Black Hole Tomography: Unveiling Black Hole Ringdown via Gravitational Wave Observations
Bibliographic record
Abstract
During the post-merger regime of a binary black hole merger, the gravitational wave signal consists of a superposition of quasi-normal modes (QNMs) of the remnant black hole. It has been observed empirically, primarily through numerical simulations and heuristic arguments, that the infalling radiation at the horizon is also composed of a superposition of QNMs. In this paper, we provide an analytic explanation for this observation in the perturbative regime. Our analysis is based on a characteristic initial value formulation where data is prescribed on the horizon (modeled as a perturbed isolated horizon), and on a transversal null-hypersurface which registers the outgoing radiation. This allows us to reformulate the traditional QNM problem in a fully 4-dimensional setting. Using a mode-decomposition, we demonstrate that the radiation modes crossing $\mathcal{H}$ are highly correlated with the outgoing modes crossing $\mathcal{I}$, and provide explicit expressions linking $\widetildeΨ_0$ at the horizon with $\widetildeΨ_4$ at null infinity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".