] logTp25 25th percentile of the logT
distribution (logT_p25)
854- 860 F7.5 [K] logTmed median of the distribution of log10
of the effective temperature
(logT_p50)
862- 868 F7.5 [K] logTp75 75th percentile of the logT
distribution (logT_p75)
870- 876 F7.5 [K] logTp84 84th percentile of the logT
distribution (logT_p84)
878- 884 F7.4 [cm/s2] loggbest multivariate maximum posterior
estimate for the log10 of the
surface gravity (logg_best)
886- 892 F7.4 [cm/s2] loggmax Maximum of the logg distribution
(logg_max)
894- 900 F7.4 [cm/s2] loggmin Minimum of the logg distribution
(logg_min)
902- 908 F7.4 [cm/s2] loggp16 16th percentile of the logg
distribution (logg_p16)
910- 916 F7.4 [cm/s2] loggp25 25th percentile of the logg
distribution (logg_p25)
918- 924 F7.4 [cm/s2] loggmed median of the distribution of log10
of the surface gravity (logg_p50)
926- 932 F7.4 [cm/s2] loggp75 75th percentile of the logg
distribution (logg_p75)
934- 940 F7.4 [cm/s2] loggp84 84th percentile of the logg
distribution (logg_p84)
942- 949 F8.4 mas Plx Recalibrated parallax (parallax) (2)
951- 956 F6.4 mas e_Plx Error in recalibrated parallax
(parallax_sigma) (3)
958- 964 F7.4 mag ABPbest multivariate maximum posterior
estimate for the attenuation in the
Gaia BP band towards this source
(ABPbest)
966- 972 F7.4 mag ABPmax Maximum of the A_BP distribution
(ABPmax)
974- 980 F7.4 mag ABPmin Minimum of the A_BP distribution
(ABPmin)
982- 988 F7.4 mag ABPp16 16th percentile of the A_BP
distribution (ABPp16)
990- 996 F7.4 mag ABPp25 25th percentile of the A_BP
distribution (ABPp25)
998-1004 F7.4 mag ABPmed median of the distribution of
attenuation in the Gaia BP band
towards this source (ABPp50)
1006-1012 F7.4 mag ABPp75 75th percentile of the A_BP
distribution (ABPp75)
1014-1020 F7.4 mag ABPp84 84th percentile of the A_BP
distribution (ABPp84)
1022-1028 F7.4 mag AGbest multivariate maximum posterior
estimate for the attenuation in the
Gaia G band towards this source
(AGbest)
1030-1036 F7.4 mag AGmax Maximum of the A_G distribution
(AGmax)
1038-1044 F7.4 mag AGmin Minimum of the A_G distribution
(AGmin)
1046-1052 F7.4 mag AGp16 16th percentile of the A_G
distribution (AGp16)
1054-1060 F7.4 mag AGp25 25th percentile of the A_G
distribution (AGp25)
1062-1068 F7.4 mag AGmed median of the distribution of
attenuation in the Gaia G band
towards this source (AGp50)
1070-1076 F7.4 mag AGp75 75th percentile of the A_G
distribution (AGp75)
1078-1084 F7.4 mag AGp84 84th percentile of the A_G
distribution (AGp84)
1086-1092 F7.4 mag ARPbest multivariate maximum posterior
estimate for the attenuation in the
Gaia RP band towards this source
(ARPbest)
1094-1100 F7.4 mag ARPmax Maximum of the A_RP distribution
(ARPmax)
1102-1108 F7.4 mag ARPmin Minimum of the A_RP distribution
(ARPmin)
1110-1116 F7.4 mag ARPp16 16th percentile of the A_RP
distribution (ARPp16)
1118-1124 F7.4 mag ARPp25 25th percentile of the A_RP
distribution (ARPp25)
1126-1132 F7.4 mag ARPmed median of the distribution of
attenuation in the Gaia RP band
towards this source (ARPp50)
1134-1140 F7.4 mag ARPp75 75th percentile of the A_RP
distribution (ARPp75)
1142-1148 F7.4 mag ARPp84 84th percentile of the A_RP
distribution (ARPp84)
1150-1156 F7.4 mag BP Recalibrated Gaia BP magnitude
(BP) (4)
1158-1164 F7.4 mag BPbest multivariate maximum posterior
estimate for the Gaia BP magnitude
(BP_best)
1166-1172 F7.4 mag BPmax Maximum of the BP distribution
(BP_max)
1174-1181 F8.4 mag BPmin Minimum of the BP distribution
(BP_min)
1183-1189 F7.4 mag BPp16 16th percentile of the BP
distribution (BP_p16)
