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Towards A Census of Earth-mass Exo-planets with Gravitational Microlensing

Authors :
Beaulieu, J. P.
Kerins, E.
Mao, S.
Bennett, D.
Cassan, A.
Dieters, S.
Gaudi, B. S.
Gould, A.
Batista, V.
Bender, R.
Brillant, S.
Cook, K.
Coutures, C.
Dominis-Prester, D.
Donatowicz, J.
Fouqué, P.
Grebel, E.
Greenhill, J.
Heyrovsky, D.
Horne, K.
Kubas, D.
Marquette, J. B.
Menzies, J.
Rattenbury, N. J.
Ribas, I.
Sahu, K.
Tsapras, Y.
Udalski, A.
Vinter, C.
Publication Year :
2008

Abstract

Thirteen exo-planets have been discovered using the gravitational microlensing technique (out of which 7 have been published). These planets already demonstrate that super-Earths (with mass up to ~10 Earth masses) beyond the snow line are common and multiple planet systems are not rare. In this White Paper we introduce the basic concepts of the gravitational microlensing technique, summarise the current mode of discovery and outline future steps towards a complete census of planets including Earth-mass planets. In the near-term (over the next 5 years) we advocate a strategy of automated follow-up with existing and upgraded telescopes which will significantly increase the current planet detection efficiency. In the medium 5-10 year term, we envision an international network of wide-field 2m class telescopes to discover Earth-mass and free-floating exo-planets. In the long (10-15 year) term, we strongly advocate a space microlensing telescope which, when combined with Kepler, will provide a complete census of planets down to Earth mass at almost all separations. Such a survey could be undertaken as a science programme on Euclid, a dark energy probe with a wide-field imager which has been proposed to ESA's Cosmic Vision Programme.<br />Comment: 10 pages. White Paper submission to the ESA Exo-Planet Roadmap Advisory Team. See also "Inferring statistics of planet populations by means of automated microlensing searches" by M. Dominik et al. (arXiv:0808.0004)

Subjects

Subjects :
Astrophysics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.0808.0005
Document Type :
Working Paper