Detectability and Systematic Bias from First-Order Phase-Transition Dephasing in Kerr EMRIs
Jingxu Wu, Liangyu Luo, Junyi Zhang, Jiyun Yang, Haoxiang Ma, and Jie Shi

TL;DR
This paper investigates how a first-order phase transition in Kerr EMRIs affects gravitational-wave signals, revealing potential biases in parameter estimation despite small waveform mismatch.
Contribution
It models a phenomenological transition in the flux sector and quantifies its impact on LISA EMRI waveform detectability and inference accuracy.
Findings
Large accumulated phase difference (~5000 rad) from narrow transitions.
Small mismatch (~0.003) but significant dephasing impacts parameter inference.
Transition sectors can cause bias without significantly reducing detectability.
Abstract
We study gravitational-wave dephasing induced by an effective first-order phase transition in a Kerr extreme mass-ratio inspiral (EMRI). The transition is modeled phenomenologically as a finite-width restructuring of the dissipative flux sector, and its observational consequences are quantified with standard LISA matched-filter diagnostics. For a representative system with , , and , we obtain , , , and a mismatch after maximization over extrinsic time and phase shifts. Although the normalized mismatch remains small, the accumulated phase difference grows to , indicating that a narrow transition window can generate a large coherent deformation of the inspiral clock while leaving the…
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