The Perseus Arm Pulsar Survey
Bibliographic record
Abstract
The Perseus Arm Pulsar Survey covers the region of the sky enclosed by Galactic longitudes 200° < l < 260° and Galactic latitudes |b| < 5°. It has been designed to be the continuation towards longitudes further from the Galactic Centre of the very successful Parkes Multibeam Pulsar Survey (PMPS) with the aim of finding interesting individual pulsars for follow-up observations, and better understanding the radial distribution of the pulsar population in the outer Galaxy. As for the PMPS, the observations have been performed using the 21-cm multibeam receiver on the Parkes 64-m radio telescope, the only difference on the set-up being the sampling time, halved to 125 μs. A total of 913 pointings, each of duration 2100 s, were collected. The system provided a limiting flux density, for long-period pulsars with 5 per cent duty cycle, of ∼0.22 mJy. Data analysis resulted in the detection of 32 pulsars of which 14 were new discoveries. One of these, J0721−2038, has a period of 15.5 ms and is in a binary orbit with a period of 5.5 d around an intermediate-mass (>0.46 M⊙) companion. We present timing parameters, obtained with the Parkes and Lovell telescopes for all new pulsars and update the results of the pulsar population studies in light of the new discoveries. Our knowledge of the radial density function of pulsars continues to be dominated by uncertainties in the Galactic distribution of free electrons.
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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 | 0.002 |
| 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) | 0.008 | 0.005 |
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".