Open this tutorial in Google Colab

Query Gaia catalog

The Gaia module combines Gaia data with the Bailer-Jones distance catalog, galactic extinction maps and magnitudes from the Simbad catalog. Simply passing the Gaia ID of one or more targets, the code automatically queries

• the Gaia parallax,

• the Gaia G, BP and RP brightness,

• the Johnson B, V and 2MASS JHK brightness,

and delivers

• the extinction corrected apparent brightness,

• the extinction corrected absolute brightness,

• extinction values in each band,

with the associated upper and lower errorbars.

Note: Both Gaia DR2 and DR3 catalogs can be used. However, there is a subtle difference between them. In case of DR3, the distance are queried from the Bailer-Jones catalog. If DR2 is used, the distances are estimated from the Gaia parallaxes in a probabilistic way as defined by Bailer-Jones+ (2018, AJ, 156, 58).

How to use

from seismolab.gaia import query_gaia

After importing the relevant module, we can pass a list of Gaia DR3 IDs to perform the query and all the calculations.

targets = [1022096392749670016,3107142829863485952]

result_table = query_gaia(targets)

Using Combined19 map from mwdust
Querying Gaia DR3 and BJ catalogs...
Downloading Simbad data for all stars...
Calculating distances, absolute magnitudes...

The result is an Astropy Table.

result_table

Table length=2

Source	ra	dec	parallax	sig_parallax	Gmag	sig_Gmag	BPmag	sig_BPmag	RPmag	sig_RPmag	Bmag	sig_Bmag	Vmag	sig_Vmag	Jmag	sig_Jmag	Hmag	sig_Hmag	Kmag	sig_Kmag	dist	distep	distem	lon_deg	lat_deg	aG	aGep	aGem	MG	MGep	MGem	mG	mGep	mGem	aBP	aBPep	aBPem	MBP	MBPep	MBPem	mBP	mBPep	mBPem	aRP	aRPep	aRPem	MRP	MRPep	MRPem	mRP	mRPep	mRPem	aB	aBep	aBem	MB	MBep	MBem	mB	mBep	mBem	aV	aVep	aVem	MV	MVep	MVem	mV	mVep	mVem	aJ	aJep	aJem	MJ	MJep	MJem	mJ	mJep	mJem	aH	aHep	aHem	MH	MHep	MHem	mH	mHep	mHem	aK	aKep	aKem	MK	MKep	MKem	mK	mKep	mKem
	deg	deg	mas	mas	mag		mag		mag		mag		mag		mag		mag		mag
str21	float64	float64	float64	float32	float32	float64	float32	float64	float32	float64	float32	float32	float32	float32	float32	float32	float32	float32	float32	float32	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64
1022096392749670016	145.93959651092428	55.952388737534136	19.266700572347492	0.01887033	7.7452164	0.007181938969436053	8.088248	0.024051615865364074	7.2756886	0.02388009262163658	8.54	-99.000	7.75	-99.000	6.573	0.029	6.223	0.034	6.184	0.017	51.831443786621094	0.0460662841796875	0.050594329833984375	158.92257837077454	45.90248575416284	0.0	0.0	0.0	4.172249913215637	0.00930267223054404	0.009111341320815036	7.745216369628906	0.007181938969435642	0.007181938969435642	0.0	0.0	0.0	