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  1. OA@INAF
  2. PRODOTTI RICERCA INAF
  3. 1 CONTRIBUTI IN RIVISTE (Journal articles)
  4. 1.01 Articoli in rivista
Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12386/29051
Title: An efficient algorithm for prioritizing NEA physical observations
Authors: Cortese, M.
Perozzi, E.
Micheli, M.
Borgia, B.
DOTTO, Elisabetta 
MAZZOTTA EPIFANI, Elena 
Ieva, S.
Barucci, M. A.
Perna, D.
Issue Date: 2017
Journal: METEORITICS & PLANETARY SCIENCE 
Number: 52
Issue: 3
First Page: 522
Abstract: The present near-Earth asteroids (NEA) discovery rate has surpassed 1500 objects per year, thus calling for extensive observation campaigns devoted to physical characterization in order to define successful mitigation strategies in case of possible impactors. A tool is presented which, through a prioritization algorithm, aims to optimize the planning and the execution of NEA physical observations. Two ranking criteria are introduced, Importance and Urgency, accounting for the need of satisfying the two basic observational modes for physical characterization, that is, rapid response and large observing programs, aimed at selecting targets for exploration and mitigation space missions. The resulting tool generates a daily table of observable targets and it can also be run as a stand-alone tool in order to provide future observing opportunities at a specific date of interest. It has been developed and implemented within the framework of the NEOShield-2 EU/HORIZON 2020 Project; the output of the prioritization algorithm is publicly available, in tabular format, on the NEOShield-2 NEO Properties Portal (<url href="http://www.neoshield.net/the-neoshield-project/project-activities/neo-properties-portal">http://www.neoshield.net/the-neoshield-project/project-activities/neo-properties-portal), reachable from the main page of the Project website (<url href="http://www.neoshield.eu">http://www.neoshield.eu).
Acknowledgments: We acknowledge the financial support from the NEOShield-2 project, funded by the European Commission’s HORIZON 2020 program (contract PROTEC-2-2014-640351). This work was also partially funded under ESA contract 4000112366 SSA P2-NEO-I NEO Precursor Services. The postgraduate course in Space Science and Technology of the Department of Mathematics, University of Rome Tor Vergata is gratefully acknowledged. The P3L is available online thanks to the invaluable support of Esther Parrilla, Maria del Mar, Alvaro Ortiz, and Juan-Luis Cano (Deimos Space). Finally, we would like to thank the referees of this paper for their helpful suggestions.
URI: http://hdl.handle.net/20.500.12386/29051
URL: https://onlinelibrary.wiley.com/doi/full/10.1111/maps.12810
ISSN: 1086-9379
DOI: 10.1111/maps.12810
Bibcode ADS: 2017M&PS...52..522C
Fulltext: reserved
Appears in Collections:1.01 Articoli in rivista

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