Probing the distant galaxy cluster JKCS 041 on the L − T − M scaling relations
Bibliographic record
Abstract
The detailed X-ray analysis of the distant galaxy cluster JKCS 041 is presented. We use deep (~75 ks) archived data of X-ray Chandra Observatory to extract the main physical characteristic for one of the most distant galaxy cluster known to date. We investigate the imaging and spectral properties of JKCS 041. We explore its surface brightness, density, entropy, cooling time, and mass profiles. The temperature of JKCS 041 is equal to 7.4 ± 2.9 keV while the total virial mass is M200 = (4.6 ± 2.9) × 1014MSun. The gas fraction is ~10% while the dark matter is ~90% at R200. We use the obtained physical parameters of JKCS 041 to build numerous X-ray scaling relations. By adding JKCS 041 parameters we increase the redshift of our previous cluster’s sample from 1.4 to 1.8. We study the three classical relations between temperature, luminosity and total mass, and two additional. We find the concentration parameter of JKCS 041, build c − M relation and compare them with current hydrodynamic simulations. In addition, we explore, for the first time in the case of distant objects, the M − Y = T · Mg relation which is one of the most robust mass estimators. We conclude that concentration parameter, c, of JKCS 041 is in a good agreement with theoretical predictions. The obtained X-ray scaling relations were used to probe their evolution. We find that our results show inconsistent with self-similar evolution models.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".