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[ascl:2103.018] GalacticDNSMass: Bayesian inference determination of mass distribution of Galactic double neutron stars

GalacticDNSMass performs Bayesian inference on Galactic double neutron stars (DNS) to investigate their mass distribution. Each DNS is comprised of two neutron stars (NS), a recycled NS and a non-recycled (slow) NS. It compares two hypotheses: A - recycled NS and non-recycled NS follow an identical mass distribution, and B - they are drawn from two distinct populations. Within each hypothesis it also explore three possible functional models: Gaussian, two-Gaussian (mixture model), and uniform mass distributions.

Code site:
https://github.com/nickfarrow/GalacticDNSMass
Described in:
https://ui.adsabs.harvard.edu/abs/2019ApJ...876...18F
Bibcode:
2021ascl.soft03018F

Views: 391

ascl:2103.018
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