利用斯威夫特/紫外可见分光光度计表征伯克利 39 的蓝色和黄色杂星

Komal Chand, Khushboo Rao, Kaushar Vaidya, Anju Panthi
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引用次数: 0

摘要

我们利用包括Swift/UVOT在内的多波长观测数据,描述了开放星团(OC)伯克利39的蓝色杂星(BSS)和黄色杂星(YSS)的特征。我们的分析还利用了来自GALEX的紫外线(UV)数据、来自Gaia DR3和Pan-STARRS的光学数据,以及来自2MASS、Spitzer/IRAC和WISE的红外线数据。伯克利 39 是一个年龄约为 6 Gyr 的银河 OC,距离约为 4200 pc。我们利用机器学习算法 ML-MOC 在 Gaia DR3 数据上识别出 729 个源作为星团成员。其中,17 个源被归类为 BSS 候选者,4 个源被归类为 YSS 候选者。我们构建了斯威夫特/UVOT场中16个BSS候选源和2个YSS候选源的多波长光谱能量分布(SED),以分析它们的特性。其中,8 个 BSS 候选天体和两个 YSS 候选天体都成功拟合了单分量 SED。5个BSS候选天体在近紫外出现了轻微的过量(除一个UVOT滤光片外,其他滤光片的残差分数都小于0.3),而3个BSS候选天体在近紫外出现了中等到显著的过量(至少两个UVOT滤光片的残差分数大于0.3)。我们介绍了根据 SED 拟合结果估算出的 BSS 和 YSS 候选天体的性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of blue and yellow straggler stars of Berkeley 39 using Swift/UVOT
We characterize blue straggler stars (BSS) and yellow straggler stars (YSS) of an open cluster (OC) Berkeley 39 using multi-wavelength observations including Swift/UVOT. Our analysis also makes use of ultraviolet (UV) data from GALEX, optical data from Gaia DR3 and Pan-STARRS, and infrared data from 2MASS, Spitzer/IRAC, and WISE. Berkeley 39 is a ~6 Gyr old Galactic OC located at a distance of ~4200 pc. We identify 729 sources as cluster members utilizing a machine learning algorithm, ML-MOC, on Gaia DR3 data. Of these, 17 sources are classified as BSS candidates and four as YSS candidates. We construct multi-wavelength spectral energy distributions (SEDs) of 16 BSS and 2 YSS candidates, within the Swift/UVOT field, to analyze their properties. Out of these, 8 BSS candidates and both the YSS candidates are successfully fitted with single-component SEDs. Five BSS candidates show marginal excess in the near-UV (fractional residual < 0.3 in all but one UVOT filter), whereas three BSS candidates show moderate to significant excess in the near-UV (fractional residual > 0.3 in at least two UVOT filters). We present the properties of the BSS and YSS candidates, estimated based on the SED fits.
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