1191-1197 F7.4 mag BPp25 25th percentile of the BP
distribution (BP_p25)
1199-1205 F7.4 mag BPmed median of the distribution of
Gaia BP magnitude (BP_p50)
1207-1213 F7.4 mag BPp75 75th percentile of the BP
distribution (BP_p75)
1215-1221 F7.4 mag BPp84 84th percentile of the BP
distribution (BP_p84)
1223-1229 F7.4 mag e_BP Recalibrated error from original
Gaia BP magnitude (BP_sigma) (5)
1231-1237 F7.4 mag G Recalibrated Gaia G magnitude (G) (6)
1239-1245 F7.4 mag Gbest multivariate maximum posterior
estimate for the Gaia G magnitude
(G_best)
1247-1253 F7.4 mag Gmax Maximum of the G distribution (G_max)
1255-1262 F8.4 mag Gmin Minimum of the G distribution (G_min)
1264-1270 F7.4 mag Gp16 16th percentile of the G
distribution (G_p16)
1272-1278 F7.4 mag Gp25 25th percentile of the G
distribution (G_p25)
1280-1286 F7.4 mag Gmed median of the distribution of
Gaia G magnitude (G_p50)
1288-1294 F7.4 mag Gp75 75th percentile of the G
distribution (G_p75)
1296-1302 F7.4 mag Gp84 84th percentile of the G
distribution (G_p84)
1304-1309 F6.4 mag e_G Recalibrated error from original
Gaia G magnitude (G_sigma) (5)
1311-1317 F7.4 mag H Recalibrated 2MASS H magnitude (H)
1319-1326 F8.4 mag Hbest multivariate maximum posterior
estimate for the 2MASS H magnitude
(H_best)
1328-1335 F8.4 mag Hmax Maximum of the H distribution (H_max)
1337-1344 F8.4 mag Hmin Minimum of the H distribution (H_min)
1346-1353 F8.4 mag Hp16 16th percentile of the H
distribution (H_p16)
1355-1362 F8.4 mag Hp25 25th percentile of the H
distribution (H_p25)
1364-1371 F8.4 mag Hmed median of the distribution of
2MASS H magnitude (H_p50)
1373-1380 F8.4 mag Hp75 75th percentile of the H
distribution (H_p75)
1382-1389 F8.4 mag Hp84 84th percentile of the H
distribution (H_p84)
1391-1397 F7.4 mag e_H Recalibrated error from original
2MASS H magnitude (H_sigma) (5)
1399-1405 F7.4 mag J Recalibrated 2MASS J magnitude (J)
1407-1414 F8.4 mag Jbest multivariate maximum posterior
estimate for the 2MASS J magnitude
(J_best)
1416-1423 F8.4 mag Jmax Maximum of the J distribution (J_max)
1425-1432 F8.4 mag Jmin Minimum of the J distribution (J_min)
1434-1441 F8.4 mag Jp16 16th percentile of the J
distribution (J_p16)
1443-1450 F8.4 mag Jp25 25th percentile of the J
distribution (J_p25)
1452-1459 F8.4 mag Jmed median of the distribution of
2MASS J magnitude (J_p50)
1461-1468 F8.4 mag Jp75 75th percentile of the J
distribution (J_p75)
1470-1477 F8.4 mag Jp84 84th percentile of the J
distribution (J_p84)
1479-1485 F7.4 mag e_J Recalibrated error from original
2MASS J magnitude (J_sigma) (5)
1487-1493 F7.4 mag Ks Recalibrated 2MASS Ks magnitude (Ks)
1495-1502 F8.4 mag Ksbest multivariate maximum posterior
estimate for the 2MASS Ks magnitude
(Ks_best)
1504-1511 F8.4 mag Ksmax Maximum of the Ks distribution
(Ks_max)
1513-1520 F8.4 mag Ksmin Minimum of the Ks distribution
(Ks_min)
1522-1529 F8.4 mag Ksp16 16th percentile of the Ks
distribution (Ks_p16)
1531-1538 F8.4 mag Ksp25 25th percentile of the Ks
distribution (Ks_p25)
1540-1547 F8.4 mag Ksmed median of the distribution of
2MASS Ks magnitude (Ks_p50)
1549-1556 F8.4 mag Ksp75 75th percentile of the Ks
distribution (Ks_p75)
1558-1565 F8.4 mag Ksp84 84th percentile of the Ks
distribution (Ks_p84)
1567-1573 F7.4 mag e_Ks Recalibrated error from original
2MASS Ks magnitude (Ks_sigma) (5)
1575-1581 F7.4 mag RP Recalibrated Gaia RP magnitude
(RP) (4)
1583-1590 F8.4 mag RPbest multivariate maximum posterior
estimate for the Gaia RP magnitude
(RP_best)
1592-1598 F7.4 mag RPmax Maximum of the RP distribution
(RP_max)
1600-1607 F8.4 mag RPmin Minimum of the RP distribution
