Zobrazeno 1 - 10
of 1 049
pro vyhledávání: '"Barucci P"'
Autor:
Wargnier, Antonin, Poch, Olivier, Poggiali, Giovanni, Gautier, Thomas, Doressoundiram, Alain, Beck, Pierre, Nakamura, Tomoki, Miyamoto, Hideaki, Kameda, Shingo, Ruscassier, Nathalie, Buch, Arnaud, Hasselmann, Pedro H., Sultana, Robin, Quirico, Eric, Fornasier, Sonia, Barucci, Antonella
Surface porosity has been found to be an important property for small bodies. Some asteroids and comets can exhibit an extremely high surface porosity in the first millimeter layer. This layer may be produced by various processes and maintained by th
Externí odkaz:
http://arxiv.org/abs/2408.14149
Autor:
Fornasier, S., Dotto, E., Panuzzo, P., Delbò, M., Belskaya, I., Krugly, Y., Inasaridze, R., Barucci, M. A., Perna, D., Brucato, J., Birlan, M.
Publikováno v:
A&A 688, L7 (2024)
This study aims to determine the size, albedo and rotational period of (98943) 2001 CC21, target of the Hayabusa2 extended mission, using thermal data from the Spitzer Space telescope and ground based observations. The Spitzer data were acquired with
Externí odkaz:
http://arxiv.org/abs/2407.13017
Autor:
Barucci, Andrea, Ciacci, Giulia, Liò, Pietro, Azevedo, Tiago, Di Cencio, Andrea, Merella, Marco, Bianucci, Giovanni, Bosio, Giulia, Casati, Simone, Collareta, Alberto
All fields of knowledge are being impacted by Artificial Intelligence. In particular, the Deep Learning paradigm enables the development of data analysis tools that support subject matter experts in a variety of sectors, from physics up to the recogn
Externí odkaz:
http://arxiv.org/abs/2405.04189
Autor:
Wargnier, Antonin, Gautier, Thomas, Doressoundiram, Alain, Poggiali, Giovanni, Beck, Pierre, Poch, Olivier, Quirico, Eric, Nakamura, Tomoki, Miyamoto, Hideaki, Kameda, Shingo, Hasselmann, Pedro H., Ruscassier, Nathalie, Buch, Arnaud, Fornasier, Sonia, Barucci, Maria Antonietta
Previous observations of Phobos and Deimos, the moons of Mars, have improved our understanding of these small bodies. However, their formation and composition remain poorly constrained. Physical and spectral properties suggest that Phobos may be a we
Externí odkaz:
http://arxiv.org/abs/2405.02999
Autor:
Fornasier, S., Wargnier, A., Hasselmann, P. H., Tirsch, D., Matz, K. -D., Doressoundiram, A., Gautier, T., Barucci, M. A.
Publikováno v:
A&A 686, A203 (2024)
This study aims to analyze Phobos' photometric properties using Mars Express mission observations to support the Martian Moons eXploration mission. We analyzed resolved images of Phobos acquired between 2004 and 2022 by the HRSC and the SRC cameras o
Externí odkaz:
http://arxiv.org/abs/2403.12156
We investigate the portfolio frontier and risk premia in equilibrium when an institutional investor aims to minimize the tracking error variance and to attain an ESG score higher than the benchmark's one (ESG mandate). Provided that a negative ESG pr
Externí odkaz:
http://arxiv.org/abs/2403.11622
In this work, we explore how to classify asteroids in co-orbital motion with a given planet using Machine Learning. We consider four different kinds of motion in mean motion resonance with the planet, nominally Tadpole, Horseshoe and Quasi-satellite,
Externí odkaz:
http://arxiv.org/abs/2309.10603
Autor:
Hromakina, T., Birlan, M., Barucci, M. A., Fulchignoni, M., Colas, F., Fornasier, S., Merlin, F., Sonka, A., Anghel, S., Poggiali, G., Belskaya, I., Perna, D., Dotto, E., team, the NEOROCKS
We present new results of the observing program which is a part of the NEOROCKS project aimed to improve knowledge on physical properties of near-Earth Objects (NEOs) for planetary defense. Photometric observations were performed using the 1.2m teles
Externí odkaz:
http://arxiv.org/abs/2302.01165
Autor:
Marzi, Chiara, Giannelli, Marco, Barucci, Andrea, Tessa, Carlo, Mascalchi, Mario, Diciotti, Stefano
Publikováno v:
Sci Data 11, 115 (2024)
Pooling publicly-available MRI data from multiple sites allows to assemble extensive groups of subjects, increase statistical power, and promote data reuse with machine learning techniques. The harmonization of multicenter data is necessary to reduce
Externí odkaz:
http://arxiv.org/abs/2211.04125
Publikováno v:
AOQU, Vol 5, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/69d2057f4d1e4f38b8bc0d3c5cca2a83
