The Data Processing of the LAMOST Medium-Resolution Spectral Survey of Galactic Nebulae (LAMOST MRS-N Pipeline)

TL;DR

This paper introduces the MRS-N Pipeline, a comprehensive data processing system designed to improve the accuracy of nebulae classification and parameter measurement in the LAMOST medium-resolution spectral survey of Galactic Nebulae.

Contribution

The paper presents a detailed data processing pipeline specifically developed for nebular data in the LAMOST MRS-N survey, filling a gap in existing data analysis tools.

Findings

Successfully processed over 190,000 nebular spectra

Enhanced accuracy in nebulae classification and parameter estimation

Provided comprehensive data products including spectra and catalogs

Abstract

The Large sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) medium-resolution spectral survey of Galactic Nebulae (MRS-N) has conducted for three years since Sep. 2018 and observed more than 190 thousands nebular spectra and 20 thousands stellar spectra. However, there is not yet a data processing pipeline for nebular data. To significantly improve the accuracy of nebulae classification and their physical parameters, we developed the MRS-N Pipeline. This article presented in detail each data processing step of the MRS-N Pipeline, such as removing cosmic rays, merging single exposure, fitting sky light emission lines, subtracting skylight, wavelength recalibration, measuring nebular parameters, creating catalogs and packing spectra. Finally, a description of the data products, including nebular spectra files and parameter catalogs, is provided.