Quantum black hole spectroscopy: probing the quantum nature of the black hole area using LIGO-Virgo ringdown detections

TL;DR

This paper investigates the quantum black hole area quantization model using LIGO-Virgo gravitational wave data, finding current observations insufficient to confirm or refute the model but demonstrating potential for future detections.

Contribution

The study applies a Bayesian analysis to gravitational wave data to test the quantized black hole area model, providing a framework for future falsification with simulated data.

Findings

Current GW data cannot constrain the quantization parameter α.

Combined analysis of multiple events yields α = 15.6^{+20.5}_{-13.3}.

Future detections could definitively test the quantized black hole model.

Abstract

We present a thorough observational investigation of the heuristic quantised ringdown model presented in Foit & Kleban (2019). This model is based on the Bekenstein-Mukhanov conjecture, stating that the area of a black hole horizon is an integer multiple of the Planck area $l_P^2$ multiplied by a phenomenological constant, $\alpha$, which can be viewed as an additional black hole intrinsic parameter. Our approach is based on a time-domain analysis of the gravitational wave signals produced by the ringdown phase of binary black hole mergers detected by the LIGO and Virgo collaboration. Employing a full Bayesian formalism and taking into account the complete correlation structure among the black hole parameters, we show that the value of $\alpha$ cannot be constrained using only GW150914, in contrast to what was suggested in Foit & Kleban (2019). We proceed to repeat the same analysis on the new gravitational wave events detected by the LIGO and Virgo Collaboration up to 1 October 2019, obtaining a combined-event measure equal to $\alpha = 15.6^{+20.5}_{-13.3}$ and a combined log odds ratio of $0.1 \pm 0.6$, implying that current data are not informative enough to favour or discard this model against general relativity. We then show that using a population of $\mathcal{O}(20)$ GW150914-like simulated events - detected by the current infrastructure of ground-based detectors at their design sensitivity - it is possible to confidently falsify the quantised model or prove its validity, in which case probing $\alpha$ at the few % level. Finally we classify the stealth biases that may show up in a population study.