IPHAS and the symbiotic stars. I. Selection method and first discoveries
IPHAS and the symbiotic stars. I. Selection method and first discoveries
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IPHAS 和共生星。
DOI：
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发表时间：
2007
期刊：
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通讯作者：
J. Sokoloski
中科院分区：
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作者：
R. Corradi;E. R. Rodr'iguez;A. Mampaso;R. Greimel;K. Viironen;J. Drew;D. Lennon;J. Mikołajewska;L. Sabin;J. Sokoloski
上下文共生星的研究对于理解相互作用双星中恒星演化的重要方面是必不可少的。然而，他们在银河系中观测到的人口却知之甚少，比预测的人口规模小一到三个数量级。目标。IPHAS是对北方银河平面的INT测光Ha巡天，它使我们有机会在有限的星等范围内对共生星进行系统、完整的搜索，并发现大量的新系统。方法.提出了一种结合IPHAS和近红外（2MASS）色选择共生星候选星的方法。它使我们能够区分共生双星从正常的恒星和大多数其他类型的Ha发射线的恒星在银河系中。唯一的例外是金牛座T星，但可以识别，因为它们集中在星星形成区。结果利用这些选择准则，我们讨论了4338个IPHAS星的分类与Ha的发射。其中1500到2000颗可能是Be星。在剩下的天体中，有1183颗符合我们的光度限制，被认为是候选共生星。其中三个天体是IPHAS发现的第一批新的共生星，它们的光谱确认证明了调查和选择方法的潜力。
Context. The study of symbiotic stars is essential to understand important aspects of stellar evolution in interacting binaries. Their observed population in the Galaxy is however poorly known, and is one to three orders of magnitudes smaller than the predicted population size. Aims. IPHAS, the INT Photometric Ha survey of the Northern Galactic plane, gives us the opportunity to make a systematic, complete search for symbiotic stars in a magnitude-limited volume, and discover a significant number of new systems. Methods. A method of selecting candidate symbiotic stars by combining IPHAS and near-IR (2MASS) colours is presented. It allows us to distinguish symbiotic binaries from normal stars and most of the other types of Ha emission line stars in the Galaxy. The only exception are T Tauri stars, which can however be recognized because of their concentration in star forming regions. Results. Using these selection criteria, we discuss the classification of a list of 4338 IPHAS stars with Ha in emission. 1500 to 2000 of them are likely to be Be stars. Among the remaining objects, 1183 fulfill our photometric constraints to be considered candidate symbiotic stars. The spectroscopic confirmation of three of these objects, which are the first new symbiotic stars discovered by IPHAS, proves the potential of the survey and selection method.