An Attempt to Construct an Activity Cycle Catalog with Kepler Long-Cadence Light Curves

Abstract

Many stars show activity cycles like the Sun. Kepler has gathered ∼200,000 light curves. Most of the Kepler stars only have long-cadence light curves, which limits their applicable methods. Some metrics, for example Sph, are effective for long-cadence light curves but require rotation periods. In order to improve the utilization of Kepler light curves, we introduce and use the smoothness metric. The smoothness metric is able to analyze stars without a measured rotation period and is applicable for long-cadence light curves. We test and validate our metric, resulting in the detection of the 11 years solar cycle and a 457 days cycle for our prototype star KIC 9017220. We analyze 92,084 Kepler long-cadence light curves, and as our main results, we detect 4455 magnetic activity cycle candidates, but about 20 percent are false cycles and 50 percent are lower limits of the real cycles, and we analyze their causes in detail. As an investigation into the performance of our method, we simulate disturbance factors and prove that the p-value test is invalid under certain circumstances.

Magnetic Activity Cycle Detection Based on Multiple Random Spectral Observations

“…Compared to photometric surveys (such as Gaia 17 , ∼1.5 billion stars), 200,000 is negligible; as for the observation time, if the typical magnetic activity cycle is around 11 years, 4 years are still too short. The existence of an 11-year cycle may be detected by 4-year long data, but the specific length of the cycle cannot be determined 18 . The study of stellar magnetic activity cycles calls for a new, low-cost observation mode, and the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST 19 ) provides inspiration.…”