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Strongly lensed SNe Ia in the era of LSST: observing cadence for lens discoveries and time-delay measurements

机译:LSST时代的强透镜SNe Ia:观察节奏以发现透镜和测量时延

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The upcoming Large Synoptic Survey Telescope (LSST) will detect many strongly lensed Type Ia supernovae (LSNe Ia) for time-delay cosmography. This will provide an independent and direct way for measuring the Hubble constant H _(0), which is necessary to address the current 4.4 σ tension in H _(0)between the local distance ladder and the early Universe measurements. We present a detailed analysis of different observing strategies (also referred to as cadence strategy) for the LSST, and quantify their impact on time-delay measurement between multiple images of LSNe Ia. For this, we simulated observations by using mock LSNe Ia for which we produced mock-LSST light curves that account for microlensing. Furthermore, we used the free-knot splines estimator from the software PyCS to measure the time delay from the simulated observations. We find that using only LSST data for time-delay cosmography is not ideal. Instead, we advocate using LSST as a discovery machine for LSNe Ia, enabling time delay measurements from follow-up observations from other instruments in order to increase the number of systems by a factor of 2–16 depending on the observing strategy. Furthermore, we find that LSST observing strategies, which provide a good sampling frequency (the mean inter-night gap is around two days) and high cumulative season length (ten seasons with a season length of around 170 days per season), are favored. Rolling cadences subdivide the survey and focus on different parts in different years; these observing strategies trade the number of seasons for better sampling frequency. In our investigation, this leads to half the number of systems in comparison to the best observing strategy. Therefore rolling cadences are disfavored because the gain from the increased sampling frequency cannot compensate for the shortened cumulative season length. We anticipate that the sample of lensed SNe Ia from our preferred LSST cadence strategies with rapid follow-up observations would yield an independent percent-level constraint on H _(0).
机译:即将面世的大型天气观测望远镜(LSST)将检测许多强透镜的Ia型超新星(LSNe Ia),用于时延宇宙摄影。这将提供一种独立且直接的方式来测量哈勃常数H _(0),这对于解决局部距离阶梯和早期宇宙测量之间H _(0)中当前的4.4σ张力是必需的。我们对LSST的不同观测策略(也称为节奏策略)进行了详细分析,并量化了它们对LSNe Ia多个图像之间的时延测量的影响。为此,我们通过使用模拟LSNe Ia模拟观察结果,为此我们产生了模拟LST的模拟微透镜光曲线。此外,我们使用了来自PyCS软件的自由结样条估计器来测量模拟观测值的时间延迟。我们发现仅将LSST数据用于时延宇宙照相是不理想的。相反,我们提倡将LSST用作LSNe Ia的发现机,通过其他仪器的后续观测来进行时延测量,以便根据观测策略将系统数量增加2-16倍。此外,我们发现LSST观测策略受到青睐,该策略提供了良好的采样频率(平均夜间间隔约为两天)和较高的累积季节长度(十个季节,每个季节的季节长度约为170天)。滚动节奏可细分调查,并专注于不同年份的不同部分;这些观测策略以季节数为代价,以获得更好的采样频率。在我们的调查中,与最佳观测策略相比,这导致系统数量减少了一半。因此,由于从增加的采样频率中获得的收益无法补偿缩短的累积季节长度,因此滚动节奏是不利的。我们预计,通过我们首选的LSST步调策略以及快速的后续观察,我们可以从透镜SNe Ia的样本中获得H _(0)的独立百分比约束。

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