论文标题
Soxs数据还原管道
The SOXS Data-Reduction Pipeline
论文作者
论文摘要
Soxs是双臂光谱仪（UV-VIS＆NIR）和AC，原因是在La Silla的ESO 36M NTT上安装。该仪器旨在同时覆盖350-2050 nm的光学和NIR波长范围，该仪器将专门用于研究瞬态和可变事件，并具有许多预期的机会请求目标。 SOXS数据减少管道的目的是使用校准数据来删除每种支持的仪器模式的Soxs科学数据框架中的所有仪器签名，将这些数据转换为物理单位，并将其与ESO SAF的相关误差栏交付给ESO SAF为3阶段符合的科学数据产品，所有这些数据都在30分钟内。主要还原产物将是校准，渗透性，仔细校正的1D频谱，将UV-VIS + NIR组缝合在一起。该管道还将生成QC指标，以监视望远镜，仪器和检测器健康。 该管道用Python 3编写，并以一种敏捷的发展哲学为基础，其中包括自适应计划和进化发展。该管道将由Soxs联盟和一般用户社区使用，可能需要执行Soxs数据的量身定制处理。使用“极端”模拟数据在整个构建过程中都使用了测试驱动的开发。我们的目标是使管道易于安装，广泛，清晰地记录下来。
The SOXS is a dual-arm spectrograph (UV-VIS & NIR) and AC due to mounted on the ESO 3.6m NTT in La Silla. Designed to simultaneously cover the optical and NIR wavelength range from 350-2050 nm, the instrument will be dedicated to the study of transient and variable events with many Target of Opportunity requests expected. The goal of the SOXS Data Reduction pipeline is to use calibration data to remove all instrument signatures from the SOXS scientific data frames for each of the supported instrument modes, convert this data into physical units and deliver them with their associated error bars to the ESO SAF as Phase 3 compliant science data products, all within 30 minutes. The primary reduced product will be a detrended, wavelength and flux calibrated, telluric corrected 1D spectrum with UV-VIS + NIR arms stitched together. The pipeline will also generate QC metrics to monitor telescope, instrument and detector health. The pipeline is written in Python 3 and has been built with an agile development philosophy that includes adaptive planning and evolutionary development. The pipeline is to be used by the SOXS consortium and the general user community that may want to perform tailored processing of SOXS data. Test driven development has been used throughout the build using `extreme' mock data. We aim for the pipeline to be easy to install and extensively and clearly documented.
