2016
DOI: 10.1051/0004-6361/201628690
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HADES RV program with HARPS-N at the TNG GJ 3998: An early M-dwarf hosting a system of super-Earths

Abstract: Context. Many efforts to detect Earth-like planets around low-mass stars are presently devoted in almost every extra-solar planet search. M dwarfs are considered ideal targets for Doppler radial velocity searches because their low masses and luminosities make low-mass planets orbiting in their habitable zones more easily detectable than those around higher mass stars. Nonetheless, the statistics of frequency of low-mass planets hosted by low mass stars remains poorly constrained. Aims. Our M-dwarf radial veloc… Show more

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Cited by 75 publications
(111 citation statements)
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“…(2)), we used to model the stellar contribution present in the RV variations in the following section, our primary goal is to investigate some properties of the stellar activity and use them to constrain some parameter priors in the analysis of the radial velocities. This represents a reasonable expectation, because neither the activity indicators nor the RVs have been pre-whitened, and the variability patterns in the former could be present with similar properties in the latter, as was noticed by Affer et al (2016) during the analysis of another HADES target. In this sense, results from the analysis of the activity indicators can be used to train the GP regression of the RVs, by keeping unchanged the way the stellar activity contribution is modelled.…”
Section: Analysis Of the Activity Indexesmentioning
confidence: 69%
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“…(2)), we used to model the stellar contribution present in the RV variations in the following section, our primary goal is to investigate some properties of the stellar activity and use them to constrain some parameter priors in the analysis of the radial velocities. This represents a reasonable expectation, because neither the activity indicators nor the RVs have been pre-whitened, and the variability patterns in the former could be present with similar properties in the latter, as was noticed by Affer et al (2016) during the analysis of another HADES target. In this sense, results from the analysis of the activity indicators can be used to train the GP regression of the RVs, by keeping unchanged the way the stellar activity contribution is modelled.…”
Section: Analysis Of the Activity Indexesmentioning
confidence: 69%
“…Affer et al 2016). Also, the h hyperparameter, corresponding to the mean amplitude of the stellar signal, is fully compatible with the expected value derived by Suárez Mascareño et al (2018) from the mean activity level of the star, log R HK , that is K exp = 1.9 ± 0.4 m s …”
Section: Analysis Of the Combined Hires And Harps-n Rv Time Seriesmentioning
confidence: 99%
“…While early surveys tried to avoid active M dwarfs, there is ongoing evidence that M dwarfs show radial velocity signals due to the simultaneous presence of lowmass planets and activity-related phenomena (e.g. Affer et al 2016). Furthermore, thanks to new instrumentation at IR wavelengths where lines are less affected by magnetic activity than in the optical (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…Our stellar sample is composed of 78 late-K/early-M dwarfs monitored within the HArps-N red Dwarf Exoplanet Survey (HADES), Affer et al (2016); Perger et al (2017), a collaborative effort between the Global Architecture of Planetary Systems project (GAPS; Covino et al 2013) 2 , the Institut de Ciències de l'Espai (ICE/CSIC), and the Instituto de Astrofísica de Canarias (IAC). Seventy-one stars have been observed to date covering a range in effective temperature from 3400 to 3900 K, and with spectral types between K7.5 and M3V.…”
Section: Stellar Samplementioning
confidence: 99%
“…They are mainly used for exoplanets search and characterization, an ever evolving field that has recently focused on the Mtype stars (e.g. Bonfils et al, 2013;Affer et al, 2016). These cool stars are very interesting targets for exoplanetary studies, due to their long lives, low masses and close-in habitable zone (e.g.…”
Section: Introductionmentioning
confidence: 99%