The SED Machine: A Robotic Spectrograph for Fast Transient Classification

The SED Machine: A Robotic Spectrograph for Fast Transient Classification
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DOI:
10.1088/1538-3873/aaa53f
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发表时间:
2018-03-01
影响因子:
3.5
通讯作者:
Vyhmeister, Karl E.
Vyhmeister, Karl E.
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Blagorodnova, Nadejda;Neill, James D.;Vyhmeister, Karl E.

文献摘要

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目前的时域设施每年发现数百个瞬变天文事件。随着新的巡天计划如Zwicky Transient Facility(ZTF)和Large Synoptic Sky Survey(LSST)的上线,发现率有望在未来增加。目前,瞬变的分类率比发现率低大约一个数量级或数量级,导致越来越多的“后续干旱”。现有的中等孔径望远镜可以帮助解决这一缺陷时,配备光谱分类优化的摄谱仪。在这里,我们提供了一个概述的设计,操作和光谱能量分布机(SEDM),帕洛玛60英寸望远镜(P60)上运行的第一个结果。该仪器针对分类和高观测效率进行了优化。它将低分辨率(R类似于100)积分场单位(IFU)光谱仪与“彩虹相机”(RC)结合在一起,彩虹相机是一种多波段场采集相机,也可用作多波段(ugri)光度计。SEDM是在Palomar Transient Factory(iPTF)的运营期间投入使用的,并且已经实现了其承诺。SEDM的成功证明了为光谱分类优化的光谱仪的价值。
Current time domain facilities are finding several hundreds of transient astronomical events a year. The discovery rate is expected to increase in the future as soon as new surveys such as the Zwicky Transient Facility (ZTF) and the Large Synoptic Sky Survey (LSST) come online. Presently, the rate at which transients are classified is approximately one order or magnitude lower than the discovery rate, leading to an increasing "follow-up drought". Existing telescopes with moderate aperture can help address this deficit when equipped with spectrographs optimized for spectral classification. Here, we provide an overview of the design, operations and first results of the Spectral Energy Distribution Machine (SEDM), operating on the Palomar 60-inch telescope (P60). The instrument is optimized for classification and high observing efficiency. It combines a low-resolution (R similar to 100) integral field unit (IFU) spectrograph with "Rainbow Camera" (RC), a multi-band field acquisition camera which also serves as multi-band (ugri) photometer. The SEDM was commissioned during the operation of the intermediate Palomar Transient Factory (iPTF) and has already lived up to its promise. The success of the SEDM demonstrates the value of spectrographs optimized for spectral classification.