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Using deep images and simulations to trace collisional debris around massive galaxies

Duc 2017. The classification scheme used for the MATLAS deep imaging survey

Deep imaging programs, such as MATLAS which has just been completed at the CFHT, allows us to study with their diffuse light the outer stellar populations around large number of galaxies. We have carried out a systematic census of their fine structures, i.e. the collisional debris from past mergers.

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Star formation in the outer regions of the early-type galaxy NGC 4203

Composite g′ + r′ MegaCam image of NGC 4203 with the dust lanes superimposed in red (Yildiz et al.2015)

NGC 4203 is a nearby early-type galaxy surrounded by a very large, low-column-density H I disc. In this paper, we study the star formation efficiency in the gas disc of NGC 4203 by using the UV, deep optical imaging and infrared data.

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Applying galactic archeology to massive galaxies using deep imaging surveys

Collection of images from the MATLAS survey for a sample of ETGs (IAUS311)

Various programs aimed at exploring the still largely unknown low surface brightness Universe with deep imaging optical surveys have recently started. They open a new window for studies of galaxy evolution, pushing the technique of galactic archeology outside the Local Group (LG).

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