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Multiwavelength modelling the SED of supersoft X-ray sources I. The method and examples

机译:超软X射线源SED的多波长建模I.方法与实例

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Radiation of supersoft X-ray sources (SSS) dominates both the supersof X-ray and the far-UV domain. A fraction of their radiation can be reprocessed into the thermal nebular emission, seen in the spectrum from the near-UV to longer wavelengths. In the case of symbiotic X-ray binaries (SyXBs) a strong contribution from their cool giants is indicated in the opticalear-IR. In this paper I introduce a method of multiwavelength modelling the spectral energy distribution (SED) of SSSs from the supersoft X-rays to the near-IR with the aim to determine the physical parameters of their composite spectra. The method is demonstrated on two extragalactic SSSs, the SyXB RXJ0059.1-7505 (LIN 358) in the Small Magellanic Cloud (SMC), RXJ0439.8-6809 in the Large Magellanic Cloud (LMC) and two Galactic SSSs, the classical nova RXJ2030.5+5237 (V1974 Cyg) during its supersoft phase and the classical symbiotic star RXJ1601.6+6648 (AG Dra) during its quiescent phase. The multiwavelength approach overcomes the problem of the mutual dependence between the temperature, luminosity and amount of absorption, which appears when only the X-ray data are fitted. Thus, the method provides an unambiguous solution. It was found that selection of the model (a blackbody or an atmospheric model) is not of crucial importance in fitting the global X-ray/IR SED. The multiwavelength modelling of the SED of SSSs is essential in determining their physical parameters. (c) 2013 Elsevier B.V. All rights reserved.
机译:超软X射线源(SSS)的辐射主导着X射线的超射线和远紫外线域。从近紫外线到较长波长的光谱中可以看到,它们的一部分辐射可以重新加工成热星云发射。对于共生X射线双星(SyXB),光学/近红外表明了它们很酷的巨星的强大贡献。在本文中,我介绍了一种从超软X射线到近红外的多波长模拟SSS的光谱能量分布(SED)的方法,目的是确定其复合光谱的物理参数。该方法在两个银河系外SSS上进行了演示:小麦哲伦星云(SMC)中的SyXB RXJ0059.1-7505(LIN 358),大麦哲伦星云(LMC)中的RXJ0439.8-6809和两个银河系SSS(经典新星) RXJ2030.5 + 5237(V1974 Cyg)处于超软期,而经典共生星RXJ1601.6 + 6648(AG Dra)处于静止期。多波长方法克服了温度,发光度和吸收量之间相互依赖的问题,这种问题仅在拟合X射线数据时出现。因此,该方法提供了明确的解决方案。已经发现,选择模型(黑体或大气模型)对于拟合全局X射线/ IR SED并非至关重要。 SSS的SED的多波长建模对于确定其物理参数至关重要。 (c)2013 Elsevier B.V.保留所有权利。

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