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Modeling reverberation mapping data I: improved geometric and dynamical models and comparison with cross-correlation results

机译:建模混响映射数据I:改进的几何和动态   模型和与互相关结果的比较

摘要

We present an improved and expanded simply parameterized phenomenologicalmodel of the broad line region (BLR) in active galactic nuclei (AGN) formodeling reverberation mapping data. By modeling reverberation mapping datadirectly, we can constrain the geometry and dynamics of the BLR and measure theblack hole mass without relying on the normalization factor needed in thetraditional analysis. For realistic simulated reverberation mapping datasets ofhigh-quality, we can recover the black hole mass to $0.05-0.25$ dex uncertaintyand distinguish between dynamics dominated by elliptical orbits and inflowinggas. While direct modeling of the integrated emission line light curve allowsfor measurement of the mean time lag, other details of the geometry of the BLRare better constrained by the full spectroscopic dataset of emission lineprofiles. We use this improved model of the BLR to explore possible sources ofuncertainty in measurements of the time lag using cross-correlation function(CCF) analysis and in measurements of the black hole mass using the virialproduct. Sampling the range of geometries and dynamics in our model of the BLRsuggests that the theoretical uncertainty in black hole masses measured usingthe virial product is on the order of 0.25 dex. These results support the useof the CCF to measure time lags and the virial product to measure black holemasses when direct modeling techniques cannot be applied, provided theuncertainties associated with the interpretation of the results are taken intoaccount.
机译:我们提出了一个改进和扩展的简单参数化的现象学模型的活动银河核(AGN)中的宽线区域(BLR),用于建模混响映射数据。通过直接对混响映射数据进行建模,我们可以限制BLR的几何形状和动力学并测量黑洞质量,而无需依赖传统分析中所需的归一化因子。对于高质量的逼真的模拟混响映射数据集,我们可以将黑洞质量恢复到$ 0.05-0.25 $ dex不确定度,并区分以椭圆轨道为主的动力学和流入的气体。虽然直接对集成的发射线光曲线进行建模可以测量平均时间滞后,但是BLR几何形状的其他细节受到发射线轮廓的完整光谱数据集的较好约束。我们使用BLR的改进模型来探索使用互相关函数(CCF)分析时滞和使用病毒产物测量黑洞质量的不确定性的可能来源。在我们的BLR模型中对几何形状和动力学范围进行抽样,建议使用病毒产物测得的黑洞质量的理论不确定度约为0.25 dex。这些结果支持在无法应用直接建模技术的情况下使用CCF来测量时滞,并使用病毒性产品来测量黑洞质量,前提是要考虑到与结果解释相关的不确定性。

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