Galactic Double Neutron Star total masses and Gaussian mixture model selection

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dc.contributor.author Keitel, David
dc.date.accessioned 2020-10-29T09:56:41Z
dc.identifier.uri http://hdl.handle.net/11201/153988
dc.description.abstract [eng] Huang et al. (2018) have analysed the population of 15 known Galactic double neutron stars (DNSs) regarding the total masses of these systems. They suggest the existence of two subpopulations, and report likelihood-based preference for a two-component Gaussian mixture model over a single-Gaussian distribution. This note offers a cautionary perspective on model selection for this data set: especially for such a small sample size, a pure likelihood ratio test can encourage overfitting. This can be avoided by penalizing models with a higher number of free parameters. Re-examining the DNS total mass data set within the class of Gaussian mixture models, this can be achieved through several simple and well-established statistical tests, including information criteria (AICc, BIC), cross-validation, Bayesian evidence ratios, and a penalized EM-test. While this reanalysis confirms the basic finding that a two-component mixture is consistent with the data, the model selection criteria consistently indicate that there is no robust preference for it over a single-component fit. Additional DNS discoveries will be needed to settle the question of subpopulations.
dc.format application/pdf
dc.relation.isformatof Reproducció del document publicat a: https://doi.org/10.1093/mnras/stz358
dc.relation.ispartof Monthly Notices of the Royal Astronomical Society, 2019, vol. 485, num. 2, p. 1665-1674
dc.rights (c) Keitel, David , 2019
dc.subject.classification 53 - Física
dc.subject.other 53 - Physics
dc.title Galactic Double Neutron Star total masses and Gaussian mixture model selection
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/publishedVersion
dc.date.updated 2020-10-29T09:56:41Z
dc.date.embargoEndDate info:eu-repo/date/embargoEnd/2026-12-31
dc.embargo 2026-12-31
dc.rights.accessRights info:eu-repo/semantics/embargoedAccess
dc.identifier.doi https://doi.org/10.1093/mnras/stz358


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