An Automated Pipeline for the VST Data Log Analysis
Salvatore Savarese, Pietro Schipani, Giulio Capasso, Mirko Colapietro, Sergio D'Orsi, Laurent Marty, Francesco Perrotta
备注：
4 pages, 2 figures, submitted to the proceedings of the Astronomical Data Analysis Software and Systems (ADASS) XXX. This is a replacement to correct a problem with the pdflatex command which prevented to obtain the correct pdf output
The VST Telescope Control Software logs continuously detailed information about the telescope and instrument operations. Commands, telemetries, errors, weather conditions and anything may be relevant for the instrument maintenance and the identification of problem sources is regularly saved. All information are recorded in textual form. These log files are often examined individually by the observatory personnel for specific issues and for tackling problems raised during the night. Thus, only a minimal part of the information is normally used for daily maintenance. Nevertheless, the analysis of the archived information collected over a long time span can be exploited to reveal useful trends and statistics about the telescope, which would otherwise be overlooked. Given the large size of the archive, a manual inspection and handling of the logs is cumbersome. An automated tool with an adequate user interface has been developed to scrape specific entries within the log files, process the data and display it in a comprehensible way. This pipeline has been used to scan the information collected over 5 years of telescope activity.
An Automated Photometric Pipeline for the 80cm Xizang University Telescope
The Key Laboratry of Cosmic Rays (Xizang University), Ministry of Education（西藏大学宇宙射线教育部重点实验室）；Department of Physics, College of Science, Xizang University（西藏大学理学院物理系）；National Astronomical Observatories, Chinese Academic of Sciences（中国科学院国家天文台）；College of Physics and Optoelectronic Engineering, Leshan Normal University（乐山师范学院物理与光电工程学院）；Key Laboratory of Detection and Application of Space Effect in Southwest Sichuan（川西南空间效应探测与应用重点实验室）；Center for Applied Optics Research, Leshan Normal University（乐山师范学院应用光学研究中心）；The Experimental High School Attached to Beijing Normal University（北京师范大学附属实验中学）
DHARA: Data Handling and Automated Reduction pipeline for AIMPOL
Foundation for Research and Technology - Hellas（希腊研究与技术基金会）；Physical Research Laboratory（物理研究实验室）；Aryabhatta Research Institute of Observational Sciences（阿亚帕塔观测科学研究所）；University of Crete（克里特大学）；Maulana Azad National Institute of Technology（莫拉纳·阿扎德国立理工学院）
A Fully Automated Integral Field Spectrograph Pipeline for the SEDMachine: pysedm
目前的时间域设施每周都会发现数百个新的银河系和银河系外瞬变。对数量不断增加的瞬变进行分类是一项挑战，但对于进一步了解它们的性质，发现新的类别或确保样品纯度至关重要，例如超新星Ia宇宙学。兹威基临时设施就是这种调查的一个例子。此外，它还有一个专用的极低分辨率摄谱仪，SEDMachine，在Palomar 60英寸望远镜上运行。这个光谱仪的主要目的是物体分类。在实践中，大多数，如果不是全部，感兴趣的瞬变亮于~19 mag的类型。这相当于一晚上大约有10到15个目标。在本文中，我们提出了一个全自动流水线的SEDMachine。这条管道的设计是快速、坚固、稳定和非常灵活的。pysedm能够在曝光结束后不到5分钟内实现目标点源物体的全自动光谱提取。光谱颜色校准在百分之几的水平上是准确的。自2018年8月初pysedm投入生产以来的19周内，我们已经对大约400颗Ia型超新星和140颗II型超新星进行了分类。我们的结论是，低分辨率，全自动摄谱仪，如安装在南半球2米级望远镜上的“SEDMachine with pysedm”，可以让我们自动和同时输入并获得LSST在z<0.2范围内检测到的大多数（如果不是全部的话）明亮瞬变的红移，特别是潜在的所有Ia型超新星。与当前的SEDM设计相比，这将需要更高的光谱分辨率（R~1000）和略微改进的吞吐量。考虑到这一点，pysedm被设计成可以轻松地适应任何…
AVICA: A fully automated CASA pipeline for large volume VLBI data calibration
Institute of Astrophysics, Foundation for Research and Technology – Hellas（希腊研究基金会天体物理研究所）；Department of Physics, University of Crete（克里特大学物理系）；Department of Astrophysics, Institute for Mathematics, Astrophysics and Particle Physics (IMAPP), Radboud University（拉德堡德大学数学、天体物理和粒子物理研究所天体物理学系）
