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pyTANSPEC:一个用于TANSPEC的数据归约软件包

pyTANSPEC: A Data Reduction Package for TANSPEC

Supriyo Ghosh, Joe P. Ninan, Devendra K. Ojha, Saurabh Sharma

AI总结:

本文提出pyTANSPEC流水线,用于自动化处理TANSPEC XD-mode近红外光谱数据,实现从原始帧识别、清理到多级次波长校准光谱输出的完整归约流程,显著减少人工干预和时间成本。

摘要:

TIFR-ARIES近红外光谱仪(TANSPEC)仪器提供从0.55至2.5微米的同步波长覆盖,安装于印度最大的地面望远镜——位于印度奈尼塔尔的3.6米Devasthal光学望远镜上。TANSPEC提供三种观测模式:使用多种滤光片的成像、低分辨率棱镜模式光谱(导出R~100-400)以及高分辨率交叉色散模式(XD-mode,导出中值R~2750,适用于0.5角秒宽度的狭缝)。在XD-mode中,十个交叉色散级次被封装在2048 x 2048像素的探测器上,以覆盖整个波长范围。由于XD-mode使用最为频繁,同时为了实现所有级次的一致数据归约并减少数据归约时间,亟需一个专用流水线。在本文中,我们介绍了TANSPEC XD-mode数据归约的代码、其工作流程、输入/输出文件,以及在一个特定数据集上的实现展示。该公开可用的流水线pyTANSPEC完全使用Python开发,仅在归约数据的质量保证环节需要极少的人工干预。两个定制的配置文件用于指导数据归约。该流水线根据给定数据目录中所有fits文件的头信息创建日志文件,基于用户输入识别正确的帧(科学帧、连续谱帧和校准灯帧),并为用户提供目视检查和接受/移除帧的选项,对原始科学帧进行清理,并同时产出所有级次的最终波长校准光谱。

英文摘要:

The TIFR-ARIES Near Infrared Spectrometer (TANSPEC) instrument provides simultaneous wavelength coverage from 0.55 to 2.5 micron, mounted on India's largest ground-based telescope, 3.6-m Devasthal Optical Telescope at Nainital, India. The TANSPEC offers three modes of observations, imaging with various filters, spectroscopy in the low-resolution prism mode with derived R~ 100-400 and the high-resolution cross-dispersed mode (XD-mode) with derived median R~ 2750 for a slit of width 0.5 arcsec. In the XD-mode, ten cross-dispersed orders are packed in the 2048 x 2048 pixels detector to cover the full wavelength regime. As the XD-mode is most utilized as well as for consistent data reduction for all orders and to reduce data reduction time, a dedicated pipeline is at the need. In this paper, we present the code for the TANSPEC XD-mode data reduction, its workflow, input/output files, and a showcase of its implementation on a particular dataset. This publicly available pipeline pyTANSPEC is fully developed in Python and includes nominal human intervention only for the quality assurance of the reduced data. Two customized configuration files are used to guide the data reduction. The pipeline creates a log file for all the fits files in a given data directory from its header, identifies correct frames (science, continuum and calibration lamps) based on the user input, and offers an option to the user for eyeballing and accepting/removing of the frames, does the cleaning of raw science frames and yields final wavelength calibrated spectra of all orders simultaneously.

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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