Gravitational-wave data analysis overview of compact binary searches using waveforms inspired by numerical relativity
Bibliographic record
Abstract
Binary black holes with total masses between ~20 and 200 M_⊙ require numerical relativity to describe the detectable signal in ground-based, gravitational-wave detectors. The time–frequency properties of the signals suggest that both modeled, matched filter searches and unmodeled, burst searches can expect to detect high mass binary signals. This paper presents a comparison of a matched filter pipeline and two unmodeled burst pipelines on the inspiral, merger and ring-down phases of compact binary coalescence by evaluating the sensitivity to binaries with total masses between 25 and 100 M_⊙ at a fixed false alarm rate. All three algorithms provided an average range of ~250 Mpc for a 50,50 M_⊙ binary at 10^(−7) Hz false alarm rate.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".