Revisiting the correlation between stellar activity and planetary surface gravity

TL;DR

This study re-evaluates the correlation between stellar activity and planetary surface gravity using an expanded dataset, finding a weaker but still significant correlation, and emphasizes the importance of homogeneous temperature measurements and data sharing.

Contribution

It provides a revised analysis of the stellar activity-planet surface gravity correlation with a larger dataset and highlights the impact of temperature measurement methods on the correlation.

Findings

Correlation coefficients are lower than previous estimates but still significant.

Using SWEET-Cat temperatures yields larger correlation values.

The correlation can arise from small-sample statistical effects.

Abstract

Aims: We re-evaluate the correlation between planetary surface gravity and stellar host activity as measured by the index log($R'_{HK}$). This correlation, previously identified by Hartman (2010), is now analyzed in light of an extended measurements dataset, roughly 3 times larger than the original one. Methods: We calculated the Spearman's rank correlation coefficient between the two quantities and its associated p-value. The correlation coefficient was calculated for both the full dataset and the star-planet pairs that follow the conditions proposed by Hartman (2010). In order to do so, we considered effective temperatures both as collected from the literature and from the SWEET-Cat catalog, which provides a more homogeneous and accurate effective temperature determination. Results: The analysis delivers significant correlation coefficients, but with a lower value than those obtained by Hartman (2010). Yet, the two datasets are compatible, and we show that a correlation coefficient as large as previously published can arise naturally from a small-number statistics analysis of the current dataset. The correlation is recovered for star-planet pairs selected using the different conditions proposed by Hartman (2010). Remarkably, the usage of SWEET-Cat temperatures leads to larger correlation coefficient values. We highlight and discuss the role of the correlation betwen different parameters such as effective temperature and activity index. Several additional effects on top of those discussed previously were considered, but none fully explains the detected correlation. In light of the complex issue discussed here, we encourage the different follow-up teams to publish their activity index values in the form of log($R'_{HK}$) index so that a comparison across stars and instruments can be pursued.