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Simulator for Microlens Planet Surveys

Published online by Cambridge University Press:  29 April 2014

Sergei I. Ipatov
Affiliation:
Alsubai Est. for Scientific Studies, Doha, Qatar email: siipatov@hotmail.com
Keith Horne
Affiliation:
University of St. Andrews, St.Andrews, Scotland, United Kingdom
Khalid A. Alsubai
Affiliation:
Qatar Foundation, Doha, Qatar
Daniel M. Bramich
Affiliation:
European Southern Observatory, Garching bei München, Germany
Martin Dominik
Affiliation:
University of St. Andrews, St.Andrews, Scotland, United Kingdom
Markus P. G. Hundertmark
Affiliation:
University of St. Andrews, St.Andrews, Scotland, United Kingdom
Christine Liebig
Affiliation:
University of St. Andrews, St.Andrews, Scotland, United Kingdom
Colin D. B. Snodgrass
Affiliation:
Max Planck Institute for Solar System Research, Katlenburg-Lindau, Germany
Rachel A. Street
Affiliation:
Las Cumbres Observatory Global Telescope Network, Santa Barbara, USA
Yiannis Tsapras
Affiliation:
Las Cumbres Observatory Global Telescope Network, Santa Barbara, USA School of Physics and Astronomy, Queen Mary, University of London, United Kingdom
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Abstract

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We summarize the status of a computer simulator for microlens planet surveys. The simulator generates synthetic light curves of microlensing events observed with specified networks of telescopes over specified periods of time. Particular attention is paid to models for sky brightness and seeing, calibrated by fitting to data from the OGLE survey and RoboNet observations in 2011. Time intervals during which events are observable are identified by accounting for positions of the Sun and the Moon, and other restrictions on telescope pointing. Simulated observations are then generated for an algorithm that adjusts target priorities in real time with the aim of maximizing planet detection zone area summed over all the available events. The exoplanet detection capability of observations was compared for several telescopes.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2014 

References

Horne, K., Snodgrass, C., & Tsapras, Y. 2009, MNRAS 396 20872102CrossRefGoogle Scholar