pyTANSPEC v1.0 and HxRGproc: Updated packages to Clean and Reduce TANSPEC data
Varghese Reji, Joe P. Ninan, Supriyo Ghosh, Devendra K. Ojha, Saurabh Sharma

TL;DR
This paper introduces upgraded Python packages, pyTANSPEC v1.0 and HxRGproc, enhancing data reduction, calibration, and cleaning capabilities for TANSPEC spectrograph data across all modes and slits.
Contribution
The work provides a comprehensive upgrade to the data processing pipelines, enabling reduction of all slit modes, improved wavelength calibration, and detector data cleaning for TANSPEC.
Findings
Supports reduction of spectra from all slits in both modes.
Implements a template-matching method for precise wavelength calibration.
Includes flux calibration and detector data cleaning features.
Abstract
TIFR-ARIES Near-Infrared Spectrometer (TANSPEC) is a spectrograph-cum-imager operating over the wavelength range m. The instrument is mounted on the 3.6-m Devasthal Optical Telescope (3.6-m DOT). It offers two resolution modes: Low Resolution (LR) with and Cross-Dispersed (XD) via various slits of different widths (0.5", 0.75", 1.0", 1.5", 2.0" and 4.0"). The LR mode provides a resolving power () of , while the XD mode achieves using the 0.5" slit. The previous version of the data reduction pipeline supported only wavelength-calibrated XD mode spectra and was limited to two slits (S-0.5 and S-1.0). In this work, we present an upgraded version of pyTANSPEC. The upgraded pipeline not only improves the data extraction algorithm but also introduces several new features for users. It now enables the reduction of spectra from all…
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