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arXiv 1012.2701astro-ph.SR
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Herschel密钥程序MESS(改进型StarS的质量损失)

MESS (Mass-loss of Evolved StarS), a Herschel Key Program

M. A. T. Groenewegen, C. Waelkens, M. J. Barlow, F. Kerschbaum, P. Garcia-Lario, J. Cernicharo, J. A. D. L. Blommaert, J. Bouwman, M. Cohen, N. Cox, L. Decin, K… 展开作者

M. A. T. Groenewegen, C. Waelkens, M. J. Barlow, F. Kerschbaum, P. Garcia-Lario, J. Cernicharo, J. A. D. L. Blommaert, J. Bouwman, M. Cohen, N. Cox, L. Decin, K. Exter, W. K. Gear, H. L. Gomez, P. C. Hargrave, Th. Henning, D. Hutsemékers, R. J. Ivison, A. Jorissen, O. Krause, D. Ladjal, S. J. Leeks, T. L. Lim, M. Matsuura, Y. Nazé, G. Olofsson, R. Ottensamer, E. Polehampton, T. Posch, G. Rauw, P. Royer, B. Sibthorpe, B. M. Swinyard, T. Ueta, C. Vamvatira-Nakou, B. Vandenbussche, G. C. Van de Steene, S. Van Eck, P. A. M. van Hoof, H. Van Winckel, E. Verdugo, R. Wesson

摘要:

MESS(演化恒星的质量损失)是一个保证时间密钥计划,使用赫歇尔空间天文台上的PACS和SPIRE仪器观测演化恒星的代表性样本,包括渐近巨星分支(AGB)和后AGB恒星,行星状星云和红超巨星,以及明亮的蓝色变星,沃尔夫-拉叶星和超新星遗迹。总共有150个物体在成像中被观察到,大约50个物体在光谱学中被观察到。本文介绍了目标选择和目标列表,以及观测策略。关键的科学项目进行了描述,并说明使用赫歇尔的科学演示阶段期间获得的结果。给出了截至2010年10月17日观测到的70颗AGB和post-AGB恒星的孔径测光,这构成了晚型恒星远红外和亚毫米通量的最大单一统一数据库。

英文摘要:

MESS (Mass-loss of Evolved StarS) is a Guaranteed Time Key Program that uses the PACS and SPIRE instruments on board the Herschel Space Observatory to observe a representative sample of evolved stars, that include asymptotic giant branch (AGB) and post-AGB stars, planetary nebulae and red supergiants, as well as luminous blue variables, Wolf-Rayet stars and supernova remnants. In total, of order 150 objects are observed in imaging and about 50 objects in spectroscopy. This paper describes the target selection and target list, and the observing strategy. Key science projects are described, and illustrated using results obtained during Herschel's science demonstration phase. Aperture photometry is given for the 70 AGB and post-AGB stars observed up to October 17, 2010, which constitutes the largest single uniform database of far-IR and sub-mm fluxes for late-type stars.

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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