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arXiv 1102.1485astro-ph.CO
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斯隆数字巡天低红移Ia型超新星速率的光谱测定

Spectroscopic Determination of the Low Redshift Type Ia Supernova Rate from the Sloan Digital Sky Survey

K. Simon Krughoff, Andrew Connolly, Joshua Frieman, Mark SubbaRao, Gary Kilper, Donald Schneider

摘要:

超新星爆发率与大质量恒星的诞生和演化直接相关。因此,它们是宇宙恒星演化历史的少数直接测量方法之一。在本文中,我们描述了一种概率技术,用于识别超新星光谱样品的星系。我们对52颗Ia型超新星进行了研究,这些超新星的年龄从-14天到+40天不等,它们是从SDSS DR 5的\simeq 50,000个光谱的母样本中提取的。在红移= 0.1处,我们发现超新星速率(SNR)为0.472^{+0.048}-0.039}(系统)^{+0.081}-0.071}(统计)SNu<z>。在1σ低红移时,该值高于其它值,但在3σ水平上是一致的。本研究中使用的52颗超新星候选者是迄今为止用于Ia型超新星速率测定的第三大超新星样本。在本文中,我们展示了潜在的所描述的方法,用于检测超新星在未来的光谱调查。

英文摘要:

Supernova rates are directly coupled to high mass stellar birth and evolution. As such, they are one of the few direct measures of the history of cosmic stellar evolution. In this paper we describe an probabilistic technique for identifying supernovae within spectroscopic samples of galaxies. We present a study of 52 type Ia supernovae ranging in age from -14 days to +40 days extracted from a parent sample of \simeq 50,000 spectra from the SDSS DR5. We find a Supernova Rate (SNR) of 0.472^{+0.048}_{-0.039}(Systematic)^{+0.081}_{-0.071}(Statistical)SNu at a redshift of <z> = 0.1. This value is higher than other values at low redshift at the 1σ, but is consistent at the 3σ level. The 52 supernova candidates used in this study comprise the third largest sample of supernovae used in a type Ia rate determination to date. In this paper we demonstrate the potential for the described approach for detecting supernovae in future spectroscopic surveys.

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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