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View article: Euclid preparation: Towards a DR1 application of higher-order weak lensing statistics
Euclid preparation: Towards a DR1 application of higher-order weak lensing statistics Open
This is the second paper in the HOWLS (higher-order weak lensing statistics) series exploring the usage of non-Gaussian statistics for cosmology inference within \textit{Euclid}. With respect to our first paper, we develop a full tomograph…
View article: Bye binormal: analysing the joint PDF of galaxy density and weak lensing convergence
Bye binormal: analysing the joint PDF of galaxy density and weak lensing convergence Open
At any given scale, 3$\times$2-point statistics extract only three numbers from the joint distribution of the cosmic matter density and galaxy density fluctuations: their variances and their covariance. It is well known that the full shape…
View article: The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics Open
View article: Cosmology on point: modelling spectroscopic tracer one-point statistics
Cosmology on point: modelling spectroscopic tracer one-point statistics Open
The 1-point matter density probability distribution function (PDF) captures some of the non-Gaussian information lost in standard 2-point statistics. The matter PDF can be well predicted at mildly non-linear scales using large deviations t…
View article: Cosmology on point: modelling spectroscopic tracer one-point statistics
Cosmology on point: modelling spectroscopic tracer one-point statistics Open
The 1-point matter density probability distribution function (PDF) captures some of the non-Gaussian information lost in standard 2-point statistics. The matter PDF can be well predicted at mildly non-linear scales using large deviations t…
View article: When to interfere with dark matter? The impact of wave dynamics on statistics
When to interfere with dark matter? The impact of wave dynamics on statistics Open
Ultralight candidates for dark matter can present wavelike features on astrophysical scales. Full wave based simulations of such candidates are currently limited to box sizes of 1–10 Mpc/ on a side, limiting our understanding of the impac…
View article: Unleashing cosmic shear information with the tomographic weak lensing PDF
Unleashing cosmic shear information with the tomographic weak lensing PDF Open
In this work, we demonstrate the constraining power of the tomographic weak lensing convergence PDF for StageIV-like source galaxy redshift bins and shape noise. We focus on scales of to arcmin in the mildly nonlinear regime, where the c…
View article: When to interfere with dark matter? The impact of wave dynamics on statistics
When to interfere with dark matter? The impact of wave dynamics on statistics Open
Ultralight candidates for dark matter can present wavelike features on astrophysical scales. Full wave based simulations of such candidates are currently limited to box sizes of 1--10 Mpc/$h$ on a side, limiting our understanding of the im…
View article: Making the leap. Part I. Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics
Making the leap. Part I. Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics Open
The last few years have seen the development of a promising theoretical framework for statistics of the cosmic large-scale structure — the theory of large deviations (LDT) for modelling weak-lensing one-point statistics in the mildly nonli…
View article: Making the leap I: Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics
Making the leap I: Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics Open
The last few years have seen the development of a promising theoretical framework for statistics of the cosmic large-scale structure -- the theory of large deviations (LDT) for modelling weak-lensing one-point statistics in the mildly non-…
View article: The cumulant generating function as a novel observable to cumulate weak lensing information
The cumulant generating function as a novel observable to cumulate weak lensing information Open
International audience
View article: <i>Euclid</i>preparation
<i>Euclid</i>preparation Open
Recent cosmic shear studies have shown that higher-order statistics (HOS) developed by independent teams now outperform standard two-point estimators in terms of statistical precision thanks to their sensitivity to the non-Gaussian feature…
View article: It takes two to know one: computing accurate one-point PDF covariances from effective two-point PDF models
It takes two to know one: computing accurate one-point PDF covariances from effective two-point PDF models Open
One-point probability distribution functions (PDFs) of the cosmic matter density are powerful cosmological probes that extract non-Gaussian properties of the matter distribution and complement two-point statistics. Computing the covariance…
View article: Euclid preparation : XXVIII. Forecasts for ten different higher-order weak lensing statistics
Euclid preparation : XXVIII. Forecasts for ten different higher-order weak lensing statistics Open
Recent cosmic shear studies have shown that higher-order statistics (HOS)\ndeveloped by independent teams now outperform standard two-point estimators in\nterms of statistical precision thanks to their sensitivity to the non-Gaussian\nfeat…
View article: The cumulant generating function as a novel observable to cumulate weak lensing information
The cumulant generating function as a novel observable to cumulate weak lensing information Open
Key non-Gaussian properties of cosmological fields can be captured by their one-point statistics, providing a complement to two-point statistical measurements from power spectra or correlation functions. Large deviation theory can robustly…
View article: It takes two to know one: Computing accurate one-point PDF covariances from effective two-point PDF models
It takes two to know one: Computing accurate one-point PDF covariances from effective two-point PDF models Open
