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A statistical relation between the X-ray spectral index and Eddington ratio of active galactic nuclei in deep surveys

Authors :
Brightman, M.
Silverman, J. D.
Mainieri, V.
Ueda, Y.
Schramm, M.
Matsuoka, K.
Nagao, T.
Steinhardt, C.
Kartaltepe, J.
Sanders, D. B.
Treister, E.
Shemmer, O.
Brandt, W. N.
Brusa, M.
Comastri, A.
Ho, L. C.
Lanzuisi, G.
Lusso, E.
Nandra, K.
Salvato, M.
Zamorani, G.
Akiyama, M.
Alexander, D. M.
Bongiorno, A.
Capak, P.
Civano, F.
Del Moro, A.
Doi, A.
Elvis, M.
Hasinger, G.
Laird, E. S.
Masters, D.
Mignoli, M.
Ohta, K.
Schawinski, K.
Taniguchi, Y.
Publication Year :
2013

Abstract

We present an investigation into how well the properties of the accretion flow onto a supermassive black hole may be coupled to those of the overlying hot corona. To do so, we specifically measure the characteristic spectral index, Gamma, of a power-law energy distribution, over an energy range of 2 to 10 keV, for X-ray selected, broad-lined radio-quiet AGN up to z~2 in COSMOS and E-CDF-S. We test the previously reported dependence between Gamma and black hole mass, FWHM and Eddington ratio using a sample of AGN covering a broad range in these parameters based on both the Mg ii and H-alpha emission lines with the later afforded by recent near infrared spectroscopic observations using Subaru/FMOS. We calculate the Eddington ratios, lambda_Edd, for sources where a bolometric luminosity (L_Bol) has been presented in the literature, based on SED fitting, or, for sources where these data do not exist, we calculate L_Bol using a bolometric correction to the LX, derived from a relationship between the bolometric correction, and LX/L3000. From a sample of 69 X-ray bright sources (>250 counts), where Gamma can be measured with greatest precision, with an estimate of L_Bol, we find a statistically significant correlation between Gamma and lambda_Edd, which is highly significant with a chance probability of 6.59x10^-8. A statistically significant correlation between Gamma and the FWHM of the optical lines is confirmed, but at lower significance than with lambda_Edd indicating that lambda_Edd is the key parameter driving conditions in the corona. Linear regression analysis reveals that Gamma=(0.32+/-0.05)log10 lambda_Edd+(2.27+/-0.06) and Gamma=(-0.69+/-0.11)log10(FWHM/km/s)+(4.44+/-0.42). Our results on Gamma-lambda_Edd are in very good agreement with previous results. (ABRIDGED)

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1305.3917
Document Type :
Working Paper
Full Text :
https://doi.org/10.1093/mnras/stt920