J/A+A/675/A65ivo://CDS.VizieR/J/A+A/675/A65doi:10.26093/cds/vizier.36750065CDSSilver R.Torres-Alba N.Zhao X.Marchesi S.Pizzetti A.Cox I.,Ajello M.2025-02-28T12:57:49Z2023-07-03T09:35:37ZCDS support team

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

cds-question@unistra.frgalaxiesinfrared-sourcesx-ray-sourceschemical-abundancesWe present a new method to predict the line-of-sight column density (NH) values of active galactic nuclei (AGN) based on mid-infrared (MIR), soft, and hard X-ray data. We developed a multiple linear regression machine learning algorithm trained with WISE colors, Swift-BAT count rates, soft X-ray hardness ratios, and an MIR-soft X-ray flux ratio. Our algorithm was trained off 451 AGN from the Swift-BAT sample with known NH and has the ability to accurately predict NH values for AGN of all levels of obscuration, as evidenced by its Spearman correlation coefficient value of 0.86 and its 75% classification accuracy. This is significant as few other methods can be reliably applied to AGN with Log(NH)<22.5. It was determined that the two soft X-ray hardness ratios and the MIR-soft X-ray flux ratio were the largest contributors towards accurate NH determination. We applied the algorithm to 487 AGN from the BAT 150-month catalog with no previously measured NH values. This algorithm will continue to contribute significantly to finding Compton-thick (CT-) AGN (NH>=10^24^cm^-2^), thus enabling us to determine the true intrinsic fraction of CT-AGN in the local universe and their contribution to the Cosmic X-ray Background.2023A&A...675A..65Shttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/675/A65CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/675/A65https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/675/A65http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/675/A65https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/675/A65https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/675/A65http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/675/A65GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/A+A/675/A65/table (Data of 451 sources used to train and test the algorithm)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/675/A65/table?https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/675/A65/table?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/675/A65/table?GETtext/xml+votable180.050000true219.799416714.25608330.0055555555555555566/43 134 181 243 325 611 615 697 723 745 815 879 907 941 953 1069 1120-1121 1405 1526 1546 1566 1583 1701-1702 2251 2273 2390 2397 2564 2708 2846 3105 3429 3431 3560 3886 3900 4027 4029 4070 4231 4329 4439 4784 4834 5018 5097 5149 5395 5463 5499 5514 5597 5699 5762 5766 5964 5972 5975-5976 5989 5996 6014 6021 6025 6167 6212 6241 6293 6376 6398 6502 6505 6665 6752 6988 7058 7061 7098 7157 7166 7177 7184 7277 7386 7422 7502 7518 7560 7628 7660 7713 7728 7741 7778 7869 7921 7959 7969 8030 8071 8085 8374 8426 8506 8658 8812 8868 8870 8921-8922 8945 9093 9231 9375 9460 9468 9495 9502 9707 9894 9942 10118 10141 10228 10348 10454 10538 10662 10675 10895 10912 10977 10984 11006 11091 11102 11158 11232 11416 11683 11705 11726 11816 11889 11898 12002 12154 12251 12568 12640 12694 12921 13120 13359 13511 13707 13713 13927 14505 14526 14960 15064 15331 15804 15969 16042 16093 16100 16109 16184 16201 16272 16298 16301 16447 16690 16962 17162 17492 17525 17548 17751 17754 17795 17964 18307 18365 18402 18419 18544 18683 18695 19070 19178 19283 19318 19373 19376 19499 19567 19767 19797 19883 19996 20000 20099 20107 20156 20171 20278 20379 20556 20624 20657 20750 21016 21036 21088 21186 21245 21378 21450 21785 21824 21847 21950 21996 22186 22355 22365 22626 22632 22975 23010 23075 23167 23171 23224 23323 23332 24022 24084 24123 24127 24170 24228 24699 24842 25035 25047 25132 25153 25273 25302 25403 25572 25580 25619 25676 25742 25790 25907 26041 26071 26103 26131 26375 26547 26860 27052 27259 27504 27699 27767 27801 27815 27976 28075 28153 28275 28350 28352 28517-28518 28535 28544 28563 28593 28609 28626 28639 28643 28654 29368 29409 29774 29795 29906 30026 30103 31101 31401 31509 31943 32143 32447 32630 32986 33121 33134 33239 33248 33570 33583 33817 33924-33925 33928 33939 33968 34104 34125 34190 34316 34318 34370 34412 34669 34726 34768 34907 35049 35074 35085 35184 35246 35284 35407 35447 35521 35608 35623 35638 35714 35717 35801 35899 35934 36062 36216 36256 36342 36396 36554 36618 36765 36785-36786 36861 36896 37054 37287 37294 37458 38129 38268 38479 38651 38653 38704 38829 38849 38868 39001 39138 39149 39164 39487 39722 39819 40013 40087 40221 40250 40332 40666 40818 40880 41087 41136 41231 42005 42016 42704 42743 42901 43242 43262 43294 43339 43412 43471 43546 43677 43695 43806 43877 44017 44448 44507 44650 44660 44698 44722 44892 45222 45258 45693 45735 45883 45977 45985 46005 46101 46124 46280 46399 46424 46709 46811 46831 47047 47074 47107 47154 47308 47971 48023 48394 48610 48798 48846 49001https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/675/A65?format=asciiX-rayInfrareddefaultJ/A+A/675/A65/tableData of 451 sources used to train and test the algorithmSimbadNameSimbad column added by the CDSmeta.idcharnullablerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintHR2XRT hardness ratio using the bands: (2-10keV)-(1-2keV)/(2-10keV)+(1-2 keV)phot.flux;arith.ratiodoubleCR14-20keVBAT count rate in the band 14-20keVct/sphot.count;em.X-raydoubleCR20-24keVBAT count rate in the band 20-24keVct/sphot.count;em.X-raydoubleCR24-34keVBAT count rate in the band 24-34keVct/sphot.count;em.X-raydoubleW1-W2WISE W1-W2 colourmagphot.color;em.IR;em.IRfloatW1-W3WISE W1-W3 colourmagphot.color;em.IR;em.IRfloatW1-W4WISE W1-W4 colourmagphot.color;em.IR;em.IRfloatW2-W3WISE W2-W3 colourmagphot.color;em.IR;em.IRfloatW2-W4WISE W2-W4 colourmagphot.color;em.IR;em.IRfloatW3-W4WISE W3-W4 colourmagphot.color;em.IR;em.IRfloatlog(FIR/FXR)Mid-IR-soft X-ray flux ratiophot.flux;arith.ratiofloatHR1XRT hardness ratio using the bands: (1-2keV)- (0.3-1keV)/(1-2keV)+(0.3-1keV)phot.flux;arith.ratiodoubleCR34-45keVBAT count rate in the band 34-45keVct/sphot.count;em.X-raydoubleCR45-60keVBAT count rate in the band 45-60keVct/sphot.count;em.X-raydoubleCR60-85keVBAT count rate in the band 60-85keVct/sphot.count;em.X-raydoubleCR85-110keVBAT count rate in the band 85-110keVct/sphot.count;em.X-raydoubleCR110-150keVBAT count rate in the band 110-150keVct/sphot.count;em.X-raydoubleCR14-150keVBAT count rate in the band 14-150keVct/sphot.count;em.X-raydoublelogNH-RXNH column density determined through X-ray spectral fittinglog(cm.s**-2)phys.columnDensityfloat_RAPositions from Simbad or Name (right ascension part)degpos.eq.ra;meta.main_DEPositions from Simbad or Name (declination part)degpos.eq.dec;meta.mainNameName of the sourcemeta.id;meta.mainchar