activity
20142026
most citedThe XXL Survey: I. Scientific motivations - XMM-Newton observing plan - Follow-up observations and simulation programme

272 citations · 1.5k across the 26 of their papers we have counts for

collaborators

27 papers

astro-ph.CO2026

Euclid: Galaxy cluster detection through the weak lensing effect - algorithm assessment and selection

A. Manjón-García, G. Leroy, S. Pires +164

Weak gravitational lensing offers a powerful way to detect galaxy clusters by directly tracing their total matter content. Its effectiveness increases with the density of backgroun…

astro-ph.CO2026

CHEX-MATE: AMALGAM weak-lensing analysis of 41 Planck Sunyaev-Zel'dovich-selected galaxy clusters

Keiichi Umetsu, Raphael Gavazzi, Mauro Sereno +20

We present a weak-lensing shear analysis of 41 Planck SZ-selected galaxy clusters at from the CHEX-MATE sample, using wide-field Subaru/Suprime-Cam and CFHT/Meg…

astro-ph.CO2023★ 14 cited

Possible evidence for a large-scale enhancement in the Lyman- forest power spectrum at redshift

Margherita Molaro, Vid Iršič, James S. Bolton +5

Inhomogeneous reionization enhances the 1D Lyman- forest power spectrum on large scales at redshifts . This is due to coherent fluctuations in the ionized hydrogen fract…

astro-ph.HE2022★ 17 cited

A New Emulated Monte Carlo Radiative Transfer Disk-Wind Model: X-Ray Accretion Disk-wind Emulator -- XRADE

G. A. Matzeu, M. Lieu, M. T. Costa +14

We present a new X-Ray Accretion Disk-wind Emulator (\textsc{xrade}) based on the 2.5D Monte Carlo radiative transfer code which provides a physically-motivated, self-consistent tr…

astro-ph.HE2022★ 9 cited

AGN X-ray Spectroscopy with Neural Networks

M. L. Parker, M. Lieu, G. A. Matzeu

We explore the possibility of using machine learning to estimate physical parameters directly from AGN X-ray spectra without needing computationally expensive spectral fitting. Spe…

astro-ph.IM2022★ 33 cited

Deep Learning-Based Super-Resolution and De-Noising for XMM-Newton Images

Sam F. Sweere, Ivan Valtchanov, Maggie Lieu +6

The field of artificial intelligence based image enhancement has been rapidly evolving over the last few years and is able to produce impressive results on non-astronomical images.…

astro-ph.CO2021★ 40 cited

The X-CLASS survey: A catalogue of 1646 X-ray-selected galaxy clusters up to z1.5

E. Koulouridis, N. Clerc, T. Sadibekova +25

Cosmological probes based on galaxy clusters rely on cluster number counts and large-scale structure information. X-ray cluster surveys are well suited for this purpose, since they…

astro-ph.CO2021★ 16 cited

Understanding X-ray and optical selection of galaxy clusters: A comparison of the XXL and CAMIRA cluster catalogues obtained in the common XXL-HSC SSP area

J. P. Willis, M. Oguri, M. E. Ramos-Ceja +31

Large samples of galaxy clusters provide knowledge of both astrophysics in the most massive virialised environments and the properties of the cosmological model that defines our Un…

astro-ph.IM2020★ 62 cited

Learning to Denoise Astronomical Images with U-nets

Antonia Vojtekova, Maggie Lieu, Ivan Valtchanov +4

Astronomical images are essential for exploring and understanding the universe. Optical telescopes capable of deep observations, such as the Hubble Space Telescope, are heavily ove…

astro-ph.CO2020★ 6 cited

Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks

Matej Kosiba, Maggie Lieu, Bruno Altieri +15

Galaxy clusters appear as extended sources in XMM-Newton images, but not all extended sources are clusters. So, their proper classification requires visual inspection with optical…

astro-ph.CO2020★ 8 cited

X-ray properties of X-CLASS-redMaPPer galaxy cluster sample: The luminosity-temperature relation

Mona Molham, Nicolas Clerc, Ali Takey +7

This paper presents results of a spectroscopic analysis of the X-CLASS-redMaPPer (XC1-RM) galaxy cluster sample. X-CLASS is a serendipitous search for clusters in the X-ray waveban…

astro-ph.CO2019★ 38 cited

XXL Survey groups and clusters in the Hyper Suprime-Cam Survey. Scaling relations between X-ray properties and weak lensing mass

