Spectroscopic Reduction

Spectroscopic Reduction is a data reduction method that belongs to the class of analytical techniques designed to extract and condense spectral information from spectroscopic datasets by identifying and isolating relevant wavelength-dependent features, thereby distinguishing it from other data reduction approaches through its specific focus on the transformation and simplification of electromagnetic spectral data for interpretative efficiency.

112

Publications

9.4K

Citations

1.2K

Authors

393

Institutions

Publications per year

2017–2026

32

Publications

112

1–5 of 112

Authors

1.2K

  1. VW
    Vivienne Wild

    University of St Andrews, United Kingdom

    5 publications · 1.8K citations

    5

    h-index

  2. DJ
    David J. Schlegel

    Lawrence Berkeley National Laboratory, United States

    5 publications · 2.1K citations

    5

    h-index

  3. JA
    Jeffrey A. Newman

    University of Pittsburgh, United States

    5 publications · 2.1K citations

    5

    h-index

  4. DL
    Dustin Lang

    University of Toronto, Canada

    4 publications · 1.7K citations

    4

    h-index

  5. AF
    Andreu Font-Ribera

    Lawrence Berkeley National Laboratory, United States

    4 publications · 1.7K citations

    4

    h-index

1–5 of 1.2K

Venues

  1. 8

    h-index

  2. Physical Review Letters

    PRL · 5 publications · 330 citations

    5

    h-index

  3. Astronomy and Astrophysics

    5 publications · 440 citations

    5

    h-index

  4. Publications of the Astronomical Society of the Pacific

    PASP · 5 publications · 1.1K citations

    5

    h-index

  5. The Astrophysical Journal Supplement Series

    4 publications · 1.8K citations

    4

    h-index

1–5