4.515281796455383	0.026172349126472483	0.02598101821674348	8.088248252868652	0.024051615865364084	0.024051615865364084	0.0	0.0	0.0	3.702722191810608	0.026000825882745104	0.0258094949730161	7.275688648223877	0.023880092621636706	0.023880092621636706	0.0	0.0	0.0	4.967033505439758	0.022120733261107972	0.021929402351378968	8.539999961853027	0.019999999999999574	0.019999999999999574	0.0	0.0	0.0	4.177033543586731	0.022120733261107972	0.021929402351378968	7.75	0.019999999999999574	0.019999999999999574	0.0	0.0	0.0	3.0000334978103638	0.03112053871154785	0.030929207801818848	6.572999954223633	0.028999805450439453	0.028999805450439453	0.0	0.0	0.0	2.6500335931777954	0.03612065315246582	0.035929322242736816	6.2230000495910645	0.03399991989135742	0.03399991989135742	0.0	0.0	0.0	2.61103355884552	0.01912093162536621	0.018929600715637207	6.184000015258789	0.017000198364257812	0.017000198364257812
3107142829863485952	101.76822041702867	-1.2075151625364267	0.432227248321794	0.030997224	12.621653	0.0006344411880043353	12.802992	0.0020885144822050884	12.291391	0.0017593474516210648	13.01	0.020	12.72	0.020	11.903	0.023	11.838	0.023	11.8	0.024	2190.859619140625	197.47900390625	151.5408935546875	213.5092718420073	-1.5216790901099373	1.0972506348348021	0.2813463101744822	0.01746006095976571	-0.17867081801656326	0.17374130314264136	0.46938729127948164	11.524401968314612	0.018094502147770086	0.2819807513624877	1.3107321146267983	0.3360851498919084	0.020857096725901858	-0.21081303389254558	0.1785924122029794	0.5255802042911046	11.492259752438631	0.022945611208106342	0.33817366437411245	0.7576583159506094	0.19427135861061418	0.012056279543791626	-0.16933972960112342	0.1694624279902861	0.383437245979227	11.533733056730055	0.013815626995413055	0.1960307060622366	1.5085403078773538	0.3868051982805827	0.024004730459570967	-0.20161286532669465	0.19965198921811478	0.5942121959612479	11.501459921004482	0.04400518822324351	0.4068056560442539	1.1924453025900386	0.305755198782921	0.01897485133607879	-0.17551782189240583	0.19462211009462393	0.5131621964635862	11.527554964438771	0.03897530909974911	0.325755656546594	0.3091529886603355	0.07926999527513978	0.0049194139028371775	-0.10922589706182606	0.1835659783864827	0.2896762986808987	11.593846889269352	0.027919177391606098	0.10226975876391009	0.18290999329090118	0.04689999720454216	0.00291056530898276	-0.047982482075692445	0.18155712979262617	0.2573063006103027	11.655090304255486	0.025910328797751347	0.06989976069331227	0.11801399567127227	0.030259998196363436	0.001877904184431095	-0.021086591267586385	0.1815248730259853	0.2416667059600357	11.68198619506359	0.025878072031112254	0.054260166043041735

