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arXiv 1012.1747astro-ph.IMastro-ph.GA
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Weeds:毫米波和亚毫米波频谱测量分析用的CLASS扩展

Weeds: a CLASS extension for the analysis of millimeter and sub-millimeter spectral surveys

S. Maret, P. Hily-Blant, J. Pety, S. Bardeau, E. Reynier

摘要:

大瞬时带宽接收器和高光谱分辨率光谱仪在(亚)毫米望远镜上的出现,为无偏光谱测量开辟了可能性。由于它们包含大量数据,对这些调查的任何分析都需要专门的软件工具。在这里,我们提出了一个广泛使用的类软件,我们为此目的开发的扩展。这个扩展名为Weeds,允许在原子和分子线数据库(例如JPL或CDMS)中进行搜索,这些数据库可以使用虚拟天文台(VO)兼容协议通过互联网访问。该软件包允许快速导航整个光谱调查,以寻找一个给定的物种线。Weeds还能够对光谱进行建模,这通常需要用于线识别。我们预计,杂草将有助于分析和解释光谱调查,将与Herschel上的HIFI仪器完成,但也与地面毫米和亚毫米望远镜和干涉仪,如IRAM-30 m和Plateau de Bure,CARMA,SMA,eVLA和ALMA进行观测。

英文摘要:

The advent of large instantaneous bandwidth receivers and high spectral resolution spectrometers on (sub-)millimeter telescopes has opened up the possibilities for unbiased spectral surveys. Because of the large amount of data they contain, any analysis of these surveys requires dedicated software tools. Here we present an extension of the widely used CLASS software that we developed to that purpose. This extension, named Weeds, allows for searches in atomic and molecular lines databases (e.g. JPL or CDMS) that may be accessed over the internet using a virtual observatory (VO) compliant protocol. The package permits a quick navigation across a spectral survey to search for lines of a given species. Weeds is also capable of modeling a spectrum, as often needed for line identification. We expect that Weeds will be useful for analyzing and interpreting the spectral surveys that will be done with the HIFI instrument on board Herschel, but also observations carried-out with ground based millimeter and sub-millimeter telescopes and interferometers, such as IRAM-30m and Plateau de Bure, CARMA, SMA, eVLA, and ALMA.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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