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The ESO/VLT 3rd year Type Ia supernova data set from?the?supernova?legacy?survey

机译:来自“超新星”传统调查的ESO / VLT第3年Ia类超新星数据集

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Aims. We present 139 spectra of 124 Type Iasupernovae (SNeIa) that were observed at the ESO/VLT duringthe first three years of the Canada-France-Hawa? Telescope (CFHT)supernova legacy survey (SNLS). This homogeneous data set is used totest for redshift evolution of SNIa spectra, and will be usedin the SNLS 3rd year cosmological analyses. Methods. Spectra have been reduced and extractedwith a dedicated pipeline that uses photometric information from deepCFHT legacy survey (CFHT-LS) reference images to trace, at sub-pixelaccuracy, the position of the supernova on the spectrogram as afunction of wavelength. It also separates the supernova and its hostlight in 60%of cases. The identification of the supernova candidates is performedusing a spectrophotometric SNIa model. Results. A total of 124 SNeIa, roughly 50%of the overall SNLS spectroscopic sample, have been identified usingthe ESO/VLT during the first three years of the survey. Their redshiftsrange from z=0.149 to z=1.031.The average redshift of the sample is.This constitutes the largest SNIa spectral set to date inthis redshift range. The spectra are presented along with theirbest-fit spectral SNIa model and a host model where relevant.In the latter case, a host subtracted spectrum is also presented. Weproduce average spectra for pre-maximum, maximum and post-maximumepochs for both z<0.5 and SNeIa. We find that z<0.5 spectrahave deeper intermediate mass element absorptions than spectra. The differences with redshift are consistent with theselection of brighter and bluer supernovae at higher redshift. Key words: cosmology: observations -supernovae: general - methods: data analysis - techniques:spectroscopic
机译:目的我们介绍了在加拿大-法国-哈瓦河的前三年在ESO / VLT上观测到的124个超新星(SNeIa)的139个光谱。望远镜(CFHT)超新星遗留测量(SNLS)。这个同质的数据集用于测试SNIa光谱的红移演变,并将用于SNLS第三年的宇宙学分析。方法。光谱已通过专用管道进行了缩减和提取,该管道使用来自DeepCFHT传统勘测(CFHT-LS)参考图像的光度信息,以亚像素精度跟踪超新星在光谱图上的位置与波长的关系。它还在60%的情况下将超新星及其宿主光分开。使用分光光度SNIa模型进行超新星候选者的识别。结果。在调查的前三年中,使用ESO / VLT鉴定出了总共124个SNeIa,大约占整个SNLS光谱样品的50%。它们的红移范围是从z = 0.149到z = 1.031。样本的平均红移为s,这构成了迄今为止在该红移范围内设置的最大SNIa光谱。给出了光谱以及它们的最佳拟合光谱SNIa模型和相关的宿主模型;在后一种情况下,还显示了宿主减去谱。我们生成z <0.5和SNeIa的最大前,最大和后最大峰的平均光谱。我们发现z <0.5光谱比光谱具有更深的中间质量元素吸收。红移的差异与较高红移时更亮和更蓝的超新星的选择一致。关键词:宇宙学:观测-超新星:一​​般-方法:数据分析-技术:光谱学

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