ETD

Digital archive of theses discussed at the University of Pisa

 

Tesi etd-10042020-112838


Thesis type
Tesi di laurea magistrale
Author
MOCHI, MADDALENA
URN
etd-10042020-112838
Thesis title
Impact Monitoring of Near-Earth Objects: review of classical results and new tools for the optimized follow-up of imminent impactors
Department
FISICA
Course of study
FISICA
Supervisors
relatore Prof. Tommei, Giacomo
tutor Prof. Paolicchi, Paolo
Keywords
  • imminent impactors
  • impact monitoring
  • near-earth objects
Graduation session start date
26/10/2020;
Consultabilità
Completa
Summary
Asteroids represent the majority of minor bodies in the solar system. Some of them, known as Near Earth Objects (NEOs), can run on trajectories that come close to, or even intersect, the orbit of the Earth and may entail a risk of collision with our planet. Predicting the occurrence of such collisions as early as possible, is the task of Impact Monitoring.
Dedicated algorithms are in charge of orbit determination and risk assessment for any detected NEO, but their efficiency is limited in cases in which the object has been observed for a short period of time, as is the case with newly discovered asteroids and imminent impactors: objects due to hit the Earth, detected only a few hours in advance of impact. This timespan might be too short to take any effective safety countermeasure. For this reason, an improvement of current observation capabilities is necessary and, in this frame, the NEOSTEL Fly-Eye telescope is being realized.
The telescope is expected to increase the number of NEOs and, consequently, imminent impactors detected per year, thus requiring an improvement of the methods and algorithms used to handle such cases, in order to decide if rapid follow-up is necessary to confirm or dismiss the possibility of an impact.
In this scenario, this work focuses on the development and testing of new Impact Monitoring tools, aiming to assign the correct follow-up priority to newly discovered objects, based on their MOID (Minimal Orbit Intersection Distance) and visibility time.
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