Likelihood centroiding of CCD point spread functions

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

Traditionally, least squares has been used for fitting point spread functions (PSFs) to observed CCD data. However, and particularly at low signal levels, the ability of CCDs to count individual photons and the CCD readout noise conspire to produce a likelihood function that may differ significantly from the standard least-squares likelihood. This suggests that modelling the likelihood function directly may result in improved centroiding. In this paper I report on some preliminary investigations relevant to the FAME project on likelihood fitting of PSFs.

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