PyQSpecFit: Line modelling code for QSOs

Please use Tutorial.ipynb as a guide.

PyQSpecFit is a user-friendly and flexible code designed for modelling emission features in QSO spectra or continuum-subtracted spectra.

The key features of this code are:

Fit the QSO continuum with a combined pseudo-continuum model composed of a power-law, Balmer continuum, and FeII flux. We include four main semi-empirical and empirical FeII templates.
Fit line complexes with a user-defined number of broad and narrow Gaussians profiles.
Measure properties of the modelled lines (integrated flux, EW, FWHM, line dispersion, peak, wavelength shift, etc). Realistic uncertainties can be obtained by using the error spectrum to resample and re-fit the data.
Plot the data with the modelled continuum and emission-line profiles.

Cite this code

The preferred citations for this code are the following:

@ARTICLE{2023MNRAS.526.3230L,
author = {{Lai}, Samuel and {Onken}, Christopher A. and {Wolf}, Christian and {Bian}, Fuyan and {Cupani}, Guido and {Lopez}, Sebastian and {D'Odorico}, Valentina},
title = "{Virial black hole mass estimates of quasars in the XQ-100 legacy survey}",
journal = {\mnras},
keywords = {galaxies: active, galaxies: high-redshift, quasars: emission lines, Astrophysics - Astrophysics of Galaxies},
year = 2023,
month = dec,
volume = {526},
number = {3},
pages = {3230-3247},
doi = {10.1093/mnras/stad2994},
archivePrefix = {arXiv},
eprint = {2310.00271},
primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2023MNRAS.526.3230L },
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@software{samuel_lai_2023_7772752,
author = {Samuel Lai},
title = {samlaihei/PyQSpecFit: PyQSpecFit v1.0.0},
month = mar,
year = 2023,
publisher = {Zenodo},
version = {v1.0.0},
doi = {10.5281/zenodo.7772752},
url = {https://doi.org/10.5281/zenodo.7772752 }
}