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arXiv 0709.4488astro-ph
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确定超新星光谱的类型、红移和年龄

Determining the Type, Redshift, and Age of a Supernova Spectrum

Stéphane Blondin, John L. Tonry

摘要:

我们提出了一种算法来识别SN光谱的类型,并确定其红移和年龄。该算法基于Tyndle & Davis的相关技术,已在超新星识别(SNID)程序中实现。它被正在进行的高红移SN搜索的成员用来区分Ia型和Ib/c型SNe,并识别“特殊”的Ia型SNe。我们开发了一个诊断量化输入和模板光谱之间的相关性的质量,这使得相关的红移误差的正式评估。此外,通过比较使用SNID获得的相关红移与SN宿主星系光谱中的窄线确定的那些,我们表明,准确的红移(典型误差小于0.01)可以确定SNe Ia没有宿主星系的光谱。最后,输入光谱的年龄是以典型的3天精度确定的,这里显示的是使用高红移Ia超新星和良好采样的光变曲线。相关技术的成功证实了一些超新星Ia在低和高红移的相似性。SNID代码可供社区使用,也可用于SN光谱的比较研究以及数据和模型之间的比较。

英文摘要:

We present an algorithm to identify the type of an SN spectrum and to determine its redshift and age. This algorithm, based on the correlation techniques of Tonry & Davis, is implemented in the Supernova Identification (SNID) code. It is used by members of ongoing high-redshift SN searches to distinguish between type Ia and type Ib/c SNe, and to identify "peculiar" SNe Ia. We develop a diagnostic to quantify the quality of a correlation between the input and template spectra, which enables a formal evaluation of the associated redshift error. Furthermore, by comparing the correlation redshifts obtained using SNID with those determined from narrow lines in the SN host galaxy spectrum, we show that accurate redshifts (with a typical error less than 0.01) can be determined for SNe Ia without a spectrum of the host galaxy. Last, the age of an input spectrum is determined with a typical 3-day accuracy, shown here by using high-redshift SNe Ia with well-sampled light curves. The success of the correlation technique confirms the similarity of some SNe Ia at low and high redshifts. The SNID code, which is available to the community, can also be used for comparative studies of SN spectra, as well as comparisons between data and models.

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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