The columns are named according to the followings:

• Source: Gaia DR3 (or DR2) ID

• ra, dec: equatorial coordinates in deg

• parallax, sig_parallax: parallax and its error in mas

• <filter>mag: observed magnitude in given filter

• sig_<filter>mag: observed magnitude error in given filter

• dist: distance in pc

• distep: upper distance errorbar in pc

• distem: lower distance errorbar in pc

• lon_deg, lat_deg: galactic coordinates in deg

• a<filter>: extinction in given filter

• a<filter>ep: upper extinction errorbar in given filter

• a<filter>em: lower extinction errorbar in given filter

• M<filter>: extinction corrected absolute magnitude in given filter

• M<filter>ep: upper absolute magnitude errorbar in given filter

• M<filter>em: lower absolute magnitude errorbar in given filter

• m<filter>: extinction corrected apparent magnitude in given filter

• m<filter>ep: upper apparent magnitude errorbar in given filter

• m<filter>em: lower apparent magnitude errorbar in given filter

Using photodistances

The Bailer-Jones catalog contains two kinds of distances. By default, the geometric ones are returned, but there is an option to use the photodistances instead.

result_table = query_gaia(targets,use_photodist=True)

Using Combined19 map from mwdust
Querying Gaia DR3 and BJ catalogs...
Downloading Simbad data for all stars...
Calculating distances, absolute magnitudes...

