Investigating the Lower Mass Gap with Low Mass X-ray Binary Population Synthesis
Jared C. Siegel, Ilia Kiato, Vicky Kalogera, Christopher P. L. Berry,, Thomas J. Maccarone, Katelyn Breivik, Jeff J. Andrews, Simone S. Bavera,, Aaron Dotter, Tassos Fragos, Konstantinos Kovlakas, Devina Misra, Kyle A., Rocha, Philipp M. Srivastava, Meng Sun, Zepei Xing

TL;DR
This study uses population synthesis and binary evolution models to investigate the observed mass gap between neutron stars and black holes in low-mass X-ray binaries, highlighting observational biases and the need for additional physics.
Contribution
It demonstrates that selection biases influence the observed mass gap and explores the formation of mass-gap black holes through accretion-induced collapse, challenging current observations.
Findings
Selection biases can suppress observed mass-gap black holes.
A population of mass-gap BHs may form via accretion-induced collapse.
Models favor a maximum neutron star birth mass below 2 solar masses.
Abstract
Mass measurements from low-mass black hole X-ray binaries (LMXBs) and radio pulsars have been used to identify a gap between the most massive neutron stars (NSs) and the least massive black holes (BHs). BH mass measurements in LMXBs are typically only possible for transient systems: outburst periods enable detection via all-sky X-ray monitors, while quiescent periods enable radial-velocity measurements of the low-mass donor. We quantitatively study selection biases due to the requirement of transient behavior for BH mass measurements. Using rapid population synthesis simulations (COSMIC), detailed binary stellar-evolution models (MESA), and the disk instability model of transient behavior, we demonstrate that transient-LMXB selection effects introduce observational biases, and can suppress mass-gap BHs in the observed sample. However, we find a population of transient LMXBs with…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Astrophysical Phenomena and Observations · High-pressure geophysics and materials
