From blue star-forming to red passive: galaxies in transition in different environments
Benedetta Vulcani (KAVLI IPMU), Bianca M. Poggianti (INAF-OaPD),, Jacopo Fritz (Sterrenkundig Observatorium Vakgroep Fysica en Sterrenkunde, Universiteit, Centro de Radioastronomia y Astrofisica, CRyA), Giovanni Fasano, (INAF-OaPD), Alessia Moretti (INAF-OaPD

TL;DR
This study investigates how galaxy colors and morphologies change during transitional phases, revealing that these transformations are primarily driven by internal processes rather than environment, with some environmental influence on rapid quenching.
Contribution
It provides a detailed analysis of galaxy transition stages using a mass-complete sample, highlighting the independence of transformation processes from environment and galaxy mass.
Findings
Color fractions depend on mass and environment for less massive galaxies.
Red galaxy incidence increases with mass and varies with environment.
Galaxy transformations involve star formation suppression and morphological changes without structural disruption.
Abstract
Exploiting a mass complete (M_*>10^(10.25)M_sun) sample at 0.03<z<0.11 drawn from the Padova Millennium Galaxy Group Catalog (PM2GC), we use the (U-B)_rf color and morphologies to characterize galaxies, in particular those that show signs of an ongoing or recent transformation of their star formation activity and/or morphology - green galaxies, red passive late types, and blue star-forming early types. Color fractions depend on mass and only for M_*<10^(10.7)M_sun on environment. The incidence of red galaxies increases with increasing mass, and, for M_*<10^(10.7)M_sun, decreases toward the group outskirts and in binary and single galaxies. The relative abundance of green and blue galaxies is independent of environment, and increases monotonically with galaxy mass. We also inspect galaxy structural parameters, star-formation properties, histories and ages and propose an evolutionary…
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.
