文章基本信息

标题：Pyspeckit: A Spectroscopic Analysis and Plotting Package
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作者：Adam Ginsburg ; Vlas Sokolov ; Miguel de Val-Borro 等
期刊名称：The Astronomical journal
印刷版ISSN：0004-6256
电子版ISSN：1538-3881
出版年度：2022
卷号：163
期号：6
页码：1-11
DOI：10.3847/1538-3881/ac695a
语种：English
出版社：American Institute of Physics
摘要：pyspeckit is a toolkit and library for spectroscopic analysis in Python. We describe the pyspeckit package and highlight some of its capabilities, such as interactively fitting a model to data, akin to the historically widely-used splot function in IRAF. pyspeckit employs the Levenberg–Marquardt optimization method via the mpfit and lmfit implementations, and important assumptions regarding error estimation are described here. Wrappers to use pymc and emcee as optimizers are provided. A parallelized wrapper to fit lines in spectral cubes is included. As part of the astropy affiliated package ecosystem, pyspeckit is open source and open development, and welcomes input and collaboration from the community.