(RP_min)
1609-1616 F8.4 mag RPp16 16th percentile of the RP
distribution (RP_p16)
1618-1624 F7.4 mag RPp25 25th percentile of the RP
distribution (RP_p25)
1626-1632 F7.4 mag RPmed median of the distribution of
Gaia RP magnitude (RP_p50)
1634-1640 F7.4 mag RPp75 75th percentile of the RP
distribution (RP_p75)
1642-1648 F7.4 mag RPp84 84th percentile of the RP
distribution (RP_p84)
1650-1656 F7.4 mag e_RP Recalibrated error from original (RP)
Gaia RP magnitude (RP_sigma) (5)
1658-1664 F7.4 mag W1 Recalibrated error from original (W1)
WISE W1 magnitude (5)
1666-1673 F8.4 mag W1best multivariate maximum posterior
estimate for the WISE W1 magnitude
(W1_best)
1675-1682 F8.4 mag W1max Maximum of the W1 distribution
(W1_max)
1684-1691 F8.4 mag W1min Minimum of the W1 distribution
(W1_min)
1693-1700 F8.4 mag W1p16 16th percentile of the W1
distribution (W1_p16)
1702-1709 F8.4 mag W1p25 25th percentile of the W1
distribution (W1_p25)
1711-1718 F8.4 mag W1med median of the distribution of
WISE W1 magnitude (W1_p50)
1720-1727 F8.4 mag W1p75 75th percentile of the W1
distribution (W1_p75)
1729-1736 F8.4 mag W1p84 84th percentile of the W1
distribution (W1_p84)
1738-1744 F7.4 mag e_W1 Recalibrated error from original
WISE W1 magnitude (W1_sigma) (5)
1746-1752 F7.4 mag W2 Recalibrated WISE W2 magnitude (W2)
1754-1761 F8.4 mag W2best multivariate maximum posterior
estimate for the WISE W2 magnitude
(W2_best)
1763-1770 F8.4 mag W2max Maximum of the W2 distribution
(W2_max)
1772-1779 F8.4 mag W2min Minimum of the W2 distribution
(W2_min)
1781-1788 F8.4 mag W2p16 16th percentile of the W2
distribution (W2_p16)
1790-1797 F8.4 mag W2p25 25th percentile of the W2
distribution (W2_p25)
1799-1806 F8.4 mag W2med median of the distribution of
WISE W2 magnitude (W2_p50)
1808-1815 F8.4 mag W2p75 75th percentile of the W2
distribution (W2_p75)
1817-1824 F8.4 mag W2p84 84th percentile of the W2
distribution (W2_p84)
1826-1832 F7.4 mag e_W2 Recalibrated error from original
WISE W2 magnitude (W2_sigma) (5)
--------------------------------------------------------------------------------
Note (1): Note that this *cannot* be matched against the DR1 source_id.
Note (2): Parallaxes have been re-calibrated by
G<14: varpi + 0.05 mas
14 ≤ G < 16: varpi + (0.1676 - 0.0084.G) mas
16 ≤ G: varpi + (0.1676 - 0.0084.G) mas
See paper, sect. 2 for details and references.
Note (3): Parallax error estimates have been re-calibrated by
G<11 : 1.2.varpi
11 ≤ G < 15: (0.22.G - 1.22).varpi
15 ≤ G: (exp(15-G) + 1.08).varpi
See paper, sect. 2 for details and references.
Note (4): Gaia BP photometry has been re-calibrated according to the
prescription of Maiz Apellaniz & Weiler (2018A&A...619A.180M 2018A&A...619A.180M,
Cat. J/A+A/619/A180), applying:
the bright BP transmission curve for G < 10.5
the faint BP transmission curve for 10.5 ≤ G
Gaia RP photometry is taken from Gaia DR2 directly (except possibly for
adjusting the error estimate).
See paper, sect. 2 for details and references.
Note (5): Where sources claimed magnitude errors below 0.05mag,
we assumed an error of 0.05mag.
Note (6): Gaia G photometry has been re-calibrated according to the
prescription of Maiz Apellaniz & Weiler (2018A&A...619A.180M 2018A&A...619A.180M,
Cat. J/A+A/619/A180):
G < 6: G + 0.0271.(6 - G)
6 ≤ G < 16: G - 0.0032.(G - 6)
16 ≤ G: G - 0.032
See paper, sect. 2 for details and references.
--------------------------------------------------------------------------------
Acknowledgements:
Morgan Fouesneau, fouesneau(at)mpia.de
(End) Francois-Xavier Pineau, Patricia Vannier [CDS] 19-Jan-2022