我们希望对LSST数据执行的所有操作，但我们（目前）还不知道如何执行
Everything we'd like to do with LSST data, but we don't know (yet) how
摘要：
位于智利帕雄山的下一代光学成像巡天望远镜-大型综合巡天望远镜将提供一个前所未有的天文测量数据库。LSST的设计，与8.4米（6.7米有效）主镜，9.6平方米。°的视野，和一个3.2千兆像素的摄像头，将允许约10,000平方米。°的平均每三到四个晚上覆盖两次天空，点源的典型5-sigma深度为$r$ =24.5（AB）。在10年的时间里，在$ugrizy$波段进行了800多次观测，这些数据将使深度叠加达到$r$ =27.5（比SDSS深约5个星等）和微弱的时域天文学。新发现和已知的天体测量和光度瞬变的测量特性将在观测后60秒内公开报道。这个庞大的数据库包含400亿个物体的约30万亿次观测数据，将被挖掘出来，用于天体物理学的精密实验。除了对LSST的简要介绍外，我们还讨论了从LSST数据集中提取最大信息和科学结果所需要克服的一些天文统计挑战。
英文摘要：
The Large Synoptic Survey Telescope (LSST), the next-generation optical imaging survey sited at Cerro Pachon in Chile, will provide an unprecedented database of astronomical measurements. The LSST design, with an 8.4m (6.7m effective) primary mirror, a 9.6 sq. deg. field of view, and a 3.2 Gigapixel camera, will allow about 10,000 sq. deg. of sky to be covered twice per night, every three to four nights on average, with typical 5-sigma depth for point sources of $r$=24.5 (AB). With over 800 observations in $ugrizy$ bands over a 10-year period, these data will enable a deep stack reaching $r$=27.5 (about 5 magnitudes deeper than SDSS) and faint time-domain astronomy. The measured properties of newly discovered and known astrometric and photometric transients will be publicly reported within 60 sec after observation. The vast database of about 30 trillion observations of 40 billion objects will be mined for the unexpected and used for precision experiments in astrophysics. In addition to a brief introduction to LSST, we discuss a number of astro-statistical challenges that need to be overcome to extract maximum information and science results from LSST dataset.
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。
