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arXiv 0902.0636astro-ph.GAastro-ph.SR
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噪声对沙尘温度-光谱指数相关性的影响

The Effect of Noise on the Dust Temperature - Spectral Index Correlation

Rahul Shetty, Jens Kauffmann, Scott Schnee, Alyssa A. Goodman

摘要:

我们研究如何在通量测量的不确定性影响的结果,从修改后的黑体SED适合。我们发现,尘埃温度T和光谱指数(β)之间的负相关性自然产生最小二乘拟合由于不确定性,即使是一个单一的T和β源。拟合SED噪声通量仅在瑞利-金斯制度产生不可靠的T和β估计。因此,对于长波长观测(λ>~ 200微米)或暖源(T >~ 60 K),很难区分不同温度的源。我们评估了噪声在最近的观测结果中的作用,这些结果表明了逆和连续变化的T -β关系。虽然逆和连续的T -β相关性可能是ISM中尘埃的一种物理性质,但我们发现,观测到的逆相关性可能主要是由于噪声。

英文摘要:

We investigate how uncertainties in flux measurements affect the results from modified blackbody SED fits. We show that an inverse correlation between the dust temperature T and spectral index (beta) naturally arises from least squares fits due to the uncertainties, even for sources with a single T and beta. Fitting SEDs to noisy fluxes solely in the Rayleigh-Jeans regime produces unreliable T and beta estimates. Thus, for long wavelength observations (lambda >~ 200 micron), or for warm sources (T >~ 60 K), it becomes difficult to distinguish sources with different temperatures. We assess the role of noise in recent observational results that indicate an inverse and continuously varying T - beta relation. Though an inverse and continuous T - beta correlation may be a physical property of dust in the ISM, we find that the observed inverse correlation may be primarily due to noise.

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