论文标题
PAU调查：窄带图像光度法
The PAU Survey: Narrow-band image photometry
论文作者
论文摘要
Paucam是一家创新的光学窄带成像仪，该成像师安装在为加速宇宙调查（PAUS）物理学的William Herschel望远镜上安装。它的40个过滤器集将产生复杂校准的图像，并具有无法使用传统数据减少技术处理的特定仪器签名。在本文中，我们介绍了PAUS数据管理团队开发的两个管道，目的是从未校准的原始图像中生产科学就绪的目录。夜间管道采用所有图像处理，并具有定制算法用于光度校准和散射光校正的算法。多上中和多波段分析（MEMBA）管道在参考目录上执行强制光度法，以优化光度红移性能。我们验证光谱观察结果，即当前方法在40个窄带集中提供0.8％的带间光度校准。每天晚上产生的大量数据和快速调查策略的反馈约束需要在D'InformacióCientifica港口数据中心操作两个管道，并具有紧密的并行化。尽管正在研究以进一步改进照片-Z性能的替代算法，但这项工作中介绍的图像校准和光度法已经使最新的光度红移降至IAB = 23.0。
PAUCam is an innovative optical narrow-band imager mounted at the William Herschel Telescope built for the Physics of the Accelerating Universe Survey (PAUS). Its set of 40 filters results in images that are complex to calibrate, with specific instrumental signatures that cannot be processed with traditional data reduction techniques. In this paper we present two pipelines developed by the PAUS data management team with the objective of producing science-ready catalogues from the uncalibrated raw images. The Nightly pipeline takes care of all image processing, with bespoke algorithms for photometric calibration and scatter-light correction. The Multi-Epoch and Multi-Band Analysis (MEMBA) pipeline performs forced photometry over a reference catalogue to optimize the photometric redshift performance. We verify against spectroscopic observations that the current approach delivers an inter-band photometric calibration of 0.8% across the 40 narrow-band set. The large volume of data produced every night and the rapid survey strategy feedback constraints require operating both pipelines in the Port d'Informació Cientifica data centre with intense parallelization. While alternative algorithms for further improvements in photo-z performance are under investigation, the image calibration and photometry presented in this work already enable state-of-the-art photometric redshifts down to iAB=23.0.
