Swift BAT Survey of AGNs

We present the results of the analysis of the first 9 months of data of the Swift BAT survey of AGNs in the 14-195 keV band. Using archival X-ray data or follow-up Swift XRT observations, we have identified 129 (103 AGNs) of 130 objects detected at [image] and with significance >4.8 capital sigma...

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Veröffentlicht in:The Astrophysical journal 2008-07, Vol.681 (1), p.113-127
Hauptverfasser: Tueller, J, Mushotzky, R. F, Barthelmy, S, Cannizzo, J. K, Gehrels, N, Markwardt, C. B, Skinner, G. K, Winter, L. M
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Sprache:eng
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Zusammenfassung:We present the results of the analysis of the first 9 months of data of the Swift BAT survey of AGNs in the 14-195 keV band. Using archival X-ray data or follow-up Swift XRT observations, we have identified 129 (103 AGNs) of 130 objects detected at [image] and with significance >4.8 capital sigma . One source remains unidentified. These same X-ray data have allowed measurement of the X-ray properties of the objects. We fit a power law to the [image] distribution, and find the slope to be [image]. Characterizing the differential luminosity function data as a broken power law, we find a break luminosity [image] (erg s super(-1)) = 43.85 +/- 0.26, a low-luminosity power law slope [image], and a high-luminosity power law slope [image], similar to the values that have been reported based on INTEGRAL data. We obtain a mean photon index 1.98 in the 14-195 keV band, with an rms spread of 0.27. Integration of our luminosity function gives a local volume density of AGNs above [image] erg s[image] of [image] Mpc[image], which is about 10% of the total luminous local galaxy density above [image]. We have obtained X-ray spectra from the literature and from Swift XRT follow-up observations. These show that the distribution of [image] is essentially flat from [image] to [image] cm[image], with 50% of the objects having column densities of less than [image] cm[image]. BAT Seyfert galaxies have a median redshift of 0.03, a maximum [image] luminosity of 45.1, and approximately half have [image].
ISSN:0004-637X
1538-4357
DOI:10.1086/588458