Maggie Lieu
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View article: A Comprehensive Guide to Interpretable AI-Powered Discoveries in Astronomy
A Comprehensive Guide to Interpretable AI-Powered Discoveries in Astronomy Open
The exponential growth of astronomical data necessitates the adoption of artificial intelligence (AI) and machine learning for timely and efficient scientific discovery. While AI techniques have achieved significant successes across divers…
View article: Machine Learning methods in Astronomy
Machine Learning methods in Astronomy Open
View article: Curious Kids: what comes after space?
Curious Kids: what comes after space? Open
View article: Possible evidence for a large-scale enhancement in the Lyman-$α$ forest power spectrum at redshift $\mathbf{\textit{z}\geq 4}$
Possible evidence for a large-scale enhancement in the Lyman-$α$ forest power spectrum at redshift $\mathbf{\textit{z}\geq 4}$ Open
Inhomogeneous reionization enhances the 1D Lyman-$α$ forest power spectrum on large scales at redshifts $z\geq4$. This is due to coherent fluctuations in the ionized hydrogen fraction that arise from large-scale variations in the post-reio…
View article: Possible evidence for a large-scale enhancement in the Lyman-α forest power spectrum at redshift<i>z</i>≥ 4
Possible evidence for a large-scale enhancement in the Lyman-α forest power spectrum at redshift<i>z</i>≥ 4 Open
Inhomogeneous reionization enhances the 1D Ly α forest power spectrum on large scales at redshifts z ≥ 4. This is due to coherent fluctuations in the ionized hydrogen fraction that arise from large-scale variations in the post-reionization…
View article: Deep learning-based super-resolution and de-noising for XMM-newton images
Deep learning-based super-resolution and de-noising for XMM-newton images Open
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. In this work, we present the first application of Machine …
View article: A new emulated Monte Carlo radiative transfer disc-wind model: X-Ray Accretion Disc-wind Emulator – <scp>xrade</scp>
A new emulated Monte Carlo radiative transfer disc-wind model: X-Ray Accretion Disc-wind Emulator – <span>xrade</span> Open
We present a new X-Ray Accretion Disc-wind Emulator (xrade) based on the 2.5D Monte Carlo radiative transfer code that provides a physically motivated, self-consistent treatment of both absorption and emission from a disc wind by computing…
View article: AGN X-ray spectroscopy with neural networks
AGN X-ray spectroscopy with neural networks Open
We explore the possibility of using machine learning to estimate physical parameters directly from active galactic nucleus (AGN) X-ray spectra without needing computationally expensive spectral fitting. Specifically, we consider survey qua…
View article: Deep Learning-Based Super-Resolution and De-Noising for XMM-Newton Images
Deep Learning-Based Super-Resolution and De-Noising for XMM-Newton Images Open
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. In this work we present the first application of Machine L…
View article: Curious Kids: what are the rings around planets made of?
Curious Kids: what are the rings around planets made of? Open
View article: 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
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 Open
Large samples of galaxy clusters provide knowledge of both astrophysics in the most massive virialized environments and the properties of the cosmological model that defines our Universe. However, an important issue that affects the interp…
View article: Learning to denoise astronomical images with U-nets
Learning to denoise astronomical images with U-nets Open
Astronomical images are essential for exploring and understanding the Universe. Optical telescopes capable of deep observations, such as the Hubble Space Telescope (HST), are heavily oversubscribed in the Astronomical Community. Images als…
View article: Multiwavelength classification of X-ray selected galaxy cluster candidates in the X-CLASS survey
Multiwavelength classification of X-ray selected galaxy cluster candidates in the X-CLASS survey Open
Classification dataset used in Kosiba et al. 2020 (10.1093/mnras/staa1723) Training and testing images and corresponding labels low-z (clusters, 00.3), nearby galaxy, point source (point, double source, star/AGN)…
View article: Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks
Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks Open
Classification dataset used in Kosiba et al. 2020 (10.1093/mnras/staa1723) consisting of candidate clusters in the XCLASS survey Training and testing images and corresponding labels low-z (clusters, 00.3), nearby…
View article: Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks
Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks Open
Classification dataset used in Kosiba et al. 2020 (10.1093/mnras/staa1723) consisting of candidate clusters in the XCLASS survey Training and testing images and corresponding labels low-z (clusters, 00.3), nearby…
