Discovering planets with plato: comparison of algorithms for stellar activity filtering

HIGHLIGHTS

SUMMARY

    This percentage decreases down to ~43.8% when considering a sample of young, extremely active stars observed with the Transiting Exoplanet Survey Satellite (TESS; Ricker et_al 2014), meaning that less than half of the injected transit signals are recovered after detrending the highly variable LCs produced by these young stars. A brief summary of the algorithms tested by Hippke et_al (2019; i.e., general-purpose algorithms) and the analysis of their performance on a series of different transit signals injected into PLATO LCs is presented in Sect 3. The general-purpose algorithms perform very . . .

     

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