2004
DOI: 10.1017/s1743921304001358
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Black hole masses from reverberation measurements

Abstract: Abstract.We have reanalyzed in a consistent way existing reverberation data for 35 AGNs for the purpose of refining the black hole masses derived from these data. We find that the precision (or random component of the error) of reverberation-based black hole mass measurements is typically around 30%, comparable to the precision attained in measurement of black hole masses in quiescent galaxies by gas or stellar dynamical methods. As discussed in this volume by Onken et al., we have established an absolute cali… Show more

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Cited by 6 publications
(3 citation statements)
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“…This source currently lacks a reverberation mapping mass estimate (e.g. Peterson 2004) which is required before the exact QPO mechanism can be robustly identified. From the arguments above we propose the QPO observed in MS 2254.9-3712 is indeed the same as the HFQPO phenomenon observed in several BHBs.…”
Section: Qpo Identificationmentioning
confidence: 99%
“…This source currently lacks a reverberation mapping mass estimate (e.g. Peterson 2004) which is required before the exact QPO mechanism can be robustly identified. From the arguments above we propose the QPO observed in MS 2254.9-3712 is indeed the same as the HFQPO phenomenon observed in several BHBs.…”
Section: Qpo Identificationmentioning
confidence: 99%
“…So far, about 100 black-hole masses have been measured using spectroscopic reverberation mapping techniques (Kaspi et al 2000;Bentz et al 2009a,b;Denney et al 2010;Bentz et al 2013;Barth et al 2015;Grier et al 2012;Shen et al 2015b;Du et al 2015Du et al , 2016aGrier et al 2017), which require long-term spectroscopic observations to recover their lags. Since BLR radii can span up to several hundred light days (Peterson 2004;Bentz et al 2014;Fausnaugh et al 2017;Williams et al 2018) light curve observations need to take place over several months or years to match features in the continuum to the echoes from the BLR, with 3 times the observed-frame lag being the recommended baseline (Shen et al 2015a). Cosmological time dilation increases the time-scale of observed variability and so high-redshift QSOs require much longer observational campaigns than low-redshift QSOs.…”
Section: Introductionmentioning
confidence: 99%
“…The variability of the BLR emission line can be captured within a redshifted narrow-band (or broad-band) photometric filter through the careful separation of the underlying, driving continuum (Haas et al 2011;Chelouche & Daniel 2012;Pozo Nuez et al 2012;Zu et al 2016). This can be done either by modelling the variability using a stochastic time-series model such as the Damped Random Walk (Zu et al 2011(Zu et al , 2013(Zu et al , 2016 or by more empirical measures such as cross-correlation analysis, which are model-independent (White & Peterson 1994;Rybicki & Kleyna 1994;Peterson 2004;Chelouche & Daniel 2012;Shen et al 2015a;Fausnaugh et al 2017).…”
Section: Introductionmentioning
confidence: 99%