Molecular absorption in variable brightest cluster galaxies
Bibliographic record
Abstract
Supermassive black holes devour immense quantities of mass from their surroundings, and in doing so have a profound effect upon the galaxy they reside in. Most of the mass they consume is thought to be in the form of cold molecular gas clouds, but the ways in which these form and migrate to the supermassive black hole are still uncertain. This thesis aims to reveal the properties of molecular clouds in the cores of the Universe’s most massive galaxies through observations - determining their typical mass, temperature, kinematics, and the manner in which they find their way into the galaxies. This is achieved by a new observing technique which takes advantage of the bright and compact active galactic nucleus which encompasses the central supermassive black hole of many large galaxies. As molecular clouds pass in front of this region, they cast shadows. These shadows are signatures of the clouds' properties and make it possible to study them, often individually. These studies are also linked to the variability of active galactic nuclei, which is directly dependant on supermassive black hole accretion.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.101 | 0.000 |
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 teacher head, 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".