4.6 Article

Long-term magnetic activity of a sample of M-dwarf stars from the HARPS program II. Activity and radial velocity

Journal

ASTRONOMY & ASTROPHYSICS
Volume 541, Issue -, Pages -

Publisher

EDP SCIENCES S A
DOI: 10.1051/0004-6361/201118598

Keywords

planets and satellites: detection; stars: activity; stars: late-type; techniques: radial velocities; techniques: spectroscopic

Funding

  1. European Research Council/European Community
  2. Fundacao para a Ciencia e a Tecnologia (FCT), Portugal [PTDT/CTE-AST/098528/2008]
  3. FCT [SFRH/BD/64722/2009]
  4. FCT/MCTES (Portugal)
  5. POPH/FSE (EC)
  6. Fundação para a Ciência e a Tecnologia [SFRH/BD/64722/2009] Funding Source: FCT

Ask authors/readers for more resources

Owing to their low mass and luminosity, M dwarfs are ideal targets if one hopes to find low-mass planets similar to Earth using the radial velocity (RV) method. However, stellar magnetic cycles could add noise or even mimic the RV signal of a long-period companion. We extend our previous study of the correlation between activity cycles and long-term RV variations for K dwarfs to the lower-end of the main sequence. Our objective is to detect any correlations between long-term activity variations and the observed RV of a sample of M dwarfs. We use a sample of 27 M-dwarfs with a median observational timespan of 5.9 years. The cross-correlation function (CCF) with its parameters RV, bisector inverse slope (BIS), full width at half maximum (FWHM), and contrast are computed from the HARPS spectrum. The activity index is derived using the Na I D doublet. These parameters are compared with the activity level of the stars to search for correlations. We detect RV variations up to similar to 5 ms(-1) that we can attribute to activity cycle effects. However, only 36% of the stars with long-term activity variability appear to have had their RV affected by magnetic cycles, on the typical timescale of similar to 6 years. Therefore, we suggest a careful analysis of activity data when searching for extrasolar planets using long-timespan RV data.

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