The MURALES survey
Bibliographic record
Abstract
This paper is the seventh work in the MUse RAdio Loud Emission lines Snapshot (MURALES) project series, presenting the results of observations obtained with the VLT/MUSE integral field spectrograph of 3C radio sources. Here, we discuss the optical spectral properties of the nuclei of 26 objects with 0.3 < z < 0.82 (median redshift 0.51). At these redshifts, the Hα and [N II] emission lines are not covered by optical spectra and alternative diagnostic diagrams are needed to separate the different spectroscopic sub-classes. We derived a robust spectroscopic classification into high and low-excitation galaxies (HEGs and LEGs) by only using the ratios of emission lines in the rest-frame UV and the blue portion of the spectra. A key result of this study is that FR II LEGs are also found at the highest level of radio power (up to L178 MHz ∼ 2 × 1035 erg s−1 Hz−1), placing them among the most luminous radio sources in the Universe. Furthermore, their fraction within the FR II RG population does not strongly depend on radio luminosity. This suggests that the jet properties in powerful FR II radio sources do not depend on the accretion mode or on the structure of the accretion disk – as would otherwise be expected if the jet launching process were due to the extraction of the rotational energy of the supermassive black hole. The alternative possibility of recurrent transitions between a LEG and a HEG phase is disfavored based on the variation timescales of the various active galactic nucleus (AGN) components.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.012 |
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".