Characterizing Compact-object Binaries in the Lower Mass Gap with Gravitational Waves
Jessica Cotturone, Michael Zevin, Sylvia Biscoveanu

TL;DR
This study investigates the difficulty in identifying whether a low-mass gap object in gravitational-wave data is a neutron star or black hole, emphasizing the importance of signal-to-noise ratio and waveform modeling in such determinations.
Contribution
The paper demonstrates that low SNR and waveform model choices cause degeneracies in classifying mass-gap objects, highlighting the need for higher SNR observations for definitive identification.
Findings
Low SNR leads to ambiguity in mass-gap object classification.
Priors significantly influence posterior distributions in low-SNR events.
Higher SNR (~30) improves mass measurement precision for such systems.
Abstract
The source binary of the gravitational-wave (GW) event GW230529, detected at the beginning of the fourth LIGO-Virgo-KAGRA observing run, was inferred to consist of a NS and a compact object in the lower mass gap, a purported gap between the most massive NSs () and least massive black holes (BHs; ) based on compact-object observations in the Milky Way. While the nature of the mass-gap object could not be determined from the GW data alone for this event, definitively distinguishing whether this object is a NS or BH would have profound implications for the NS equation of state, supernova physics, and multimessenger astronomy. In this work, we perform parameter estimation on a suite of simulated GW systems with parameters similar to those of the GW230529 source binary to investigate whether the ambiguity in the physical nature of the source is a generic…
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