FAst STatistics for weak Lensing (FASTLens): fast method for weak lensing statistics and map making

摘要: With increasingly large data sets, weak lensing measurements are able to measure cosmological parameters with ever-greater precision. However, this increased accuracy also places greater demands on the statistical tools used extract available information. To date, majority of analyses use two-point statistics cosmic shear field. These can be either studied directly using correlation function or in Fourier space, power spectrum. But analysing inevitably involves masking out regions, for example remove bright stars from Masking is common practice but gaps need proper handling. In paper, we show how an inpainting technique allows us properly fill these only NlogN operations, leading a new image which compute straightforwardly and very good both spectrum bispectrum. We then propose method bispectrum polar FIT algorithm, has main advantage avoiding any interpolation domain. Finally, dark matter mass map reconstruction observations, integrates concept. A range examples based 3D N-body simulations illustrates results.