Abstract
We study the fraction of tidal interactions and mergers (TIMs) with well-identified observability timescales (f TIM) in group, cluster, and accompanying field galaxies and its dependence on redshift (z), cluster velocity dispersion (σ), and environment analyzing Hubble Space Telescope/ACS images and catalogs from the ESO Distant Cluster Survey. Our sample consists of 11 clusters, seven groups, and accompanying field galaxies at 0.4 ≤ z ≤ 0.8. We derive f TIM using both a visual classification of galaxy morphologies and an automated method, the G - M 20 method. We calibrate this method using the visual classifications that were performed on a subset of our sample. We find marginal evidence for a trend between f TIM and z, in that higher z values correspond to higher f TIM. However, we also cannot rule out the null hypothesis of no correlation at higher than 68% confidence. No trend is present between f TIM and σ. We find that f TIM shows suggestive peaks in groups, and tentatively in clusters at R > 0.5 × R 200, implying that f TIM gets boosted in these intermediate-density environments. However, our analysis of the local densities of our cluster sample does not reveal a trend between f TIM and density, except for a potential enhancement at the very highest densities. We also perform an analysis of projected radius-velocity phase space for our cluster members. Our results reveal that TIM and undisturbed galaxies only have a 6% probability of having been drawn from the same parent population in their velocity distribution and 37% in radii, in agreement with the modest differences obtained in f TIM at the clusters.
Original language | English (US) |
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Article number | 6 |
Journal | Astrophysical Journal |
Volume | 869 |
Issue number | 1 |
DOIs | |
State | Published - Dec 10 2018 |
Keywords
- galaxies: clusters: general
- galaxies: evolution
- galaxies: groups: general
- galaxies: interactions
ASJC Scopus subject areas
- Astronomy and Astrophysics
- Space and Planetary Science
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Tidal interactions and mergers in EDisCS clusters
Deger, S. (Creator), Rudnick, G. (Creator), Kelkar, K. (Creator), Aragón-Salamanca, A. (Contributor), Desai, V. (Creator), Lotz, J. M. (Creator), Jablonka, P. (Creator), Moustakas, J. (Creator) & Zaritsky, D. (Creator), Centre de Donnees Strasbourg (CDS), 2019
DOI: 10.26093/cds/vizier.18690006, https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/869/6
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