Parkes observations for project P1015 semester 2019APRS_01
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Pulsar scintillation, variation of the observed pulsar flux against time and frequency, contains the information of light path difference between scattered light. Observations of scintillation from many bright pulsars suggest that the scattering is not random, but instead due to highly anisotropic scattering at one more thin lenses along the line of sight. The distance from the lens to the Earth can remain the same for years, and in some cases, the lens produces discrete images of the source that last for a month. The simplicity of the scattered images, and the longevity of the lenses suggest that it may be possible to model the lens with a finite number of parameters, and make a predictive model for pulsar scintillation. We propose to observe the scintillation of the brightest pulsar, B0833-45, which shows evidence of discrete lensed images and highly anisotropic scattering, with the Parkes Ultra Wideband Receiver and the H-OH receiver. With these observations, we will test scintillation models, which make concrete predictions for the frequency evolution of the scintillation pattern. We will also use the polarization data to search for magnetic spatial structures across the lens, which have been theorized as a mechanism to create the lenses responsible for anisotropic scattering. Meanwhile, we will use the great sensitivity and resolution of this giant interstellar lens to constrain the emission region size of the Vela pulsar.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it