夏威夷超新星流：利用近红外上千颗超新星进行的本动速度巡天
Hawai'i Supernova Flows: A Peculiar Velocity Survey Using Over a Thousand Supernovae in the Near-Infrared
AI总结：
本文介绍夏威夷超新星流项目，基于1,217个暂现源（含668个Ia型超新星）的近红外观测，采用SNooPy EBV_model2获得最低0.165星等RMS弥散，旨在提供系统误差受限的距离并公开数据以促进宇宙学研究。
摘要：
我们介绍了夏威夷超新星流项目，并展示了首批观测到的1,217个天文暂现源的汇总统计，其中668个被光谱分类为Ia型超新星（SNe Ia）。我们的项目旨在以最少的专用观测资源获得受系统误差限制的SNe Ia距离。迄今为止，我们已对天文暂现源进行了近5,000次近红外（NIR）观测，并为超过200个缺乏已发表光谱红移的宿主星系获取了光谱。在这篇巡天论文中，我们描述了用于选择目标、收集/处理数据、计算距离以及进行质量筛选的方法。我们将我们的方法与类似研究中使用的方法进行了比较，发现总体一致或略有改进。我们的汇总统计包括使用几种常用SN Ia模型拟合生成的哈勃图中弥散的各种参数化。我们发现使用SNooPy软件包的EBV_model2时弥散最低，其均方根（RMS）偏差为0.165星等，归一化中位数绝对偏差（NMAD）为0.123星等。夏威夷超新星流数据集的全部效用远超本文所呈现的分析。我们的测光将为包含NIR数据的SN Ia模型提供宝贵的测试平台。比较光学样本以及光学与NIR组合样本的微分宇宙学研究将增强约束尘埃消光等色效应的能力。我们邀请社区探索我们的数据，公开提供光变曲线、拟合结果和宿主星系红移。
英文摘要：
We introduce the Hawai'i Supernova Flows project and present summary statistics of the first 1,217 astronomical transients observed, 668 of which are spectroscopically classified Type Ia Supernovae (SNe Ia). Our project is designed to obtain systematics-limited distances to SNe Ia while consuming minimal dedicated observational resources. To date, we have performed almost 5,000 near-infrared (NIR) observations of astronomical transients and have obtained spectra for over 200 host galaxies lacking published spectroscopic redshifts. In this survey paper we describe the methodology used to select targets, collect/reduce data, calculate distances, and perform quality cuts. We compare our methods to those used in similar studies, finding general agreement or mild improvement. Our summary statistics include various parametrizations of dispersion in the Hubble diagrams produced using fits to several commonly used SN Ia models. We find the lowest dispersions using the \texttt{SNooPy} package's EBV\_model2, with a root mean square (RMS) deviation of 0.165 mag and a normalized median absolute deviation (NMAD) of 0.123 mag. The full utility of the Hawai'i Supernova Flows data set far exceeds the analyses presented in this paper. Our photometry will provide a valuable test bed for models of SN Ia incorporating NIR data. Differential cosmological studies comparing optical samples and combined optical and NIR samples will have increased leverage for constraining chromatic effects like dust extinction. We invite the community to explore our data by making the light curves, fits, and host galaxy redshifts publicly accessible.
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