activity
20172026
most citedDisentangling the AGN and Star-Formation connection using XMM-Newton

54 citations · 278 across the 11 of their papers we have counts for

collaborators

11 papers

astro-ph.GA2026

The incidence and star-formation properties of X-ray active galactic nuclei across the star-forming main sequence in DESI-eRASS1: the role of host-galaxy morphology

G. Mountrichas, F. J. Carrera, V. A. Masoura +3

The interplay between star formation and supermassive black-hole growth is central to galaxy evolution, but how host-galaxy morphology regulates star-formation enhancement and AGN…

astro-ph.GA2024★ 1 cited

Comparative analysis of the SFR of AGN and non-AGN galaxies, as a function of stellar mass, AGN power, cosmic time and obscuration

G. Mountrichas, V. A. Masoura, A. Corral +1

This study involves a comparative analysis of the SFRs of AGN and non-AGN galaxies and of the SFRs of type 1 and 2 AGN. To carry out this investigation, we assembled a dataset cons…

astro-ph.GA2022★ 36 cited

Star-forming early- and quiescent late-type galaxies in the local Universe

E. -D. Paspaliaris, E. M. Xilouris, A. Nersesian +5

The general consensus is that LTGs undergo intense star-formation activity, while ETGs are mostly inactive. We question this general rule and investigate the existence of star-form…

astro-ph.GA2022★ 32 cited

Star formation of X-ray AGN in COSMOS: The role of AGN activity and galaxy stellar mass

G. Mountrichas, V. A. Masoura, E. M. Xilouris +3

We use X-ray sources in the COSMOS-Legacy survey and study the position of the AGN relative to the star forming main sequence (MS). We also construct a galaxy (non-AGN…

astro-ph.GA2021★ 49 cited

Galaxy properties of type 1 and 2 X-ray selected AGN and comparison among different classification criteria

G. Mountrichas, V. Buat, I. Georgantopoulos +4

We present analyses of host galaxy properties of type 1 and type 2 X-ray selected AGNs in the XMM-XXL field, which have available optical spectroscopic classification. We model the…

astro-ph.GA2021★ 16 cited

The physical properties of local (U)LIRGs: a comparison with nearby early- and late-type galaxies

E. -D. Paspaliaris, E. M. Xilouris, A. Nersesian +6

In order to pinpoint the place of the (U)LIRGs in the local Universe we examine the properties of a sample of 67 such systems and compare them with those of 268 ETGs and 542 LTGs f…

astro-ph.GA2021★ 41 cited

The relation between AGN type and host galaxy properties

V. A. Masoura, G. Mountrichas, I. Georgantopoulos +1

We use 3,213 Active Galactic Nuclei (AGNs) from the -XXL northern field to investigate the relation of AGN type with host galaxy properties. Applying a Bayesian method, w…

astro-ph.GA2020★ 12 cited

The survey: XL. Obscuration properties of red AGN in

V. A. Masoura, I. Georgantopoulos, G. Mountrichas +6

The combination of optical and mid-infrared (MIR) photometry has been extensively used to select red active galactic nuclei (AGNs). Our aim is to explore the obscuration properties…

astro-ph.GA2020★ 19 cited

A binning-free method reveals a continuous relationship between galaxies' AGN power and offset from main sequence

L. P. Grimmett, J. R. Mullaney, E. P. Bernhard +5

Studies investigating the relationship between AGN power and the star formation rates (SFRs) of their host galaxies often rely on averaging techniques -- such as stacking -- to inc…

astro-ph.GA2018★ 54 cited

Disentangling the AGN and Star-Formation connection using XMM-Newton

V. A. Masoura, G. Mountrichas, I. Georgantopoulos +3

There is growing evidence supporting the coeval growth of galaxies and their resident SMBH. Most studies also claim a correlation between the activity of the SMBH and the star-form…

astro-ph.GA2017★ 18 cited

Estimating Photometric Redshifts for X-ray sources in the X-ATLAS field, using machine-learning techniques

G. Mountrichas, A. Corral, V. A. Masoura +5

We present photometric redshifts for 1,031 X-ray sources in the X-ATLAS field, using the machine learning technique TPZ (Carrasco Kind & Brunner 2013). X-ATLAS covers 7.1 deg2 obse…