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Quick-MESS: A fast statistical tool for Exoplanet Imaging Surveys

Published online by Cambridge University Press:  06 January 2014

Mariangela Bonavita ,
Ernst De Mooij ,
Ray Jayawardhana  and
Raffaele Gratton
Mariangela Bonavita
Affiliation:
Osservatorio Astronomico di Padova - INAF Vicolo dell'Osservatorio, 5 35141 Padova (Italy) email: mariangela.bonavita@oapd.inaf.it Dept. of Astronomy & Astrophysics, University of Toronto, 50 St. George St. M5S 3H4 Toronto ON (Canada)
Ernst De Mooij
Affiliation:
Dept. of Astronomy & Astrophysics, University of Toronto, 50 St. George St. M5S 3H4 Toronto ON (Canada)
Ray Jayawardhana
Affiliation:
Dept. of Astronomy & Astrophysics, University of Toronto, 50 St. George St. M5S 3H4 Toronto ON (Canada)
Raffaele Gratton
Affiliation:
Osservatorio Astronomico di Padova - INAF Vicolo dell'Osservatorio, 5 35141 Padova (Italy) email: mariangela.bonavita@oapd.inaf.it
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Abstract

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Several tools have been developed for the analysis of the results of direct imaging exoplanet surveys, mostly using a combination of Monte-Carlo simulations or a Bayesian approach. Here we present a novel approach to the statistical analysis of Direct Imaging surveys, called Quick-MESS, which allows for a much faster and flexible analysis.

Keywords

stars: low-massbrown dwarfs(stars:) planetary systemsmethods: statistical
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 8 , Symposium S299: Exploring the Formation and Evolution of Planetary Systems , June 2013 , pp. 28 - 29
Copyright
Copyright © International Astronomical Union 2013 

References

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