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SYSTEMATIC CONTINUUM ERRORS IN THE Lyα FOREST AND THE MEASURED TEMPERATURE–DENSITY RELATION

机译:Lyα森林的系统连续性误差和测得的温度-密度关系

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Continuum fitting uncertainties are a major source of error in estimates of the temperature-density relation (usually parameterized as a power-law, T ∝ Δγ – 1) of the intergalactic medium through the flux probability distribution function (PDF) of the Lyα forest. Using a simple order-of-magnitude calculation, we show that few percent-level systematic errors in the placement of the quasar continuum due to, e.g., a uniform low-absorption Gunn-Peterson component could lead to errors in γ of the order of unity. This is quantified further using a simple semi-analytic model of the Lyα forest flux PDF. We find that under(over)estimates in the continuum level can lead to a lower (higher) measured value of γ. By fitting models to mock data realizations generated with current observational errors, we find that continuum errors can cause a systematic bias in the estimated temperature-density relation of δ(γ) ≈ –0.1, while the error is increased to σγ ≈ 0.2 compared to σγ ≈ 0.1 in the absence of continuum errors.
机译:连续体拟合的不确定性是通过Lyα森林通量概率分布函数(PDF)估算星系间介质的温度-密度关系(通常参数化为幂律,T ∝Δγ– 1)的主要误差来源。使用简单的量级计算,我们显示出由于例如均匀的低吸收性Gunn-Peterson分量而导致的类星体连续体位置中百分之几的系统误差可能导致γ的误差约为统一。使用Lyα森林通量PDF的简单半分析模型进一步量化了这一点。我们发现连续水平的低估(过高)会导致较低(较高)的γ测量值。通过拟合模型以模拟由当前观测误差产生的数据实现,我们发现连续误差会导致估计的温度-密度关系δ(γ)≈–0.1的系统偏差,而与之相比,误差增加到σγ≈0.2在没有连续误差的情况下,σγ≈0.1。

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