A method to identify and characterise binary candidates - a study of CoRoT data
Ronaldo Da Silva, Adriana Silva-Valio

TL;DR
This paper presents a novel method for identifying and characterizing binary star systems in CoRoT data by modeling transits to estimate system parameters without needing radial-velocity or ground-based observations.
Contribution
The study introduces a new modeling approach that accurately estimates binary system parameters directly from light curves, enhancing binary detection and characterization capabilities.
Findings
Validated method with known binaries and exoplanets.
Accurate parameter estimates for systems with secondary radii <1.5 Rjup or >2 Rjup.
Good agreement with published results for CoRoT exoplanetary systems.
Abstract
The analysis of the CoRoT space mission data was performed aiming to test a method that selects, among the several light curves observed, the transiting systems that likely host a low-mass star orbiting the main target. The method identifies stellar companions by fitting a model to the observed transits. Applying this model, that uses equations like Kepler's third law and an empirical mass-radius relation, it is possible to estimate the mass and radius of the primary and secondary objects as well as the semimajor axis and inclination angle of the orbit. We focus on how the method can be used in the characterisation of transiting systems having a low-mass stellar companion with no need to be monitored with radial-velocity measurements or ground-based photometric observations. The model, which provides a good estimate of the system parameters, is also useful as a complementary approach to…
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Taxonomy
TopicsGraph Theory and Algorithms · Data Mining Algorithms and Applications · Data Quality and Management
