Spectroscopy of analogue black holes using simulation-based inference

TL;DR

This paper demonstrates that simulation-based inference can reliably extract physical parameters from noisy spectral data in analogue black hole experiments, advancing laboratory studies of black-hole physics.

Contribution

It introduces a novel application of simulation-based inference to analyze noisy spectral data in analogue gravity experiments, enabling parameter estimation under realistic conditions.

Findings

Simulation-based inference accurately recovers parameters from noisy spectra.

The method is effective for studying spacetime and boundary effects in gravity simulators.

Spectral signatures can reveal black-hole phenomenology in laboratory settings.

Abstract

The emergence of precision gravity simulators in quantum and fluid systems is opening new avenues for probing curved-spacetime physics and black-hole phenomenology under controlled laboratory conditions. In parallel, advances in understanding how fundamental physics can be probed in the spectral signatures of black holes and exotic compact objects motivate the development of modern spectroscopic techniques within analogue-gravity experiments. In this work, we model the spectral properties of analogue black holes sourced by broadband stochastic noise, a crucial aspect in realistic experiments that poses substantial challenges for established data-analysis techniques. Using simulation-based inference, we demonstrate that the physical parameters encoded in noisy spectra can be reliably extracted, showing that these techniques provide a powerful tool for studying both spacetime properties and boundary effects in gravity simulators.