Statistics – Computation
Scientific paper
Jan 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21740302b&link_type=abstract
American Astronomical Society, AAS Meeting #217, #403.02; Bulletin of the American Astronomical Society, Vol. 43, 2011
Statistics
Computation
Scientific paper
Future weak lensing surveys will require control of errors in shear measurement to a degree that is currently impossible even with simplified simulated image data. The observing strategies of many current and future surveys -- which result in many exposures of each patch of sky, each with a different point spread function (PSF) -- complicate the shear estimation problem further, as it has become clear that current image co-addition methods will not suffice. Multi-epoch simultaneous fitting ("multifit") is a promising alternative, but it requires flexible, general models to avoid problems (including multiplicative shear biases) with underfitting. By constructing "eigenmorphology" basis functions using Gauss-Hermite functions and a training set of well-resolved galaxies, we develop a class of galaxy models that can represent complex morphologies with a relatively small number of linear parameters, providing the needed flexibility and modeling power for multifit while retaining the computational efficiency necessary for an algorithm that must be applied to surveys of billions of galaxies observed hundreds of times.
No associations
LandOfFree
Multi-Epoch Galaxy Modeling for Shear and Morphology Measurement does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Multi-Epoch Galaxy Modeling for Shear and Morphology Measurement, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multi-Epoch Galaxy Modeling for Shear and Morphology Measurement will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1403291