arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1702.00834astro-ph.IMastro-ph.EPastro-ph.GAastro-ph.SR
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PHOTOMETRYPIPELINE:一种用于校准Photometry的自动化流水线

PHOTOMETRYPIPELINE: An Automated Pipeline for Calibrated Photometry

Michael Mommert

摘要:

PHOTOMETRYPIPELINE(PP)是一个自动化的流水线,它通过图像配准、光圈光度测定、光度测定校准和目标识别,从成像数据中生成校准的光度测定,只需最少的人工交互。PP利用广泛使用的Source Extractor软件进行源识别和孔径光度测定; SCAMP用于图像配准。图像配准和光度校准都是基于匹配的现场明星与星表,需要各自领域的目录覆盖。许多不同的天体测量和测光星表可以在线查询。依靠足够数量的背景恒星进行图像配准和光度校准,PP非常适合分析中小型望远镜的数据。相对于登记中使用的星表,PP获得的校准星等通常精确到0.03等,天体测量精度为0.3弧秒。该管道由一个用Python 2.7编写的开源软件套件组成,可以在简单的桌面机器上运行在基于Unix的系统上,并能够进行实时数据分析。PP是为观测移动目标而开发的,但也可用于分析任何类型的点源观测。

英文摘要:

PHOTOMETRYPIPELINE (PP) is an automated pipeline that produces calibrated photometry from imaging data through image registration, aperture photometry, photometric calibration, and target identification with only minimal human interaction. PP utilizes the widely used Source Extractor software for source identification and aperture photometry; SCAMP is used for image registration. Both image registration and photometric calibration are based on matching field stars with star catalogs, requiring catalog coverage of the respective field. A number of different astrometric and photometric catalogs can be queried online. Relying on a sufficient number of background stars for image registration and photometric calibration, PP is well-suited to analyze data from small to medium-sized telescopes. Calibrated magnitudes obtained by PP are typically accurate within 0.03 mag and astrometric accuracies are of the order of 0.3 arcsec relative to the catalogs used in the registration. The pipeline consists of an open-source software suite written in Python 2.7, can be run on Unix-based systems on a simple desktop machine, and is capable of realtime data analysis. PP has been developed for observations of moving targets, but can be used for analyzing point source observations of any kind.

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。

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