TY - JOUR
T1 - Sparse box-fitting least squares
AU - Panahi, Aviad
AU - Zucker, Shay
N1 - Publisher Copyright:
© 2021. The Astronomical Society of the Pacific. All rights reserved. Printed in the U.S.A.
PY - 2021/2/1
Y1 - 2021/2/1
N2 - We present a new implementation of the commonly used Box-fitting Least Squares (BLS) algorithm, for the detection of transiting exoplanets in photometric data. Unlike BLS, our new implementation—Sparse BLS, does not use binning of the data into phase bins, nor does it use any kind of phase grid. Thus, its detection efficiency does not depend on the transit phase, and is therefore slightly better than that of BLS. For sparse data, it is also significantly faster than BLS. It is therefore perfectly suitable for large photometric surveys producing unevenly-sampled sparse light curves, such as Gaia.
AB - We present a new implementation of the commonly used Box-fitting Least Squares (BLS) algorithm, for the detection of transiting exoplanets in photometric data. Unlike BLS, our new implementation—Sparse BLS, does not use binning of the data into phase bins, nor does it use any kind of phase grid. Thus, its detection efficiency does not depend on the transit phase, and is therefore slightly better than that of BLS. For sparse data, it is also significantly faster than BLS. It is therefore perfectly suitable for large photometric surveys producing unevenly-sampled sparse light curves, such as Gaia.
KW - Algorithms
KW - Astronomy data analysis
KW - Exoplanet detection methods
KW - Transit photometry
UR - http://www.scopus.com/inward/record.url?scp=85100878278&partnerID=8YFLogxK
U2 - 10.1088/1538-3873/abd9ab
DO - 10.1088/1538-3873/abd9ab
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AN - SCOPUS:85100878278
SN - 0004-6280
VL - 133
SP - 1
EP - 6
JO - Publications of the Astronomical Society of the Pacific
JF - Publications of the Astronomical Society of the Pacific
IS - 1020
M1 - 024502
ER -