Mass ratio estimates for overcontact binaries using the derivatives of light curves. II. Systems with deep eclipses
Shinjirou Kouzuma
TL;DR
The paper tackles estimating photometric mass ratios $q$ for overcontact binaries with deep eclipses that were not addressed in the previous work. It extends a non-iterative method based on light-curve derivatives by introducing two $W$ values for SPp and SPf types and calibrating regression relations to map $W$ to $q$ using synthetic LCs from PHOEBE $2.4$ and real Kepler/TESS data. The approach yields uncertainties of approximately $\sigma \approx 0.035$ for SPp and $\sigma \approx 0.128$ for SPf, with about 69% of SPp and 83% of SPf real data estimates consistent with spectroscopic masses within those uncertainties. This work broadens spectroscopy-free mass-ratio estimation to a wider class of overcontact LC morphologies, enabling efficient analysis of large surveys while highlighting the need for further validation with larger samples.
Abstract
This is the second paper that proposes a simple method for estimating mass ratios using the derivatives of light curves for overcontact binaries. In the first paper (Kouzuma 2023, ApJ, 958, 84) , we presented a method to estimate the mass ratios for systems exhibiting a double-peak feature in the second derivatives of their light curves around eclipses. This second paper focuses on overcontact systems that are not addressed in the first paper, that is, systems lacking a double peak in the second derivative. A sample of synthetic light curves for overcontact binaries consists of 89670, covering a parameter space typical of overcontact systems. On the basis of a recent study that proposed a new classification scheme using light-curve derivatives up to the fourth order, the sample light curves were classified. We found that time intervals between two local extrema in the derivatives are associated with the mass ratio in systems that exhibit a high degree of eclipse obscuration. Using regression analysis for the identified associations, we derived empirical formulae to estimate the mass ratio and its associated uncertainty. The application of our proposed method to real overcontact binary data demonstrated its effectiveness in providing reliable estimates for both values.
