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arXiv 0901.4131astro-ph.CO
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从麦哲伦星系的VISTA巡天恢复LMC的恒星形成历史

On the Recovery of the Star Formation History of the LMC from the VISTA Survey of the Magellanic System

L. Kerber, L. Girardi, S. Rubele, M. -R. Cioni

摘要:

对麦哲伦星系(VMC)的VISTA近红外巡天将提供到达麦哲伦星云(MC)最古老转折点的恒星的深YJK测光。作为调查准备工作的一部分,我们的目标是获得从VMC数据中可以预期的恒星形成历史(SFH)的准确性,特别是对于LMC。为此,我们首先模拟VMC图像不仅包含大麦哲伦恒星星族,但也前景MW恒星和背景星系。我们在这些模拟图像上进行孔径测光,访问预期水平的光度误差和不完整性,并应用经典的SFH恢复技术的基础上重建的颜色幅度图(CMD)通过最小化的卡方统计。然后,我们评估恢复的恒星形成率作为恒星年龄的函数,SFR(t)的预期误差,从模型与已知的年龄-金属丰度关系(AMR)。事实证明,对于一个给定的天空区域,年龄大于0.4 Gyr的随机误差似乎与拥挤无关。对于~0.1平方度的空间分辨率,SFR(t)中的随机误差将低于20%。另一方面,由于小于0.4 Gyr的恒星的恒星统计数据较小,LMC外部区域将需要更大的面积才能达到SFR(t)的相同精度。如果我们认为AMR是未知的,则SFH恢复算法能够准确地恢复输入AMR,代价是SFR(t)中的随机误差增加约2.5倍。对不同距离模和红化进行的SFH恢复实验表明,SFR(t)中这些参数的误差传播意味着系统误差低于30%。

英文摘要:

The VISTA near infrared survey of the Magellanic System (VMC) will provide deep YJKs photometry reaching stars in the oldest turn-off point all over the Magellanic Clouds (MCs). As part of the preparation for the survey, we aim to access the accuracy in the Star Formation History (SFH) that can be expected from VMC data, in particular for the LMC. To this aim, we first simulate VMC images containing not only the LMC stellar populations but also the foreground MW stars and background galaxies. We perform aperture photometry over these simulated images, access the expected levels of photometric errors and incompleteness, and apply the classical technique of SFH-recovery based on the reconstruction of colour-magnitude diagrams (CMD) via the minimization of a chi-squared-like statistics. We then evaluate the expected errors in the recovered star formation rate as a function of stellar age, SFR(t), starting from models with a known Age--Metallicity Relation (AMR). It turns out that, for a given sky area, the random errors for ages older than ~0.4 Gyr seem to be independent of the crowding. For a spatial resolution of ~0.1 sqdeg, the random errors in SFR(t) will be below 20% for this wide range of ages. On the other hand, due to the smaller stellar statistics for stars younger than ~0.4 Gyr, the outer LMC regions will require larger areas to achieve the same level of accuracy in the SFR(t). If we consider the AMR as unknown, the SFH-recovery algorithm is able to accurately recover the input AMR, at the price of an increase of random errors in the SFR(t) by a factor of about 2.5. Experiments of SFH-recovery performed for varying distance modulus and reddening indicate that the propagation of the errors in these parameters in the SFR(t) implies systematic errors below 30%.

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