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Radial-velocity fitting challenge

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  • معلومة اضافية
    • Contributors:
      Observatoire Astronomique de l'Université de Genève (ObsGE); Université de Genève = University of Geneva (UNIGE); University Institute for Intelligent Systems and Numerical Applications in Engineering; University of Las Palmas de Gran Canaria (ULPGC); Université de Lille, Sciences et Technologies; Institut de Mécanique Céleste et de Calcul des Ephémérides (IMCCE); Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Lille-Centre National de la Recherche Scientifique (CNRS); Thüringer Landessternwarte Tautenburg (TLS); School of Physics; University of Exeter; INAF - Osservatorio Astronomico di Brera (OAB); Istituto Nazionale di Astrofisica (INAF); INAF - Osservatorio Astrofisico di Torino (OATo)
    • بيانات النشر:
      HAL CCSD
      EDP Sciences
    • الموضوع:
      2017
    • Collection:
      LillOA (HAL Lille Open Archive, Université de Lille)
    • نبذة مختصرة :
      International audience ; Context. Radial-velocity (RV) signals arising from stellar photospheric phenomena are the main limitation for precise RV measurements. Those signals induce RV variations an order of magnitude larger than the signal created by the orbit of Earth-twins, thus preventing their detection. Aims: Different methods have been developed to mitigate the impact of stellar RV signals. The goal of this paper is to compare the efficiency of these different methods to recover extremely low-mass planets despite stellar RV signals. However, because observed RV variations at the meter-per-second precision level or below is a combination of signals induced by unresolved orbiting planets, by the star, and by the instrument, performing such a comparison using real data is extremely challenging. Methods: To circumvent this problem, we generated simulated RV measurements including realistic stellar and planetary signals. Different teams analyzed blindly those simulated RV measurements, using their own method to recover planetary signals despite stellar RV signals. By comparing the results obtained by the different teams with the planetary and stellar parameters used to generate the simulated RVs, it is therefore possible to compare the efficiency of these different methods. Results: The most efficient methods to recover planetary signals take into account the different activity indicators, use red-noise models to account for stellar RV signals and a Bayesian framework to provide model comparison in a robust statistical approach. Using the most efficient methodology, planets can be found down to K/N= K pl/RV_{rms ×&surd;{N obs }=5} with a threshold of K/N = 7.5 at the level of 80-90% recovery rate found for a number of methods. These recovery rates drop dramatically for K/N smaller than this threshold. In addition, for the best teams, no false positives with K/N > 7.5 were detected, while a non-negligible fraction of them appear for smaller K/N. A limit of K/N = 7.5 seems therefore a safe threshold to ...
    • Relation:
      info:eu-repo/semantics/altIdentifier/arxiv/1609.03674; hal-02178922; https://hal.science/hal-02178922; https://hal.science/hal-02178922/document; https://hal.science/hal-02178922/file/aa28671-16.pdf; ARXIV: 1609.03674
    • الرقم المعرف:
      10.1051/0004-6361/201628671
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.100B09D7