Detecting Exoplanets using Bayesian Object Detection

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• Farhan Feroz (Cavendish/DAMTP)
• Wednesday 04 June 2014, 16:30-17:30
• Martin Ryle Seminar Room, Kavli Institute.

If you have a question about this talk, please contact Dr B.-O. Demory.

Detecting objects from noisy data-sets is common practice in astrophysics. Object detection presents a particular challenge in terms of statistical inference, not only because of its multi-modal nature but also because it combines both the parameter estimation (for characterizing objects) and model selection problems (in order to quantify the detection). Bayesian inference provides a mathematically rigorous solution to this problem by calculating marginal posterior probabilities of models with different number of objects. I will discuss several Bayesian approaches to object detection problems and describe some recent applications these methods in the detection of exoplanets.

This talk is part of the Exoplanet Seminars series.

This talk is included in these lists:

• Cambridge Astronomy Talks
• Combined External Astrophysics Talks DAMTP
• Cosmology, Astrophysics and General Relativity
• Exoplanet Seminars
• Institute of Astronomy Talk Lists
• LCLU Departmental Talks
• Martin Ryle Seminar Room, Kavli Institute

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