SBART 1.0.2

sBART model for RV extraction

sBART

s-BART: A semi-Bayesian implementation of template matching for precise Radial Velocities

If you use the pipeline, cite the paper:

@article{ Silva_2022,
    author = {{Silva, A. M.} and {Faria, J. P.} and {Santos, N. C.} and {Sousa, S. G.} and {Viana, P. T. P.} and {Martins, J. H. C.} and {Figueira, P.} and {Lovis, C.} and {Pepe, F.} and {Cristiani, S.} and {Rebolo, R.} and {Allart, R.} and {Cabral, A.} and {Mehner, A.} and {Sozzetti, A.} and {Mascare\~no, A. Su\'arez} and {Martins, C. J. A. P.} and {Ehrenreich, D.} and {M\'egevand, D.} and {Palle, E.} and {Curto, G. Lo} and {Tabernero, H. M.} and {Lillo-Box, J.} and {Hern\'andez, J. I. Gonz\'alez} and {Osorio, M. R. Zapatero} and {Hara, N. C.} and {Nunes, N. J.} and {Di Marcantonio, P.} and {Udry, S.} and {Adibekyan, V.} and {Dumusque, X.}},
    title = {A novel framework for semi-Bayesian radial velocities through template matching},
    DOI= "10.1051/0004-6361/202142262",
    url= "https://doi.org/10.1051/0004-6361/202142262",
    journal = {A\&A},
    year = 2022,
    volume = 663,
    pages = "A143",
}

For more information, check the docs: https://sbart.readthedocs.io/en/latest/