Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Oriol Abril-Pla"'
Autor:
Oriol Abril-Pla, Virgile Andreani, Colin Carroll, Larry Dong, Christopher J. Fonnesbeck, Maxim Kochurov, Ravin Kumar, Junpeng Lao, Christian C. Luhmann, Osvaldo A. Martin, Michael Osthege, Ricardo Vieira, Thomas Wiecki, Robert Zinkov
Publikováno v:
PeerJ Computer Science, Vol 9, p e1516 (2023)
PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax statisticians use to describe models. PyMC leverages
Externí odkaz:
https://doaj.org/article/578705eff6ca4157b8fbc81b1bcf0531
Autor:
Ignasi Ribas, Sara Seager, David W. Latham, Andrew Vanderburg, Roland Vanderspek, Prajwal Niraula, Jon M. Jenkins, Steve B. Howell, Joshua E. Schlieder, Benjamin J. Fulton, Elisabeth Matthews, Joshua N. Winn, Scott McDermott, Avi Shporer, Chelsea X. Huang, Michelle L. Hill, Karen A. Collins, Michael Fausnaugh, Martin Paegert, David R. Ciardi, Erica J. Gonzales, Ian J. M. Crossfield, Enric Palle, Thomas Barclay, Grzegorz Nowak, Allyson Bieryla, Mariona Badenas-Agusti, Pere Guerra Serra, Thomas Mikal-Evans, Zafar Rustamkulov, Benjamin V. Rackham, Douglas A. Caldwell, Tansu Daylan, Joseph D. Twicken, Joshua Pepper, Keivan G. Stassun, Maximilian N. Günther, Mark E. Rose, Oriol Abril-Pla, George R. Ricker, Stephen R. Kane
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
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We present the discovery of three sub-Neptune-sized planets transiting the nearby and bright Sun-like star HD 191939 (TIC 269701147, TOI 1339), a K s = 7.18 mag G8 V dwarf at a distance of only 54 pc. We validate the planetary nature of the transit s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53147edd5332f8ee536c9723e2f4ace2
Autor:
David W. Hogg, Will M. Farr, Miguel de Val-Borro, Daniel Foreman-Mackey, Joe Zuntz, Peter K. G. Williams, Andrew Nelson, Tobias Erhardt, Oriol Abril Pla, Anne M. Archibald, Ilya Pashchenko, Manodeep Sinha, Jeremy S. Sanders
Publikováno v:
Journal of Open Source Software. 4:1864
emcee is a Python library implementing a class of affine-invariant ensemble samplers for Markov chain Monte Carlo (MCMC). This package has been widely applied to probabilistic modeling problems in astrophysics where it was originally published, with