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Title:
Quick-MESS: A fast statistical tool for Exoplanet Imaging Surveys
Authors:
Bonavita, Mariangela; De Mooij, Ernst; Jayawardhana, Ray; Gratton, Raffaele
Affiliation:
AA(Osservatorio Astronomico di Padova - INAF Vicolo dell'Osservatorio, 5 35141 Padova (Italy) ), AB(Dept. of Astronomy & Astrophysics, University of Toronto, 50 St. George St. M5S 3H4 Toronto ON (Canada)), AC(Dept. of Astronomy & Astrophysics, University of Toronto, 50 St. George St. M5S 3H4 Toronto ON (Canada)), AD(Osservatorio Astronomico di Padova - INAF Vicolo dell'Osservatorio, 5 35141 Padova (Italy) )
Publication:
Exploring the Formation and Evolution of Planetary Systems, Proceedings of the International Astronomical Union, IAU Symposium, Volume 299, pp. 28-29
Publication Date:
01/2014
Origin:
CUP
Keywords:
stars: low-mass, brown dwarfs, (stars:) planetary systems, methods: statistical,
Abstract Copyright:
(c) 2014: Copyright © International Astronomical Union 2013
DOI:
10.1017/S1743921313007710
Bibliographic Code:
2014IAUS..299...28B

Abstract

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.

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