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Data selection and the determination of systematic uncertainties in thespectroscopic measurements of neutron star radii from thermonuclear X-raybursts have been the subject of numerous recent studies. In one approach, theuncertainties and outliers were determined by a data-driven Bayesian mixturemodel, whereas in a second approach, data selection was performed by requiringthat the observations follow theoretical expectations. We show here that, dueto inherent limitations in the data, the theoretically expected trends are notdiscernible in the majority of X-ray bursts even if they are present.Therefore, the proposed theoretical selection criteria are not practical withthe current data for distinguishing clean data sets from outliers. Furthermore,when the data limitations are not taken into account, the theoreticallymotivated approach selects a small subset of bursts with properties that are infact inconsistent with the underlying assumptions of the method. We concludethat the data-driven selection methods do not suffer from the limitations ofthis theoretically motivated one.

Data Selection Criteria for Spectroscopic Measurements of Neutron Star Radii with X-ray Bursts