View article: Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks
Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks Open
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 images, which is a slow process with biases that are almost…
View article: X-ray properties of the X-CLASS-redMaPPer galaxy cluster sample: the luminosity–temperature relation
X-ray properties of the X-CLASS-redMaPPer galaxy cluster sample: the luminosity–temperature relation Open
This article presents the results of a spectroscopic analysis of the X-CLASS-redMaPPer (XC1-RM) galaxy cluster sample. X-CLASS is a serendipitous search for clusters in X-ray wavebands based on the XMM–Newton archive, whereas redMaPPer is …
View article: XXL Survey groups and clusters in the Hyper Suprime-Cam Survey. Scaling relations between X-ray properties and weak lensing mass
XXL Survey groups and clusters in the Hyper Suprime-Cam Survey. Scaling relations between X-ray properties and weak lensing mass Open
Scaling relations trace the formation and evolution of galaxy clusters. We exploited multi-wavelength surveys – the XXL survey at XMM-Newton in the X-ray band, and the Hyper Suprime-Cam Subaru Strategic Program for optical weak lensing – t…
View article: About the proper motion of lensed quasars in Gaia DR2
About the proper motion of lensed quasars in Gaia DR2 Open
The distribution of the normalised parallaxes and proper motions of Gaia DR2 quasars follows nicely a Gaussian distribution with standard deviation close to 1. One would naively expect that the subset of lensed QSOs has the same property. …
View article: Detecting Solar system objects with convolutional neural networks
Detecting Solar system objects with convolutional neural networks Open
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 objects from other astronomical sources. Using transfer learn…
View article: PSZ2LenS. Weak lensing analysis of the Planck clusters in the CFHTLenS and in the RCSLenS
PSZ2LenS. Weak lensing analysis of the Planck clusters in the CFHTLenS and in the RCSLenS Open
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 PSZ2LenS sample, i.e. the PSZ2 galaxy clusters detected by the P…
View article: Hierarchical inference of the relationship between concentration and mass in galaxy groups and clusters
Hierarchical inference of the relationship between concentration and mass in galaxy groups and clusters Open
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 for extracting cluster masses from data require the additi…
View article: The <scp>XXL</scp> survey: First results and future
The <span>XXL</span> survey: First results and future Open
The XXL survey currently covers two 25 deg 2 patches with XMM observations of ∼10 ks. We summarize the scientific results associated with the first release of the XXL dataset, which occurred in mid‐2016. We review several arguments for inc…
View article: The XXL survey XV: evidence for dry merger driven BCG growth in XXL-100-GC X-ray clusters
The XXL survey XV: evidence for dry merger driven BCG growth in XXL-100-GC X-ray clusters Open
The growth of brightest cluster galaxies (BCGs) is closely related to the properties of their host cluster. We present evidence for dry mergers as the dominant source of BCG mass growth at z ≲ 1 in the XXL 100 brightest cluster sample…
View article: Cosmic giants on cosmic scales
Cosmic giants on cosmic scales Open
Galaxy groups and clusters are cosmic giants. They are the largest observable virialised objects that have materialised from the initial perturbations in the early Universe. These systems comprise of not only galaxies, but also hot gas and…
View article: The XXL Survey
The XXL Survey Open
We present the XXL Survey, the largest XMM programme totaling some 6.9 Ms to\ndate and involving an international consortium of roughly 100 members. The XXL\nSurvey covers two extragalactic areas of 25 deg2 each at a point-source\nsensitiv…
View article: The XXL Survey
The XXL Survey Open
The XXL survey is the largest survey carried out by XMM-Newton. Covering an\narea of 50deg$^2$, the survey contains $\\sim450$ galaxy clusters out to a\nredshift $\\sim$2 and to an X-ray flux limit of\n$\\sim5\\times10^{-15}erg\\,s^{-1}cm^…
View article: The XXL Survey
The XXL Survey Open
Traditionally, galaxy clusters have been expected to retain all the material\naccreted since their formation epoch. For this reason, their matter content\nshould be representative of the Universe as a whole, and thus their baryon\nfraction…
View article: LoCuSS: Testing hydrostatic equilibrium in galaxy clusters
LoCuSS: Testing hydrostatic equilibrium in galaxy clusters Open
We test the assumption of hydrostatic equilibrium in an X-ray luminosity selected sample of 50 galaxy clusters at 0.15 < z < 0.3 from the Local Cluster Substructure Survey (LoCuSS). Our weak-lensing measurements of M500 control syste…