ULySS: a full spectrum fitting package. Koleva, M., Prugniel, P., Bouchard, A., & Wu, Y. Astronomy and Astrophysics, 501:1269, 2009. ![ULySS: a full spectrum fitting package [pdf]](https://bibbase.org/img/filetypes/pdf.svg "pdf")
Paper ![ULySS: a full spectrum fitting package [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website abstract bibtex Aims: We provide an easy-to-use full-spectrum fitting package and explore its applications to (i) the determination of the stellar atmospheric parameters and (ii) the study of the history of stellar populations. Methods: We developed ULySS, a package to fit spectroscopic observations against a linear combination of non-linear model components convolved with a parametric line-of-sight velocity distribution. The minimization can be either local or global, and determines all the parameters in a single fit. We use χ2 maps, convergence maps and Monte-Carlo simulations to study the degeneracies, local minima and to estimate the errors. Results: We show the importance of determining the shape of the continuum simultaneously to the other parameters by including a multiplicative polynomial in the model (without prior pseudo-continuum determination, or rectification of the spectrum). We also stress the usefulness of using an accurate line-spread function, depending on the wavelength, so that the line-shape of the models properly matches the observation. For simple models, i.e., to measure the atmospheric parameters or the age/metallicity of a single-age stellar population, there is often a unique minimum, or when local minima exist they can be recognized unambiguously. For more complex models, Monte-Carlo simulations are required to assess the validity of the solution. Conclusions: The ULySS package is public, simple to use and flexible. The full spectrum fitting makes optimal use of the signal.
@article{
title = {ULySS: a full spectrum fitting package},
type = {article},
year = {2009},
identifiers = {[object Object]},
keywords = {galaxies: stellar content,methods: data analysis,stars: fundamental parameters,techniques: spectroscopic},
pages = {1269},
volume = {501},
websites = {https://arxiv.org/pdf/0903.2979.pdf,http://adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009A&A...501.1269K&link_type=ABSTRACT%5Cnpapers://ec4aea62-d2ee-4f3a-bb31-721f8c65ca5e/Paper/p138},
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abstract = {Aims: We provide an easy-to-use full-spectrum fitting package and explore its applications to (i) the determination of the stellar atmospheric parameters and (ii) the study of the history of stellar populations. Methods: We developed ULySS, a package to fit spectroscopic observations against a linear combination of non-linear model components convolved with a parametric line-of-sight velocity distribution. The minimization can be either local or global, and determines all the parameters in a single fit. We use χ2 maps, convergence maps and Monte-Carlo simulations to study the degeneracies, local minima and to estimate the errors. Results: We show the importance of determining the shape of the continuum simultaneously to the other parameters by including a multiplicative polynomial in the model (without prior pseudo-continuum determination, or rectification of the spectrum). We also stress the usefulness of using an accurate line-spread function, depending on the wavelength, so that the line-shape of the models properly matches the observation. For simple models, i.e., to measure the atmospheric parameters or the age/metallicity of a single-age stellar population, there is often a unique minimum, or when local minima exist they can be recognized unambiguously. For more complex models, Monte-Carlo simulations are required to assess the validity of the solution. Conclusions: The ULySS package is public, simple to use and flexible. The full spectrum fitting makes optimal use of the signal.},
bibtype = {article},
author = {Koleva, M. and Prugniel, Ph. and Bouchard, A. and Wu, Y.},
journal = {Astronomy and Astrophysics}
}
Downloads: 0
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