Gliese 49: Activity evolution and detection of a super-Earth

• Published in: arXiv.org 2020-12
• Main Authors: Perger, M, Scandariato, G, Ribas, I, Morales, J C, Affer, L, Azzaro, M, Amado, P J, Anglada-Escudé, G, Baroch, D, Barrado, D, Bauer, F F, Béjar, V J S, Caballero, J A, Cortés-Contreras, M, Damasso, M, Dreizler, S, González-Cuesta, L, González Hernández, J I, Guenther, E W, Henning, T, Herrero, E, Jeffers, S V, Kaminski, A, Kürster, M, Lafarga, M, Leto, G, López-González, M J, Maldonado, J, Micela, G, Montes, D, Pinamonti, M, Quirrenbach, A, Rebolo, R, Reiners, A, Rodríguez, E, Rodríguez-López, C, J H M M Schmitt, Sozzetti, A, A Suárez Mascareño, Toledo-Padrón, B, Sánchez, R Zanmar, Zapatero Osorio, M R, Zechmeister, M
• Format: Article
• Language: English
• Subjects: Astronomical models; Computer simulation; Datasets; Extrasolar planets; Faculae; Low mass stars; Markov analysis; Markov chains; Monte Carlo simulation; Orbits; Photometry; Planet detection; Planetary evolution; Spectrographs; Stellar activity; Stellar evolution; Stellar rotation; Tracers
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.1903.04808

Small planets around low-mass stars often show orbital periods in a range that corresponds to the temperate zones of their host stars which are therefore of prime interest for planet searches. Surface phenomena such as spots and faculae create periodic signals in radial velocities and in observational activity tracers in the same range, so they can mimic or hide true planetary signals. We aim to detect Doppler signals corresponding to planetary companions, determine their most probable orbital configurations, and understand the stellar activity and its impact on different datasets. We analyze 22 years of data of the M1.5V-type star Gl49 (BD+61 195) including HARPS-N and CARMENES spectrographs, complemented by APT2 and SNO photometry. Activity indices are calculated from the observed spectra, and all datasets are analyzed with periodograms and noise models. We investigate how the variation of stellar activity imprints on our datasets. We further test the origin of the signals and investigate phase shifts between the different sets. To search for the best-fit model we maximize the likelihood function in a Markov Chain Monte Carlo approach. As a result of this study, we are able to detect the super-Earth Gl49b with a minimum mass of 5.6 Ms. It orbits its host star with a period of 13.85d at a semi-major axis of 0.090 au and we calculate an equilibrium temperature of 350 K and a transit probability of 2.0%. The contribution from the spot-dominated host star to the different datasets is complex, and includes signals from the stellar rotation at 18.86d, evolutionary time-scales of activity phenomena at 40-80d, and a long-term variation of at least four years.