Non-parametric Morphologies of Mergers in the Illustris Simulation
Lucas A. Bignone, Patricia B. Tissera, Emanuel Sillero, Susana E., Pedrosa, Leonardo J. Pellizza, Diego G. Lambas

TL;DR
This study uses the Illustris simulation to evaluate non-parametric morphological indicators of galaxy mergers, validating their effectiveness in recovering true merger rates and timescales in a cosmological context.
Contribution
It assesses the empirical non-parametric merger criteria within a cosmological simulation, providing calibration for observational merger rate estimates.
Findings
98% of galaxies above the demarcation line have recent or ongoing mergers.
G-M20 indicators are most sensitive to recent mergers (~0.14 Gyr).
Merger observability timescale is approximately 0.2 Gyr.
Abstract
We study non-parametric morphologies of mergers events in a cosmological context, using the Illustris project. We produce mock g-band images comparable to observational surveys from the publicly available Illustris simulation idealized mock images at . We then measure non parametric indicators: asymmetry, Gini, , clumpiness and concentration for a set of galaxies with M. We correlate these automatic statistics with the recent merger history of galaxies and with the presence of close companions. Our main contribution is to assess in a cosmological framework, the empirically derived non-parametric demarcation line and average time-scales used to determine the merger rate observationally. We found that 98 per cent of galaxies above the demarcation line have a close companion or have experienced a recent merger event. On average, merger signatures…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