One-point probability distribution functions (PDFs) of the cosmic matter density are powerful cosmological probes that extract non-Gaussian properties of the matter distribution and complement two-point statistics. Computing the covariance…
View article: Making (dark matter) waves: Untangling wave interference for multi-streaming dark matter
Making (dark matter) waves: Untangling wave interference for multi-streaming dark matter Open
The classical dynamics of collisionless cold dark matter, commonly described by fluid variables or a phase-space distribution, can be captured in a single semiclassical wavefunction. We illustrate how classical multi-streaming creates wave…
View article: The matter density PDF for modified gravity and dark energy with Large Deviations Theory
The matter density PDF for modified gravity and dark energy with Large Deviations Theory Open
We present an analytical description of the probability distribution function (PDF) of the smoothed 3D matter density field for modified gravity and dark energy. Our approach, based on the principles of Large Deviations Theory, is applicab…
View article: Numerical complexity of the joint nulled weak-lensing probability distribution function
Numerical complexity of the joint nulled weak-lensing probability distribution function Open
In the context of tomographic cosmic shear surveys, there exists a nulling\ntransformation of weak lensing observations (also called BNT transform) that\nallows us to simplify the correlation structure of tomographic cosmic shear\nobservat…
View article: One-Point Statistics Matter in Extended Cosmologies
One-Point Statistics Matter in Extended Cosmologies Open
The late universe contains a wealth of information about fundamental physics and gravity, wrapped up in non-Gaussian fields. To make use of as much information as possible, it is necessary to go beyond two-point statistics. Rather than goi…
View article: The PDF perspective on the tracer-matter connection: Lagrangian bias and non-Poissonian shot noise
The PDF perspective on the tracer-matter connection: Lagrangian bias and non-Poissonian shot noise Open
We study the connection of matter density and its tracers from the probability density function (PDF) perspective. One aspect of this connection is the conditional expectation value 〈δtracer|δm〉 when averaging both tracer and matter densit…
View article: One-Point Statistics Matter in Extended Cosmologies
One-Point Statistics Matter in Extended Cosmologies Open
The late universe contains a wealth of information about fundamental physics and gravity, wrapped up in non-Gaussian fields. To make use of as much information as possible it is necessary to go beyond two-point statistics. Rather than goin…
View article: One-point statistics matter in extended cosmologies
One-point statistics matter in extended cosmologies Open
The late universe contains a wealth of information about fundamental physics and gravity, wrapped up in non-Gaussian fields. To make use of as much information as possible it is necessary to go beyond two-point statistics. Rather than goin…
View article: The PDF perspective on the tracer-matter connection: Lagrangian bias and\n non-Poissonian shot noise
The PDF perspective on the tracer-matter connection: Lagrangian bias and\n non-Poissonian shot noise Open
We study the connection of matter density and its tracers from the PDF\nperspective. One aspect of this connection is the conditional expectation value\n$\\langle \\delta_{\\mathrm{tracer}}|\\delta_m\\rangle$ when averaging both tracer\nan…
View article: Numerical complexity of the joint nulled weak-lensing probability distribution function
Numerical complexity of the joint nulled weak-lensing probability distribution function Open
In the context of tomographic cosmic shear surveys, there exists a nulling transformation of weak lensing observations (also called BNT transform) that allows us to simplify the correlation structure of tomographic cosmic shear observation…
View article: Nuw CDM cosmology from the weak-lensing convergence PDF
Nuw CDM cosmology from the weak-lensing convergence PDF Open
Pinning down the total neutrino mass and the dark energy equation of state is a key aim for upcoming galaxy surveys. Weak lensing is a unique probe of the total matter distribution whose non-Gaussian statistics can be quantified by the one…
View article: Higher order initial conditions for mixed baryon–CDM simulations
Higher order initial conditions for mixed baryon–CDM simulations Open
We present a novel approach to generate higher order initial conditions (ICs) for cosmological simulations that take into account the distinct evolution of baryons and dark matter. We focus on the numerical implementation and the validatio…
View article: Cosmological perturbations for two cold fluids in ΛCDM
Cosmological perturbations for two cold fluids in ΛCDM Open
The cosmic large-scale structure of our Universe is comprised of baryons and cold dark matter (CDM). Yet it is customary to treat these two components as a combined single-matter fluid with vanishing pressure, which is justified only for s…
View article: Primordial non-Gaussianity without tails – how to measure fNL with the bulk of the density PDF
Primordial non-Gaussianity without tails – how to measure fNL with the bulk of the density PDF Open
We investigate the possibility to detect primordial non-Gaussianity by analysing the bulk of the probability distribution function (PDF) of late-time cosmic density fluctuations. For this purpose, we devise a new method to predict the impa…
View article: Fisher for complements: extracting cosmology and neutrino mass from the counts-in-cells PDF
Fisher for complements: extracting cosmology and neutrino mass from the counts-in-cells PDF Open
We comprehensively analyse the cosmology dependence of counts-in-cells statistics. We focus on the shape of the one-point probability distribution function (PDF) of the matter density field at mildly non-linear scales. Based on large-devia…