论文标题
pytanspec：tanspec的数据减少软件包
pyTANSPEC: A Data Reduction Package for TANSPEC
论文作者
论文摘要
红外光谱仪（TANSPEC）仪器附近的TIFR-Aries提供的波长覆盖率从0.55至2.5微米，安装在印度印度Nainital的印度最大地面望远镜，3.6 m的Devasthal光学望远镜上。 TANSPEC提供了三种观测模式，具有各种过滤器的成像，在低分辨率Prism模式下具有衍生R〜100-400的光谱模式，以及宽度宽度0.5 Arcsec的狭缝的高分辨率跨分散模式（XD模式）。在XD模式中，在2048 x 2048像素探测器中填充了十个交叉分散订单，以覆盖完整的波长状态。由于XD模式最常使用，以及所有订单的一致数据降低并减少数据缩短时间，因此需要专用管道。在本文中，我们介绍了tanspec XD模式数据减少的代码，其工作流程，输入/输出文件以及在特定数据集中实现的展示。这种可公开的管道Pytanspec在Python中得到了充分的开发，仅用于降低数据的质量保证，包括名义人类干预。两个自定义配置文件用于指导数据减少。 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.
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.
