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.
@article{arxiv.1912.05883,
title = {RASCAL: Towards automated spectral wavelength calibration},
author = {Josh Veitch-Michaelis and Marco C Lam},
journal= {arXiv preprint arXiv:1912.05883},
year = {2019}
}
Comments
4 pages, 2 figures, 29th Astronomical Data Analysis Software & Systems (ADASS) conference