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[ascl:1407.008] Exopop: Exoplanet population inference

Exopop is a general hierarchical probabilistic framework for making justified inferences about the population of exoplanets. Written in python, it requires that the occurrence rate density be a smooth function of period and radius (employing a Gaussian process) and takes survey completeness and observational uncertainties into account. Exopop produces more accurate estimates of the whole population than standard procedures based on weighting by inverse detection efficiency.

Code site:
https://github.com/dfm/exopop
Described in:
https://ui.adsabs.harvard.edu/abs/2014ApJ...795...64F
Bibcode:
2014ascl.soft07008F

Views: 5164

ascl:1407.008
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