[c]LensEnt2: Maximum-entropy weak lens reconstruction[/c][/b]
Abstract: LensEnt2 is a maximum entropy reconstructor of weak lensing mass maps. The method takes each galaxy shape as an independent estimator of the reduced shear field and incorporates an intrinsic smoothness, determined by Bayesian methods, into the reconstruction. The uncertainties from both the intrinsic distribution of galaxy shapes and galaxy shape estimation are carried through to the final mass reconstruction, and the mass within arbitrarily shaped apertures are calculated with corresponding uncertainties. The input is a galaxy ellipticity catalog with each measured galaxy shape treated as a noisy tracer of the reduced shear field, which is inferred on a fine pixel grid assuming positivity, and smoothness on scales of w arcsec where w is an input parameter. The ICF width w can be chosen by computing the evidence for it.
Credit: Marshall, P. J.; Hobson, M. P.; Gull, S. F.; Bridle, S. L.
Site: https://www.slac.stanford.edu/~pjm/lens ... index.html
http://adsabs.harvard.edu/abs/2002MNRAS.335.1037M
Bibcode: 2013ascl.soft08004M
ID: ascl:1308.004
LensEnt2: Maximum-entropy weak lens reconstruction
LensEnt2: Maximum-entropy weak lens reconstruction
Last edited by Ada Coda on Sun Aug 11, 2019 6:13 pm, edited 1 time in total.
Reason: Updated code entry.
Reason: Updated code entry.