New perspectives on Galactic Faraday tomography at low frequencies
Bibliographic record
Abstract
Talk given at "New Perspectives on Galactic Magnetism" conference, 11 June 2019. Abstract: The new generation of low-frequency (sub-GHz) radio telescopes, particularly LOFAR and MWA, have opened up the polarized sky in new and amazing ways. We now have the capability to explore low frequency polarization at high resolution, on large angular scales, and with large fields of view, all at the same time. In my talk I will review low-frequency Faraday tomography to date, and discuss how we can take advantage of the properties of polarization at low-frequencies to inform our analysis of the observations. In some cases, we can break the degeneracies that prevent us from modelling the magnetic field along the line of sight. There are several ongoing, planned, and possible surveys that will let us break open the low frequency polarized sky.
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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 | 0.000 |
| 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) | 0.339 | 0.006 |
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".