Crowding Mitigation

Crowding Mitigation is a methodological framework in astrometric survey design that systematically reduces positional and photometric uncertainties caused by overlapping point-spread functions in high stellar density regions through optimized observational strategies and data processing techniques.

20

Publications

455

Citations

58

Authors

25

Institutions

Publications per year

2017–2026

3

Authors

58

  1. JP
    Joan Petersilia

    Stanford University, United States

    2 publications · 42 citations

    2

    h-index

  2. JG
    Jessica Greenlick Snyder

    Stanford Medicine, United States

    2 publications · 42 citations

    2

    h-index

  3. TP
    Thomas Peisl

    Munich University of Applied Sciences, Germany

    1 publications · 13 citations

    1

    h-index

  4. PO
    P. Ochner

    Osservatorio Astronomico di Padova, Italy

    1 publications · 44 citations

    1

    h-index

  5. JS
    Jagpreet Sandhu

    Punjab Institute of Medical Sciences, India

    1 publications · 27 citations

    1

    h-index

1–5 of 58

Venues

  1. 2

    h-index

  2. California Journal of Politics and Policy

    2 publications · 42 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. The Angle Orthodontist

    1 publications · 27 citations

    1

    h-index

1–5