Paper:	RASCAL: Towards Automated Spectral Wavelength Calibration
Volume:	527, Astronomical Data Analysis Software and Systems XXIX
Page:	627
Authors:	Veitch–Michaelis, J.; Lam, M. C.
Abstract:	Wavelength calibration is a routine and critical part of any spectral workflow, but many astronomers still resort to matching detected peaks and emission lines by hand. We present RASCAL (RANSAC Assisted Spectral CALibration), a python library for automated wavelength calibration of astronomical spectrographs. RASCAL implements recent state–of–the–art methods for wavelength calibration and requires minimal input from a user. In this paper we discuss the implementation of the library and apply it to real–world calibration spectra.

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