Modelling light and velocity curves of exoplanet hosts

Research in extrasolar-planet science is data-driven. With the advent of radial-velocity instruments like HARPS and HARPS-N, and transit space missions like Kepler, our ability to discover and characterise extrasolar planets is no longer limited by instrumental precision but by our ability to model...

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Autor principal: Díaz, R.F
Otros Autores: Santos, N.C, Monteiro, M.J, Campante, T.L
Formato: Acta de conferencia Capítulo de libro
Lenguaje:Inglés
Publicado: Springer Netherlands 2018
Acceso en línea:Registro en Scopus
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100 1 |a Díaz, R.F. 
245 1 0 |a Modelling light and velocity curves of exoplanet hosts 
260 |b Springer Netherlands  |c 2018 
270 1 0 |m Díaz, R.F.; Département d’Astronomie, Université de GenèveSwitzerland; email: rodrigo.diaz@unige.ch 
506 |2 openaire  |e Política editorial 
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520 3 |a Research in extrasolar-planet science is data-driven. With the advent of radial-velocity instruments like HARPS and HARPS-N, and transit space missions like Kepler, our ability to discover and characterise extrasolar planets is no longer limited by instrumental precision but by our ability to model the data accurately. This chapter presents the models that describe radial-velocity measurements and transit light curves. I begin by deriving the solution of the two-body problem and from there, the equations describing the radial velocity of a planet-host star and the distance between star and planet centres, necessary to model transit light curves. Stochastic models are then presented and I delineate how they are used to model complex physical phenomena affecting the exoplanet data sets, such as stellar activity. Finally, I give a brief overview of the processes of Bayesian inference, focussing on the construction of likelihood functions and prior probability distributions. In particular, I describe different methods to specify ignorance priors. © 2018, Springer International Publishing AG.  |l eng 
536 |a Detalles de la financiación: National Research Council of Science and Technology 
536 |a Detalles de la financiación: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 
536 |a Detalles de la financiación: Consejo Nacional de Investigaciones Científicas y Técnicas 
536 |a Detalles de la financiación: National Centre of Competence in Research Robotics 
536 |a Detalles de la financiación: Acknowledgements The author thanks the organisers of the IVth Azores International Advanced School in Space Sciences and acknowledges the participants—both lecturers and students—for the quality of their work. The preparation of this lecture was carried out within the frame of the Swiss National Centre for Competence in Research “PlanetS” funded by the Swiss National Science Foundation (SNSF). The author acknowledges support by the Argentinian National Council for Research and Technology (CONICET). 
593 |a Département d’Astronomie, Université de Genève, Versoix, Switzerland 
593 |a Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Buenos Aires, Argentina 
593 |a Instituto de Astronomía y Física del Espacio (IAFE), CONICET-Universidad de Buenos Aires, Buenos Aires, Argentina 
690 1 0 |a BAYESIAN NETWORKS 
690 1 0 |a INFERENCE ENGINES 
690 1 0 |a PROBABILITY DISTRIBUTIONS 
690 1 0 |a STARS 
690 1 0 |a STOCHASTIC MODELS 
690 1 0 |a STOCHASTIC SYSTEMS 
690 1 0 |a VELOCITY 
690 1 0 |a BAYESIAN INFERENCE 
690 1 0 |a LIKELIHOOD FUNCTIONS 
690 1 0 |a MODEL COMPLEXES 
690 1 0 |a PHYSICAL PHENOMENA 
690 1 0 |a RADIAL VELOCITY 
690 1 0 |a RADIAL VELOCITY INSTRUMENTS 
690 1 0 |a RADIAL VELOCITY MEASUREMENTS 
690 1 0 |a TWO-BODY PROBLEM 
690 1 0 |a EXTRASOLAR PLANETS 
700 1 |a Santos, N.C. 
700 1 |a Monteiro, M.J. 
700 1 |a Campante, T.L. 
711 2 |d 17 July 2016 through 27 July 2016  |g Código de la conferencia: 203889 
773 0 |d Springer Netherlands, 2018  |g v. 49  |h pp. 199-224  |p Astrophysics Space Sci. Proc.  |n Astrophysics and Space Science Proceedings  |x 15706591  |z 9783319593142  |t 4th Azores International Advanced School on Asteroseismology and Exoplanets: Listening to the Stars and Searching for New Worlds, 2016 
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