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Distance Estimators' performance on Gaia DR2

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dc.contributor Luri Carrascoso, Xavier
dc.creator Ribes Metidieri, Ariadna
dc.date 2018-09-14T14:48:12Z
dc.date 2018-09-14T14:48:12Z
dc.date 2018-01
dc.date.accessioned 2024-12-16T10:26:40Z
dc.date.available 2024-12-16T10:26:40Z
dc.identifier http://hdl.handle.net/2445/124583
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/21413
dc.description Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2018, Tutor: Xavier Luri Carrascoso
dc.description An improvement in the estimation of distance and distance modulus cannot be achieved by only an enhancement of the precision of the trigonometric parallax, but with the correct statistical treatment of the parallaxes to derive these parameters. We aim to provide a recommendation regarding the distance estimators to be used for Gaia DR2 and onwards, as well as to rise awareness about the practice of unquestioningly inverting the parallax. We test the performance of two Bayesian and a frequentist methods over a simulated sample of 107 Gaia DR2 stars, using a specifically developed Python software. We conclude that the use of the Bayesian method with the Exponentially Decreasing Space Density Prior improves the estimation of distance, since it has a good behavior for high relative error parallaxes, with a much smaller bias and dispersion than the rest of estimates.
dc.format 5 p.
dc.format application/pdf
dc.language eng
dc.rights cc-by-nc-nd (c) Ribes, 2018
dc.rights http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights info:eu-repo/semantics/openAccess
dc.source Treballs Finals de Grau (TFG) - Física
dc.subject Observatoris astronòmics
dc.subject Astrometria
dc.subject Treballs de fi de grau
dc.subject Astronomical observatories
dc.subject Astrometry
dc.subject Bachelor's theses
dc.title Distance Estimators' performance on Gaia DR2
dc.type info:eu-repo/semantics/bachelorThesis


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