Point Spread Function Fitting

Point Spread Function Fitting is a computational method in differential astrometry that models the spatial distribution of light from a point source by matching an empirical or theoretical point spread function to observed image data to precisely determine the source's position and photometric properties.

132

Publications

12.4K

Citations

755

Authors

325

Institutions

Publications per year

2017–2026

30

Authors

755

  1. KA
    Katherine A. Willets

    Temple University, United States

    4 publications · 378 citations

    4

    h-index

  2. MJ
    Mike Jarvis

    University of Pennsylvania, United States

    4 publications · 176 citations

    4

    h-index

  3. SK
    S. Kent

    Fermi National Accelerator Laboratory, United States

    3 publications · 1.3K citations

    3

    h-index

  4. JF
    J. Frieman

    Fermi National Accelerator Laboratory, United States

    3 publications · 162 citations

    3

    h-index

  5. SA
    S. Allam

    Fermi National Accelerator Laboratory, United States

    3 publications · 1.3K citations

    3

    h-index

1–5 of 755

Venues

  1. The Astrophysical Journal

    ApJ · 14 publications · 538 citations

    13

    h-index

  2. Monthly Notices of the Royal Astronomical Society

    13 publications · 1.2K citations

    12

    h-index

  3. The Astronomical Journal

    AJ · 14 publications · 1.5K citations

    12

    h-index

  4. Astronomy and Astrophysics

    12 publications · 530 citations

    11

    h-index

  5. 7

    h-index

1–5