Spectrophotometric parallaxes with linear models J/AJ/158/147 ivo://CDS.VizieR/J/AJ/158/147 doi:10.26093/cds/vizier.51580147 CDS Hogg D.W. Eilers A.-C. Rix H.-W. 2022-01-07T11:19:14Z 2019-11-28T11:19:44Z CDS support team CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France cds-question@unistra.fr milky-way-galaxy giant-stars visible-astronomy trigonometric-parallax astronomical-models parallax spectroscopy With contemporary infrared spectroscopic surveys like APO Galactic Evolution Experiment (APOGEE), red-giant stars can be observed to distances and extinctions at which Gaia parallaxes are not highly informative. Yet the combination of effective temperature, surface gravity, composition, and age-all accessible through spectroscopy - determines a giant's luminosity. Therefore spectroscopy plus photometry should enable precise spectrophotometric distance estimates. Here we use the overlap of APOGEE, Gaia, the Two Micron All Sky Survey (2MASS), and the Wide-field Infrared Survey Explorer (WISE) to train a data-driven model to predict parallaxes for red-giant branch stars with 0<logg=<2.2 (more luminous than the red clump). We employ (the exponentiation of) a linear function of APOGEE spectral pixel intensities and multiband photometry to predict parallax spectrophotometrically. The model training involves no logarithms or inverses of the Gaia parallaxes, and needs no cut on the Gaia parallax signal-to-noise ratio. It includes an L1 regularization to zero out the contributions of uninformative pixels. The training is performed with leave-out subsamples such that no star's astrometry is used even indirectly in its spectrophotometric parallax estimate. The model implicitly performs a reddening and extinction correction in its parallax prediction, without any explicit dust model. We assign to each star in the sample a new spectrophotometric parallax estimate; these parallaxes have uncertainties of less than 15%, depending on data quality, which is more precise than the Gaia parallax for the vast majority of targets, and certainly any stars more than a few kiloparsec distance. We obtain 10% distance estimates out to heliocentric distances of 20 kpc, and make global maps of the Milky Way's disk. 2019AJ....158..147H https://cdsarc.cds.unistra.fr/viz-bin/cat/J/AJ/158/147 Catalog Research IsServedBy TAP VizieR generic service IsServedBy Conesearch service related-to II/246 : 2MASS All-Sky Catalog of Point Sources (Cutri+ 2003) VII/233 : The 2MASS Extended sources (IPAC/UMass, 2003-2006) I/337 : Gaia DR1 (Gaia Collaboration, 2016) I/345 : Gaia DR2 (Gaia Collaboration, 2018) I/347 : Distances to 1.33 billion stars in Gaia DR2 (Bailer-Jones+, 2018) J/AJ/151/144 : ASPCAP weights for the 15 APOGEE chemical elements https://cds.unistra.fr/vizier-org/licences_vizier.html https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/AJ/158/147 https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/AJ/158/147 http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/AJ/158/147 https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/AJ/158/147 https://vizier.iucaa.in/viz-bin/votable?-source=J/AJ/158/147 http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/AJ/158/147 GET text/xml+votable https://tapvizier.cds.unistra.fr/TAPVizieR/tap Cone search capability for table J/AJ/158/147/table1 (The generated spectrophotometric parallaxes and their uncertainties) https://vizier.cds.unistra.fr/viz-bin/conesearch/J/AJ/158/147/table1? https://vizier.iucaa.in/viz-bin/conesearch/J/AJ/158/147/table1? http://vizieridia.saao.ac.za/viz-bin/conesearch/J/AJ/158/147/table1? 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23792 23794-23795 23804 23806-23807 23814 23816 23822-23823 23838-23839 23848 23852-23853 23855-23856 23858 23864 23866 23869-23871 23873 23882 23904 23906 23918 23940-23941 23943 23949 23952-23954 23957 23959 23962-23963 23966 23972 23974-23975 23980-23982 23988 23990-23991 23993 23995-23996 23998-23999 24004 24017-24020 24022-24023 24032-24033 24036-24038 24042 24060-24061 24063 24069 24071 24084-24086 24092 24094-24095 24112-24113 24115 24124 24132 24134 24144-24145 24147-24148 24150-24151 24153 24155 24222-24223 24253 24266-24267 24274 24277 24279 24292-24293 24295-24296 24304-24306 24317 24319 24321 24323 24328-24329 24348 24350-24351 24354 24360 24362 24364-24365 24367-24368 24370-24373 24375-24378 24381 24383-24384 24386 24394-24395 24416-24418 24426-24427 24429-24431 24434-24435 24438 24444 24446 24448 24450-24451 24455 24461 24463 24469-24473 24480-24481 24483 24487-24489 24491-24494 24500 24502 24508 24510 24516 24518 24521-24524 24526 24528-24529 24532 24548-24550 24554-24555 25207 25213 25327 25336 25338-25339 25345-25347 25350 25352-25353 25356 25358 25378-25379 25388 25391 25406 25429 25477 25589 25595 25597 25605 25607 25616-25618 25624-25625 25843 25852 25854-25855 25861 25876 25878 25880-25881 25884 26012 26014-26017 26019 26025 26028-26029 26058 26061 26063 26078 26080-26082 26085 26100 26116 