Selection Function Modeling
Selection Function Modeling is a methodological framework in astrometric survey design that characterizes the observational biases and detection efficiencies of a survey by formally specifying the probability of selecting celestial sources based on their astrophysical and instrumental parameters.
26
Publications
1.4K
Citations
130
Authors
106
Institutions
Publications per year
2017–2026
12
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26
ON GALACTIC DENSITY MODELING IN THE PRESENCE OF DUST EXTINCTION
Jo Bovy, Hans‐Walter Rix, Gregory Green et al. · The Astrophysical Journal · 2016 · 266 citations · Full text
Natural Sciences, Astronomy, Physics +16
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106

Fermi National Accelerator Laboratory
Batavia, United States
5 h-index
25 publications
3.5K citations
Center for Astrophysics Harvard & Smithsonian
Cambridge, United States
5 h-index
6 publications
939 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
5 publications
362 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
4 publications
386 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
6 publications
299 citations
Max Planck Institute for Astronomy
Heidelberg, Germany
4 h-index
13 publications
1.1K citations
Flatiron Health (United States)
New York, United States
3 h-index
4 publications
292 citations

Monash University
Melbourne, Australia
3 h-index
3 publications
142 citations
1–8 of 106
ApJ · 6 publications · 540 citations
6
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5 publications · 144 citations
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4 publications · 151 citations
3
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2 publications · 58 citations
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RAA · 1 publications · 36 citations
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