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Our understanding of stars through asteroseismic data analysis is limited byour ability to take advantage of the huge amount of observed stars provided byspace missions such as CoRoT, Kepler, K2, and soon TESS and PLATO. Globalseismic pipelines provide global stellar parameters such as mass and radiususing the mean seismic parameters, as well as the effective temperature. Thesepipelines are commonly used automatically on thousands of stars observed by K2for 3 months (and soon TESS for at least around 1 month). However, pipelinesare not immune from misidentifying noise peaks and stellar oscillations.Therefore, new validation techniques are required to assess the quality ofthese results. We present a new metric called FliPer (Flicker in Power), whichtakes into account the average variability at all measured time scales. Theproper calibration of FliPer enables us to obtain good estimations of globalstellar parameters such as surface gravity that are robust against theinfluence of noise peaks and hence are an excellent way to find faults inasteroseismic pipelines.

FliPer: Checking the reliability of global seismic parameters from automatic pipelines