26118 26120-26121 26124 26164 26166 26168-26169 26172-26173 26176 26178-26179 26182 26188 26190 26193 26196 26243 26249 26258 26264 26266-26267 26272 26274-26277 26290 26551 26557 26559 26596 26598 26604 26606-26607 26653 26655 26677 26679 26693 26695 26698-26699 26702 26704-26706 26708 26724 26839 26890-26891 26894 26916 26918 26921 26924 26940-26941 26943 26962-26964 26966-26969 26971 26984 26987 26996-26997 27003 27006-27007 27014 27016-27017 27021 27029 27033 27035 27045 27056 27072-27073 27088-27089 27091 27121-27123 27125-27127 27129 27132-27134 27168 27170 27176 27227-27228 27231 27402 27426 27483 27505 27508-27509 27605 27607 27628-27629 27632-27634 27636 27641-27644 27658 27667-27668 27670-27671 27673 27675 27714 27859 27869 27889-27894 27897 27905 27907 27913 27916-27917 27922 27928 27968-27969 27980-27981 27984 27986 27992 28032-28034 28064 28066-28067 28123 28125-28127 28139 28142 28168 28170 28192 28202-28203 28241 28252-28253 28271 28286 28289-28292 28296-28297 28299-28300 28302 28317-28318 28321 28323 28329 28332-28334 28338 28341 28343 28355-28356 28358-28361 28364-28365 28368-28370 28416 28463 28480-28481 28483-28484 28486 28545 28560 28618-28619 28622 28630-28631 28633 28637 28644 28646 28648-28649 28727 28733 28735 28764-28765 28770 28774-28775 28792 28794 28813 28815 28819 28824 28826-28829 28831 28837-28839 28843 28872-28874 28896 28898-28900 28903 28912 28914 28928-28929 28932 28941 28943 28952 29066-29067 29070-29071 29088-29089 29097-29099 29154-29155 29158 29178-29179 29181-29185 29187 29196 29199-29201 29203 29212-29213 29221 29230-29233 29242 29252 29254-29257 29259 29265 29268-29269 29274 29284-29285 29287 29296 29298-29299 29308 29328 29336 29345 29440-29441 29443 29453 29464-29465 29516-29518 29521-29523 29540-29541 29561 29621-29623 29629 29631-29633 29635-29638 29670 29676 29692 29694-29695 29735 29746 29828-29829 29840-29841 29845 29847 29864 29866-29867 29870-29871 29882-29885 29887 29892 29894 29896-29898 29900-29901 29903 29906-29907 29916 29918 29928-29930 29936-29937 29940 29951 30029 30031 30034-30035 30044 30046 30064-30065 30068 30122 30141 30143 30178 30190-30191 30202-30203 30216-30217 30219 30233-30234 30236-30237 30239 30241-30242 30254 30260 30263-30265 30267-30270 30272 30274 30280 30299 30301-30303 30307 30310 30316 30319 30321 30323 30331-30334 30345 30349 30356 30358 30364 30380-30381 30383 30389 30391-30394 30397 30401 30404-30405 30410 30415-30416 30420-30421 30423 30426-30427 30436-30438 30440-30441 30444 30452 30454 30456-30457 30472-30474 30485 30496 30498 30515 30524-30525 30527-30530 30532-30533 30535 30548 30550 30552-30553 30556 30560 30562-30563 30568 30617-30621 30640-30641 30643-30646 30667 30670 30675 30678-30679 30681 30683 30689-30694 30696-30697 30700-30701 30707 30709-30710 30746-30747 30757 30759 30765 30772 30774 30776-30777 30780 30880-30881 30883-30886 30966-30967 31056-31057 31059-31062 31106-31107 31113-31116 31118 31137-31138 31317 31369-31372 31374-31375 31392-31393 31395 31404-31405 31407 31414 31420 31422 31445-31447 31453 31488 31577-31579 31600-31601 31603 31618 31624-31625 31627 31745 31747 31753 31762 31768-31769 31771 31793 31796-31797 31799 31816 31818 31840 32005-32007 32012-32013 32029 32031 32041-32043 32053 32066 32071 32082-32083 32086 32092 32094 32096-32098 32100 32112-32113 32128-32129 32131 32144-32145 32147 32153 32155 32194 32200 32457 32460-32461 32463-32464 32466 32472 32478-32479 32497 32499 32505 32508-32509 32511 32672 32674 32680 32686 32699 32746-32747 36349 36447 36526 36530 36536 36611 36618 36620 36651 36655 36737 36743 36772 36774 36780 36784 36786 39915 39918-39919 39927 39933 39935 40610 40627 40633 40655 40666-40667 40670 40674 40677 40679-40680 40694 40696-40697 40737 40739 40742 40798 40817 40819 40828-40829 44719 44730-44731 44957 44959 44980-44981 44986 45000 45002-45003 45024-45026 47869 47871 48036 48038-48039 48056 48058 49143 49149 https://cdsarc.cds.unistra.fr/viz-bin/moc/J/AJ/158/147?format=ascii Optical default J/AJ/158/147/table1 The generated spectrophotometric parallaxes and their uncertainties SimbadName Simbad column added by the CDS meta.id char nullable Sample [AB] Sample (sample) (2) src.sample char recno Record number assigned by the VizieR team. Should Not be used for identification. meta.record int 2MASS 2MASS identifier (2MHHMMSSss+DDMMSSs) (2MASS_ID) meta.id;meta.main char Plx [-4.8958/14.4807]? Gaia parallax (Gaia_parallax) mas pos.parallax float nullable e_Plx [0.0106/1.022]? Uncertainty in Plx (Gaia_parallax_err) mas stat.error;pos.parallax float nullable Plxsp [0.0153/2.0165] Spectrophotometric parallax estimate (spec_parallax) mas pos.parallax.spect float e_Plxsp [0.0015/5.2148] Uncertainty in Plxsp (spec_parallax_err) mas stat.error float Set [0/1]? Training set (training_set) (1) meta.code int nullable _RA Positions from 2MASS names (right ascension part) deg pos.eq.ra;meta.main indexed _DE Positions from 2MASS names (declination part) deg pos.eq.dec;meta.main indexed