Pyspeckit: A Spectroscopic Analysis and Plotting Package
Abstract
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.
Additional Information
© 2022. The American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 2022 January 20; accepted 2022 February 22; published 2022 May 25. J.E.P. acknowledges the support by the Max Planck Society. A.G. acknowledges support from the NSF under grant AST 2008101.Attached Files
Published - Ginsburg_2022_AJ_163_291.pdf
Accepted Version - 2205.04987.pdf
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Additional details
- Eprint ID
- 115278
- Resolver ID
- CaltechAUTHORS:20220628-397746300
- Max Planck Society
- AST-2008101
- NSF
- Created
-
2022-06-28Created from EPrint's datestamp field
- Updated
-
2022-06-28Created from EPrint's last_modified field
- Caltech groups
- Infrared Processing and Analysis Center (IPAC)