• DocumentCode
    2395306
  • Title

    The effect of grid density on EPSF mode´s accuracy

  • Author

    Zhang, Qingfeng ; Meng, Xiaohua ; Li, Zhan ; Peng, Qingyu

  • Author_Institution
    Dept. Comput. Sci., Jinan Univ., Guangzhou, China
  • fYear
    2012
  • fDate
    19-20 May 2012
  • Firstpage
    1998
  • Lastpage
    2002
  • Abstract
    Effective point-spread function (ePSF) method is an excellent method for the stars´ positional measurements in stellar images, whose critical step is constructing an accurate ePSF mode. In the study, we investigated the effect of the grid density on the mode´s accuracy by some experiments on processing synthetic stellar images in which all stars have a Gaussian PSF. Our experimental results show that the grid density significantly affects the mode´s accuracy. On the one hand, for a given full width at half maximum (FWHM) of the Gaussian PSF in one image, the finer gird leads the smaller error; on the other hand, for a given grid density, the larger FWHM brings a smaller error. Finally, a data table listed the maximum errors of the modes on different grid densities and FWHMs, from which the error level corresponding to some grid density can be looked up. The data table will benefit the application of the ePSF method in practice.
  • Keywords
    Gaussian processes; astronomical image processing; optical transfer function; EPSF mode accuracy; FWHM; Gaussian PSF; ePSF method; effective point-spread function; full width at half maximum method; grid density effect; star positional measuremen; stellar image; Accuracy; Arrays; Density measurement; Educational institutions; Measurement uncertainty; Position measurement; Shape; PSF mode; effective point-spread function; full width at half maximum; grid density; positional measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2012 International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4673-0198-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2012.6223442
  • Filename
    6223442