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bib.bib
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@article{PaperI,
author = {{Luger}, Rodrigo and {Foreman-Mackey}, Daniel and {Hedges}, Christina and {Hogg}, David W.},
title = {{Mapping stellar surfaces I: Degeneracies in the rotational light curve problem}},
journal = {arXiv e-prints},
keywords = {Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
year = 2021,
month = jan,
eid = {arXiv:2102.00007},
pages = {arXiv:2102.00007},
archiveprefix = {arXiv},
eprint = {2102.00007},
primaryclass = {astro-ph.SR},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021arXiv210200007L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{PaperII,
author = {{Luger}, Rodrigo and {Foreman-Mackey}, Daniel and {Hedges}, Christina},
title = {{Mapping stellar surfaces II: An interpretable Gaussian process model for light curves}},
journal = {arXiv e-prints},
keywords = {Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
year = 2021,
month = feb,
eid = {arXiv:2102.01697},
pages = {arXiv:2102.01697},
archiveprefix = {arXiv},
eprint = {2102.01697},
primaryclass = {astro-ph.SR},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021arXiv210201697L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{Morris2020b,
author = {{Morris}, Brett},
title = {{fleck: Fast approximate light curves for starspot rotational modulation}},
journal = {The Journal of Open Source Software},
keywords = {Python, stellar astrophysics, starspots, astronomy},
year = 2020,
month = mar,
volume = {5},
number = {47},
eid = {2103},
pages = {2103},
doi = {10.21105/joss.02103},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020JOSS....5.2103M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{Perger2020,
author = {{Perger}, Manuel and {Anglada-Escud{\'e}}, Guillem and {Ribas}, Ignasi and {Rosich}, Albert and {Herrero}, Enrique and {Morales}, Juan Carlos},
title = {{Auto-correlation functions of astrophysical processes, and their relation to Gaussian processes; Application to radial velocities of different starspot configurations}},
journal = {arXiv e-prints},
keywords = {Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics},
year = 2020,
month = dec,
eid = {arXiv:2012.01862},
pages = {arXiv:2012.01862},
archiveprefix = {arXiv},
eprint = {2012.01862},
primaryclass = {astro-ph.EP},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020arXiv201201862P},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{Agol2020,
author = {{Agol}, Eric and {Luger}, Rodrigo and {Foreman-Mackey}, Daniel},
title = {{Analytic Planetary Transit Light Curves and Derivatives for Stars with Polynomial Limb Darkening}},
journal = {\aj},
keywords = {486, 489, 1709, 293, 1855, 38, 1711, 918, 442, 922, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
year = 2020,
month = mar,
volume = {159},
number = {3},
eid = {123},
pages = {123},
doi = {10.3847/1538-3881/ab4fee},
archiveprefix = {arXiv},
eprint = {1908.03222},
primaryclass = {astro-ph.EP},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020AJ....159..123A},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{Salvatier2016,
title = {{Probabilistic programming in Python using PyMC3}},
author = {Salvatier, John and Wiecki, Thomas V and Fonnesbeck, Christopher},
journal = {PeerJ Computer Science},
volume = {2},
pages = {e55},
year = {2016},
publisher = {PeerJ Inc.}
}
@article{Theano2016,
title = {{Theano: A {Python} framework for fast computation of mathematical
expressions}},
author = {{Theano Development Team}},
journal = {arXiv e-prints},
volume = {abs/1605.02688},
year = 2016,
month = may,
url = {http://arxiv.org/abs/1605.02688}
}
@article{Ambikasaran2015,
author = {{Ambikasaran}, Sivaram and {Foreman-Mackey}, Daniel and {Greengard}, Leslie and {Hogg}, David W. and {O'Neil}, Michael},
title = {{Fast Direct Methods for Gaussian Processes}},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
keywords = {Mathematics - Numerical Analysis, Astrophysics - Instrumentation and Methods for Astrophysics, Mathematics - Statistics Theory, Mathematics - Numerical Analysis, Astrophysics - Instrumentation and Methods for Astrophysics, Mathematics - Statistics Theory},
year = 2015,
month = jun,
volume = {38},
pages = {252},
doi = {10.1109/TPAMI.2015.2448083},
archiveprefix = {arXiv},
eprint = {1403.6015},
primaryclass = {math.NA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2015ITPAM..38..252A},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{ForemanMackey2017,
author = {{Foreman-Mackey}, Daniel and {Agol}, Eric and {Ambikasaran}, Sivaram and {Angus}, Ruth},
title = {{Fast and Scalable Gaussian Process Modeling with Applications to Astronomical Time Series}},
journal = {\aj},
keywords = {asteroseismology, methods: data analysis, methods: statistical, planetary systems, stars: rotation, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics, Physics - Data Analysis, Statistics and Probability, Statistics - Applications},
year = 2017,
month = dec,
volume = {154},
number = {6},
eid = {220},
pages = {220},
doi = {10.3847/1538-3881/aa9332},
archiveprefix = {arXiv},
eprint = {1703.09710},
primaryclass = {astro-ph.IM},
adsurl = {https://ui.adsabs.harvard.edu/abs/2017AJ....154..220F},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}