The Laboratory Astrophysics Spectroscopy Programme at Imperial College London

The Laboratory Astrophysics Spectroscopy Programme at Imperial College London
复制标题

DOI:
10.3390/galaxies6040109
复制
发表时间:
2018-10
期刊:
影响因子:
2.5
通讯作者:
M. T. Belmonte;J. Pickering;C. Clear;F. Mairey;Florence S. Liggins
M. T. Belmonte;J. Pickering;C. Clear;F. Mairey;Florence S. Liggins
中科院分区:
--
文献类型:
--
作者:
M. T. Belmonte;J. Pickering;C. Clear;F. Mairey;Florence S. Liggins

文献摘要

相似文献

准确的原子参数,如跃迁概率、波长和能级,对于分析恒星光谱和获得化学丰度是必不可少的。然而,在许多情况下,现有数据的数量和质量远远不能满足天文学家当前的需求,因此迫切需要实验室测量匹配的准确性和完整性,以充分利用昂贵的天体物理光谱的潜力。伦敦帝国理工学院的傅里叶变换光谱仪工作在真空紫外-可见光区域,200 nm 处的分辨率为 2,000,000。我们可以获得中性、单电离和双电离物质的校准光谱。我们与美国国家标准与技术研究所 (NIST) 和隆德大学合作,将我们的测量扩展到红外区域。本次综述的目的是以一种易于理解的方式解释我们实验的当前能力,使天文学界更接近实验室天体物理学领域,并鼓励我们的实验室与所有需要准确原子数据的天文学家之间进行进一步对话。这种思想交流将帮助我们将精力集中在最迫切需要的数据上。
Accurate atomic parameters, such as transition probabilities, wavelengths, and energy levels, are indispensable for the analysis of stellar spectra and the obtainment of chemical abundances. However, the quantity and quality of the existing data in many cases lie far from the current needs of astronomers, creating an acute need for laboratory measurements of matching accuracy and completeness to exploit the full potential of the very expensively acquired astrophysical spectra. The Fourier Transform Spectrometer at Imperial College London works in the vacuum ultraviolet-visible region with a resolution of 2,000,000 at 200 nm. We can acquire calibrated spectra of neutral, singly, and doubly ionized species. We collaborate with the National Institute of Standards and Technology (NIST) and the University of Lund to extend our measurements into the infrared region. The aim of this review is to explain the current capabilities of our experiment in an understandable way to bring the astronomy community closer to the field of laboratory astrophysics and encourage further dialogue between our laboratory and all those astronomers who need accurate atomic data. This exchange of ideas will help us to focus our efforts on the most urgently needed data.