result_table

Table length=2

Source	ra	dec	parallax	sig_parallax	Gmag	sig_Gmag	BPmag	sig_BPmag	RPmag	sig_RPmag	Bmag	sig_Bmag	Vmag	sig_Vmag	Jmag	sig_Jmag	Hmag	sig_Hmag	Kmag	sig_Kmag	dist	distep	distem	lon_deg	lat_deg	aG	aGep	aGem	MG	MGep	MGem	mG	mGep	mGem	aBP	aBPep	aBPem	MBP	MBPep	MBPem	mBP	mBPep	mBPem	aRP	aRPep	aRPem	MRP	MRPep	MRPem	mRP	mRPep	mRPem	aB	aBep	aBem	MB	MBep	MBem	mB	mBep	mBem	aV	aVep	aVem	MV	MVep	MVem	mV	mVep	mVem	aJ	aJep	aJem	MJ	MJep	MJem	mJ	mJep	mJem	aH	aHep	aHem	MH	MHep	MHem	mH	mHep	mHem	aK	aKep	aKem	MK	MKep	MKem	mK	mKep	mKem
	deg	deg	mas	mas	mag		mag		mag		mag		mag		mag		mag		mag
str21	float64	float64	float64	float32	float32	float64	float32	float64	float32	float64	float32	float32	float32	float32	float32	float32	float32	float32	float32	float32	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64
1022096392749670016	145.93959651092428	55.952388737534136	19.266700572347492	0.01887033	7.7452164	0.007181938969436053	8.088248	0.024051615865364074	7.2756886	0.02388009262163658	8.54	-99.000	7.75	-99.000	6.573	0.029	6.223	0.034	6.184	0.017	51.826133728027344	0.040660858154296875	0.044971466064453125	158.92257837077454	45.90248575416284	0.0	0.0	0.0	4.172472238540649	0.009067233883681247	0.008884843670668552	7.745216369628906	0.007181938969435642	0.007181938969435642	0.0	0.0	0.0	4.5155041217803955	0.02593691077960969	0.025754520566596995	8.088248252868652	0.024051615865364084	0.024051615865364084	0.0	0.0	0.0	3.70294451713562	0.02576538753588231	0.025582997322869616	7.275688648223877	0.023880092621636706	0.023880092621636706	0.0	0.0	0.0	4.9672558307647705	0.02188529491424518	0.021702904701232484	8.539999961853027	0.019999999999999574	0.019999999999999574	0.0	0.0	0.0	4.177255868911743	0.02188529491424518	0.021702904701232484	7.75	0.019999999999999574	0.019999999999999574	0.0	0.0	0.0	3.000255823135376	0.03088510036468506	0.030702710151672363	6.572999954223633	0.028999805450439453	0.028999805450439453	0.0	0.0	0.0	2.6502559185028076	0.03588521480560303	0.03570282459259033	6.2230000495910645	0.03399991989135742	0.03399991989135742	0.0	0.0	0.0	2.6112558841705322	0.018885493278503418	0.018703103065490723	6.184000015258789	0.017000198364257812	0.017000198364257812
3107142829863485952	101.76822041702867	-1.2075151625364267	0.432227248321794	0.030997224	12.621653	0.0006344411880043353	12.802992	0.0020885144822050884	12.291391	0.0017593474516210648	13.01	0.020	12.72	0.020	11.903	0.023	11.838	0.023	11.8	0.024	2193.359375	145.941162109375	138.426025390625	213.5092718420073	-1.5216790901099373	1.0972506348348021	0.2147918691552715	0.01373223426890191	-0.181146794960533	0.15592651470556262	0.3553076827950612	11.524401968314612	0.014366675456907174	0.2154263103432772	1.3107321146267983	0.25658185279147117	0.01640398272773691	-0.2132890108365153	0.16005233645859995	0.3985517397254572	11.492259752438631	0.018492497209942726	0.25867036727367676	0.7576583159506094	0.14831510750373622	0.009482192272307954	-0.17181570654509315	0.15280137897258683	0.28995582740713743	11.533733056730055	0.01124153972392783	0.15007445495535698	1.5085403078773538	0.2953037183467466	0.018879577968958783	-0.20408884227066437	0.180439874981289	0.45518554856220206	11.501459921004482	0.03888003573262999	0.31530417611041806	1.1924453025900386	0.23342666413430613	0.014923607905210634	-0.17799379883637556	0.1764839049175393	0.39330849434976045	11.527554964438771	0.034924065668882065	0.2534271218979782	0.3091529886603355	0.06051812246095384	0.0038690898236336535	-0.11170187400579579	0.1684286925610614	0.22339925840150343	11.593846889269352	0.026868853312402408	0.08351788594972298	0.18290999329090118	0.03580547424522185	0.002289142332892874	-0.05045845901966217	0.16684874507032177	0.19868661018577072	11.655090304255486	0.02528890582166099	0.058805237733992044	0.11801399567127227	0.02310178359617085	0.0014769604902630795	-0.023562568211556112	0.16703696758560227	0.18698332389463346	11.68198619506359	0.025477128336943267	0.047101951442849455

