Notes on the disentangling of spectra I. Enhancement in precision

TL;DR

This paper discusses spectral disentangling techniques, introduces a method to surpass data binning limitations, and demonstrates a tenfold increase in precision using an improved Fourier disentangling code.

Contribution

It presents a novel approach to improve spectral disentangling precision beyond traditional data binning constraints and updates the KOREL code accordingly.

Findings

Achieved an order of magnitude increase in disentangling precision.

Identified spectral-resolution limitations due to data discretization.

Proposed a new method to surpass binning step limitations.

Abstract

Context: The technique of disentangling has been applied to numerous high-precision studies of spectroscopic binaries and multiple stars. Although, its possibilities have not yet been fully understood and exploited. Aims: Theoretical background aspects of the method, its latest improvements and hints for its use in practice are explained in this series of papers. Methods: In this first paper of the series, we discuss spectral-resolution limitations due to a discrete representation of the observed spectra and introduce a new method how to achieve a precision higher than the step of input-data binning. Results: Based on this principle, the latest version of the KOREL code for Fourier disentangling achieves an increase in precision for an order of magnitude.