First Detection of Sub-Second Temporal Periodicities in Fast Radio Bursts: Advanced Signal Processing Reveals Systematic Structure in CHIME Data
Bibliographic record
Abstract
This project presents the final submitted version of a peer-reviewed manuscript analyzing Fast Radio Burst (FRB) data from the Canadian Hydrogen Intensity Mapping Experiment (CHIME) for the period 2018–2019. The study applies a tri-phase decomposition approach across 50 individual FRBs to investigate the presence of stable temporal periodicities and harmonic structures. Using a combination of Hilbert transforms, FFTs, wavelet analyses, and statistical bootstrapping, the results reveal a class of bursts with persistent multi-peak structures and significant coherence across time-frequency domains. Appendix A includes detailed figure panels for each FRB analyzed, and a population-level statistical summary is provided at the end of the document. The study emphasizes methodological rigor and falsifiability, with all detections statistically validated against null controls and randomized benchmarks. A full Colab notebook with raw data extraction and processing code is available upon request.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.063 | 0.005 |
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; both teacher heads agree on what is shown here.
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".