Improving the Image Simulations for SNAP

Details Improving the Image Simulations for SNAP Improving the Image Simulations for SNAP

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005aas...20718001f&link_type=abstract

American Astronomical Society Meeting 207, #180.01; Bulletin of the American Astronomical Society, Vol. 37, p.1458

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Scientific paper

Dark energy has simultaneously been the most elusive and important phenomenon in the shaping of the universe. A case for a proposed space-telescope called SNAP (SuperNova Acceleration Probe) is being built, a cruicial component of which is image simulations. One method for this is "Shapelets," developed at Caltech. Shapelets form an orthonormal basis and are uniquely able to represent realistic space images and create new images based on real ones. Previously, simulations were created using the Hubble Deep Field (HDF) as a basis set in one band. In this project, image simulations are created using the 4 bands of the Hubble Ultra Deep Field (UDF) as a basis set. This provides a better basis for simulations because: (1) the survey is deeper, (2) it has a higher resolution, and (3) this is a step closer to simulating the 9 bands of SNAP. Image simulations are achieved by detecting sources in the UDF, decomposing them into shapelets, tweaking their parameters in realistic ways, and recomposing them into new images. Morphological tests were also run to verify the realism of the simulations. These simulations have a wide variety of uses, including the ability to simulate weak gravitational lensing.

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