Spectro-Temporal-Polarimetric Study of FRBs with SPOTLIGHT
Bibliographic record
Abstract
The SPOTLIGHT project, a commensal survey for FRBs and pulsars at the GMRT, utilises high-performance computing and AI for simultaneous time-domain detection and arc-second image-domain localisation of FRBs across 300 to 1460 MHz.Studying the high-resolution spectrotemporal-polarimetric properties of these bursts will help differentiate between proposed emission mechanisms and progenitor models.To support this, we are developing BurFi, an automated pipeline for processing SPOTLIGHT's beamformed and baseband data.BurFi will efficiently estimate key parameters such as burst widths, peak emission frequencies, emission bandwidths, frequency drift rates, scattering timescales, and polarisation properties, offering both rapid online parameter estimation and detailed offline analysis of highresolution data.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".