SparseBLS: Box-Fitting Least Squares implementation for sparse data

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Ada Coda
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SparseBLS: Box-Fitting Least Squares implementation for sparse data

Post by Ada Coda » Wed Mar 31, 2021 7:31 pm

SparseBLS: Box-Fitting Least Squares implementation for sparse data

Abstract: SparseBLS uses the Box-fitting Least Squares (BLS) algorithm to detect transiting exoplanets in photometric data. SparseBLS does not bin data into phase bins and does not use a phase grid. Because its detection efficiency does not depend on the transit phase, it is significantly faster than BLS for sparse data and is well-suited for large photometric surveys producing unevenly-sampled sparse light curves, such as Gaia.

Credit: Panahi, Aviad; Zucker, Shay

Site: https://github.com/aviadpi/SparseBLS
https://ui.adsabs.harvard.edu/abs/2021arXiv210306193P

Bibcode: 2021ascl.soft03029P

ID: ascl:2103.029

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