Binary neutron star populations in the Milky Way
Cecilia Sgalletta, Giuliano Iorio, Michela Mapelli, M. Celeste Artale,, Lumen Boco, Debatri Chattopadhyay, Andrea Lapi, Andrea Possenti, Stefano, Rinaldi, Mario Spera

TL;DR
This study uses an advanced population synthesis model to analyze Galactic binary neutron stars, matching observed properties and predicting future detections by the Square Kilometre Array.
Contribution
It introduces a new version of the SEVN code with self-consistent pulsar spin modeling and applies a statistical method to compare simulated and observed BNS populations.
Findings
Merger rate of approximately 30 per million years in the Milky Way.
Radio selection effects are essential for matching observed orbital and spin properties.
Predicted detection of about 20 new BNSs by the Square Kilometre Array.
Abstract
Galactic binary neutron stars (BNSs) are a unique laboratory to probe the evolution of BNSs and their progenitors. Here, we use a new version of the population synthesis code SEVN to evolve the population of Galactic BNSs, by modeling the spin up and down of pulsars self-consistently. We analyze the merger rate , orbital period , eccentricity , spin period , and spin period derivative of the BNS population. Values of the common envelope parameter and an accurate model of the Milky Way star formation history best reproduce the BNS merger rate in our Galaxy ( Myr). We apply radio-selection effects to our simulated BNSs and compare them to the observed population. Using a Dirichlet process Gaussian mixture method, we evaluate the four-dimensional likelihood in the $(P_{\rm orb}, e, P,…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Geophysics and Gravity Measurements · Inertial Sensor and Navigation
