In this section we report the papers published by our group, divided by the main topic:
1) V. Carruba, S. Aljbaae, A. Lucchini (2019), Machine-learning identification of asteroid groups, MNRAS, 488, 1377.
2) V. Carruba, F. Spoto, W. Barletta, S. Aljbaae , À. Fazenda, B. Martins (2020), The population of rotational fission clusters inside asteroid collisional families, Nature Astronomy, 4, 83.
Github repository: https://github.com/valeriocarruba/Natastron
1) V. Carruba, S. Aljbaae , R. C. Domingos, A. Lucchini, P. Furlaneto (2020), Machine learning classification of new asteroid families members. MNRAS, 496, 540.
GitHub repository: https://github.com/valeriocarruba/Machine-learning-classification-of-new-asteroid-families-members
2) V. Carruba, S. Aljbaae, R. C. Domingos, (2021), Identification of asteroids groups in the z1 and z2 non-linear secular resonances through genetic algorithms, CMDA, 133, A24.
3) R. S. Souza, A. Krone-Martins, E. Ishida, V. Carruba, R. C. Domingos, S. Aljbaae, M. Huaman, W. Barletta, (2021), Probabilistic modeling of
asteroid diameters from Gaia EDR2 errors, Research Notes of the American
Astronomical Society, 5, 199.
4) M. V. F. Lourenco, V. Carruba (2022), Genetic optimization of asteroid families membership, Frontiers of Astronomy and Space Sciences, 9, A988729.
5) Carruba V., Aljbaae S., G. Carita, M. V. F. Lourenco, B. Martins, A. A. Abreucon, 2023, Imbalanced classification applied to asteroid resonant dynamics, Frontiers in Astronomy and Space Sciences, 10, A1196223.
GitHub repository: https://github.com/valeriocarruba/Imbalanced_Classification_for_Resonant_Dynamics
6) G. Carita , S. Aljbaae, A. H. Morais, A. C. Signor, A.F.B.A. Prado, V. Carruba, H. Hussmann, Image Classifcation of Second and Third order Retrograde Resonance in the Planar Circular Restricted Three-Body Problem. 2024, CMDA, 139, A10.
1) V. Carruba, S. Aljbaae, R.C. Domingos, W. Barletta (2021), Artificial Neural Network classification of asteroids in the M1:2 mean-motion resonance with Mars, MNRAS, 504, 692.
GitHub repository: https://github.com/valeriocarruba/ANN_Classification_of_M12_resonant_argument_images
2) V. Carruba, S. Aljbaae, R. C. Domingos, M. Huaman, W. Barletta (2022), Identifying the population of stable nu6 resonant asteroids using large databases, MNRAS 514, 4803.
3) V. Carruba, S. Aljbaae, G. Carita, R. C. Domingos, B. Martins,
2022, Optimization of Artificial Neural Networks models applied to
the identification of images of asteroids' resonant arguments, CMDA, 134, A59.
4) V. Carruba, S. Aljbaae, Z. Knezevic, M. Mahlke, J. R. Masiero, F. Roig, R. C. Domingos, M. Huaman, A. Alves, B. S. Martins, G. Carita, M. Lourenço, S. C. Destouni, On the identification of the first two young asteroid families in g-type non-linear secular resonances 2024, MNRAS, 528, 796-814.
GitHub repository: https://github.com/valeriocarruba/ACFI-Chaos-identification-through-the-autocorrelation-function-ind...