Numerical simulations of starbursts triggered by tidal disruption in clusters: searching for observational signatures
Bibliographic record
Abstract
ABSTRACT Tidal interactions are involved in the stellar stripping of galaxies, one of the main scenarios invoked to explain the origin of intracluster light (ICL), and fully compressive tides can also trigger starbursts in those same galaxies. Detecting traces of tidally induced starbursts within the ICL would thus provide strong support for the stellar stripping scenario. To investigate this, we performed 36 simulations of isolated and tidally disrupted galaxies. We find the contribution of starburst stars to the ICL to be negligible, these stars remaining instead in the centre of the galactic remnant following the tidal interaction. Starbursts are observed in 60 per cent of simulations with tides, typically occurring as the galaxy reaches pericentre. In cases involving strong tidal forces, galaxies with an internal ring experience its asymmetric collapse, leading to its fragmentation into multiple star-forming clumps. The subsequent merging of these clumps triggers a second starburst and produces a substantial population of counter-rotating stars, leaving a transient signature in the stellar tangential velocity distribution, observable as a secondary peak to the left of the primary peak. Most interestingly, starbursts leave a distinct chemical signature: remnants that experienced a starburst exhibit lower [O/Fe] values in their central regions (within a 0.5 kpc radius) compared to isolated galaxies of equal stellar mass, with a mean difference of 0.201 dex.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".