Querying DR2 catalog

If DR2 catalog is queried, then Gaia DR2 IDs must be passed.

result_table_dr2 = query_gaia(targets,gaiaDR=2)

Using Combined19 map from mwdust
Querying Gaia DR2 catalog...
Downloading Simbad data for all stars...
Calculating distances, absolute magnitudes...

The result is an Astropy Table with distance probabilistically estimated from parallaxes.

result_table_dr2

Table length=2

Source	ra	dec	parallax	sig_parallax	Gmag	sig_Gmag	BPmag	sig_BPmag	RPmag	sig_RPmag	Bmag	sig_Bmag	Vmag	sig_Vmag	Jmag	sig_Jmag	Hmag	sig_Hmag	Kmag	sig_Kmag	dist	distep	distem	lon_deg	lat_deg	aG	aGep	aGem	MG	MGep	MGem	mG	mGep	mGem	aBP	aBPep	aBPem	MBP	MBPep	MBPem	mBP	mBPep	mBPem	aRP	aRPep	aRPem	MRP	MRPep	MRPem	mRP	mRPep	mRPem	aB	aBep	aBem	MB	MBep	MBem	mB	mBep	mBem	aV	aVep	aVem	MV	MVep	MVem	mV	mVep	mVem	aJ	aJep	aJem	MJ	MJep	MJem	mJ	mJep	mJem	aH	aHep	aHem	MH	MHep	MHem	mH	mHep	mHem	aK	aKep	aKem	MK	MKep	MKem	mK	mKep	mKem
	deg	deg	mas	mas	mag		mag		mag		mag		mag		mag		mag		mag
str21	float64	float64	float64	float64	float32	float64	float32	float64	float32	float64	float32	float32	float32	float32	float32	float32	float32	float32	float32	float32	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64
1022096392749670016	145.93959226288555	55.95239269960827	19.277532306604552	0.03343194611367065	7.7937016	0.012570032498626791	8.1552515	0.038804118205489575	7.367436	0.03560460850334358	8.54	-99.000	7.75	-99.000	6.573	0.029	6.223	0.034	6.184	0.017	51.87414874148742	0.0891440914409074	0.08908409084090607	158.9225742720827	45.902482118266626	0.0	0.0	0.0	4.2188973476900475	0.013046969776703499	0.013010926166682424	7.793674517138414	0.012492582713060862	0.012492948098652867	0.0	0.0	0.0	4.580228054832856	0.03885830393406131	0.03852396343961306	8.155167746899021	0.038565028081066544	0.03856615603882929	0.0	0.0	0.0	3.79242611742484	0.035703094077422115	0.035385582689146045	7.367359081995247	0.03538523203840338	0.03538626699284464	0.0	0.0	0.0	4.965118069467221	0.020282138388814985	0.02018711115041416	8.539956793191774	0.019876770747291772	0.019877352107114277	0.0	0.0	0.0	4.175118107614193	0.020282138388814985	0.02018711115041416	7.749956831338746	0.01987677074729266	0.01987735210711339	0.0	0.0	0.0	2.998025292249327	0.0291551561762855	0.028906115384708997	6.572937359666616	0.028821316754251036	0.02882215972596658	0.0	0.0	0.0	2.648006946167431	0.03411431133917109	0.03382855899612647	6.222926662862945	0.033790512106756765	0.03379150041850654	0.0	0.0	0.0	2.609154383087451	0.017350237770220378	0.017266900610069413	6.18396332189473	0.016895256053377494	0.016895750209253713
