The Evolution of Early-type Galaxies Selected by Their Spatial Clustering
Nelson Padilla (PUC), Daniel Christlein (MPA), Eric Gawiser (Rutgers), and Danilo Marchesini (Tufts)

TL;DR
This paper introduces a clustering-based method to trace the evolution of early-type galaxies over cosmic time, revealing that mergers are necessary to reconcile the changing number densities without significant star formation.
Contribution
The study develops a novel clustering-based approach to identify galaxy progenitors and descendants, providing new insights into galaxy evolution and merger history from z~1 to today.
Findings
ETGs at a given redshift evolve into brighter, more massive galaxies at lower redshifts.
Progenitors are about 5.5 times more numerous than their descendants, indicating mergers reduce their number density.
No significant star formation is needed in ETGs since z=1, suggesting dry mergers dominate.
Abstract
Aims: We present a new method that uses luminosity or stellar mass functions combined with clustering measurements to select samples of galaxies at different redshifts likely to follow a progenitor-to-descendant relationship. As the method uses clustering information, we refer to galaxy samples selected this way as clustering-selected samples. We apply this method to infer the number of mergers during the evolution of MUSYC early-type galaxies (ETGs) from z~1 to the present-day. Methods: The method consists in using clustering information to infer the typical dark-matter halo mass of the hosts of the selected progenitor galaxies. Using LambdaCDM predictions, it is then possible to follow these haloes to a later time where the sample of descendants will be that with the clustering of these descendant haloes. Results: This technique shows that ETGs at a given redshift evolve into brighter…
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