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Micro-pixel image position sensing testbed

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dc.contributor.author Nemati, Bijan
dc.contributor.author Shao, Michael
dc.contributor.author Zhai, Chengxing
dc.contributor.author Erlig, Hernan
dc.contributor.author Wang, Xu
dc.contributor.author Goullioud, Renaud
dc.date.accessioned 2013-09-16T17:50:46Z
dc.date.available 2013-09-16T17:50:46Z
dc.date.issued 2011-08-24
dc.identifier.citation SPIE Optics + Photonics 2011, San Diego, California, August 20-25, 2011. en_US
dc.identifier.clearanceno 11-3687
dc.identifier.uri http://hdl.handle.net/2014/43718
dc.description.abstract The search for Earth-mass planets in the habitable zones of nearby Sun-like stars is an important goal of astrophysics. This search is not feasible with the current slate of astronomical instruments. We propose a new concept for microarcsecond astrometry which uses a simplified instrument and hence promises to be low cost. The concept employs a telescope with only a primary, laser metrology applied to the focal plane array, and new algorithms for measuring image position and displacement on the focal plane. The required level of accuracy in both the metrology and image position sensing is at a few micro-pixels. We have begun a detailed investigation of the feasibility of our approach using simulations and a micro-pixel image position sensing testbed called MCT. So far we have been able to demonstrate that the pixel-to-pixel distances in a focal plane can be measured with a precision of 20 micro-pixels and image-to-image distances with a precision of 30 micro-pixels. We have also shown using simulations that our image position algorithm can achieve accuracy of 4 micro-pixels in the presence of λ/20 wavefront errors. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2011. en_US
dc.subject astrometry en_US
dc.subject exoplanets en_US
dc.subject metrology en_US
dc.subject micro-pixel en_US
dc.title Micro-pixel image position sensing testbed en_US
dc.type Preprint en_US


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