Shapelets: I. A Method for Image Analysis

dc.creatorRefregier, Alexandre
dc.date2001-05-10
dc.date.accessioned2026-07-07T10:47:19Z
dc.date.available2026-07-07T10:47:19Z
dc.descriptionWe present a new method for the analysis of images, a fundamental task in observational astronomy. It is based on the linear decomposition of each object in the image into a series of localised basis functions of different shapes, which we call `Shapelets'. A particularly useful set of complete and orthonormal shapelets is that consisting of weighted Hermite polynomials, which correspond to perturbations around a circular gaussian. They are also the eigenstates of the 2-dimensional Quantum Harmonic Oscillator, and thus allow us to use the powerful formalism developed for this problem. Among their remarkable properties, they are invariant under Fourier transforms (up to a rescaling), leading to an analytic form for convolutions. The generator of linear transformations such as translations, rotations, shears and dilatations can be written as simple combinations of raising and lowering operators. We derive analytic expressions for practical quantities, such as the centroid (astrometry), flux (photometry) and radius of the object, in terms of its shapelet coefficients. We also construct polar basis functions which are eigenstates of the angular momentum operator, and thus have simple properties under rotations. As an example, we apply the method to Hubble Space Telescope images, and show that the small number of shapelet coefficients required to represent galaxy images lead to compression factors of about 40 to 90. We discuss applications of shapelets for the archival of large photometric surveys, for weak and strong gravitational lensing and for image deprojection.
dc.description13 Latex pages, including 10 figures and 2 tables. Submitted to MNRAS. Also available at http://www.ast.cam.ac.uk/~ar/
dc.identifierhttps://arxiv.org/abs/astro-ph/0105178
dc.identifierhttp://arxiv.org/abs/astro-ph/0105178
dc.identifierMon.Not.Roy.Astron.Soc.338:35,2003
dc.identifierdoi:10.1046/j.1365-8711.2003.05901.x
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/183494
dc.subjectAstrophysics
dc.titleShapelets: I. A Method for Image Analysis
dc.typetext

Files

Collections