@Article{CarrubaAljbDomi:2021:IdAsGr,
               author = "Carruba, Val{\'e}rio and Aljbaae, Safwan and Domingos, R. C.",
          affiliation = "{Universidade Estadual Paulista (UNESP)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {Universidade Estadual Paulista 
                         (UNESP)}",
                title = "Identification of asteroid groups in the z1 and z2 nonlinear 
                         secular resonances through genetic algorithms",
              journal = "Celestial Mechanics and Dynamical Astronomy",
                 year = "2021",
               volume = "133",
               number = "6",
                pages = "e24",
                month = "June",
             keywords = "Asteroids: general, Asteroids: individual, Celestial mechanics, 
                         Data analysis, Methods, Minor planets, Minor planets.",
             abstract = "Linear secular resonances are observed when there is a ratio 
                         between the precession period of the longitudes of pericenter or 
                         nodes of a minor body and a planet. Nonlinear secular resonances 
                         occur for higher-order combinations of frequencies. They can 
                         change the shape of asteroid families in the (a, e, sin (i)) 
                         proper elements space. Identifying asteroids in secular resonances 
                         requires performing numerical simulations, and then visually 
                         inspecting if the resonant argument is librating, which is 
                         generally a time-consuming procedure. Here, we use machine 
                         learning genetic algorithms to select the most optimal model and 
                         training set to best-fit asteroids likely to be in librating 
                         states of the z1 and z2 secular resonances. We then identify 
                         groups in domains of librating asteroids, as predicted by our 
                         algorithms, and verified whether these clusters belong to known 
                         collisional families. Using this approach, we retrieved all the 
                         asteroid families known to interact with the two resonances and 
                         identified 5 fairly robust previously unknown groups.",
                  doi = "10.1007/s10569-021-10021-z",
                  url = "http://dx.doi.org/10.1007/s10569-021-10021-z",
                 issn = "0923-2958",
             language = "en",
           targetfile = "Carruba2021_Article_IdentificationOfAsteroidGroups.pdf",
        urlaccessdate = "20 maio 2024"
}