J/MNRAS/455/370ivo://CDS.VizieR/J/MNRAS/455/370doi:10.26093/cds/vizier.74550370CDSEllison S.L.Teimoorinia H.Rosario D.J.Trevor Mendel J.2024-08-15T20:16:59Z2016-10-06T13:53:29ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.frgalaxiesinfrared-sourcesredshiftedThe total infrared (IR) luminosity (L_IR_) can be used as a robust measure of a galaxy's star formation rate (SFR), even in the presence of an active galactic nucleus (AGN), or when optical emission lines are weak. Unfortunately, existing all sky far-IR surveys, such as the Infrared Astronomical Satellite (IRAS) and AKARI, are relatively shallow and are biased towards the highest SFR galaxies and lowest redshifts. More sensitive surveys with the Herschel Space Observatory are limited to much smaller areas. In order to construct a large sample of L_IR_ measurements for galaxies in the nearby Universe, we employ artificial neural networks (ANNs), using 1136 galaxies in the Herschel Stripe 82 sample as the training set. The networks are validated using two independent data sets (IRAS and AKARI) and demonstrated to predict the L_IR_ with a scatter {sigma}~0.23dex, and with no systematic offset. Importantly, the ANN performs well for both star-forming galaxies and those with an AGN. A public catalogue is presented with our L_IR_ predictions which can be used to determine SFRs for 331926 galaxies in the Sloan Digital Sky Survey (SDSS), including ~129000 SFRs for AGN-dominated galaxies for which SDSS SFRs have large uncertainties.2016MNRAS.455..370Ehttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/455/370CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/455/370https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/455/370http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/455/370https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/455/370https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/455/370http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/455/370GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/455/370/table2 (Catalogue of artificial neural networks (ANN) predicted LIR for SDSS galaxies)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/455/370/table2?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/455/370/table2?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/455/370/table2?GETtext/xml+votable180.050000true237.261960.259830.0055555555555555561/5 10 2/16-17 19 25 28 32 34-35 38 103 109-111 3/72-73 75 97 116 132 134-135 144 146-147 176-178 184 407 409 421 427-428 430-431 435 494 4/297 299 399 469 472 532 535 580 582-583 600 602 624 716 718 724 740 744-746 1375 1621-1623 1625-1627 1641-1645 1691-1694 1703 1707 1717-1719 1728-1730 1735 1739 1962 1965-1967 1980 1982-1983 2027 5/136 138 1184-1185 1187 1193 1540-1541 1549 1585 1588-1589 1685 1728-1729 1732-1733 1873 1875 1880-1882 1884 1896-1898 1900-1901 2133-2136 2138-2139 2325 2327 2368 2370 2376 2378 2504-2506 2518 2521 2523-2524 2526 2530 2536 2545 2547-2548 2550 2553 2555-2556 2868 2870 2876 2878 2968-2970 2988 3072 3095 3097-3101 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12253-12254 12271 12273-12276 12280 12282 12287 6/0-2 4 521-524 526-527 548-550 556 640 4744-4745 4747 4769 4780-4781 4783 6149 6168-6169 6172-6173 6175 6205 6207 6337 6339 6363 6365-6367 6739 6976-6977 6980-6981 6992-6993 6996-6997 7488-7490 7496 7498-7499 7532-7533 7540 7568-7570 7572-7573 7576 7579 7582-7583 7596-7597 7608-7609 7612-7613 7680-7681 7684-7685 7696-7697 7700-7701 8528-8529 8531 8548 8550-8551 9306-9307 9486 9508 9510 9516 9518-9519 9530 9616 9618 9624-9626 9648 9650 9656 9658 10000 10028 10030 10061-10063 10067 10070 10091 10112-10114 10116 10124 10152-10154 10177 10179 10185 10187 10209 10211 10217 10219 10232-10234 11476-11478 11484 11486 11508 11520 11522 11528 11530 