2021PASP..133b4502P

Query : 2021PASP..133b4502P

2021PASP..133b4502P - Publ. Astron. Soc. Pac., 133, part no 2, 4502-24502 (2021/February-0)

Sparse Box-fitting Least Squares.

PANAHI A. and ZUCKER S.

Abstract (from CDS):

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.

Abstract Copyright: © 2021. The Astronomical Society of the Pacific. All rights reserved.

Journal keyword(s): Astronomy data analysis - Transit photometry - Exoplanet detection methods - Algorithms

Simbad objects: 1

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Number of rows : 1
N Identifier Otype ICRS (J2000)
RA 		ICRS (J2000)
DEC 		Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026 		#notes
1 HD 209458b Pl 22 03 10.7727465312 +18 53 03.549393384           ~ 2037 1

Query : 2021PASP..133b4502P

Basic data :
HD 209458b -- Extra-solar Planet
Other object types: otypes_help 		Pl? (), Pl (2000ApJ), * (HD)
ICRS coord. (ep=J2000) : 		22 03 10.7727465312 +18 53 03.549393384 (Optical) [ 0.0213 0.0227 90 ] A 2020yCat.1350....0G
FK4 coord. (ep=B1950 eq=1950) : 		22 00 48.0717927453 +18 38 32.219124290 [ 0.0213 0.0227 90 ]
Gal coord. (ep=J2000) : 		076.7533281569711 -28.5269056004135 [ 0.0213 0.0227 90 ]
Proper motions mas/yr : 		29.766 -17.976 [0.028 0.025 90] A 2020yCat.1350....0G
Parallaxes (mas): 		20.7694 [0.0266] A 2020yCat.1350....0G
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HD 209458b NAME Osiris

References (2037 between 1850 and 2026) (Total 2037)
Simbad bibliographic survey began in 1850 for stars (at least bright stars) and in 1983 for all other objects (outside the solar system).
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