RASCAL: Towards automated spectral wavelength calibration. (arXiv:1912.05883v1 [astro-ph.IM])
<a href="http://arxiv.org/find/astro-ph/1/au:+Veitch_Michaelis_J/0/1/0/all/0/1">Josh Veitch-Michaelis</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Lam_M/0/1/0/all/0/1">Marco C Lam</a>
Wavelength calibration is a routine and critical part of any spectral
work-flow, 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.
Wavelength calibration is a routine and critical part of any spectral
work-flow, 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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