Mauro Sereno, Keiichi Umetsu, Stefano Ettori +13

Scaling relations trace the formation and evolution of galaxy clusters. We exploited multi-wavelength surveys -- the XXL survey at \emph{XMM-Newton} in the X-ray band, and the Hype…

astro-ph.CO2019★ 78 cited

Weak lensing Analysis of X-Ray-selected XXL Galaxy Groups and Clusters with Subaru HSC Data

Keiichi Umetsu, Mauro Sereno, Maggie Lieu +23

We present a weak-lensing analysis of X-ray galaxy groups and clusters selected from the XMM-XXL survey using the first-year data from the Hyper Suprime-Cam (HSC) Subaru Strategic…

astro-ph.CO2018★ 79 cited

The XXL Survey XXV. Cosmological analysis of the C1 cluster number counts

F. Pacaud, M. Pierre, J. -B. Melin +25

Context. We present an estimation of cosmological parameters with clusters of galaxies. Aims. We constrain the , , and parameters from a stand-alone sample of X-ray c…

astro-ph.IM2018★ 43 cited

Detecting solar system objects with convolutional neural networks

Maggie Lieu, Luca Conversi, Bruno Altieri +1

In the preparation for ESA's Euclid mission and the large amount of data it will produce, we train deep convolutional neural networks on Euclid simulations classify solar system ob…

astro-ph.CO2017★ 88 cited

PSZ2LenS. Weak lensing analysis of the Planck clusters in the CFHTLenS and in the RCSLenS

Mauro Sereno, Giovanni Covone, Luca Izzo +3

The possibly unbiased selection process in surveys of the Sunyaev Zel'dovich effect can unveil new populations of galaxy clusters. We performed a weak lensing analysis of the PSZ2L…

astro-ph.CO2017★ 19 cited

Hierarchical inference of the relationship between Concentration and Mass in Galaxy Groups and Clusters

Maggie Lieu, Will M. Farr, Michael Betancourt +3

Mass is a fundamental property of galaxy groups and clusters. In theory weak gravitational lensing will enable an approximately unbiased measurement of mass, but parametric methods…

astro-ph.GA2016★ 11 cited

The XXL survey: first results and future

M. Pierre, C. Adami, M. Birkinshaw +108

The XXL survey currently covers two 25 sq. deg. patches with XMM observations of ~10ks. We summarise the scientific results associated with the first release of the XXL data set, t…

astro-ph.GA2016★ 38 cited

The XXL survey XV: Evidence for dry merger driven BCG growth in XXL-100-GC X-ray clusters

S. Lavoie, J. P. Willis, J. Democles +33

The growth of brightest cluster galaxies is closely related to the properties of their host cluster. We present evidence for dry mergers as the dominant source of BCG mass growth a…

astro-ph.GA2015★ 17 cited

The XXL Survey X: K-band luminosity - weak-lensing mass relation for groups and clusters of galaxies

F. Ziparo, G. P. Smith, S. L. Mulroy +15

We present the K-band luminosity-halo mass relation, , for a subsample of 20 of the 100 brightest clusters in the XXL Survey observed with WIRCam at the Canad…

astro-ph.CO2015★ 272 cited

The XXL Survey: I. Scientific motivations - XMM-Newton observing plan - Follow-up observations and simulation programme

M. Pierre, F. Pacaud, C. Adami +89

We present the XXL Survey, the largest XMM programme totaling some 6.9 Ms to date and involving an international consortium of roughly 100 members. The XXL Survey covers two extrag…

astro-ph.CO2015★ 143 cited

The XXL Survey. II. The bright cluster sample: catalogue and luminosity function

F. Pacaud, N. Clerc, P. A. Giles +40

Context. The XXL Survey is the largest survey carried out by the XMM-Newton satellite and covers a total area of 50 square degrees distributed over two fields. It primarily aims at…

astro-ph.CO2015★ 89 cited

The XXL Survey IV. Mass-temperature relation of the bright cluster sample

Maggie Lieu, Graham P. Smith, Paul A. Giles +18

The XXL survey is the largest survey carried out by XMM-Newton. Covering an area of 50deg, the survey contains galaxy clusters out to a redshift 2 and to an X-r…

astro-ph.CO2015★ 102 cited

The XXL Survey III. Luminosity-temperature relation of the Bright Cluster Sample

P. A. Giles, B. J. Maughan, F. Pacaud +13

The XXL Survey is the largest homogeneous survey carried out with XMM-Newton. Covering an area of 50 deg, the survey contains several hundred galaxy clusters out to a redshif…