Population synthesis of Galactic pulsars with machine learning

TL;DR

This thesis combines population synthesis of Galactic neutron stars with deep learning to better understand their birth properties, evolution, and the nature of long-period radio sources, providing new insights into pulsar magneto-rotational dynamics.

Contribution

It introduces a novel framework integrating deep learning with population synthesis to infer neutron star birth properties and evolution, including magnetic field decay and long-period radio sources.

Findings

Deep neural networks can infer neutron star birth properties.

Constrained the late-time magnetic field evolution of neutron stars.

Explored scenarios for long-period radio sources as neutron stars or white dwarfs.

Abstract

This thesis work represents the first efforts to combine population synthesis studies of the Galactic isolated neutron stars with deep-learning techniques with the aim of better understanding neutron-star birth properties and evolution. In particular, we develop a flexible population-synthesis framework to model the dynamical and magneto-rotational evolution of neutron stars, their emission in radio and their detection with radio telescopes. We first study the feasibility of using deep neural networks to infer the dynamical properties at birth and then explore a simulation-based inference approach to predict the birth magnetic-field and spin-period distributions and the late-time magnetic-field decay for the observed radio pulsar population. Our results for the birth magneto-rotational properties agree with the findings of previous works while we constrain the late-time evolution of the magnetic field in neutron stars for the first time. Moreover, this thesis also studies possible scenarios to explain the puzzling nature of recently discovered periodic radio sources with very long periods of the order of thousands of seconds. In particular, by assuming a neutron-star origin, we study the spin-period evolution of a newborn neutron star interacting with a supernova fallback disk and find that the combination of strong, magnetar-like magnetic fields and moderate accretion rates can lead to very large spin periods on timescales of ten thousands of years. Moreover, we perform population synthesis studies to assess the possibility for these sources to be either neutron stars or magnetic white dwarfs emitting coherently through magnetic dipolar losses. These discoveries have opened up a new perspective on the neutron-star population and have started to question our current understanding of how coherent radio emission is produced in pulsar magnetospheres.