Pushing Least-Squares Deconvolution to the next level: application to binary stars
A. Tkachenko (1), V. Tsymbal (2), Zvyagintsev (2), H. Lehmann (3), F., Petermann (3), D. E. Mkrtichian (4) ((1) Institute of Astronomy, KU Leuven,, Belgium, (2) Institute of Astronomy, Russian Academy of Sciences, Moscow,, Russia, (3) Thueringer Landessternwarte Tautenburg

TL;DR
This paper introduces LSDBinary, an advanced algorithm for analyzing spectroscopic binary star systems, capable of modeling the Rossiter-McLaughlin effect and providing precise radial velocities from both in-eclipse and out-of-eclipse spectra.
Contribution
The study presents the LSDBinary algorithm, a novel tool that enhances spectroscopic analysis of eclipsing SB2 binaries by incorporating the Rossiter-McLaughlin effect and testing its robustness under various conditions.
Findings
Atmospheric parameters minimally affect LSD profile shape.
Signal-to-noise ratio has limited impact if spectral lines are sufficient.
Orbital inclination and star radii ratio significantly influence LSD profiles.
Abstract
Eclipsing, spectroscopic double-lined (SB2) binaries remain to be the prime source of precise and accurate fundamental properties of stars. Furthermore, high-cadence spectroscopic observations of the eclipse phases allow us to resolve the Rossiter-McLaughlin effect whose modelling offers the means to probe spin-orbit misalignment in binaries. In this study, we develop the LSDBinary algorithm that is capable of working with both in-eclipse and out-of-eclipse spectra of SB2 binaries as input and delivers the LSD profiles, LSD-based model spectra, and precise RVs of both binary components as output. We offer an option to account for the Rossiter-McLaughlin effect in the calculation of the initial guess LSD profiles and components' flux ratio such that the effect can be modelled within the algorithm itself. We provide an extensive test of the LSDBinary software package on simulated…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Solar and Space Plasma Dynamics · Astronomy and Astrophysical Research
