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Modern spectroscopic surveys provide a huge number of stellar spectra. Traditionally, the main analysis of survey data focuses on single stars, while spectroscopic binaries (SBn, where n is the number of spectral components) are removed and analysed separately. SB2s with a non-zero radial velocity difference of spectral components are usually detected by an analysis of multiple peaks of the cross-correlation functions, although it is possible to detect an SB2 with zero difference in radial velocities using the composite spectroscopic model if the spectral components are significantly different. Machine-learning techniques can also be used to find SB2s.
In this talk I resent a new method for detection of SB2s, which is based on a clear correlation between the radial velocity separation difference estimated by the binary spectral model and the value of the projected rotational velocity, derived by the single-star model for SB2 systems. The method was successfully applied to LAMOST-MRS and Gaia-ESO spectra.
2008-2014. Specialist in Astronomy, Lomonosow Moscow State University, Supervisor Prof. Dr. Nikolay Emalyanov, Title: Motion of galaxies, influenced by cosmic vacuum.
2014-2015. visiting scientist in Max Plank Institute for Astronomy in Heidelberg, with Maria Bergemann.
2015-2019. PhD in Astrophysics, Ruprecht Carl University of Heidelberg, Supervisor: Dr. Maria Bergemann. Title: NLTE analysis of the Gaia-ESO spectroscopic survey.
2020- now. Postdoc with Prof. Zhanwen Han and Prof. Xuefei Chen in Yunnan Observatories of CAS. (first 2.5 years