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A Preliminary Comparative Study on the Centering Algorithms for CassiniISS NAC images

Research in Astronomy and Astrophysics 2024年第10期24卷 60-67页

作者： T.Liang Q.-F.Zhang G.-M.Liu W.-H.Zhu C.-S.Wang Department of Computer science Jinan University Sino-French Joint Laboratory for Astrometry Dynamics and Space ScienceJinan University School of Computer science Guangdong University of Education

Obtaining high precision is an important consideration for astrometric studies using images from the Narrow Angle Camera (NAC) of the Cassini Imaging science subsystem (ISS). Selecting the best centering algorithm is key to enhancing astrometric accuracy. In this study, we compared the accuracy of five centering algorithms:Gaussian fitting, the modified moments method, and three point-spread function (PSF) fitting methods (effective PSF (ePSF),PSFEx, and extended PSF (x PSF) from the Cassini Imaging Central Laboratory for Operations (CICLOPS)). We assessed these algorithms using 70 ISS NAC star field images taken with CL1 and CL2 filters across different stellar magnitudes. The ePSF method consistently demonstrated the highest accuracy, achieving precision below0.03 pixels for stars of magnitude 8–9. Compared to the previously considered best, the modified moments method,the e PSF method improved overall accuracy by about 10%and 21%in the sample and line directions, ***, the xPSF model provided by CICLOPS had lower precision than the ePSF. Conversely, the ePSF exhibits an improvement in measurement precision of 23%and 17%in the sample and line directions, respectively,over the x PSF. This discrepancy might be attributed to the x PSF focusing on photometry rather than *** findings highlight the necessity of constructing PSF models specifically tailored for astrometric purposes in NAC images and provide guidance for enhancing astrometric measurements using these ISS NAC images.

关键词： methods: analytical techniques: image processing stars: imaging astrometry science subsystem images IMAGING science ASTROMETRY SATELLITES

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