3107142829863485952	101.76822078135328	-1.207515192087555	0.2784408581785764	0.07150647466161306	12.631575	0.0009382113738554969	12.801229	0.0038396854144956893	12.298964	0.002020975902707495	13.01	0.020	12.72	0.020	11.903	0.023	11.838	0.023	11.8	0.024	3832.632796327963	1205.1134011340114	781.2820460204603	213.50927203436055	-1.521678779347881	1.7696987325866222	0.4122728676707361	0.2407382729227452	-2.0556418277891266	0.7348429400105714	1.005430029894729	10.861819577586186	0.2396506499506046	0.4117372038317537	2.1140119571358085	0.49248482569953156	0.2875763982466415	-2.2304442769199397	0.7812866080966312	1.0848303808647772	10.687120093832506	0.28631905727537976	0.49173506812071466	1.221987865765398	0.2846769522977459	0.1662312589821069	-1.8407000304353147	0.660724716880748	0.8775676772207697	11.07694807645693	0.16551958658712707	0.28428683795836207	2.4330465493950886	0.5668078185428684	0.3309757833108171	-2.341223028975283	0.8260060572224985	1.1580442280453713	10.57684229168457	0.3304529423714726	0.5664240439997599	1.923233282968368	0.44804061062430733	0.2616241117450673	-2.1210607288462935	0.7566343652693712	1.0398941209468324	10.796809821669349	0.2612950590289671	0.4473505455900977	0.4986168472711183	0.11615886574826562	0.06782858373119044	-1.5138191409378114	0.5639251848339407	0.7078604952534233	11.404163447704212	0.07020757389433818	0.11018300235435596	0.2950060569826599	0.0687252529783482	0.04013069984852824	-1.3751904042616552	0.5365573045018889	0.6604500211164646	11.541188201068914	0.0460037103824984	0.06204263123418663	0.19033866277815115	0.044341709064495	0.025892430222099444	-1.3084410644785818	0.5224782172061465	0.636526800950777	11.607118544052254	0.03606880692052172	0.04095751794617364

Extinction correction

The extinction correction is done using the mwdust galactic dust maps. Given the coordinates and the distance of a target, mwdust returns the \(E(B-V)\) color excess. From this, the \(A_{\lambda}\) extinction coefficient can be calculated using the extinction vector \(R_{\lambda}\):

\[A_{\lambda} = R_{\lambda} \times E(B-V) ,\]

where \(\lambda\) denotes the passband.

The values of the extinction vector are from Green+ (2019), whose results are based on Schlafly+ (2016). Since not all filters are available, Huber+ (2017) interpolated Cardelli+ (1989) extinction law to get extinction in e.g., the Gaia passbands, too.

Passband	\(R_{\lambda}\)
Johnson-Cousins B	3.8681
Johnson-Cousins V	3.0576
Tycho B\(_{\rm T}\)	3.9958
Tycho V\(_{\rm T}\)	3.1870
SDSS u	4.5890
SDSS g	3.6134
SDSS r	2.6198
SDSS i	1.9872
SDSS z	1.4617
2MASS J	0.7927
2MASS H	0.4690
2MASS K	0.3026
Gaia G	2.8135
Gaia BP	3.3609
Gaia RP	1.9427

Selecting the dust map

There are several dust maps implemented in mwdust (see here). By default the Combined19 map is used, however any other available map can also be selected. E.g. changing the map to Green19 can be done by passing the name of the map to dustmodel.

