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