Sparse box-fitting least squares

Aviad Panahi, Shay Zucker

نتاج البحث: نشر في مجلةمقالةمراجعة النظراء

ملخص

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.

اللغة الأصليةالإنجليزيّة
رقم المقال024502
الصفحات (من إلى)1-6
عدد الصفحات6
دوريةPublications of the Astronomical Society of the Pacific
مستوى الصوت133
رقم الإصدار1020
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 1 فبراير 2021

All Science Journal Classification (ASJC) codes

  • !!Astronomy and Astrophysics
  • !!Space and Planetary Science

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