J/AJ/137/3245ivo://CDS.VizieR/J/AJ/137/3245doi:10.26093/cds/vizier.51373245CDSManteiga M.Carricajo I.Rodriguez A.Dafonte C.Arcay B.2018-01-05T08:55:36Z2011-10-07T14:25:51ZCDS support team

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

cds-question@unistra.frstellar-spectral-typeseffective-temperaturechemical-abundancesAstrophysics is evolving toward a more rational use of costly observational data by intelligently exploiting the large terrestrial and spatial astronomical databases. In this paper, we present a study showing the suitability of an expert system to perform the classification of stellar spectra in the Morgan and Keenan (MK) system. Using the formalism of artificial intelligence for the development of such a system, we propose a rules' base that contains classification criteria and confidence grades, all integrated in an inference engine that emulates human reasoning by means of a hierarchical decision rules tree that also considers the uncertainty factors associated with rules. Our main objective is to illustrate the formulation and development of such a system for an astrophysical classification problem. An extensive spectral database of MK standard spectra has been collected and used as a reference to determine the spectral indexes that are suitable for classification in the MK system. It is shown that by considering 30 spectral indexes and associating them with uncertainty factors, we can find an accurate diagnose in MK types of a particular spectrum. The system was evaluated against the NOAO-INDO-US spectral catalog.2009AJ....137.3245Mhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/AJ/137/3245CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/AJ/137/3245https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/AJ/137/3245http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/AJ/137/3245https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/AJ/137/3245https://vizier.iucaa.in/viz-bin/votable?-source=J/AJ/137/3245http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/AJ/137/3245GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/AJ/137/3245/table1 (STARMIND MK standard's database)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/AJ/137/3245/table1?https://vizier.iucaa.in/viz-bin/conesearch/J/AJ/137/3245/table1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/AJ/137/3245/table1?GETtext/xml+votable180.050000true174.2372119-0.82374890.0055555555555555566/161 341 377 428 587 666 684 689 737 841 894 915 1198 1249 1286 1287 1297 1341 1360 1397 1399 1408 1535 1556 1633 1759 1885 2317 2460 2476 2549 2664 2828 2921 2923 2927 2970 3020 3026 3037 3054 3077 3087 3118 3146 3229 3250 3274 3342 3390 3430 3489 3600 3619 3777 4041 4059 4146 4191 4419 4438 4444 4559 4574 4808 4929 4990 5109 5149 5154 5230 5245 5304 5323 5377 5522 5535 5587 5631 5776 5836 5929 5982 6066 6154 6203 6219 6298 6339 6740 6776 7040 7136 7205 7238 7252 7402 7486 7560 7610 8007 8198 8278 8333 8496 8523 8671 8689 8767 8773 8790 8845 8985 9213 9310 9327 9373 9403 9502 9610 9642 9753 9792 9813 9835 9873 10101 10164 10375 10380 10696 10731 10834 10835 10886 10899 10997 11109 11193 11370 11547 11851 12030 12082 12720 12848 12865 12877 12953 12991 13211 13292 13333 13392 13544 13777 13963 14005 14109 14206 14220 14278 14557 14630 14767 14824 14878 15021 15144 15174 15237 15297 15320 15363 15396 15481 15597 15624 15631 15650 15715 15747 15768 15828 15850 15995 16023 16035 16148 16150 16213 16834 17012 17084 17266 17425 17432 17445 17551 17608 17919 18276 18315 18416 18591 18651 18688 18710 18893 18911 18978 19110 19237 19309 19312 19676 19825 19921 19985 20110 20145 20278 20308 20313 20847 20886 21112 21285 21423 21438 21457 21612 21879 22250 22275 22553 22708 22711 22822 22882 22900 23007 23190 23369 23375 23408 23421 23525 23533 23538 23539 23540 23545 23547 23611 23637 23695 23822 23864 23979 23983 23996 24048 24062 24103 24151 24164 24336 24420 24480 24545 24570 24921 24924 25182 25246 25278 25304 25506 25741 25769 25789 25793 25930 25973 26014 26024 26320 26457 26552 26575 26758 26783 26959 26975 27106 27198 27322 27574 27694 27752 28044 28149 28151 28173 28208 28352 28394 28436 28605 29445 29589 29680 29893 30106 30114 30225 30339 30541 30640 30655 30732 30818 30953 31073 31116 31478 31686 31745 31751 31756 31776 31842 32182 32185 32477 32562 32610 32621 32661 36693 36697 36759 40408 40635 40777 40795 40885 40932 44372 44485 44722 44747 44847 44860 44883 48572 48804 48884https://cdsarc.cds.unistra.fr/viz-bin/moc/J/AJ/137/3245?format=asciiOpticaldefaultJ/AJ/137/3245/table1STARMIND MK standard's databaserecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintNameStar namemeta.id;meta.maincharSpTypeMK spectral typesrc.spTypecharr_SpTypeReference for SpType (1)meta.ref;pos.framecharTeff? Effective temperatureKphys.temperature.effectiveintnullablelog(g)? Log of surface gravitylog(cm.s**-2)phys.gravityfloatnullable[Fe/H]? Metallicitylog(Sun)phys.abund.ZfloatnullableSimbadSimbad column added by the CDSchar_RARight Ascension (J2000) from SIMBAD (not part of the original data)degpos.eq.ra;meta.main_DEDeclination (J2000) from SIMBAD (not part of the original data)degpos.eq.dec;meta.main