Scan Strategy Optimization

Scan Strategy Optimization is a methodological framework in observational cosmology that systematically determines the most efficient pointing sequences and coverage patterns for telescopes to maximize the accuracy and completeness of Cosmic Microwave Background measurements while minimizing systematic errors and observational biases.

69

Publications

3.8K

Citations

328

Authors

117

Institutions

Publications per year

2017–2026

36

Publications

69

1–5 of 69

Authors

328

  1. HY
    Ho Yeung

    National Institute of Standards and Technology, United States

    5 publications · 202 citations

    5

    h-index

  2. BL
    Brandon Lane

    National Institute of Standards and Technology, United States

    3 publications · 264 citations

    3

    h-index

  3. ZL
    Zixin Liu

    South China University of Technology, China

    2 publications · 36 citations

    2

    h-index

  4. DW
    Di Wang

    South China University of Technology, China

    2 publications · 36 citations

    2

    h-index

  5. PN
    Peeyush Nandwana

    Oak Ridge National Laboratory, United States

    2 publications · 92 citations

    2

    h-index

1–5 of 328

Venues

  1. Additive manufacturing

    5 publications · 1K citations

    5

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  2. Materials

    4 publications · 114 citations

    4

    h-index

  3. 4

    h-index

  4. 3

    h-index

  5. Medical Physics

    2 publications · 54 citations

    2

    h-index

1–5