<i>XMM-NEWTON</i>VIEW OF THE MULTIPHASE WARM ABSORBER IN SEYFERT 1 GALAXY NGC 985
Bibliographic record
Abstract
We present an analysis of a new XMM-Newton observation of the Seyfert 1 galaxy NGC 985.The European Photon Imaging Camera (EPIC) spectra present strong residuals to a single power-law model, indicating the presence of ionized absorbing gas and a soft excess.A broadband fit to the EPIC and RGS spectra shows that the continuum can be well fitted with a power law (Γ ≈ 1.57) and a blackbody component (kT ≈ 0.09 keV).The RGS can be modeled either with two or three absorption components.In the two absorber model the low-ionization one, with log U ≈ .05 and log N H ≈ 21.08, accounts for the presence of the Fe M-shell unresolved transition array (Fe vii-xiii), and the high-ionization component (log U ≈ 1.31 and log N H ≈ 21.99) is required by the presence of several Fe L-shell transitions.The data suggest the presence of a third ionized component with higher ionization, so that the Fe L-shell absorption features are produced by two different components (one producing absorption by Fe xvii-xx, and the other absorption by Fe xx-xxii).However, the presence of the third absorbing component cannot be detected by means of an isolated absorption line in a significant way, so we consider this detection only as tentative.Interestingly, all ionization components have similar kinematics (with outflow velocities ∼ 280 km s -1 ).In addition, whether two or three absorbers are considered, the components appear to be in pressure balance within 1σ .These results give further support to the idea that warm absorbers in active galactic nuclei consist of a two-or three-phase medium.We note that, while in the model with only two absorbers one of them (the high-ionization component) lies on an unstable branch of the thermal equilibrium curve, in the model with three absorbers all of the components lie on stable branches of the curve.This gives further plausibility to a multiphase absorber.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.003 | 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 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".