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Accuracy of core mass estimates in simulated observations of dust emission

机译:模拟尘埃排放观测中岩心质量估算的准确性

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Aims. We study the reliability of the mass estimates obtained for molecular cloud cores using sub-millimetre and infrared dust emission. Methods. We use magnetohydrodynamic simulations and radiative transfer to produce synthetic observations with spatial resolution and noise levels typical of Herschel surveys. We estimate dust colour temperatures using different pairs of intensities, calculate column densities with opacity at one wavelength, and compare the estimated masses with the true values. We compare these results to the case when all five Herschel wavelengths are available. We investigate the effects of spatial variations of dust properties and the influence of embedded heating sources. Results. Wrong assumptions of dust opacity and its spectral index β can cause significant systematic errors in mass estimates. These are mainly multiplicative and leave the slope of the mass spectrum intact, unless cores with very high optical depth are included. Temperature variations bias the colour temperature estimates and, in quiescent cores with optical depths higher than for normal stable cores, masses can be underestimated by up to one order of magnitude. When heated by internal radiation sources, the dust in the core centre becomes visible and the observations recover the true mass spectra. Conclusions. The shape, although not the position, of the mass spectrum is reliable against observational errors and biases introduced in the analysis. This changes only if the cores have optical depths much higher than expected for basic hydrostatic equilibrium conditions. Observations underestimate the value of?β whenever there are temperature variations along the line of sight. A bias can also be observed when the true?β varies with wavelength. Internal heating sources produce an inverse correlation between colour temperature and?β that may be difficult to separate from any intrinsic?β(T) relation of the dust grains. This suggests caution when interpreting the observed mass spectra and the spectral indices.
机译:目的我们研究了使用亚毫米和红外尘埃发射获得的分子云核心质量估计值的可靠性。方法。我们使用磁流体动力学模拟和辐射传递来产生具有空间分辨率和典型Herschel调查噪声水平的综合观测结果。我们使用不同的强度对估算粉尘色温,计算在一个波长下具有不透明性的色谱柱密度,并将估算的质量与真实值进行比较。我们将这些结果与所有五个赫歇尔波长都可用的情况进行比较。我们研究了粉尘特性空间变化的影响以及嵌入式热源的影响。结果。灰尘不透明度及其光谱指数β的错误假设可能会导致质量估计中的重大系统误差。除非包括非常高的光学深度的纤芯,否则它们主要是可乘的,并且使质谱的斜率保持不变。温度变化会使色温估算值产生偏差,并且在光学深度比正常稳定纤芯高的静态纤芯中,质量可能低估了一个数量级。当被内部辐射源加热时,纤芯中心的灰尘变得可见,并且观测值恢复了真实的质谱。结论。质谱图的形状(尽管不是位置)对于分析中引入的观测误差和偏差是可靠的。仅当纤芯的光学深度比基本静水压平衡条件下的预期深度高时,这种情况才会改变。每当沿视线出现温度变化时,观察结果都会低估Δβ的值。当真正的ββ随波长变化时,也可以观察到偏差。内部加热源在色温和ββ之间产生反比关系,这可能很难与尘粒的任何固有ββ(T)关系分开。这在解释观察到的质谱和光谱指数时建议谨慎。

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