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Asteroid mass estimation based on mutual encounters

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dc.date.accessioned 2016-09-05T11:08:15Z und
dc.date.accessioned 2017-10-24T12:04:14Z
dc.date.available 2016-09-05T11:08:15Z und
dc.date.available 2017-10-24T12:04:14Z
dc.date.issued 2016-09-05T11:08:15Z
dc.identifier.uri http://radr.hulib.helsinki.fi/handle/10138.1/5739 und
dc.identifier.uri http://hdl.handle.net/10138.1/5739
dc.title Asteroid mass estimation based on mutual encounters en
ethesis.discipline Astronomy en
ethesis.discipline Tähtitiede fi
ethesis.discipline Astronomi sv
ethesis.discipline.URI http://data.hulib.helsinki.fi/id/6f5d95bc-1d1b-46ec-8692-e74fe88e4565
ethesis.department.URI http://data.hulib.helsinki.fi/id/3acb09b1-e6a2-4faa-b677-1a1b03285b66
ethesis.department Institutionen för fysik sv
ethesis.department Department of Physics en
ethesis.department Fysiikan laitos fi
ethesis.faculty Matematisk-naturvetenskapliga fakulteten sv
ethesis.faculty Matemaattis-luonnontieteellinen tiedekunta fi
ethesis.faculty Faculty of Science en
ethesis.faculty.URI http://data.hulib.helsinki.fi/id/8d59209f-6614-4edd-9744-1ebdaf1d13ca
ethesis.university.URI http://data.hulib.helsinki.fi/id/50ae46d8-7ba9-4821-877c-c994c78b0d97
ethesis.university Helsingfors universitet sv
ethesis.university University of Helsinki en
ethesis.university Helsingin yliopisto fi
dct.creator Siltala, Lauri
dct.issued 2016
dct.language.ISO639-2 eng
dct.abstract Estimates for asteroid masses are based on gravitational perturbations on the orbits of other objects such as Mars, spacecraft, or other asteroids and/or their satellites. In the case of asteroid-asteroid perturbations, this leads to a 13-dimensional inverse problem where the aim is to derive the mass of the perturbing asteroid and six orbital elements for both the perturbing asteroid and the test asteroid using astrometric observations. We have developed and implemented three different mass estimation algorithms utilizing asteroid-asteroid perturbations into the OpenOrb asteroid-orbit-computation software: the very rough 'marching' approximation, in which the asteroid orbits are fixed at a given epoch, reducing the problem to a one-dimensional estimation of the mass, an implementation of the Nelder-Mead simplex method, and most significantly, a Markov-Chain Monte Carlo (MCMC) approach. We introduce each of these algorithms with particular focus on the MCMC algorithm, and present example results for both synthetic and real data. Our results agree with the published mass estimates, but suggest that the published uncertainties may be misleading as a consequence of using linearized mass-estimation methods. Finally, we discuss remaining challenges with the algorithms as well as future plans. en
dct.language en
ethesis.language.URI http://data.hulib.helsinki.fi/id/languages/eng
ethesis.language English en
ethesis.language englanti fi
ethesis.language engelska sv
ethesis.thesistype pro gradu-avhandlingar sv
ethesis.thesistype pro gradu -tutkielmat fi
ethesis.thesistype master's thesis en
ethesis.thesistype.URI http://data.hulib.helsinki.fi/id/thesistypes/mastersthesis
dct.identifier.urn URN:NBN:fi-fe2017112251952
dc.type.dcmitype Text

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