PSF–NET: A Nonparametric Point-spread Function Model for Ground-based Optical Telescopes

Optical vortex coronagraphs on ground-based telescopes

The optical vortex coronagraph is potentially a remarkably effective device, at least for an ideal unobstructed telescope. Most groundbased telescopes however suffer from central obscuration and also have to operate through the aberrations of the turbulent atmosphere. This note analyzes the performance of the optical vortex in these circumstances and compares to some other designs, showing that...

New Generation Ground-Based Optical/Infrared Telescopes

Polarization Aberrations in Astronomical Telescopes: The Point Spread Function

Detailed knowledge of the image of the point spread function (PSF) is necessary to optimize astronomical coronagraph masks and to understand potential sources of errors in astrometric measurements. The PSF for astronomical telescopes and instruments depends not only on geometric aberrations and scalar wave diffraction but also on those wavefront errors introduced by the physical optics and the ...

Point spread function based image reconstruction in optical projection tomography.

As a result of the shallow depth of focus of the optical imaging system, the use of standard filtered back projection in optical projection tomography causes space-variant tangential blurring that increases with the distance to the rotation axis. We present a novel optical tomographic image reconstruction technique that incorporates the point spread function of the imaging lens in an iterative ...

NONPARAMETRIC ESTIMATION OF A POINT-SPREAD FUNCTION IN MULTIVARIATE PROBLEMS Short Title: Estimating a point-spread function

The removal of blur from a signal, in the presence of noise, is readily accomplished if the blur can be described in precise mathematical terms. However, there is growing interest in problems where the extent of blur is known only approximately, for example in terms of a blur function which depends on unknown parameters that must be computed from data. More challenging still is the case where n...