Millions of Multiples: Detecting and Characterizing Close-Separation Binary Systems in Synoptic Sky Surveys
Emil Terziev, Nicholas M. Law, Iair Arcavi, Christoph Baranec, Joshua, S. Bloom, Khanh Bui, Mahesh P. Burse, Pravin Chorida, H.K. Das, Richard G., Dekany, Adam L. Kraus, S. R. Kulkarni, Peter Nugent, Eran O. Ofek, Sujit, Punnadi, A. N. Ramaprakash, Reed Riddle

TL;DR
This paper introduces BinaryFinder, an algorithm that detects close binary star systems in wide-field surveys by measuring PSF ellipticity, enabling the discovery of millions of binaries with high accuracy and efficiency.
Contribution
The paper presents BinaryFinder, a novel method for detecting close binaries using PSF ellipticity measurements, capable of identifying systems down to 1/5 of the seeing limit.
Findings
BinaryFinder detects binaries with <5% false positives.
Accurately measures position angles within 2 degrees.
Estimates ~450,000 binaries in the PTF dataset.
Abstract
The direct detection of binary systems in wide-field surveys is limited by the size of the stars' point-spread-functions (PSFs). A search for elongated objects can find closer companions, but is limited by the precision to which the PSF shape can be calibrated for individual stars. We have developed the BinaryFinder algorithm to search for close binaries by using precision measurements of PSF ellipticity across wide-field survey images. We show that the algorithm is capable of reliably detecting binary systems down to approximately 1/5 of the seeing limit, and can directly measure the systems' position angles, separations and contrast ratios. To verify the algorithm's performance we evaluated 100,000 objects in Palomar Transient Factory (PTF) wide-field-survey data for signs of binarity, and then used the Robo-AO robotic laser adaptive optics system to verify the parameters of 44…
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