A high time resolution search for gravitationally lensed fast radio bursts using the CHIME telescope
Bibliographic record
Abstract
The gravitational field of objects such as primordial black holes should create an image pair of the waveform of a fast radio burst (FRB), where one image is delayed in its arrival time and has a smaller flux magnification than the other image. We search for a copy of FRB waveforms in observations from the Canadian Hydrogen Mapping Intensity Experiment (CHIME) by performing a time-lag auto-correlation with a matched filter. A gravitational lensing signal in the time-lag domain will appear as a statistically significant excursion. We model the statistics and test statistical significance with the use of the off-pulse telescope data. Using the CHIME telescope, we search for a lensing signature using data from 142 FRB events at 1.25 ns resolution. This method allows us to search for gravitational lensing signatures from 0.01 to 100 solar mass objects. We find no significant detections of a gravitational lensing signature. However, we do find evidence for correlations induced from plasma lensing structure for a subset of bursts
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".