This paper discusses the B{\"o}hm-Vitense gap, a gap in the colours of stars that occurs when the atmosphere changes from radiative to convective in deep layers. We are using different algorithms for detecting gaps in colour-magnitude diagrams (CMDs), including the k-nearest neighbours (k-NN) and UniDip algorithms. We propose using a combination of the k-NN algorithm and the UniDip algorithm and manual verification to identify gaps unlikely to be of a statistical origin. Using the Gaia photometric system, i.e. BP−RP, we took the data of 130 star clusters and searched for gaps in the ranges of 0.40 to 0.47\,mag, and 0.56 to 0.60\,mag, respectively. We analysed all data statistically and identified the gaps in the individual clusters. Finally, we applied the kernel density estimator to see how the gaps are distributed.
@article{arxiv.2401.09264,
title = {A New Approach to Find the B\"ohm-Vitense gap},
author = {Tahereh Ramezani and Ernst Paunzen and Martin Piecka and Michal Kajan},
journal= {arXiv preprint arXiv:2401.09264},
year = {2024}
}
Comments
16 pages, 8 figures. arXiv admin note: text overlap with arXiv:astro-ph/9802204 by other authors