Bayestar17 3D Dust Mapping with Pan-STARRS 1prdust.map6ivo://org.gavo.dc/prdust/q/map6The GAVO DC teamGreen, G.M.Schlafly, E.F.Finkbeiner, D.Rix, H.-W.Martin, N.Burgett, W.Draper, P.W.Flewelling, H.Hodapp, K.Kaiser, N.Kudritzki, R.-P.Magnier, E.A.Metcalfe, N.Tonry, J.L.Wainscoat, RWaters, C.2018-03-09T00:00:00ZGAVO Data Center TeamMönchhofstrasse 12-14, D-69120 Heidelberggavo@ari.uni-heidelberg.de++49 6221 54 1837interstellar-extinctioninterstellar-dustgalaxy-structure The HEALPix map for order 6 (nside=64); the pixel scale is about 55'.
In ADQL, all array indices are 1-based.https://dc.zah.uni-heidelberg.de/tableinfo/prdust.map6SurveyResearchPan-STARRS 10/0-2,5-6,9 1/15,17,33,35,42
2/53-55,58-59,76-77,79,122,129,131,137,139,162,172,174-175
3/207,209-211,227,229-231,261,263,313,315,494-495,506-507,509-513,515,521,523,640,642,654-655,694-695
4/821-823,833-835,903,907,913-915,1040-1041,1043,1049,1077,1079,1085,1249,1251,1257,1259,1930-1931,1968,1970-1971,1974-1975,2018-2019,2022-2023,2034-2035,2056-2057,2059,2081,2083,2180-2181,2183,2189,2191,2213,2215,2221,2572,2574-2575,2608,2610-2611,2666-2667,2770
5/3191,3197,3199,3303,3307,3309-3311,3329-3331,3622-3623,3625-3627,3649-3651,4169,4204-4205,4207,4304-4305,4307,4313,4315,4337,4349,4351,4693,4993,4995,5001,5003,5025,5027,5033,5035,7712,7714-7715,7736,7738-7739,7742-7743,7876,7878-7879,7890-7891,7894-7895,8063,8066-8067,8070-8071,8082-8083,8086-8087,8130-8131,8134-8135,8233,8235,8321,8357,8359,8365,8728-8729,8731,8753,8755,8761,8763,8849,8851,8857,8859,8893,10266,10292-10294,10344,10346-10347,10436,10438,10458,10658-10659,10662-10663,10680,10682-10683,11074-11075,11084,11086-11087,11098-11099,11103,11264-11266,11268-11269,11280
6/12757,12759,12787,12793,12795,13133-13135,13203,13206-13207,13209,13211,13233-13235,13313,13315,14429,14431,14439,14445-14447,14479,14487,14497-14499,14593-14595,16469,16471,16673,16684-16685,16687,16773,16805,16824-16825,16827,17172-17173,17224-17225,17227,17249,17357,17393,17401,17403,18769,18771,18780-18781,18783,18805-18807,18813,18815,18901,19968-19969,19971,19977,19979,20001,20009,20011,20097,20099,20105,20107,20137,20139,30760,30762,30854,30874,30878-30879,30950-30951,30962,31146-31147,31150,31508,31510-31511,31554-31555,31558-31559,31571,32238-32239,32249-32251,32515,32518,32530-32531,32534-32535,32928-32929,32931,32939,33293,33295,33425,33427,33469,33471,34837,34839,34845,34869,34920-34921,34923,35009,35011,35017,35019,35041,35043,35049,35051,35393,35395,35401,35403,35525,35527,35569,35580-35581,35583,41034,41056,41058-41059,41068,41070,41083,41180,41182-41183,41382,41402,41758-41759,41802,41824,41826-41827,41830,41836,41838-41839,41850-41851,41854-41855,42624,42626-42627,42642-42643,42646-42647,42698,42726,42746-42747,44290-44291,44314-44315,44318,44340,44342-44343,44385-44388,44390-44391,44410-44411,45068-45070,45084-45085,45088-45090,45092,45124-45125,45128,45136OpticalInfraredprdustBayestar17 3D Dust Mapping with Pan-STARRS 1
A 3D map of interstellar dust reddening, covering three
quarters of the sky (declinations greater than -30 degrees) out to a
distance of several kiloparsecs. The map is based on high-quality stellar
photometry of 800 million stars from Pan-STARRS 1 and 2MASS.
The map is available for five HEALPix levels (6 through 10), published
here as separate tables, map6 through map10. A union of the coverage is
provided as map_union. Use its coverage column to match against other
tables.
See http://argonaut.rc.fas.harvard.edu/ for more details.
prdust.map6 The HEALPix map for order 6 (nside=64); the pixel scale is about 55'.
In ADQL, all array indices are 1-based.74healpixThe healpix (of order 6) of which the extinction data is given. This is in Galactic l, b.pos.healpixintindexedprimarycoverageArea (as order-10-healpix interval) covered by this healpix.phys.angAreaintindexednullableconverged1 if the line-of-sight reddening fit converged, 0 otherwise.meta.codeshortdm_reliable_minMinimum reliable distance modulus.magfloatnullabledm_reliable_maxMaximum reliable distance modulus.magfloatnullablen_starsNumber of stars used to fit the line-of-sight reddening.meta.numberintnullablen_goodThe number of stars in the sightline with good convergence, and which passed a cut on Bayesian evidence (termed "good" stars).meta.numberintnullablen_dwarfsThe number of "good" stars which are inferred to be Main-Sequence stars.meta.numberintnullablegrdiagnosticGelman-Rubin convergence diagnostic in each HEALpix; a HEALpix can be considered good if diagnostic is below 1.2.floatnullablebest_fitThe best-fit (maximum proability density) line-of-sight reddening, in units of SFD-equivalent E(B-V), in each distance bin; the bins are 4 .. 19 mag of distance modulus, spaced 0.5 mags.magphys.absorptionfloatnullablesamples18 samples of E(B-V) in each distance bin drawn from the MCMC chain; the bins are 4 .. 19 mag of distance modulus, spaced 0.5 mags. This information can be used to estimate the reliability of best_fit (e.g., a standard deviation).magphys.absorption;src.samplefloatnullable