The slower rotation of planet-hosting stars revisited

Abstract Previous studies combined rotation periods derived from Kepler photometry, stellar parameters from previous Gaia Data Releases, and planet hosts from the NASA Exoplanet Archive to conclude that statistically planet-hosting stars rotate slower than stars without detected planets. Here, we revisit these studies by using similar Kepler rotational period sample, but with an updated Gaia DR3-based stellar parameter catalogue and an updated exoplanet catalogue. We apply minimal sample cuts in evolutionary state, metallicity, and distance, and then model the stellar rotation period as a function of effective temperature alone. For each star, we derive the ratio of its observed period to the temperature-expected period, and compare the ratio distributions for the planet-host and non-host stars. For periods shorter than 20 d, the planet-host distribution of this ratio is shifted towards longer periods; the period-ratio median is ∼15% larger for hosts than for non-hosts (pKS = 2.4 × 10−4). We also examine the recently published TESS All-Sky Rotation Survey (TARS) and find a similar trend. However, the strongly structured period distribution precludes a robust comparison between the host and the non-host stars. Therefore, the updated analysis, using more robust stellar and planetary parameters, recovers the previously reported association, strengthening the case for a genuine connection between stellar rotation and planet occurrence.

Authors

Institutions

Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2026-11-05
DOI
https://doi.org/10.1093/mnras/stag2119
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

The slower rotation of planet-hosting stars revisited

S. Faigler, Amitay Sussholz, A. Binnenfeld, T. Mazeh
Monthly Notices of the Royal Astronomical Society
Stellar, planetary, and galactic studies
article

The slower rotation of planet-hosting stars revisited

S. Faigler, Amitay Sussholz, A. Binnenfeld, T. Mazeh
article en

Abstract

Abstract Previous studies combined rotation periods derived from Kepler photometry, stellar parameters from previous Gaia Data Releases, and planet hosts from the NASA Exoplanet Archive to conclude that statistically planet-hosting stars rotate slower than stars without detected planets. Here, we revisit these studies by using similar Kepler rotational period sample, but with an updated Gaia DR3-based stellar parameter catalogue and an updated exoplanet catalogue. We apply minimal sample cuts in evolutionary state, metallicity, and distance, and then model the stellar rotation period as a function of effective temperature alone. For each star, we derive the ratio of its observed period to the temperature-expected period, and compare the ratio distributions for the planet-host and non-host stars. For periods shorter than 20 d, the planet-host distribution of this ratio is shifted towards longer periods; the period-ratio median is ∼15% larger for hosts than for non-hosts (pKS = 2.4 × 10−4). We also examine the recently published TESS All-Sky Rotation Survey (TARS) and find a similar trend. However, the strongly structured period distribution precludes a robust comparison between the host and the non-host stars. Therefore, the updated analysis, using more robust stellar and planetary parameters, recovers the previously reported association, strengthening the case for a genuine connection between stellar rotation and planet occurrence.

Monthly Notices of the Royal Astronomical Society
Tel Aviv University (IL), Max Planck Institute for Astronomy (DE), École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 17%
Stellar, planetary, and galactic studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon