2026/02/24 by Nicholas Rowell, N. Rowell, M. Davidson +13 · 1 voice
Engineering · Physics and Astronomy · #Astrometry #Astronomy and Astrophysical Research #CCD and CMOS Imaging Sensors #Degeneracy (biology) #Detector #Optical transfer function #Point spread function #Position (finance) #Range (aeronautics) #Stars #Stellar, planetary, and galactic studies #Telescope #astro-ph.IM
paper · pdf · doi:10.1051/0004-6361/202558618
openalex created_date 2026/03/01 · openalex publication_date 2026/03/16 · openalex updated_date 2026/08/01
Context . An accurate model of the point spread function (PSF) is required in order to estimate positions and brightnesses of stars in digitised images. The PSF of the Gaia space telescope is unusual due to the use of drift-scan mode and time-delayed integration (TDI), in which the satellite spins and precesses while images are captured. This induces several systematic and periodic distortions in the PSF that are unique to Gaia . Aims . We identify several effects that distort Gaia ’s PSF. These include systematic variations in the stellar image drift rate with respect to the charge transfer rate, and spatial variations in the detector response that are, contrary to expectations, not marginalised by the use of TDI mode. These must be incorporated into the PSF model in order to reduce systematic errors in Gaia ’s data products. Methods . We developed a semi-analytic model of the PSF, in which the blurring effects of along- and across-scan stellar image motion are modelled analytically, and dependences of the PSF shape on source colour and position within the detector are calibrated empirically. We introduced constraints on the PSF origin in order to break a degeneracy with the geometric instrument calibration. Results . Our PSF model successfully reproduces several drift-scan-related effects and leads to significant improvements in the modelling of observations, particularly around the 11-13 magnitude range in Gaia ’s G band. This will contribute to reductions in the astrometric and photometric uncertainties in the derived data products. Conclusions . Our PSF model represents a significant advance over earlier models applied to Gaia data. It was deployed in the Gaia cyclic data processing systems and used in the production of the forthcoming Data Release 4. The linear part of Gaia ’s PSF is now well understood. Future development work will focus on optimised configuration of the model, and the handling of several non-linear effects that depend on the signal level, including charge transfer inefficiency and the brighter-fatter effect. This work provides a useful reference for users of Gaia data and for other missions that use the same observing principles, in particular the proposed GaiaNIR mission.