11552 11600 11602 11608 11610 11616-11617 11620-11621 11856-11858 11864 11884 11956 11960-11961 11968-11970 11976 12375 12378-12379 12387 12408-12410 12480-12481 12484 12556-12558 12564 12576 16887 16891 17149-17151 17207 17211 17223 17227 17244-17246 17260-17262 17264-17265 17287 17291 17308-17310 17324-17326 17328-17330 17344 17346 17469-17471 17485-17487 17490-17491 17505-17507 17524 17528 17547 17564-17566 17580-17582 17584-17586 17600-17602 17604 17661-17663 17668-17670 17672-17673 17725-17727 17741-17743 17745-17747 17756-17758 17761-17763 17772-17774 17776-17778 17805-17807 17809-17811 17825-17827 17836-17838 17840-17842 17856-17858 17920-17922 17981-17983 17997-17999 18001-18003 18012-18014 18017-18019 18028-18030 18032-18034 18061-18063 18076-18078 18092-18094 18096-18098 18104 18112-18114 18176-18178 18184 18293 18295 18299 18365-18367 18375 18381-18383 18396 18398 18401-18403 18412-18414 18416-18418 18495 18509-18511 18513-18515 18529-18531 18548 18552 18579 18597-18599 18601-18603 18612-18613 18628 18632 18634 18685-18690 18749-18751 18763 18765-18767 18769-18771 18780-18782 18785-18787 18796-18798 18800-18802 18808 18829-18831 18833-18835 18844-18846 18849-18851 18860-18862 18864-18866 18956 18960 18976-18978 19021-19023 19025-19027 19036-19038 19041-19043 19052-19054 19085-19087 19089-19091 19100-19102 19105-19107 19116-19118 19120-19122 19136-19138 19144 19200-19202 19319 19322-19323 19359 19371 19373-19375 19379 19397-19399 19420 19428-19430 19432-19434 19440 19456-19458 19582-19583 19645-19647 19662-19663 19666-19667 19681-19683 19700 19704 19725 19727 19729 19731 19747 19764 19768 19780 19784 19844 19848 19979 19985-19987 20012-20014 20016-20018 20036 20096-20097 21843 21873 21883 21959 21963 21976-21977 21979 21988 21991 21997 21999 22360-22361 22363 22385 22485 22487 22710-22711 22713-22715 22760 22762-22763 23043 23064-23066 23068 23076-23077 23101-23104 23138 23150 23181-23183 23185-23187 23196-23198 23201-23203 23212-23214 23216-23218 23224 23232-23234 23236 25559 25579 25581-25583 25585-25587 25821-25823 25837-25839 25841-25843 25885-25887 25901-25903 25905-25907 25921-25923 25985-25987 26139 26141-26143 26151 26155 26157-26159 26161-26163 26241-26243 26344-26345 26347 26360-26361 26877-26879 26903 26909-26911 26933 26941-26943 27021-27023 27025-27027 27041-27043 27197-27199 27213-27215 27217-27219 27233-27235 27277-27279 27281-27283 27297 27299 27468-27470 27700 27704 27709-27712 27714 27720 27726-27727 27729-27731 27745-27747 27780 27784 27789-27791 27793-27795 27809-27811 29973 30016 30029-30031 30044-30046 30053 30068 31289-31291 31331 31340 31342 31353-31355 31357-31359 31363 31388-31390 31408-31410 31413-31415 31417-31419 31424-31426 31429-31431 31433-31435 31548 31550-31551 31594 31598-31599 31700 31710 32391 32402-32403 32406-32407 32425-32427 32460 32462 32478 32484 32486 32492 32494-32495 32497 32499 32505 32672 32674 32680 32682-32683 36607 36702-36703 36715 36721-36723 36758-36759 36761-36763 36771 36773-36775 36788-36790 36792-36794 36812 36816-36818 36832 36861-36863 40957 40959 45023 45039 45043 48983 49005-49007 49009-49011 49020-49022 49077-49079 49081 49091 49108 49112 49114 49124-49126 49147https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/455/370?format=asciiOpticalInfrareddefaultJ/MNRAS/455/370/table2Catalogue of artificial neural networks (ANN) predicted LIR for SDSS galaxiesrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintSDSSSDSS objIDmeta.idRAJ2000Right ascension (J2000)degpos.eq.ra;meta.mainindexedDEJ2000Declination (J2000)degpos.eq.dec;meta.mainindexedzRedshiftsrc.redshiftdoublelogLIRANN-predicted LIR luminositylog(1e-07W)phys.luminosity;em.IRfloats_logLIRScatter in ANN-predicted LIRlog(1e-07W)stat.errorfloatSloanDisplay the SDSS data for this galaxymeta.ref.urlchar