Bibliographic record
Abstract
Some critical components of the universe are difficult to observe in emission. One way to study them is through their interaction with light from background sources. When studying the propagation effects of a background source, one major challenge is the degeneracy introduced by the source behavior. Sources with simple known properties, such as the cosmic microwave background (CMB), or point-like and coherent sources, such as pulsars and fast radio bursts (FRBs), are optimal. In this thesis, I focus on the studies related to these sources. I analyze the possibility of distinguishing kinematic Sunyaev-Zel'dovich (kSZ) distortions on CMB as a way to measure diffuse baryon distribution. By cross-correlating kSZ distortion with density fluctuations from 21 cm intensity mapping, a > 20σ detection with existing facilities is forecasted. Separately, I have proposed a new method to study small-scale magnetic structures via plasma lensing, which is applied to study the magneto-environment in the interface between a pulsar B1957+20 and its companion's wind. A new constraint of σB < 10 mG is set for themagnetic spatial structures in the interface, which poses challenges in explaining the observed eclipse of pulsar light. Furthermore, I have discovered the first case of periodic activity from an FRB source, which is a critical step to understand the nature of the FRB progenitor.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".