106 citations · 711 across the 37 of their papers we have counts for
38 papers
Application of Bayesian Statistical Tools to SKA Telescopes Polarization Surveys to Study Magnetization of the Large-scale Structure of the Universe
Valentina Vacca, Sebastian Hutschenreuter, Andrea Cabriolu +18
Understanding cosmological magnetic fields requires a detailed knowledge of magnetism in the different environments of the large-scale structure of the Universe. Magnetic fields ar…
KiDS+VIKING-450 cosmology with Bayesian hierarchical model redshift distributions
George T. Kyriacou, Arrykrishna Mootoovaloo, Alan F. Heavens +3
Tomographic redshift distributions from photometric data are crucial ingredients in cosmic shear analysis, since they are required for the theoretical calculation of the signal bas…
Field-Level Inference of Primordial Non-Gaussianity with the Quijote Simulation Suite
Adam Andrews, Jens Jasche, Guilhem Lavaux +10
Local primordial non-Gaussianity, parameterised as , will be stringently constrained using state-of-the-art methods applied to next-generation galaxy redshi…
Reconstructing the largest scales of the Universe with field-level inference applied to the Quaia Quasar Catalogue
Adam Andrews, Arthur Loureiro, Jens Jasche +3
The recently released Quaia quasar catalogue, with its broad redshift range and all-sky coverage, enables unprecedented three-dimensional reconstructions of matter across cosmic ti…
Field-level inference in cosmology
Florent Leclercq
These lecture notes delve into field-level inference, a framework offering a robust way to extract more information and avoid biases compared to traditional methods for cosmologica…
Euclid: Field-level inference of primordial non-Gaussianity and cosmic initial conditions
A. Andrews, J. Jasche, G. Lavaux +147
A primary target of the \Euclid space mission is to constrain early-universe physics by searching for deviations from a primordial Gaussian random field. A significant detection of…
Diagnosing Systematic Effects Using the Inferred Initial Power Spectrum
Tristan Hoellinger, Florent Leclercq
The next generation of galaxy surveys has the potential to substantially deepen our understanding of the Universe. This potential hinges on our ability to rigorously address system…
COmoving Computer Acceleration (COCA): -body simulations in an emulated frame of reference
Deaglan J. Bartlett, Marco Chiarenza, Ludvig Doeser +1
-body simulations are computationally expensive, so machine-learning (ML)-based emulation techniques have emerged as a way to increase their speed. Although fast, surrogate mode…
Luminous giants populate the dense Cosmic Web: The radio luminosity-environmental density relation for radio galaxies in action
Martijn S. S. L. Oei, Reinout J. van Weeren, Martin J. Hardcastle +6
Giant radio galaxies (GRGs, giant RGs, or giants) are megaparsec-scale, jet-driven outflows from accretion disks of supermassive black holes, and represent the most extreme pathway…
Bayesian Inference of Initial Conditions from Non-Linear Cosmic Structures using Field-Level Emulators
Ludvig Doeser, Drew Jamieson, Stephen Stopyra +3
Analysing next-generation cosmological data requires balancing accurate modeling of non-linear gravitational structure formation and computational demands. We propose a solution by…
Higher-order statistics of the large-scale structure from photometric redshifts
Eleni Tsaprazi, Jens Jasche, Guilhem Lavaux +1
The large-scale structure is a major source of cosmological information. However, next-generation photometric galaxy surveys will only provide a distorted view of cosmic structures…
An intergalactic medium temperature from a giant radio galaxy
Martijn S. S. L. Oei, Reinout J. van Weeren, Martin J. Hardcastle +5
The warm-hot intergalactic medium (warm-hot IGM, or WHIM) pervades the filaments of the Cosmic Web and harbours half of the Universe's baryons. The WHIM's thermodynamic properties…
Simulation-based inference of Bayesian hierarchical models while checking for model misspecification
Florent Leclercq
This paper presents recent methodological advances to perform simulation-based inference (SBI) of a general class of Bayesian hierarchical models (BHMs), while checking for model m…
Field-Based Physical Inference From Peculiar Velocity Tracers
James Prideaux-Ghee, Florent Leclercq, Guilhem Lavaux +2
We present a Bayesian hierarchical modelling approach to reconstruct the initial cosmic matter density field constrained by peculiar velocity observations. As our approach features…
Filamentary Baryons and Where to Find Them: A forecast of synchrotron radiation from merger and accretion shocks in the local Cosmic Web
Martijn S. S. L. Oei, Reinout J. van Weeren, Franco Vazza +3
We generate probabilistic predictions of the low-redshift () synchrotron Cosmic Web for half of the Northern Sky. In particular, we predict the contribution to the specifi…
Rubin-Euclid Derived Data Products: Initial Recommendations
Leanne P. Guy, Jean-Charles Cuillandre, Etienne Bachelet +117
This report is the result of a joint discussion between the Rubin and Euclid scientific communities. The work presented in this report was focused on designing and recommending an…
Kernel-Based Emulator for the 3D Matter Power Spectrum from CLASS
Arrykrishna Mootoovaloo, Andrew H. Jaffe, Alan F. Heavens +1
The 3D matter power spectrum, is a fundamental quantity in the analysis of cosmological data such as large-scale structure, 21cm observations, and weak lensing. Existing…
On the accuracy and precision of correlation functions and field-level inference in cosmology
Florent Leclercq, Alan Heavens
We present a comparative study of the accuracy and precision of correlation function methods and full-field inference in cosmological data analysis. To do so, we examine a Bayesian…
Parameter Inference for Weak Lensing using Gaussian Processes and MOPED
Arrykrishna Mootoovaloo, Alan F. Heavens, Andrew H. Jaffe +1
In this paper, we propose a Gaussian Process (GP) emulator for the calculation of a) tomographic weak lensing band-power spectra, and b) coefficients of summary data massively comp…
Systematic-free inference of the cosmic matter density field from SDSS3-BOSS data
Guilhem Lavaux, Jens Jasche, Florent Leclercq
We perform an analysis of the three-dimensional cosmic matter density field traced by galaxies of the SDSS-III/BOSS galaxy sample. The systematic-free nature of this analysis is co…
Velocity correction for Hubble constant measurements from standard sirens
Suvodip Mukherjee, Guilhem Lavaux, François R. Bouchet +5
Gravitational wave (GW) sources are an excellent probe of the luminosity distance and offer a novel measure of the Hubble constant, . This estimation of from standard si…
Primordial power spectrum and cosmology from black-box galaxy surveys
Florent Leclercq, Wolfgang Enzi, Jens Jasche +1
We propose a new, likelihood-free approach to inferring the primordial matter power spectrum and cosmological parameters from arbitrarily complex forward models of galaxy surveys w…
Bayesian optimisation for likelihood-free cosmological inference
Florent Leclercq
Many cosmological models have only a finite number of parameters of interest, but a very expensive data-generating process and an intractable likelihood function. We address the pr…
Cosmological -body simulations including radiation perturbations
Jacob Brandbyge, Cornelius Rampf, Thomas Tram +3
Cosmological -body simulations are the standard tool to study the emergence of the observed large-scale structure of the Universe. Such simulations usually solve for the gravita…