Note: the desired dust map might be downloaded beforehand.

Note: if the distance of the star is too large and the color excess falls outside the reliable range of the given dust map, no warning is given!

result_table = query_gaia(targets,dustmodel='Green19')

Using Green19 map from mwdust
Querying Gaia DR3 and BJ catalogs...
Downloading Simbad data for all stars...
Calculating distances, absolute magnitudes...

result_table

Table length=2

Source	ra	dec	parallax	sig_parallax	Gmag	sig_Gmag	BPmag	sig_BPmag	RPmag	sig_RPmag	Bmag	sig_Bmag	Vmag	sig_Vmag	Jmag	sig_Jmag	Hmag	sig_Hmag	Kmag	sig_Kmag	dist	distep	distem	lon_deg	lat_deg	aG	aGep	aGem	MG	MGep	MGem	mG	mGep	mGem	aBP	aBPep	aBPem	MBP	MBPep	MBPem	mBP	mBPep	mBPem	aRP	aRPep	aRPem	MRP	MRPep	MRPem	mRP	mRPep	mRPem	aB	aBep	aBem	MB	MBep	MBem	mB	mBep	mBem	aV	aVep	aVem	MV	MVep	MVem	mV	mVep	mVem	aJ	aJep	aJem	MJ	MJep	MJem	mJ	mJep	mJem	aH	aHep	aHem	MH	MHep	MHem	mH	mHep	mHem	aK	aKep	aKem	MK	MKep	MKem	mK	mKep	mKem
	deg	deg	mas	mas	mag		mag		mag		mag		mag		mag		mag		mag
str21	float64	float64	float64	float32	float32	float64	float32	float64	float32	float64	float32	float32	float32	float32	float32	float32	float32	float32	float32	float32	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64
1022096392749670016	145.93959651092428	55.952388737534136	19.266700572347492	0.01887033	7.7452164	0.007181938969436053	8.088248	0.024051615865364074	7.2756886	0.02388009262163658	8.54	-99.000	7.75	-99.000	6.573	0.029	6.223	0.034	6.184	0.017	51.831443786621094	0.0460662841796875	0.050594329833984375	158.92257837077454	45.90248575416284	0.0	0.0	0.0	4.172249913215637	0.00930267223054404	0.009111341320815036	7.745216369628906	0.007181938969435642	0.007181938969435642	0.0	0.0	0.0	4.515281796455383	0.026172349126472483	0.02598101821674348	8.088248252868652	0.024051615865364084	0.024051615865364084	0.0	0.0	0.0	3.702722191810608	0.026000825882745104	0.0258094949730161	7.275688648223877	0.023880092621636706	0.023880092621636706	0.0	0.0	0.0	4.967033505439758	0.022120733261107972	0.021929402351378968	8.539999961853027	0.019999999999999574	0.019999999999999574	0.0	0.0	0.0	4.177033543586731	0.022120733261107972	0.021929402351378968	7.75	0.019999999999999574	0.019999999999999574	0.0	0.0	0.0	3.0000334978103638	0.03112053871154785	0.030929207801818848	6.572999954223633	0.028999805450439453	0.028999805450439453	0.0	0.0	0.0	2.6500335931777954	0.03612065315246582	0.035929322242736816	6.2230000495910645	0.03399991989135742	0.03399991989135742	0.0	0.0	0.0	2.61103355884552	0.01912093162536621	0.018929600715637207	6.184000015258789	0.017000198364257812	0.017000198364257812
3107142829863485952	101.76822041702867	-1.2075151625364267	0.432227248321794	0.030997224	12.621653	0.0006344411880043353	12.802992	0.0020885144822050884	12.291391	0.0017593474516210648	13.01	0.020	12.72	0.020	11.903	0.023	11.838	0.023	11.8	0.024	2190.859619140625	197.47900390625	151.5408935546875	213.5092718420073	-1.5216790901099373	1.0972506348348021	0.2813463101744822	0.01746006095976571	-0.17867081801656326	0.17374130314264136	0.46938729127948164	11.524401968314612	0.018094502147770086	0.2819807513624877	1.3107321146267983	0.3360851498919084	0.020857096725901858	-0.21081303389254558	0.1785924122029794	0.5255802042911046	11.492259752438631	0.022945611208106342	0.33817366437411245	0.7576583159506094	0.19427135861061418	0.012056279543791626	-0.16933972960112342	0.1694624279902861	0.383437245979227	11.533733056730055	0.013815626995413055	0.1960307060622366	1.5085403078773538	0.3868051982805827	0.024004730459570967	-0.20161286532669465	0.19965198921811478	0.5942121959612479	11.501459921004482	0.04400518822324351	0.4068056560442539	1.1924453025900386	0.305755198782921	0.01897485133607879	-0.17551782189240583	0.19462211009462393	0.5131621964635862	11.527554964438771	0.03897530909974911	0.325755656546594	0.3091529886603355	0.07926999527513978	0.0049194139028371775	-0.10922589706182606	0.1835659783864827	0.2896762986808987	11.593846889269352	0.027919177391606098	0.10226975876391009	0.18290999329090118	0.04689999720454216	0.00291056530898276	-0.047982482075692445	0.18155712979262617	0.2573063006103027	11.655090304255486	0.025910328797751347	0.06989976069331227	0.11801399567127227	0.030259998196363436	0.001877904184431095	-0.021086591267586385	0.1815248730259853	0.2416667059600357	11.68198619506359	0.025878072031112254	0.054260166043041735

