[German-ish for everything-fitter]
allesfitter (Günther & Daylan, 2019, ascl:1903.003) is a public and user-friendly astronomy software package for modeling photometric and RV data. It can accommodate multiple exoplanets, multi-star systems, star spots, stellar flares, and various noise models. A graphical user interface allows to define all input. Then, allesfitter automatically runs a nested sampling or MCMC fit, and produces ascii tables, latex tables, and plots. For all this, allesfitter constructs an inference framework that unites the versatile packages ellc (light curve and RV models; Maxted 2016), aflare (flare model; Davenport et al. 2014), dynesty (static and dynamic nested sampling; Speagle 2019), emcee (Markov Chain Monte Carlo sampling; Foreman-Mackey et al. 2013) and celerite (Gaussian Process models; Foreman-Mackey et al. 2017). If you use allesfitter or parts of it in your work, please cite and acknowledge all software as detailed below.
Documentation:
Allesfitter citations:
Please cite both the paper and the code, like \citep{allesfitter-paper, allesfitter-code}, with:
@ARTICLE{allesfitter-paper,
author = {{G{\"u}nther}, Maximilian N. and {Daylan}, Tansu},
title = "{Allesfitter: Flexible Star and Exoplanet Inference from Photometry and Radial Velocity}",
journal = {\apjs},
keywords = {Exoplanets, Binary stars, Stellar flares, Bayesian statistics, Astronomy software, Starspots, Astronomy data modeling, 498, 154, 1603, 1900, 1855, 1572, 1859, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Solar and Stellar Astrophysics},
year = 2021,
month = may,
volume = {254},
number = {1},
eid = {13},
pages = {13},
doi = {10.3847/1538-4365/abe70e},
archivePrefix = {arXiv},
eprint = {2003.14371},
primaryClass = {astro-ph.EP},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021ApJS..254...13G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@MISC{allesfitter-code,
author = {{G{\"u}nther}, Maximilian~N. and {Daylan}, Tansu},
title = "{Allesfitter: Flexible Star and Exoplanet Inference From Photometry and Radial Velocity}",
keywords = {Software },
howpublished = {Astrophysics Source Code Library},
year = 2019,
month = mar,
archivePrefix = "ascl",
eprint = {1903.003},
adsurl = {http://adsabs.harvard.edu/abs/2019ascl.soft03003G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
Additional software acknowledgements:
- ellc: Maxted, P. F. L. (2016), Astronomy and Astrophysics, 591, A111
- aflare: Davenport, J. R. A. et al. (2014), The Astrophysical Journal, 797, 122
- dynesty: Speagel, J. (2019), arXiv:1904.02180
- emcee: Foreman-Mackey, D., et al. (2013), Publications of the Astronomical Society of the Pacific, 125, 306
- celerite: Foreman-Mackey, D., et al. (2017), The Astronomical Journal, 154, 220
- corner: Foreman-Mackey, D., et al.
- python: Rossum G. (1995), Technical Report, Python Reference Manual, Amsterdam, The Netherlands
- numpy: van der Walt S., et al. (2011), Comput. Sci. Eng., 13, 22
- scipy: Jones E. et al. (2001), SciPy: Open Source Scientific tools for Python. Available at: http://www.scipy.org/
- matplotlib: Hunter J. D. (2007), Comput. Sci. Eng., 9, 90
- tqdm: doi:10.5281/zenodo.1468033
- seaborn: https://seaborn.pydata.org/index.html
Contributors:
Maximilian N. Günther & Tansu Daylan
License:
The software is freely available at https://github.com/MNGuenther/allesfitter under the MIT License. Feedback and contributions are very welcome.
