Publications related to Cosmological constraints from the convergence 1-point probability distribution

Statistical Aspects of Wasserstein Distances

Wasserstein distances are metrics on probability distributions inspired by the problem of optimal mass transportation. Roughly speaking, they measure the minimal effort required to reconfigure the probability mass of one distribution in order to recover th ...

ANNUAL REVIEWS2019

Characterising the environment and the line of sight of gravitationally lensed quasars using weak lensing technique

Olga Tihhonova

Estimates of the Hubble constant from different cosmological probes produce discrepant results in the framework of the standard cosmological model. In order to assess whether this tension is coming from unaccounted systematic errors, or is hinting towards ...

EPFL2019

Precision theoretical methods for large-scale structure of the Universe

Mikhail Ivanov

We develop new analytic methods to accurately describe the formation of cosmic large-scale structure. These methods are based on the path integral formalism and allows one to efficiently address a number of long-standing problems in the field. We describe ...

EPFL2019

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Fei Pu

In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractional heat equations in spatial dimension

1

driven by space-time white noise. The main topic is the study of hitting probabilities for the solutions to these ...

EPFL2018

Mapping substructure in the HST Frontier Fields cluster lenses and in cosmological simulations

Jean-Paul Richard Kneib, Mathilde Jauzac, Hakim Atek, Johan Richard, Cristina Popa

We map the lensing-inferred substructure in the first three clusters observed by the Hubble Space Telescope Frontier Fields (HSTFF) Initiative: Abell 2744 (z = 0.308), MACSJ 0416, (z = 0.396) and MACSJ 1149 (z = 0.543). Statistically resolving dark matter ...

Oxford Univ Press2017

A detection of wobbling brightest cluster galaxies within massive galaxy clusters

Jean-Paul Richard Kneib, Frédéric Courbin, David Richard Harvey

A striking signal of dark matter beyond the standard model is the existence of cores in the centre of galaxy clusters. Recent simulations predict that a brightest cluster galaxy ( BCG) inside a cored galaxy cluster will exhibit residual wobbling due to pre ...

Oxford Univ Press2017

Time-sliced perturbation theory for large scale structure I: general formalism

Sergey Sibiryakov, Diego Blas Temino, Mikhail Ivanov

We present a new analytic approach to describe large scale structure formation in the mildly non-linear regime. The central object of the method is the time-dependent probability distribution function generating correlators of the cosmological observables ...

Iop Publishing Ltd2016

Asymptotically Optimal Matching of Multiple Sequences to Source Distributions and Training Sequences

Jayakrishnan Unnikrishnan

Consider a finite set of sources, each producing independent identically distributed observations that follow a unique probability distribution on a finite alphabet. We study the problem of matching a finite set of observed sequences to the set of sources ...

Institute of Electrical and Electronics Engineers2015

Adaptive polynomial approximation by means of random discrete least squares

Giovanni Migliorati

We address adaptive multivariate polynomial approximation by means of the discrete least-squares method with random evaluations, to approximate in the L2 probability sense a smooth function depending on a random variable distributed according to a given pr ...

Springer2015

Neutrino cosmology and Planck

Julien Lesgourgues

Relic neutrinos play an important role in the evolution of the Universe, modifying some of the cosmological observables. We summarize the main aspects of cosmological neutrinos and describe how the precision of present cosmological data can be used to lear ...

Iop Publishing Ltd2014

Cosmological constraints from the convergence 1-point probability distribution

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Statistical Aspects of Wasserstein Distances

Characterising the environment and the line of sight of gravitationally lensed quasars using weak lensing technique

Precision theoretical methods for large-scale structure of the Universe

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Mapping substructure in the HST Frontier Fields cluster lenses and in cosmological simulations

A detection of wobbling brightest cluster galaxies within massive galaxy clusters

Time-sliced perturbation theory for large scale structure I: general formalism

Asymptotically Optimal Matching of Multiple Sequences to Source Distributions and Training Sequences

Adaptive polynomial approximation by means of random discrete least squares

Neutrino cosmology and Planck

Characterising the environment and the line of sight of gravitationally lensed quasars using weak lensing technique

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Statistical Aspects of Wasserstein Distances

Asymptotically Optimal Matching of Multiple Sequences to Source Distributions and Training Sequences

Mapping substructure in the HST Frontier Fields cluster lenses and in cosmological simulations

Adaptive polynomial approximation by means of random discrete least squares

Precision theoretical methods for large-scale structure of the Universe

Time-sliced perturbation theory for large scale structure I: general formalism

A detection of wobbling brightest cluster galaxies within massive galaxy clusters

Neutrino cosmology and Planck