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Record W4413872951 · doi:10.1051/0004-6361/202453370

The interplay between active galactic nuclei and ram pressure stripping: spatially resolved gas-phase abundances of stripped and undisturbed galaxies

2025· article· en· W4413872951 on OpenAlexfundno aff
Giorgia Peluso, Benedetta Vulcani, M. Radovich, A. Moretti, Bianca M. Poggianti, P. J. S. Watson, Ayan Acharyya, Augusto E. Lassen, Marco Gullieuszik, J. Fritz, A. Ignesti, Neven Tomičić, I. Delvecchio, Amir H. Khoram

Bibliographic record

VenueAstronomy and Astrophysics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersLawrence Berkeley National LaboratorySmithsonian Astrophysical ObservatoryUniversity of Colorado BoulderOffice of ScienceMax-Planck-Institut für AstronomieMinistério da Ciência, Tecnologia e InovaçãoDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoDeutsche ForschungsgemeinschaftUniversity of OxfordYork UniversityLeibniz-GemeinschaftUniversity of Notre DameInstituto de Astrofísica de CanariasCarnegie Mellon UniversityUniversidad Nacional Autónoma de MéxicoAlfred P. Sloan FoundationUniversity of WashingtonJohns Hopkins UniversityCarnegie Institution of WashingtonUniversity of UtahOhio State UniversityU.S. Department of EnergySmithsonian InstitutionNew Mexico State UniversityUniversity of PortsmouthVanderbilt UniversityYale UniversityMax-Planck-Institut für AstrophysikEuropean Commission
KeywordsPhysicsAstrophysicsRam pressureGalaxyActive galactic nucleusStripping (fiber)Galactic nucleiAstronomyStar formation

Abstract

fetched live from OpenAlex

Context. It has been reported that the gas-phase oxygen abundance of the circumnuclear regions around supermassive black holes (SMBHs) could be affected by the presence of an active galactic nucleus (AGN). However, there is currently no agreement on the processes behind this effect. Some studies have measured higher metallicities in the nuclear regions of AGN hosts compared to those of star-forming (SF) galaxies, while others have observed the opposite result. Aims. In this work, we explore whether the interplay between AGN activity and the ram-pressure strippingprocesses of ram-pressure stripping (RPS) acting in the cluster environment could alter the metallicity distributions of nearby (z < 0.07) galaxies. Methods. We measured the spatially resolved gas-phase oxygen abundances of 10 AGN hosts experiencing RPS from the GASP survey and 52 AGN hosts located in the field (and, thus, undisturbed by RP) drawn from MaNGA DR15. To measure the oxygen abundances in SF and AGN-ionized regions, we present a set of strong emission line (SEL) calibrators obtained through an indirect method. Here, the [O III]/[S II] and [N II]/[S II] line ratios, observed and predicted from CLOUDY photoionization models, were matched using the NEBULABAYES code. Results. We find that the metallicity gradients of RPS and field AGN generally do not present significant differences within the errors. However, we also find that two two out of the ten ten RP-stripped AGNs display lower oxygen abundances at any given radius than the rest of the AGN sample. Overall, this result highlights the fact that the interplay between AGN and RPS does not seem to play a major role in shaping the metallicity distributions of stripped galaxies within 1.5 times the galaxy’s effective radius (r < 1.5Re); however,but that larger samples are needed to draw more robust conclusions. By adding a control sample of SF galaxies, both experiencing RPS and in the field, we find that the AGN hosts are more metal-enriched than SF galaxies at any given radius, but that the steepness of the gradients in the nuclear regions (r < 0.5Re) is higher in AGN hosts than in SF galaxies. In, particular, AGN hosts show a metal enrichment in the nuclear regions that is about 1.8–2.3 times higher than the enhancement in the disk at r ∼ 1.25Re, regardless of the host galaxy’s stellar mass. Conclusions. These results favor the hypothesis that AGN activity is the cause behind metal pollution in athe galaxy’s nuclear regions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.006
GPT teacher head0.242
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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