Bibliographic record
Abstract
Many types of astronomical objects are detectable through the radio waves that they produce. The observed properties of sources in the 'radio sky' can vary on a wide range of timescales, both for intrinsic and extrinsic reasons. Transients are those sources whose observed properties change drastically within a timescale that a human astronomer can measure. Traditionally, the qualifier 'fast' refers to transients whose emission properties change significantly over less than a second, and most commonly on millisecond timescales. The two classes of fast radio transients studied in this thesis are pulsars and fast radio bursts. We are motivated to study these sources because they probe extreme astrophysical environments as well as the intervening magnetised and ionised medium between observer and source. Furthermore, the origin of the relatively recently discovered fast radio bursts remains enigmatic, though the properties of these signals share traits of pulsar emission. Thus, we aim to better understand the physical nature of fast radio bursts and their possible link to pulsar emission. We discuss the characteristics of these source classes and outline some of the outstanding scientific questions we can address through observations with a radio telescope and other complementary, multi-wavelength information.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".