The formation channels of binary neutron stars (BNSs) remain uncertain. The detection of GW190425 by LIGO/Virgo/KAGRA (LVK) suggests a subpopulation of massive BNSs, possibly formed through unstable "case BB" mass transfer with short merger delays. We investigate whether next-generation detectors such as the Einstein Telescope (ET) can identify and characterise such subpopulations. Using the latest LVK constraints on the BNS merger rate, we generate mock ET catalogues containing a mixture of light and heavy subpopulations. The redshift distribution of each subpopulation is modeled as the convolution of the cosmic star formation rate with a time-delay distribution: heavy BNSs have fixed short delays, while light BNSs follow power-law delays with indices -0.5,-1,-1.5. Hierarchical Bayesian analyses are then performed on catalogues of 100-5,000 events. With hundreds of detections from ET, we will be able to establish that the total mass distribution is bimodal. A few thousand events are sufficient to disentangle the redshift distributions of the two subpopulations for moderate time-delay indices (-0.5 or -1). For steeper indices (-1.5), the differences are more subtle, requiring larger catalogues, beyond what we could explore given our computational resources. Next-generation detectors should enable the detection of multiple BNS subpopulations and their redshift evolution, providing valuable insight into their formation pathways.
@article{arxiv.2512.02296,
title = {Observing binary neutron star subpopulations with the Einstein Telescope},
author = {Alexandre Toubiana and Irina Dvorkin},
journal= {arXiv preprint arXiv:2512.02296},
year = {2025}
}