Setting the parallax offset in Gaia DR2

A parallax offset can be given if the Gaia DR2 catalog is used. There are four predefined options, which can be selected:

• Stassun : +0.08 mas (Stassun et al. 2018)

• Riess : +0.046 mas (Riess et al. 2018)

• BJ : +0.029 mas (Bailer-Jones et al. 2018)

• Zinn : +0.0528 mas (Zinn et al 2019)

or simply an offset in mas can be passed.

result_table = query_gaia(targets,gaiaDR=2,plx_offset='Stassun')

Using Combined19 map from mwdust
Querying Gaia DR2 catalog...
Downloading Simbad data for all stars...
Calculating distances, absolute magnitudes...

result_table

Table length=2

Source	ra	dec	parallax	sig_parallax	Gmag	sig_Gmag	BPmag	sig_BPmag	RPmag	sig_RPmag	Bmag	sig_Bmag	Vmag	sig_Vmag	Jmag	sig_Jmag	Hmag	sig_Hmag	Kmag	sig_Kmag	dist	distep	distem	lon_deg	lat_deg	aG	aGep	aGem	MG	MGep	MGem	mG	mGep	mGem	aBP	aBPep	aBPem	MBP	MBPep	MBPem	mBP	mBPep	mBPem	aRP	aRPep	aRPem	MRP	MRPep	MRPem	mRP	mRPep	mRPem	aB	aBep	aBem	MB	MBep	MBem	mB	mBep	mBem	aV	aVep	aVem	MV	MVep	MVem	mV	mVep	mVem	aJ	aJep	aJem	MJ	MJep	MJem	mJ	mJep	mJem	aH	aHep	aHem	MH	MHep	MHem	mH	mHep	mHem	aK	aKep	aKem	MK	MKep	MKem	mK	mKep	mKem
	deg	deg	mas	mas	mag		mag		mag		mag		mag		mag		mag		mag
str21	float64	float64	float64	float64	float32	float64	float32	float64	float32	float64	float32	float32	float32	float32	float32	float32	float32	float32	float32	float32	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64
1022096392749670016	145.93959226288555	55.95239269960827	19.277532306604552	0.03343194611367065	7.7937016	0.012570032498626791	8.1552515	0.038804118205489575	7.367436	0.03560460850334358	8.54	-99.000	7.75	-99.000	6.573	0.029	6.223	0.034	6.184	0.017	51.65976659766598	0.08840408404083888	0.08836088360883565	158.9225742720827	45.902482118266626	0.0	0.0	0.0	4.227894182210269	0.013030806596175282	0.013012296249788946	7.793674517138414	0.012492582713060862	0.012492948098652867	0.0	0.0	0.0	4.589225743008126	0.03885348450892767	0.038518885345538934	8.155167746899021	0.038565028081066544	0.03856615603882929	0.0	0.0	0.0	3.8014235319409115	0.0356994466157885	0.035379920733777936	7.367359081995247	0.03538523203840338	0.03538626699284464	0.0	0.0	0.0	4.974106774584016	0.020284509688115904	0.02017683465475084	8.539956793191774	0.019876770747291772	0.019877352107114277	0.0	0.0	0.0	4.184106812730989	0.020284509688115904	0.020176834654749953	7.749956831338746	0.01987677074729266	0.01987735210711339	0.0	0.0	0.0	3.0070175491396705	0.029152333025087795	0.028905708755822435	6.572937359666616	0.028821316754251036	0.02882215972596658	0.0	0.0	0.0	2.657003097080757	0.03411146917043251	0.033822337191342644	6.222926662862945	0.033790512106756765	0.03379150041850654	0.0	0.0	0.0	2.618143657011534	0.017349068044365534	0.017264308333109213	6.18396332189473	0.016895256053377494	0.016895750209253713
3107142829863485952	101.76822078135328	-1.207515192087555	0.2784408581785764	0.07150647466161306	12.631575	0.0009382113738554969	12.801229	0.0038396854144956893	12.298964	0.002020975902707495	13.01	0.020	12.72	0.020	11.903	0.023	11.838	0.023	11.8	0.024	3002.1165711657113	774.5859362593628	522.2633730337302	213.50927203436055	-1.521678779347881	1.5100084833778324	0.25507143021589407	0.12459642264064508	-1.2656104946923428	0.5395534174390507	0.7529658084015112	11.121501819021775	0.12454852596685662	0.2545465746165796	1.8037962792522915	0.3046982197992494	0.1488379476283419	-1.3899511901198425	0.5640108325645211	0.8018706177346147	10.997197477331621	0.14910453299335913	0.30397998389938685	1.0426701505252982	0.17612839230080168	0.08603459661301027	-1.1310405663542102	0.501124140111731	0.6737948142508945	11.256183914643884	0.08614492686314534	0.1756999121809386	2.0760148958630262	0.3506815322340038	0.17129971931985621	-1.4539404226702475	0.5876219169390448	0.846843200061425	10.933519197228057	0.1787145637530454	0.3499675195094909	1.6410129697907134	0.2772007772241196	0.13540609062370623	-1.3088457606127673	0.5518162109318188	0.7734214697422517	11.078628340896056	0.14390704523226105	0.27653484999551914	0.4254484989284154	0.07186698505303862	0.03510533984930536	-0.9102087710381221	0.4520845836516781	0.569190509840144	11.474485679809568	0.051401608033915025	0.0713974068981944	0.2517160918347759	0.04252001512536285	0.02077003202891914	-0.801418271485054	0.43770573970390164	0.540009223337885	11.582862594722375	0.03807573774171402	0.04519717967328418	0.1624078665014993	0.027434022552099785	0.01340087780799773	-0.7499423187758572	0.4302515050169671	0.5254692066140176	11.634510862371974	0.03170678733197008	0.03456370625147187