HADES RV Programme with HARPS-N at TNG XV. Planetary occurrence rates around early-M dwarfs
M. Pinamonti, A. Sozzetti, J. Maldonado, L. Affer, G. Micela, A. S., Bonomo, A. F. Lanza, M. Perger, I. Ribas, J. I. Gonz\'alez Hern\'andez, A., Bignamini, R. Claudi, E. Covino, M. Damasso, S. Desidera, P. Giacobbe, E., Gonz\'alez-\'Alvarez, E. Herrero, G. Leto, A. Maggio

TL;DR
This study uses Bayesian analysis and Gaussian processes on 6 years of HARPS-N data to estimate the occurrence rates of small planets around early-M dwarfs, revealing a high frequency of low-mass planets with specific orbital periods.
Contribution
It introduces a comprehensive Bayesian and Gaussian process methodology to accurately detect and analyze planets around early-M dwarfs, refining occurrence rate estimates.
Findings
High occurrence rate of low-mass planets (85%) with 10-100 day periods.
Lower frequency (10%) of short-period planets (1-10 days).
Stellar mass significantly influences planetary system formation.
Abstract
We present the complete Bayesian statistical analysis of the HArps-n red Dwarf Exoplanet Survey (HADES), which monitored the radial velocities of a large sample of M dwarfs with HARPS-N at TNG, over the last 6 years. The targets were selected in a narrow range of spectral types from M0 to M3, M M, in order to study the planetary population around a well-defined class of host stars. We take advantage of Bayesian statistics to derive an accurate estimate of the detectability function of the survey. Our analysis also includes the application of Gaussian Process approach to take into account stellar activity induced radial velocity variations, and improve the detection limits, around the most-observed and most-active targets. The Markov chain Monte Carlo and Gaussian process technique we apply in this analysis has proven very effective in the study of…
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