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The taxonomic classification of asteroids is important to gain insights on their composition and texture of their surfaces for those asteroids never explored by space missions. Nevertheless, a large number of interesting Near-Earth Objects (NEOs), such as Atiras, Earth co-orbitals and Earth Trojans, have orbital dynamics that limit their observability by ground-based telescopes only during challenging twilight conditions. These objects hold clues to the dynamical history of the inner solar system, as well as the physical evolution of asteroids in extreme environments.For this reason, since 2021, a project is under way collecting data by using the Large Binocular Camera (LBC) at Large Binocular Telescope (LBT) in evening and morning astronomical twilight time to discover and physically characterize NEOs in the low solar elongation region using multiband photometry in g, r, i and z Sloan band 1. The resulting data of these measurements will be used to allow the taxonomic classification of these objects, following the methodology described in 2 according to which strict boundaries in the overall spectral gri slope and depth of the one-micron band (i-z) are used to classify the targets into ten broad classes.Aiming to address the problem of the gap in the mapping of Atira classification to meteorite groups, we are investigating the possibility to obtain synthetic Sloan values from the reflectance spectra of meteorites and terrestrial analogues of planetary surfaces, available in public spectral libraries. After this step, we will use the methodology applied by 2 to the synthetic sloan values on meteorites, testing the possibility to support the taxonomic classification.In this conference we will show the results of the validation of such approach using the reflectance spectrum and photometric data of asteroids for which the link with a meteorite group is known.Lastly, we will discuss about the need of strengthen the interpretation of less investigated objects by photometric measurements with sloan colors on planetary analogues.References1 Giunta, A. et al. 2021, LBT Prop. N. IT-2021B-044, A twilight sky survey with LBT: catching near-Sun objects.2 DeMeo Carry (2013) The taxonomic distribution of asteroids from multi-filter all-sky photometric surveys, Icarus, vol. 226, no. 1.
Petropoulou et al. (Wed,) studied this question.